software.bib

@Book{lovelace_geocomputation_2019,
  title = {Geocomputation with {R}},
  isbn = {1-138-30451-4},
  url = {http://robinlovelace.net/geocompr},
  abstract = {Book on geographic data with R.},
  urldate = {2017-10-05TZ},
  publisher = {CRC Press},
  author = {Robin Lovelace and Jakub Nowosad and Jannes Meunchow},
  year = {2019},
  note = {bibtex:lovelace\_geocomputation\_2019},
}

@Book{gillespie_efficient_2016,
  title = {Efficient {R} {Programming}: {A} {Practical} {Guide} to {Smarter} {Programming}},
  isbn = {978-1-4919-5078-4},
  url = {https://csgillespie.github.io/efficientR/},
  publisher = {O'Reilly Media},
  author = {Colin Gillespie and Robin Lovelace},
  year = {2016},
}

@Book{grolemund_r_2016,
  title = {R for {Data} {Science}},
  isbn = {978-1-4919-1039-9},
  language = {English},
  publisher = {O'Reilly Media},
  author = {Garrett Grolemund and Hadley Wickham},
  month = {jul},
  year = {2016},
  note = {bibtex:grolemund\_r\_2016},
}

@Article{giusti_new_2018,
  series = {{EURO} {Mini} {Conference} on {"}{Advances} in {Freight} {Transportation} and {Logistics}{"}},
  title = {A {New} {Open}-source {System} for {Strategic} {Freight} {Logistics} {Planning}: the {SYNCHRO}-{NET} {Optimization} {Tools}},
  volume = {30},
  issn = {2352-1465},
  shorttitle = {A {New} {Open}-source {System} for {Strategic} {Freight} {Logistics} {Planning}},
  url = {http://www.sciencedirect.com/science/article/pii/S2352146518300991},
  doi = {10.1016/j.trpro.2018.09.027},
  abstract = {Globalization and e-commerce facilities have yielded in the recent years an incredibly huge increment of freight movements. Consequently, the underlying supply chains have become more and more complex to manage for the shipping companies, in terms of costs, distances, times, and environmental sustainability. SYNCHRO-NET, a H2020 European research project, aims to de-stress the international supply chains by fostering cost-effective and greener transportation alternatives. Besides other important actions, the SYNCHRO-NET framework provides an optimization and simulation toolset to support decision-making in freight logistics planning at a strategic level. The synchronized use of different transportation modes and the exploitation of smart steaming strategies for ship movements are the two main aspects considered in this innovative optimization system. In this paper, we present the optimization toolset developed, its contribution with respect to the existing platforms, and the experimental set-up implemented to evaluate its performance, usability, and effectiveness. The system is, in fact, currently under evaluation by several world-wide leading companies in freight logistics and transportation. However, the toolset potentialities go beyond the SYNCHRO-NET context, being the system an open-source project that makes use of open data formats and technologies.},
  urldate = {2019-04-17TZ},
  journal = {Transportation Research Procedia},
  author = {Riccardo Giusti and Daniele Manerba and Guido Perboli and Roberto Tadei and Shuai Yuan},
  month = {jan},
  year = {2018},
  keywords = {Decision Support Systems, Freight logistics, ICT, Network optimization, Open-source systems, Slow steaming, Synchro-modality},
  pages = {245--254},
}

@Article{laporte_fifty_2009,
  title = {Fifty {Years} of {Vehicle} {Routing}},
  volume = {43},
  issn = {0041-1655},
  url = {https://pubsonline.informs.org/doi/abs/10.1287/trsc.1090.0301},
  doi = {10.1287/trsc.1090.0301},
  abstract = {The Vehicle Routing Problem (VRP) was introduced 50 years ago by Dantzig and Ramser under the title “The Truck Dispatching Problem.” The study of the VRP has given rise to major developments in the fields of exact algorithms and heuristics. In particular, highly sophisticated exact mathematical programming decomposition algorithms and powerful metaheuristics for the VRP have been put forward in recent years. The purpose of this article is to provide a brief account of this development.},
  number = {4},
  urldate = {2019-04-17TZ},
  journal = {Transportation Science},
  author = {Gilbert Laporte},
  month = {oct},
  year = {2009},
  pages = {408--416},
}

@InProceedings{bast_fast_2010,
  series = {Lecture {Notes} in {Computer} {Science}},
  title = {Fast {Routing} in {Very} {Large} {Public} {Transportation} {Networks} {Using} {Transfer} {Patterns}},
  isbn = {978-3-642-15775-2},
  abstract = {We show how to route on very large public transportation networks (up to half a billion arcs) with average query times of a few milliseconds. We take into account many realistic features like: traffic days, walking between stations, queries between geographic locations instead of a source and a target station, and multi-criteria cost functions. Our algorithm is based on two key observations: (1) many shortest paths share the same transfer pattern, i.e., the sequence of stations where a change of vehicle occurs; (2) direct connections without change of vehicle can be looked up quickly. We precompute the respective data; in practice, this can be done in time linear in the network size, at the expense of a small fraction of non-optimal results. We have accelerated public transportation routing on Google Maps with a system based on our ideas. We report experimental results for three data sets of various kinds and sizes.},
  language = {en},
  booktitle = {Algorithms – {ESA} 2010},
  publisher = {Springer Berlin Heidelberg},
  author = {Hannah Bast and Erik Carlsson and Arno Eigenwillig and Robert Geisberger and Chris Harrelson and Veselin Raychev and Fabien Viger},
  editor = {Mark {de Berg} and Ulrich Meyer},
  year = {2010},
  keywords = {Local Search, Optimal Cost, Query Time, Target Station, Transfer Pattern},
  pages = {290--301},
}

@Article{iacono_measuring_2010,
  title = {Measuring non-motorized accessibility: issues, alternatives, and execution},
  volume = {18},
  issn = {09666923},
  url = {http://linkinghub.elsevier.com/retrieve/pii/S0966692309000210},
  doi = {10.1016/j.jtrangeo.2009.02.002},
  number = {1},
  journal = {Journal of Transport Geography},
  author = {Michael Iacono and Kevin J. Krizek and Ahmed El-Geneidy},
  month = {jan},
  year = {2010},
  pages = {133--140},
}

@InProceedings{krajzewicz_sumo_2002,
  title = {{SUMO} ({Simulation} of {Urban} {MObility})-an open-source traffic simulation},
  url = {http://elib.dlr.de/6661/},
  urldate = {2016-11-01TZ},
  booktitle = {Proceedings of the 4th {Middle} {East} {Symposium} on {Simulation} and {Modelling} ({MESM}20002)},
  author = {Daniel Krajzewicz and Georg Hertkorn and Christian R{\"o}ssel and Peter Wagner},
  editor = {A Al-Akaidi},
  year = {2002},
  pages = {183--187},
}

@Article{lovelace_stplanr:_2018,
  title = {stplanr: {A} {Package} for {Transport} {Planning}},
  volume = {10},
  url = {https://doi.org/10.32614/RJ-2018-053},
  doi = {10.32614/RJ-2018-053},
  abstract = {stplanr - R package providing functions and data access for transport research},
  number = {2},
  urldate = {2016-11-24TZ},
  journal = {The R Journal},
  author = {Robin Lovelace and Richard Ellison},
  year = {2018},
  pages = {7--23},
}

@Article{lovelace_big_2016,
  title = {From {Big} {Noise} to {Big} {Data}: {Toward} the {Verification} of {Large} {Data} sets for {Understanding} {Regional} {Retail} {Flows}},
  volume = {48},
  copyright = {© 2015 The Authors. Geographical Analysis published by Wiley Periodicals, Inc. on behalf of The Ohio State University, This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.},
  issn = {1538-4632},
  shorttitle = {From {Big} {Noise} to {Big} {Data}},
  url = {http://onlinelibrary.wiley.com/doi/10.1111/gean.12081/abstract},
  doi = {10.1111/gean.12081},
  abstract = {There has been much excitement among quantitative geographers about newly available data sets, characterized by high volume, velocity, and variety. This phenomenon is often labeled as “Big Data” and has contributed to methodological and empirical advances, particularly in the areas of visualization and analysis of social networks. However, a fourth v—veracity (or lack thereof)—has been conspicuously lacking from the literature. This article sets out to test the potential for verifying large data sets. It does this by cross-comparing three unrelated estimates of retail flows—human movements from home locations to shopping centers—derived from the following geo-coded sources: (1) a major mobile telephone service provider; (2) a commercial consumer survey; and (3) geotagged Twitter messages. Three spatial interaction models also provided estimates of flow: constrained and unconstrained versions of the “gravity model” and the recently developed “radiation model.” We found positive relationships between all data-based and theoretical sources of estimated retail flows. Based on the analysis, the mobile telephone data fitted the modeled flows and consumer survey data closely, while flows obtained directly from the Twitter data diverged from other sources. The research highlights the importance of verification in flow data derived from new sources and demonstrates methods for achieving this.},
  language = {en},
  number = {1},
  urldate = {2016-03-15TZ},
  journal = {Geographical Analysis},
  author = {Robin Lovelace and Mark Birkin and Philip Cross and Martin Clarke},
  month = {jan},
  year = {2016},
  keywords = {geographical analysis},
  pages = {59--81},
}

@Article{padgham_osmdata_2017,
  title = {osmdata},
  volume = {2},
  url = {https://doi.org/10.21105/joss.00305},
  doi = {10.21105/joss.00305},
  number = {14},
  journal = {The Journal of Open Source Software},
  author = {Mark Padgham and Robin Lovelace and Ma{\"e}lle Salmon and Bob Rudis},
  month = {jun},
  year = {2017},
  note = {bibtex: Padgham2017},
}

@Article{martinez_new_2013,
  title = {A new approach to modelling distance-decay functions for accessibility assessment in transport studies},
  volume = {26},
  issn = {09666923},
  doi = {10.1016/j.jtrangeo.2012.08.018},
  abstract = {This paper tries to break new ground in how distance-decay relationships are modelled in accessibility and transport demand studies and does it based on an innovative approach to empirical data collection on psychological perceptions of distance in relation with activities located in space and a new aggregate distance-decay function. This new approach improves on the quality of the representation of spatial interaction effects on transport demand modelling studies that commonly rely on generic curves barely confronted with empirical data. We compare the level of fit of the proposed curve with other distance-decay functions mentioned in the literature and used in practice and draw relevant conclusions on the proper model specification. © 2012 Elsevier Ltd.},
  journal = {Journal of Transport Geography},
  author = {L. Miguel Mart{\a'\i}nez and Jos{\a'e} Manuel Viegas},
  year = {2013},
  keywords = {Accessibility studies, Distance-decay functions, Spatial impedance functions, spatial interaction models},
  pages = {87--96},
}

@Book{boyce_forecasting_2015,
  title = {Forecasting {Urban} {Travel}: {Past}, {Present} and {Future}},
  isbn = {978-1-78471-359-1},
  shorttitle = {Forecasting {Urban} {Travel}},
  abstract = {Forecasting Urban Travel presents in a non-mathematical way the evolution of methods, models and theories underpinning travel forecasts and policy analysis, from the early urban transportation studies of the 1950s to current applications throughout the},
  language = {en},
  publisher = {Edward Elgar Publishing},
  author = {David E. Boyce and Huw C. W. L. Williams},
  month = {feb},
  year = {2015},
  keywords = {Business \& Economics / Industries / Transportation, Business {\textbackslash}\& Economics / Industries / Transportation, Transportation / Public Transportation},
}

@Article{pebesma_classes_2005,
  title = {Classes and methods for spatial data in {R}},
  volume = {5},
  url = {https://cran.r-project.org/doc/Rnews/Rnews_2005-2.pdf},
  number = {2},
  journal = {R news},
  author = {Edzer J Pebesma and Roger S Bivand},
  year = {2005},
  note = {bibtex:pebesma\_classes\_2005},
  pages = {9--13},
}

@Article{kahle_ggmap:_2013,
  title = {ggmap: {Spatial} {Visualization} with ggplot2},
  volume = {5},
  url = {http://stat405.had.co.nz/ggmap.pdf},
  journal = {The R Journal},
  author = {D Kahle and Hadley Wickham},
  year = {2013},
  note = {bibtex:kahle\_ggmap\_2013},
  pages = {144--161},
}

@Article{calenge_package_2006,
  title = {The package adehabitat for the {R} software: tool for the analysis of space and habitat use by animals},
  volume = {197},
  journal = {Ecological Modelling},
  author = {C. Calenge},
  year = {2006},
  note = {bibtex:calenge\_package\_2006},
  pages = {1035},
}

@Book{bivand_applied_2013,
  title = {Applied spatial data analysis with {R}},
  volume = {747248717},
  publisher = {Springer},
  author = {Roger Bivand and Edzer J Pebesma and Virgilio G{\a'o}mez-Rubio},
  year = {2013},
  note = {bibtex:bivand\_applied\_2013},
  keywords = {Mathematics / Probability \& Statistics / General, Medical / Biostatistics, Medical / General, Science / Earth Sciences / Geography, Science / Environmental Science, Technology \& Engineering / Environmental / General},
}

@Article{gilbert_comment_2016,
  title = {Comment on {"}{Estimating} the reproducibility of psychological science{"}},
  volume = {351},
  issn = {0036-8075, 1095-9203},
  url = {http://www.sciencemag.org/cgi/doi/10.1126/science.aad7243},
  doi = {10.1126/science.aad7243},
  language = {en},
  number = {6277},
  urldate = {2016-03-16TZ},
  journal = {Science},
  author = {D. T. Gilbert and G. King and S. Pettigrew and T. D. Wilson},
  month = {mar},
  year = {2016},
  pages = {1037--1037},
}

@Article{steiniger_2012_2013,
  title = {The 2012 free and open source {GIS} software map – {A} guide to facilitate research, development, and adoption},
  volume = {39},
  issn = {0198-9715},
  url = {http://www.sciencedirect.com/science/article/pii/S0198971512000890},
  doi = {10.1016/j.compenvurbsys.2012.10.003},
  abstract = {Over the last decade an increasing number of free and open source software projects have been founded that concentrate on developing several types of software for geographic data collection, storage, analysis and visualization. We first identify the drivers of such software projects and identify different types of geographic information software, e.g. desktop GIS, remote sensing software, server GIS etc. We then list the major projects for each software category. Afterwards we discuss the points that should be considered if free and open source software is to be selected for use in business and research, such as software functionality, license types and their restrictions, developer and user community characteristics, etc. Finally possible future developments are addressed.},
  urldate = {2016-02-15TZ},
  journal = {Computers, Environment and Urban Systems},
  author = {Stefan Steiniger and Andrew J. S. Hunter},
  month = {may},
  year = {2013},
  keywords = {FOSS4G, Free software, GIS software, Open source, Overview, Software selection},
  pages = {136--150},
}

@Article{papadopoulou_crowdsourcing_2014,
  title = {Crowdsourcing as a {Tool} for {Knowledge} {Acquisition} in {Spatial} {Planning}},
  volume = {6},
  issn = {1999-5903},
  url = {http://www.mdpi.com/1999-5903/6/1/109/},
  doi = {10.3390/fi6010109},
  language = {en},
  number = {1},
  urldate = {2016-01-18TZ},
  journal = {Future Internet},
  author = {Chrysaida-Aliki Papadopoulou and Maria Giaoutzi},
  month = {mar},
  year = {2014},
  keywords = {GIS-PPGIS, crowdsourcing, knowledge acquisition, problem solving process, public participation},
  pages = {109--125},
}

@Article{abadi_tensorflow:_2016,
  title = {{TensorFlow}: {Large}-{Scale} {Machine} {Learning} on {Heterogeneous} {Distributed} {Systems}},
  shorttitle = {{TensorFlow}},
  url = {http://arxiv.org/abs/1603.04467},
  abstract = {TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms. A computation expressed using TensorFlow can be executed with little or no change on a wide variety of heterogeneous systems, ranging from mobile devices such as phones and tablets up to large-scale distributed systems of hundreds of machines and thousands of computational devices such as GPU cards. The system is flexible and can be used to express a wide variety of algorithms, including training and inference algorithms for deep neural network models, and it has been used for conducting research and for deploying machine learning systems into production across more than a dozen areas of computer science and other fields, including speech recognition, computer vision, robotics, information retrieval, natural language processing, geographic information extraction, and computational drug discovery. This paper describes the TensorFlow interface and an implementation of that interface that we have built at Google. The TensorFlow API and a reference implementation were released as an open-source package under the Apache 2.0 license in November, 2015 and are available at www.tensorflow.org.},
  urldate = {2016-11-01TZ},
  journal = {arXiv:1603.04467 [cs]},
  author = {Mart{\a'\i}n Abadi and Ashish Agarwal and Paul Barham and Eugene Brevdo and Zhifeng Chen and Craig Citro and Greg S. Corrado and Andy Davis and Jeffrey Dean and Matthieu Devin and Sanjay Ghemawat and Ian Goodfellow and Andrew Harp and Geoffrey Irving and Michael Isard and Yangqing Jia and Rafal Jozefowicz and Lukasz Kaiser and Manjunath Kudlur and Josh Levenberg and Dan Mane and Rajat Monga and Sherry Moore and Derek Murray and Chris Olah and Mike Schuster and Jonathon Shlens and Benoit Steiner and Ilya Sutskever and Kunal Talwar and Paul Tucker and Vincent Vanhoucke and Vijay Vasudevan and Fernanda Viegas and Oriol Vinyals and Pete Warden and Martin Wattenberg and Martin Wicke and Yuan Yu and Xiaoqiang Zheng},
  month = {mar},
  year = {2016},
  note = {arXiv: 1603.04467},
  keywords = {Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Learning},
}

@Book{lovelace_spatial_2016,
  title = {Spatial microsimulation with {R}},
  url = {http://robinlovelace.net/spatial-microsim-book/},
  publisher = {CRC Press},
  author = {Robin Lovelace and Morgane Dumont},
  year = {2016},
}

@Book{brunsdon_introduction_2015,
  title = {An introduction to {R} for spatial analysis \& mapping},
  isbn = {1-4462-7294-X},
  publisher = {Sage},
  author = {Chris Brunsdon and Lex Comber},
  year = {2015},
}

@Book{crow_design_2007,
  address = {Amsterdam},
  title = {Design manual for bicycle traffic},
  url = {http://www.crow.nl/publicaties/design-manual-for-bicycle-traffic},
  publisher = {Kennisplatform},
  author = {{CROW}},
  year = {2007},
}

@Article{diana_measuring_2012,
  title = {Measuring the satisfaction of multimodal travelers for local transit services in different urban contexts},
  volume = {46},
  issn = {09658564},
  url = {http://dx.doi.org/10.1016/j.tra.2011.09.018},
  doi = {10.1016/j.tra.2011.09.018},
  abstract = {The importance of measuring customer satisfaction for a public transport service is apparent, even beyond more immediate marketing purposes. The present paper shows how satisfaction measures can be exploited to gain insights on the relationship between personal attitudes, transit use and urban context. We consider nine satisfaction measures of urban transit services, as expressed by a representative sample of Italian multimodal travelers (i.e. users of both private cars and public transport). We use correlations and correspondence analyses to show if and how each attribute is related to the levels of use of public transport, and how the relationship is affected by the urban context. Then we apply a recently developed method to combine ordinal variables into one score, by adapting it to work with large samples and with satisfaction measures which have a neutral point in the scale (i.e. {"} neither satisfied nor dissatisfied{"} ). The resulting overall satisfaction levels and frequency of use were not correlated in our sample. We also found the highest satisfaction levels in smaller towns and the lowest ones in metropolitan cities. Since we focus on multimodal travelers, an interpretation paradigm is proposed according to which transit services must be well evaluated by car drivers in smaller towns in order to be considered a real alternative to cars. On the other hand, transit is more competitive on factual elements in larger cities, so that it can still be used by drivers, even if it is not very well evaluated. ?? 2011 Elsevier Ltd.},
  number = {1},
  journal = {Transportation Research Part A: Policy and Practice},
  author = {Marco Diana},
  year = {2012},
  note = {bibtex: Diana2012 
bibtex[mendeley-groups=stplanr]},
  keywords = {Correspondence analysis, Customer satisfaction, Multimodality, Ordinal measures, Public transport},
  pages = {1--11},
}

@Article{el-geneidy_new_2014,
  title = {New evidence on walking distances to transit stops: {Identifying} redundancies and gaps using variable service areas},
  volume = {41},
  issn = {00494488},
  doi = {10.1007/s11116-013-9508-z},
  abstract = {The percentage of the population being served by a transit system in a metropolitan region is a key system performance measure but depends heavily on the definition of service area. Observing existing service areas can help identify transit system gaps and redundancies. In the public transit industry, buffers at 400 m (0.25 miles) around bus stops and 800 m (0.5 miles) around rail stations are commonly used to identify the area from which most transit users will access the system by foot. This study uses detailed OD survey information to generate service areas that define walking catchment areas around transit services in Montreal, Canada. The 85th percentile walking distance to bus transit service is found to be around 524 m for home-based trip origins, 1,259 m for home-based commuter rail trip origins. Yet these values are found to vary based on our analysis using two statistical models. Walking distances vary based on route and trip qualities (such as type of transit service, transfers and wait time), as well as personal, household, and neighbourhood characteristics. Accordingly, service areas around transit stations should vary based on the service offered and attributes of the people and places served. The generated service areas derived from the generalized statistical model are then used to identify gaps and redundancies at the system and route level using Montreal region as an example. This study can be of benefit to transport engineers and planners trying to maximize transit service coverage in a region while avoiding oversupply of service. © 2013 Springer Science+Business Media New York.},
  number = {1},
  journal = {Transportation},
  author = {Ahmed El-Geneidy and Michael Grimsrud and Rania Wasfi and Paul T{\a'e}treault and Julien Surprenant-Legault},
  year = {2014},
  note = {bibtex: El-Geneidy2014 
bibtex[mendeley-groups=stplanr]},
  keywords = {Accessibility to transit, Gaps in transit service, Redundancy in transit service, Service area, Transit stops, Walking distance},
  pages = {193--210},
}

@Article{daniels_explaining_2013,
  title = {Explaining walking distance to public transport: {The} dominance of public transport supply},
  volume = {6},
  issn = {1938-7849},
  url = {https://www.jtlu.org/index.php/jtlu/article/view/308},
  doi = {10.5198/jtlu.v6i2.308},
  abstract = {Potential influences on explaining walking distance from home to access public transport are investigated, including trip and demographic characteristics and public transport supply. In Sydney, Australia, people walk farther to the train than to the bus, the distributions of walking distances are different for each mode, and the trip and demographic characteristics of train and bus users are different. Given the decision to walk to public transport, demographic characteristics such as age, gender, income, and labor force status and trip characteristics such as trip purpose, time of day and week, fare and ticket type, and trip duration are not significant in explaining walking distance to each mode of public transport. The mode of the public transport trip is the most important determinant of walking distance, reflecting the different supply and spacing of each mode. For instance, there are many more bus stops than train stations. The differences between train and bus users suggest that accessibility initiatives for public transport might not be the same for each mode.},
  number = {2},
  journal = {Journal of Transport and Land Use},
  author = {Rhonda Daniels and Corinne Mulley},
  year = {2013},
  note = {bibtex: Daniels2013 
bibtex[mendeley-groups=stplanr]},
  keywords = {access to public transport, accessibility, land use},
  pages = {5},
}

@Article{cerin_walking_2013,
  title = {Walking for recreation and perceptions of the neighborhood environment in older {Chinese} urban dwellers},
  volume = {90},
  issn = {10993460},
  doi = {10.1007/s11524-012-9704-8},
  abstract = {Engagement in walking for recreation can contribute to healthy aging. Although there is growing evidence that the neighborhood environment can influence walking for recreation, the amount of such evidence in relation to older adults is scarce and limited to Western low-density urban locations. Asian urban environments are typified by distinctive environmental and cultural characteristics that may yield different patterns to those observed in Western countries. Therefore, the main aim of this study was to examine associations of perceived environmental attributes with overall and within-neighborhood walking for recreation in Chinese elders (65+ years) residing in Hong Kong, an ultradense Asian metropolis. A sample of 484 elders was recruited from 32 neighborhoods stratified by socio-economic status and walkability (dwelling and intersection densities). Validated questionnaires measuring perceived neighborhood environment and weekly minutes of overall and within-neighborhood walking for recreation were interviewer administered. Results showed that the level of recreational walking was twice to four times higher than that reported in Western adults and elders. While overall walking for recreation showed a general lack of associations with perceived environmental attributes, within-neighborhood recreational walking was positively related with proximity of recreational facilities, infrastructure for walking, indoor places for walking, and presence of bridge/overpasses connecting to services. Age and educational attainment moderated the associations with several perceived environmental attributes with older and less-educated participants showing stronger associations. Traditional cultural views on the benefits of physical activity and the high accessibility of facilities and pedestrian infrastructure of Hong Kong may explain the high levels of walking. Although specific neighborhood attributes, or their perception, may influence recreational walking within the neighborhood, the compactness and public transport affordability of ultradense metropolises such as Hong Kong may make it easy for elders to compensate for the lack of favorable neighborhood attributes by walking outside the neighborhood.},
  number = {1},
  journal = {Journal of Urban Health},
  author = {Ester Cerin and Cindy H P Sit and Anthony Barnett and Man Chin Cheung and Wai Man Chan},
  year = {2013},
  pmid = {22678651},
  note = {bibtex: Cerin2013 
bibtex[mendeley-groups=stplanr] },
  keywords = {Moderators, Older adults, Perceived environment, Walking for recreation},
  pages = {56--66},
}

@Article{efthymiou_use_2012,
  title = {Use of {Social} {Media} for {Transport} {Data} {Collection}},
  volume = {48},
  issn = {18770428},
  url = {http://dx.doi.org/10.1016/j.sbspro.2012.06.1055},
  doi = {10.1016/j.sbspro.2012.06.1055},
  abstract = {The multi-characteristic synthesis of internet and social network users (different nationality, age, education level, interests) renders these platforms powerful tools, suitable for many purposes. Until now, businesses use them for marketing, political candidates for their election campaigns, information networks for news updates, companies for recruitment and, most recently, nations for revolutions. In this paper, the use of social networks for conducting transport surveys is presented. The integration with e-mail providers broadens their use and makes them more suitable for data collection. In addition, statistics regarding discussions (tweets) with words related to the survey's subject were extracted from Twitter and evaluated. Since the applications of social and other internet networks are always developed, their use for internet surveys should be further examined in the future.},
  number = {August 2016},
  journal = {Procedia - Social and Behavioral Sciences},
  author = {Dimitrios Efthymiou and Constantinos Antoniou},
  year = {2012},
  note = {bibtex: Efthymiou2012 
bibtex[mendeley-groups=stplanr]},
  pages = {775--785},
}

@Article{pebesma_software_2015,
  title = {Software for {Spatial} {Statistics}},
  volume = {63},
  url = {http://brage.bibsys.no/xmlui/bitstream/id/320781/Pebesma_Bivand_Ribeiro.pdf},
  number = {1},
  urldate = {2016-11-06TZ},
  journal = {Journal of Statistical Software},
  author = {Edzer Pebesma and Roger Bivand and Paulo Justiniano Ribeiro and {others}},
  year = {2015},
  pages = {1--8},
}

@Misc{luraschi_sparklyr:_2016,
  title = {sparklyr: {R} {Interface} to {Apache} {Spark}},
  url = {https://CRAN.R-project.org/package=sparklyr},
  author = {Javier Luraschi and Kevin Ushey and J. J. Allaire and {The Apache Software Foundation}},
  year = {2016},
  note = {R package version 0.4},
}

@Article{diana_studying_2012,
  title = {Studying {Patterns} of {Use} of {Transport} {Modes} {Through} {Data} {Mining}},
  volume = {2308},
  issn = {0361-1981},
  url = {http://trrjournalonline.trb.org/doi/abs/10.3141/2308-01},
  doi = {10.3141/2308-01},
  abstract = {Data collection activities related to travel require large amounts of financial and human resources to be conducted successfully. When available resources are scarce, the information hidden in these data sets needs to be exploited, both to increase their added value and to gain support among decision makers not to discontinue such efforts. This study assessed the use of a data mining technique, association analysis, to understand better the patterns of mode use from the 2009 U.S. National Household Travel Survey. Only variables related to self-reported levels of use of the different transportation means are considered, along with those useful to the socioeconomic characterization of the respondents. Association rules potentially showed a substitution effect between cars and public transportation, in economic terms but such an effect was not observed between public transportation and nonmotorized modes (e.g., bicycling and walking). This effect was a policy-relevant finding, because transit marketing should be targeted to car drivers rather than to bikers or walkers for real improvement in the environmental performance of any transportation system. Given the competitive advantage of private modes extensively discussed in the literature, modal diversion from car to transit is seldom observed in practice. However, after such a factor was controlled, the results suggest that modal diversion should mainly occur from cars to transit rather than from nonmotorized modes to transit.},
  urldate = {2016-11-01TZ},
  journal = {Transportation Research Record: Journal of the Transportation Research Board},
  author = {Marco Diana},
  month = {dec},
  year = {2012},
  pages = {1--9},
}

@Article{bonnel_passive_2014,
  title = {Passive mobile phone dataset to construct origin-destination matrix : potentials and limitations 1 {Literature} survey},
  journal = {10th International Conference on Transport Survey Methods},
  author = {Patrick Bonnel and Etienne Hombourger},
  year = {2014},
  keywords = {Travel survey, mobile phone data, origin-destination matrix, passive data},
  pages = {1--20},
}

@Book{kabacoff_r_2011,
  title = {R in {Action}},
  publisher = {Manning Publications Co.},
  author = {Robert Kabacoff},
  year = {2011},
}

@Misc{kim_spatialepi:_2016,
  title = {{SpatialEpi}: {Methods} and {Data} for {Spatial} {Epidemiology}},
  url = {https://CRAN.R-project.org/package=SpatialEpi},
  author = {Albert Y. Kim and Jon Wakefield},
  year = {2016},
  note = {R package version 1.2.2},
}

@Article{walker_tigris:_2016,
  title = {tigris: {An} {R} {Package} to {Access} and {Work} with {Geographic} {Data} from the {US} {Census} {Bureau}},
  journal = {The R Journal},
  author = {Kyle Walker},
  year = {2016},
}

@Misc{bivand_rgeos:_2016,
  title = {rgeos: {Interface} to {Geometry} {Engine} - {Open} {Source} ({GEOS})},
  url = {https://CRAN.R-project.org/package=rgeos},
  author = {Roger Bivand and Colin Rundel},
  year = {2016},
  note = {R package version 0.3-20 
bibtex: bivand\_rgeos\_2016},
}

@Misc{brown_diseasemapping:_2016,
  title = {diseasemapping: {Modelling} {Spatial} {Variation} in {Disease} {Risk} for {Areal} {Data}},
  url = {https://CRAN.R-project.org/package=diseasemapping},
  author = {Patrick E. Brown and L. Zhou},
  year = {2016},
  note = {R package version 1.4.2 
bibtex: diseasemappingPackage},
}

@Book{dorman_learning_2014,
  title = {Learning {R} for {Geospatial} {Analysis}},
  publisher = {Packt Publishing Ltd},
  author = {Michael Dorman},
  year = {2014},
}

@Article{eugster_osmar:_2012,
  title = {osmar: {OpenStreetMap} and {R}},
  volume = {5},
  issn = {20734859},
  abstract = {OpenStreetMap provides freely accessible and editable geographic data. The osmar package smoothly integrates the OpenStreetMap project into the R ecosystem. The osmar package provides infrastructure to access OpenStreetMap data from different sources, to enable working with the OSM data in the familiar R idiom, and to convert the data into objects based on classes provided by existing R packages. This paper explains the package’s concept and shows how to use it. As an application we present a simple navigation device.},
  number = {1},
  journal = {The R Journal},
  author = {Manuel J a Eugster and Thomas Schlesinger},
  year = {2012},
  pages = {53--64},
}

@Article{peng_reproducible_2006,
  title = {Reproducible epidemiologic research},
  volume = {163},
  issn = {0002-9262},
  url = {http://www.ncbi.nlm.nih.gov/pubmed/16510544},
  doi = {10.1093/aje/kwj093},
  abstract = {The replication of important findings by multiple independent investigators is fundamental to the accumulation of scientific evidence. Researchers in the biologic and physical sciences expect results to be replicated by independent data, analytical methods, laboratories, and instruments. Epidemiologic studies are commonly used to quantify small health effects of important, but subtle, risk factors, and replication is of critical importance where results can inform substantial policy decisions. However, because of the time, expense, and opportunism of many current epidemiologic studies, it is often impossible to fully replicate their findings. An attainable minimum standard is {"}reproducibility,{"} which calls for data sets and software to be made available for verifying published findings and conducting alternative analyses. The authors outline a standard for reproducibility and evaluate the reproducibility of current epidemiologic research. They also propose methods for reproducible research and implement them by use of a case study in air pollution and health.},
  number = {9},
  journal = {American journal of epidemiology},
  author = {Roger D. Peng and Francesca Dominici and Scott L. Zeger},
  month = {may},
  year = {2006},
  pmid = {16510544},
  keywords = {Air Pollution, Air Pollution: statistics \& numerical data, Environmental Illness, Environmental Illness: epidemiology, Epidemiologic Research Design, Humans, Information dissemination, Models, Reproducibility of Results, Statistical},
  pages = {783--9},
}

@Article{ince_case_2012,
  title = {The case for open computer programs},
  volume = {482},
  issn = {0028-0836, 1476-4687},
  url = {http://www.nature.com/doifinder/10.1038/nature10836},
  doi = {10.1038/nature10836},
  number = {7386},
  urldate = {2015-10-18TZ},
  journal = {Nature},
  author = {Darrel C. Ince and Leslie Hatton and John Graham-Cumming},
  month = {feb},
  year = {2012},
  pages = {485--488},
}

@Article{zhang_icon_2004,
  title = {The icon imagemap technique for multivariate geospatial data visualization: approach and software system},
  volume = {31},
  issn = {1523-0406},
  number = {1},
  journal = {Cartography and Geographic Information Science},
  author = {Xianfeng Zhang and Micha Pazner},
  year = {2004},
  pages = {29--41},
}

@Article{zastrow_science_2015,
  title = {Science on the map},
  volume = {519},
  url = {https://spacegrant.arizona.edu/sites/spacegrant.arizona.edu/files/documents/opportunities/symposium/2015/presentations/H12/kurtzberg_laura_3.pdf},
  number = {2015},
  urldate = {2016-10-19TZ},
  journal = {Nature},
  author = {Mark Zastrow},
  year = {2015},
  pages = {119--120},
}

@Article{dodge_crowdsourced_2013,
  title = {Crowdsourced cartography: mapping experience and knowledge},
  volume = {45},
  issn = {0308-518X, 1472-3409},
  shorttitle = {Crowdsourced cartography},
  url = {http://epn.sagepub.com/lookup/doi/10.1068/a44484},
  doi = {10.1068/a44484},
  language = {en},
  number = {1},
  urldate = {2016-10-19TZ},
  journal = {Environment and Planning A},
  author = {Martin Dodge and Rob Kitchin},
  year = {2013},
  pages = {19--36},
}

@Book{akerman_imperial_2009,
  title = {The {Imperial} {Map}: {Cartography} and the {Mastery} of {Empire}},
  isbn = {978-0-226-01076-2},
  shorttitle = {The {Imperial} {Map}},
  abstract = {Maps from virtually every culture and period—from Babylonian world maps to Saul Steinberg’s famous New Yorker cover illustration, “View of the World from 9th Avenue”—convey our tendency to see our communities as the center of the world (if not the universe) and, by implication, as superior to anything beyond these immediate boundaries. Mapping has long been a tool by which ruling bodies could claim their entitlement to lands and peoples. It is this aspect of cartography that James R. Akerman and a group of distinguished contributors address in The Imperial Map. Critically reflecting on elements of mapping and imperialism from the late seventeenth century to the early twentieth century, the essays discuss the nature of the imperial map through a series of case studies of empires, from the Qing dynasty of China, to the Portuguese empire in South America, to American imperial pretensions in the Pacific Ocean, among others. Collectively, the essays reveal that the relationship between mapping and imperialism, as well as the practice of political and economic domination of weak polities by stronger ones, is a rich and complex historical theme that continues to resonate in our modern day.},
  language = {en},
  publisher = {University of Chicago Press},
  author = {James R. Akerman},
  month = {mar},
  year = {2009},
  note = {Google-Books-ID: OiMoIE5sDZ8C},
  keywords = {History / General, Reference / Atlases, Gazetteers \& Maps, Science / Earth Sciences / Geography, Science / General, Technology \& Engineering / Cartography},
}

@Article{dorling_area_2011,
  title = {Area {Cartograms}: {Their} {Use} and {Creation}},
  issn = {0 306-6142},
  doi = {10.1002/9780470979587.ch33},
  abstract = {This book provides an introduction to the concept of cartograms, the various methods of creating them, and some common applications. It contains a large number of colour figures to visually demonstrate the power of cartograms, drawn from many different sources.},
  journal = {The Map Reader: Theories of Mapping Practice and Cartographic Representation},
  author = {Daniel Dorling},
  year = {2011},
  keywords = {Area cartograms - their use and creation, Circular cartograms, Competing cartogram algorithms, Exploring popularity of technique in political car, Political cartography, Term physical accretion model - and constructing c},
  pages = {252--260},
}

@Book{roller_eratosthenes_2010,
  title = {Eratosthenes' {"}{Geography}{"}},
  isbn = {0-691-14267-X},
  url = {http://books.google.co.uk/books?id=8peKyWK_SWsC},
  abstract = {This is the first modern edition and first English translation of one of the earliest and most important works in the history of geography, the third-century Geographika of Eratosthenes. In this work, which for the first time described the geography of the entire inhabited world as it was then known, Eratosthenes of Kyrene (ca. 285-205 BC) invented the discipline of geography as we understand it. A polymath who served as librarian at Alexandria and tutor to the future King Ptolemy IV, Eratosthenes created the terminology of geography, probably including the word geographia itself. Building on his previous work, in which he determined the size and shape of the earth, Eratosthenes in the Geographika created a grid of parallels and meridians that linked together every place in the world: for the first time one could figure out the relationship and distance between remote localities, such as northwest Africa and the Caspian Sea. The Geographika also identified some four hundred places, more than ever before, from Thoule (probably Iceland) to Taprobane (Sri Lanka), and from well down the coast of Africa to Central Asia. This is the first collation of the more than 150 fragments of the Geographika in more than a century. Each fragment is accompanied by an English translation, a summary, and commentary. Duane W. Roller provides a rich background, including a history of the text and its reception, a biography of Eratosthenes, and a comprehensive account of ancient Greek geographical thought and of Eratosthenes' pioneering contribution to it. This edition also includes maps that show all of the known places named in the Geographika, appendixes, a bibliography, and indexes.},
  language = {en},
  publisher = {Princeton University Press},
  author = {D. Roller},
  month = {jan},
  year = {2010},
  keywords = {History / Ancient / General, History / Ancient / Greece, History / Historical Geography, Science / History, Travel / Essays \& Travelogues},
}

@Article{baath_state_2012,
  title = {The state of naming conventions in {R}},
  volume = {4},
  url = {https://journal.r-project.org/archive/2012-2/RJournal_2012-2_Baaaath.pdf},
  number = {2},
  urldate = {2016-07-15TZ},
  journal = {The R Journal},
  author = {Rasmus Baath},
  year = {2012},
  pages = {74--75},
}

@InCollection{cheshire_spatial_2015,
  title = {Spatial data visualisation with {R}},
  url = {https://github.com/geocomPP/sdv},
  booktitle = {Geocomputation},
  publisher = {SAGE Publications},
  author = {James Cheshire and Robin Lovelace},
  editor = {Chris Brunsdon and Alex Singleton},
  year = {2015},
  pages = {1--14},
}

@Article{lovelace_introduction_2014,
  title = {Introduction to visualising spatial data in {R}},
  url = {https://github.com/Robinlovelace/Creating-maps-in-R},
  abstract = {This tutorial is an introduction to spatial data in R and map making with R's `base' graphics and the popular graphics package ggplot2. It assumes no prior knowledge of spatial data analysis but prior understanding of the R command line would be beneficial. For people new to R, we recommend working through an `Introduction to R' type tutorial, such as {"}A (very) short introduction to R{"} (Torfs and Brauer, 2012) or the more geographically inclined {"}Short introduction to R{"} (Harris, 2012). Building on such background material, the following set of exercises is concerned with specific functions for spatial data and visualisation. It is divided into five parts: *Introduction, which provides a guide to R's syntax and preparing for the tutorial *Spatial data in R, which describes basic spatial functions in R *Manipulating spatial data, which includes changing projection, clipping and spatial joins *Map making with ggplot2, a recent graphics package for producing beautiful maps quickly *Taking spatial analysis in R further, a compilation of resources for furthering your skills An up-to-date version of this tutorial is maintained at https://github.com/Robinlovelace/Creating-maps-in-R and the entire tutorial, including the input data can be downloaded as a zip file, as described below. The entire tutorialwas written in RMarkdown, which allows R code to run as the document compiles. Thus all the examples are entirely reproducible. Suggested improvements welcome - please fork, improve and push this document to its original home to ensure its longevity. The tutorial was developed for a series of Short Courses put on by the National Centre for Research Methods, via the TALISMAN node (see geotalisman.org).},
  number = {03},
  journal = {Comprehensive R Archive Network},
  author = {Robin Lovelace and James Cheshire},
  year = {2014},
}

@Book{ortuzar_modelling_2001,
  title = {Modelling transport},
  isbn = {0-471-86110-3},
  abstract = {Transport planning, infrastructure project evaluation and policy making, particularly at the urban level, continue to be important issues in the 21st century. Transport modelling requires mathematical techniques in order to make predictions, which can then be utilised in planning and design. This is the basis for improved decision-making and planning in the transport arena. Building on the tremendous success of the previous editions, the new Modelling Transport continues to be the state of the art text in its field. As before, this third edition provides comprehensive and rigorous information and guidance, enabling readers to make practical use of every available technique. Presenting the following features: * A substantially updated section on data collection techniques * An examination of the latest topical modelling approaches, including new material on Probit Model estimation (now possible in practice) and Mixed Logit specification and estimation * New treatment of joint time-of-travel and assignment modelling * Significant new material on Stated Preferences * Added coverage of travel time valuation and, importantly, of the valuation of externalities such as accidents and environmental effects This book is the leader in its subject area, and gives the reader a unique contemporary account of key transport modelling techniques and applications. As before, each subject is approached as a modelling exercise with discussion of the roles of theory, data, model specification, estimation, validation and application. Techniques are included for selecting the right level of analysis and detail for modelling purposes, as well as how to adapt existing tools to serve the needs of regular updating of models and plans. Graduate and postgraduate students in transport engineering and planning, practicing transport engineers, consultants, planners and professional societies, as well as government agencies and district and city councils will find this an essential and valuable text.},
  publisher = {John Wiley and Sons},
  author = {Juan de Dios Ort{\a'u}zar and Luis G. Willumsen},
  year = {2001},
}

@Article{alexander_validation_2015,
  title = {Validation of origin-destination trips by purpose and time of day inferred from mobile phone data},
  issn = {0968-090X},
  url = {http://dx.doi.org/10.1016/j.trc.2015.02.018},
  doi = {10.1016/j.trc.2015.02.018},
  journal = {Transportation Research Part B: Methodological},
  author = {Lauren Alexander and Shan Jiang and Mikel Murga and Marta C Gonz},
  year = {2015},
  keywords = {Data Mining, human mobility, mobile phone data, trip production and},
  pages = {1--20},
}

@Article{waddell_urbansim:_2002,
  title = {{UrbanSim}: {Modeling} urban development for land use, transportation, and environmental planning},
  volume = {68},
  issn = {0194-4363},
  number = {3},
  journal = {Journal of the American Planning Association},
  author = {Paul Waddell},
  year = {2002},
  pages = {297--314},
}

@Article{murrell_gridsvg_2014,
  title = {The {gridSVG} {Package}},
  volume = {6},
  number = {1},
  journal = {The R Journal},
  author = {Paul Murrell and Simon Potter},
  year = {2014},
  keywords = {Computer graphics, Lattice theory, R (Computer program language)},
}

@Article{commenges_slider:_2014,
  title = {{SLIDER}: {Software} for {LongItudinal} {Data} {Exploration} with {R}},
  copyright = {© CNRS-UMR Géographie-cités 8504},
  issn = {1278-3366},
  shorttitle = {{SLIDER}},
  url = {http://cybergeo.revues.org/26530},
  doi = {10.4000/cybergeo.26530},
  abstract = {Cet article présente une plateforme web interactive baptisée “SLIDER” et un type de graphique original baptisé “graphique en coulées” (slide plot), ces deux outils étant conçus pour explorer des données longitudinales. L’article commence par un court état de l’art des modes de visualisation existants pour analyser les données longitudinales. Il poursuit par une présentation de l’usage et des caractéristiques techniques du graphique en coulées. Enfin, il décrit la plateforme interactive mise en place avec le package shiny du logiciel R.},
  language = {en},
  urldate = {2016-03-22TZ},
  journal = {Cybergeo : European Journal of Geography},
  author = {Hadrien Commenges and Pierre Pistre and Robin Cura},
  month = {nov},
  year = {2014},
  keywords = {application shiny, données longitudinales, logiciel R, visualisation interactive},
}

@Article{gatto_visualization_2015,
  title = {Visualization of proteomics data using {R} and {Bioconductor}},
  volume = {15},
  issn = {1615-9861},
  url = {http://onlinelibrary.wiley.com/doi/10.1002/pmic.201400392/abstract},
  doi = {10.1002/pmic.201400392},
  abstract = {Data visualization plays a key role in high-throughput biology. It is an essential tool for data exploration allowing to shed light on data structure and patterns of interest. Visualization is also of paramount importance as a form of communicating data to a broad audience. Here, we provided a short overview of the application of the R software to the visualization of proteomics data. We present a summary of R's plotting systems and how they are used to visualize and understand raw and processed MS-based proteomics data.},
  language = {en},
  number = {8},
  urldate = {2016-03-22TZ},
  journal = {PROTEOMICS},
  author = {Laurent Gatto and Lisa M. Breckels and Thomas Naake and Sebastian Gibb},
  month = {apr},
  year = {2015},
  keywords = {Bioconductor, Bioinformatics, Data analysis, Programming, R, visualization},
  pages = {1375--1389},
}

@Misc{murrell_advanced_2011,
  title = {Advanced {SVG} {Graphics} from {R}},
  url = {https://www.stat.auckland.ac.nz/~paul/Reports/leaf/leaf.html},
  urldate = {2016-03-22TZ},
  author = {Paul Murrell and Simon Potter},
  year = {2011},
}

@Article{rojas-rueda_health_2016,
  title = {Health {Impacts} of {Active} {Transportation} in {Europe}},
  volume = {11},
  issn = {1932-6203},
  url = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0149990},
  doi = {10.1371/journal.pone.0149990},
  abstract = {Policies that stimulate active transportation (walking and bicycling) have been related to heath benefits. This study aims to assess the potential health risks and benefits of promoting active transportation for commuting populations (age groups 16–64) in six European cities. We conducted a health impact assessment using two scenarios: increased cycling and increased walking. The primary outcome measure was all-cause mortality related to changes in physical activity level, exposure to fine particulate matter air pollution with a diameter \<2.5 μm, as well as traffic fatalities in the cities of Barcelona, Basel, Copenhagen, Paris, Prague, and Warsaw. All scenarios produced health benefits in the six cities. An increase in bicycle trips to 35\% of all trips (as in Copenhagen) produced the highest benefits among the different scenarios analysed in Warsaw 113 (76–163) annual deaths avoided, Prague 61 (29–104), Barcelona 37 (24–56), Paris 37 (18–64) and Basel 5 (3–9). An increase in walking trips to 50\% of all trips (as in Paris) resulted in 19 (3–42) deaths avoided annually in Warsaw, 11(3–21) in Prague, 6 (4–9) in Basel, 3 (2–6) in Copenhagen and 3 (2–4) in Barcelona. The scenarios would also reduce carbon dioxide emissions in the six cities by 1,139 to 26,423 (metric tonnes per year). Policies to promote active transportation may produce health benefits, but these depend of the existing characteristics of the cities. Increased collaboration between health practitioners, transport specialists and urban planners will help to introduce the health perspective in transport policies and promote active transportation.},
  number = {3},
  urldate = {2016-03-16TZ},
  journal = {PLOS ONE},
  author = {David Rojas-Rueda and Audrey de Nazelle and Zorana J. Andersen and Charlotte Braun-Fahrl{\"a}nder and Jan Bruha and Hana Bruhova-Foltynova and H{\a'e}l{\a`e}ne Desqueyroux and Corinne Praznoczy and Martina S. Ragettli and Marko Tainio and Mark J. Nieuwenhuijsen},
  month = {mar},
  year = {2016},
  note = {bibtex: rojas-rueda\_health\_2016},
  keywords = {Air pollution, Behavioral and social aspects of health, Carbon dioxide, Death rates, Health care policy, Roads, Toxicity, transportation},
  pages = {e0149990},
}

@Article{rogoff_growth_2010,
  title = {Growth in a {Time} of {Debt}},
  volume = {100},
  url = {http://www.nber.org/papers/w15639.pdf},
  number = {2},
  journal = {American Economic Review},
  author = {Kenneth Rogoff and Carmen Reinhart},
  year = {2010},
  pages = {573--578},
}

@Article{burgoine_associations_2014,
  title = {Associations between exposure to takeaway food outlets, takeaway food consumption, and body weight in {Cambridgeshire}, {UK}: population based, cross sectional study},
  volume = {348},
  copyright = {© Burgoine et al 2014. This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 3.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/3.0/.},
  issn = {1756-1833},
  shorttitle = {Associations between exposure to takeaway food outlets, takeaway food consumption, and body weight in {Cambridgeshire}, {UK}},
  url = {http://www.bmj.com/content/348/bmj.g1464},
  doi = {10.1136/bmj.g1464},
  abstract = {Objectives To examine the association between environmental exposure to takeaway food outlets, takeaway food consumption, and body weight, while accounting for home, work place, and commuting route environments.
Design Population based, cross sectional study, using data on individual participants’ diet and weight, and objective metrics of food environment exposure.
Participants Working adults participating in the Fenland Study, Cambridgeshire, UK (n=5442, aged 29-62 years), who provided home and work addresses and commuting preferences. Takeaway food outlet exposure was derived using data from local authorities for individual environmental domains (at home, at work, and along commuting routes (the shortest route between home and work)), and for exposure in all three domains combined. Exposure was divided into quarters (Q); Q1 being the least exposed and Q4 being the most exposed.
Main outcome measures Self reported consumption of takeaway type food (g/day; pizza, burgers, fried foods, and chips) using food frequency questionnaires, measured body mass index, and cut-offs for body mass index as defined by the World Health Organization.
Results In multiple linear regression models, exposure to takeaway food outlets was positively associated with consumption of takeaway food. Among domains at home, at work, and along commuting routes, associations were strongest in work environments (Q4 v Q1; β coefficient=5.3 g/day, 95\% confidence interval 1.6 to 8.7; P{\textless}0.05), with evidence of a dose-response effect. Associations between exposure in all three domains combined and consumption were greater in magnitude across quarters of exposure (Q4 v Q1; 5.7 g/day, 2.6 to 8.8; P{\textless}0.001), with evidence of a dose-response effect. Combined exposure was especially strongly associated with increased body mass index (Q4 v Q1; body mass index 1.21, 0.68 to 1.74; P{\textless}0.001) and odds of obesity (Q4 v Q1; odds ratio 1.80, 1.28 to 2.53; P{\textless}0.05). There was no evidence of effect modification by sex.
Conclusions Exposure to takeaway food outlets in home, work, and commuting environments combined was associated with marginally higher consumption of takeaway food, greater body mass index, and greater odds of obesity. Government strategies to promote healthier diets through planning restrictions for takeaway food could be most effective if focused around the workplace.},
  language = {en},
  urldate = {2016-03-16TZ},
  journal = {BMJ},
  author = {Thomas Burgoine and Nita G. Forouhi and Simon J. Griffin and Nicholas J. Wareham and Pablo Monsivais},
  month = {mar},
  year = {2014},
  pmid = {24625460},
  pages = {g1464},
}

@Article{murrell_raster_2011,
  title = {Raster images in {R} graphics},
  volume = {3},
  url = {http://journal.r-project.org/archive/2011-1/RJournal_2011-1_Murrell.pdf},
  number = {1},
  urldate = {2016-03-11TZ},
  journal = {The R Journal},
  author = {Paul Murrell},
  year = {2011},
  pages = {48--54},
}

@Misc{hollander_who_2015,
  title = {Who will save us from the misuse of transport models?},
  url = {http://www.ctthink.com/publications.html},
  publisher = {CTthink},
  author = {Yaron Hollander},
  year = {2015},
}

@Article{levinson_minimum_2009,
  title = {The minimum circuity frontier and the journey to work},
  volume = {39},
  issn = {01660462},
  doi = {10.1016/j.regsciurbeco.2009.07.003},
  number = {6},
  journal = {Regional Science and Urban Economics},
  author = {David Levinson and Ahmed El-Geneidy},
  month = {nov},
  year = {2009},
  pages = {732--738},
}