A GPS data-based analysis of built environment influences on bicyclist route preferences

References

• Abdi, H., & Williams, L. J. (2010). Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics, 2, 433–459.
   Google Scholar
• ACS, U.S.C.B. (2013). American Community Survey. using American FactFinder.
   Google Scholar
• Akar, G., & Clifton, K. J. (2009). Influence of individual perceptions and bicycle infrastructure on decision to bike. Transportation Research Record: Journal of the Transportation Research Board, 2140, 165–172.
   Web of Science ®Google Scholar
• Bíl, M., Andrášik, R., & Kubeček, J. (2015). How comfortable are your cycling tracks? A new method for objective bicycle vibration measurement. Transportation Research Part C: Emerging Technologies, 56, 415–425.
   Web of Science ®Google Scholar
• Bekhor, S., Ben-Akiva, M. E., & Ramming, M. S. (2006). Evaluation of choice set generation algorithms for route choice models. Annals of Operations Research, 144, 235–247.
   Web of Science ®Google Scholar
• Ben-Akiva, M., & Bierlaire, M. (1999). Discrete choice methods and their applications to short term travel decisions. Handbook of transportation science. Springer, pp. 5–33.
   Google Scholar
• Bierlaire, M., Chen, J., & Newman, J. (2013). A probabilistic map matching method for smartphone GPS data. Transportation Research Part C: Emerging Technologies, 26, 78–98.
   Web of Science ®Google Scholar
• Boarnet, M. G., Day, K., Anderson, C., McMillan, T., & Alfonzo, M. (2005). California's Safe Routes to School program: impacts on walking, bicycling, and pedestrian safety. Journal of the American Planning Association, 71, 301–317.
   Web of Science ®Google Scholar
• Bovy, P. H. (2009). On modelling route choice sets in transportation networks: a synthesis. Transport Reviews, 29, 43–68.
   Web of Science ®Google Scholar
• Broach, J., Dill, J., & Gliebe, J. (2012). Where do cyclists ride? A route choice model developed with revealed preference GPS data. Transportation Research Part A: Policy and Practice.
   Web of Science ®Google Scholar
• Broach, J., Gliebe, J., & Dill, J. (2010). Calibrated labeling method for generating bicyclist route choice sets incorporating unbiased attribute variation. Transportation Research Record: Journal of the Transportation Research Board, 2197, 89–97.
   Web of Science ®Google Scholar
• Buckley, A., Lowry, M. B., Brown, H., & Barton, B. (2013). Evaluating safe routes to school events that designate days for walking and bicycling. Transport Policy, 30, 294–300.
   Web of Science ®Google Scholar
• Casello, J., & Usyukov, V. (2014). Modeling Cyclists' Route Choice Based on GPS Data. Transportation Research Record: Journal of the Transportation Research Board, 2430, 155–161.
   Web of Science ®Google Scholar
• Chen, L., Chen, C., Ewing, R., McKnight, C. E., Srinivasan, R., & Roe, M. (2013). Safety countermeasures and crash reduction in New York City experience and lessons learned. Accident Analysis & Prevention, 50, 312–322.
   PubMed Web of Science ®Google Scholar
• Chen, L., Chen, C., Srinivasan, R., McKnight, C. E., Ewing, R., & Roe, M. (2012). Evaluating the safety effects of bicycle lanes in New York City. American Journal of Public Health, 102.
   Web of Science ®Google Scholar
• Chen, P. (2015). Built environment factors in explaining the automobile-involved bicycle crash frequencies: A spatial statistic approach. Safety Science, 79, 336–343.
   Web of Science ®Google Scholar
• Chen, P., & Shen, Q. (2016). Built environment effects on cyclist injury severity in automobile-involved bicycle crashes. Accident Analysis & Prevention, 86, 239–246.
   PubMed Web of Science ®Google Scholar
• Cheng, Y.-H., & Liu, K.-C. (2012). Evaluating bicycle-transit users' perceptions of intermodal inconvenience. Transportation Research Part A: Policy and Practice, 46, 1690–1706.
   Web of Science ®Google Scholar
• Christiansen, L. B., Cerin, E., Badland, H., Kerr, J., Davey, R., Troelsen, J., van Dyck, D., Mitáš, J., Schofield, G., Sugiyama, T., Salvo, D., Sarmiento, O. L., Reis, R., Adams, M., Frank, L., & Sallis, J. F. (2016). International comparisons of the associations between objective measures of the built environment and transport-related walking and cycling: IPEN adult study. Journal of Transport & Health, 3, 467–478.
   PubMed Web of Science ®Google Scholar
• Croissant, Y. (2012). Estimation of multinomial logit models in R: The mlogit Packages. R package version 0.2–2. URL: http://cran.r-project.org/web/packages/mlogit/vignettes/mlogit.pdf.
   Google Scholar
• Dill, J. (2009). Bicycling for transportation and health: the role of infrastructure. Journal of Public Health Policy, S95–S110.
   PubMed Web of Science ®Google Scholar
• Dill, J., & Carr, T. (2003). Bicycle commuting and facilities in major U.S. cities: If you build them, commuters will use them. Transportation Research Record: Journal of the Transportation Research Board, 1828, 116–123.
   Web of Science ®Google Scholar
• Ehrgott, M., Wang, J. Y., Raith, A., & Van Houtte, C. (2012). A bi-objective cyclist route choice model. Transportation Research Part A: Policy and Practice, 46, 652–663.
   Web of Science ®Google Scholar
• Faghih-Imani, A., Eluru, N., El-Geneidy, A. M., Rabbat, M., & Haq, U. (2014). How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal. Journal of Transport Geography, 41, 306–314.
   Web of Science ®Google Scholar
• Fiebig, D. G., Keane, M. P., Louviere, J. J., & Wasi, N. (2010). The generalized multinomial logit model: Accounting for scale and coefficient heterogeneity. Marketing Science, 29, 393–421.
   Web of Science ®Google Scholar
• Forsyth, A., & Oakes, J. M. (2015). Cycling, the built environment, and health: Results of a midwestern study. International Journal of Sustainable Transportation, 9, 49–58.
   Web of Science ®Google Scholar
• Greene, W. H., & Hensher, D. A. (2003). A latent class model for discrete choice analysis: contrasts with mixed logit. Transportation Research Part B: Methodological, 37, 681–698.
   Web of Science ®Google Scholar
• Greene, W. H., & Hensher, D. A. (2010). Does scale heterogeneity across individuals matter? An empirical assessment of alternative logit models. Transportation, 37, 413–428.
   Web of Science ®Google Scholar
• Heesch, K. C., James, B., Washington, T. L., Zuniga, K., & Burke, M. (2016). Evaluation of the Veloway 1: a natural experiment of new bicycle infrastructure in Brisbane, Australia. Journal of Transport & Health, 3, 366–376.
   Web of Science ®Google Scholar
• Heesch, K. C., & Langdon, M. (2017). The usefulness of GPS bicycle tracking data for evaluating the impact of infrastructure change on cycling behaviour. Health Promotion Journal of Australia, 27, 222–229.
   Web of Science ®Google Scholar
• Hochmair, H. H. (2010). Spatial association of geotagged photos with scenic locations. na.
   Google Scholar
• Hood, J., Sall, E., & Charlton, B. (2011). A GPS-based bicycle route choice model for San Francisco, California. Transportation Letters, 3, 63–75.
   Web of Science ®Google Scholar
• Hunt, J. D., & Abraham, J. (2007). Influences on bicycle use. Transportation, 34, 453–470.
   Web of Science ®Google Scholar
• Jolliffe, I. (2002). Principal component analysis. Wiley Online Library.
   Google Scholar
• Joo, S., Oh, C., Jeong, E., & Lee, G. (2015). Categorizing bicycling environments using GPS-based public bicycle speed data. Transportation Research Part C: Emerging Technologies, 56, 239–250.
   Web of Science ®Google Scholar
• Khatri, R., Cherry, C. R., Nambisan, S. S., & Han, L. D. (2016). Modeling route choice of utilitarian bikeshare users with GPS data. Transportation Research Record: Journal of the Transportation Research Board, 141–149.
   Web of Science ®Google Scholar
• Klaiber, H. A., & Haefen, R. H. V. (2011). Do random coefficients and alternative specific constants improve policy analysis: An empirical investigation of model fit and prediction.
   Google Scholar
• Klemm, W., Lenzholzer, S., Heusinkveld, B., & van Hove, B. (2013). Towards green design guidelines for thermally comfortable streets.
   Google Scholar
• Lemp, J. D., & Kockelman, K. M. (2012). Strategic sampling for large choice sets in estimation and application. Transportation Research Part A: Policy and Practice, 46, 602–613.
   Web of Science ®Google Scholar
• Lin, D.-B., & Juang, R.-T. (2005). Mobile location estimation based on differences of signal attenuations for GSM systems. IEEE Transactions on Vehicular Technology, 54, 1447–1454.
   Web of Science ®Google Scholar
• Lowry, M., & Loh, T. H. (2017). Quantifying bicycle network connectivity. Preventive Medicine, 95(Supplement), S134–S140.
   PubMedGoogle Scholar
• Menghini, G., Carrasco, N., Schussler, N., & Axhausen, K. W. (2010). Route choice of cyclists in Zurich. Transportation Research Part A: Policy and Practice, 44, 754–765.
   Web of Science ®Google Scholar
• Mitra, R., Ziemba, R. A., & Hess, P. M. (2016). Mode substitution effect of urban cycle tracks: Case study of a Downtown Street in Toronto, Canada. International Journal of Sustainable Transportation, 00–00.
   Web of Science ®Google Scholar
• Montini, L., Prost, S., Schrammel, J., Rieser-Schüssler, N., & Axhausen, K. W. (2015). Comparison of travel diaries generated from smartphone data and dedicated GPS devices. Transportation Research Procedia, 11, 227–241.
   Google Scholar
• Parkin, J., Wardman, M., & Page, M. (2007). Models of perceived cycling risk and route acceptability. Accident Analysis & Prevention, 39, 364–371.
   PubMed Web of Science ®Google Scholar
• Prato, C. G. (2009). Route choice modeling: past, present and future research directions. Journal of Choice Modelling, 2, 65–100.
   Web of Science ®Google Scholar
• Providelo, J. K., & da Penha Sanches, S. (2011). Roadway and traffic characteristics for bicycling. Transportation, 38, 765.
   Web of Science ®Google Scholar
• Pucher, J., & Dijkstra, L. (2003). Promoting safe walking and cycling to improve public health: lessons from the Netherlands and Germany. American Journal of Public Health, 93, 1509–1516.
   PubMed Web of Science ®Google Scholar
• Pucher, J., Dill, J., & Handy, S. (2012). Infrastructure, programs, and policies to increase bicycling: An international review. Preventive Medicine, 50(Supplement), S106–S125.
   Google Scholar
• Sælensminde, K. (2004). Cost–benefit analyses of walking and cycling track networks taking into account insecurity, health effects and external costs of motorized traffic. Transportation Research Part A: Policy and Practice, 38, 593–606.
   Web of Science ®Google Scholar
• Saghapour, T., Moridpour, S., & Thompson, R. (2016). Measuring cycling accessibility in metropolitan areas. International Journal of Sustainable Transportation.
   Web of Science ®Google Scholar
• Sarrias, M., & Daziano, R. A. (2015). Multinomial logit models with continuous and discrete individual heterogeneity in R: The gmnl Package.
   Google Scholar
• Seattle Department of Transportation, S. (2013). 2013 Seattle bicycle master plan.
   Google Scholar
• Sener, I., Eluru, N., & Bhat, C. (2009). An analysis of bicycle route choice preferences in Texas, US. Transportation, 36, 511–539.
   Web of Science ®Google Scholar
• Shaheen, S., Guzman, S., & Zhang, H. (2010). Bikesharing in Europe, the Americas, and Asia: past, present, and future. Transportation Research Record: Journal of the Transportation Research Board, 159–167.
   Web of Science ®Google Scholar
• Stinson, M. A., & Bhat, C. R. (2003). Commuter bicyclist route choice: analysis using a stated preference survey. Transportation Research Record: Journal of the Transportation Research Board, 1828, 107–115.
   Google Scholar
• Ta, N., Zhao, Y., & Chai, Y. (2016). Built environment, peak hours and route choice efficiency: An investigation of commuting efficiency using GPS data. Journal of Transport Geography, 57, 161–170.
   Web of Science ®Google Scholar
• Teschke, K., Harris, M. A., Reynolds, C. C., Winters, M., Babul, S., Chipman, M., Cusimano, M. D., Brubacher, J. R., Hunte, G., & Friedman, S. M. (2012). Route infrastructure and the risk of injuries to bicyclists: A case-crossover study. American Journal of Public Health, 102, 2336–2343.
   PubMed Web of Science ®Google Scholar
• Tilahun, N. Y., Levinson, D. M., & Krizek, K. J. (2007). Trails, lanes, or traffic: Valuing bicycle facilities with an adaptive stated preference survey. Transportation Research Part A: Policy and Practice, 41, 287–301.
   Web of Science ®Google Scholar
• Train, K. (2003). Discrete choice methods with simulation. Cambridge University Press.
   Google Scholar
• Von Watzdorf, S., & Michahelles, F. (2010). Accuracy of positioning data on smartphones. Proceedings of the 3rd International Workshop on Location and the Web. ACM (p. 2).
   Google Scholar
• Wang, H., Palm, M., Chen, C., Vogt, R., & Wang, Y. (2016). Does bicycle network level of traffic stress (LTS) explain bicycle travel behavior? Mixed results from an Oregon case study. Journal of Transport Geography, 57, 8–18.
   Web of Science ®Google Scholar
• Wang, Y., Chau, C., Ng, W., & Leung, T. (2016). A review on the effects of physical built environment attributes on enhancing walking and cycling activity levels within residential neighborhoods. Cities, 50, 1–15.
   Web of Science ®Google Scholar
• Washington, S., Haworth, N., & Schramm, A. (2012). Relationships Between Self-Reported Bicycling Injuries and Perceived Risk of Cyclists in Queensland, Australia. Transportation Research Record: Journal of the Transportation Research Board, 2314, 57–65.
   Web of Science ®Google Scholar
• Weichenthal, S., Kulka, R., Dubeau, A., Martin, C., Wang, D., & Dales, R. (2011). Traffic-related air pollution and acute changes in heart rate variability and respiratory function in urban cyclists. Environmental Health Perspectives, 119, 1373–1378.
   PubMed Web of Science ®Google Scholar
• Winters, M., Davidson, G., Kao, D., & Teschke, K. (2011). Motivators and deterrents of bicycling: comparing influences on decisions to ride. Transportation, 38, 153–168.
   Web of Science ®Google Scholar
• Winters, M., Teschke, K., Grant, M., Setton, E. M., & Brauer, M. (2011). How far out of the way will we travel? Transportation Research Record: Journal of the Transportation Research Board, 2190, 1–10.
   Web of Science ®Google Scholar
• Wolf, J., Hallmark, S., Oliveira, M., Guensler, R., & Sarasua, W. (1999). Accuracy issues with route choice data collection by using global positioning system. Transportation Research Record: Journal of the Transportation Research Board, 66–74.
   Google Scholar
• Zandbergen, P. A. (2009). Accuracy of iPhone locations: A comparison of assisted GPS, WiFi and cellular positioning. Transactions in GIS, 13, 5–25.
   Web of Science ®Google Scholar
• Zimmermann, M., Mai, T., & Frejinger, E. (2017). Bike route choice modeling using GPS data without choice sets of paths. Transportation Research Part C: Emerging Technologies, 75, 183–196.
   Web of Science ®Google Scholar