References
- ABS. (2016a). Australian Bureau of Statistics, 2016 Census of population and housing: TableBuilder. https://www.abs.gov.au/websitedbs/censushome.nsf/home/tablebuilder
- ABS. (2016b). Australian Statistical Geography Standard (ASGS): Volume 3—Non ABS structures. Retrieved July, 2016, from https://www.abs.gov.au/ausstats/[email protected]/Lookup/by%20Subject/1270.0.55.003∼July%202016∼Main%20Features∼Local%20Government%20Areas%20(LGA)∼7
- ABS. (2016c). Queensland Mesh Blocks ASGS Ed 2016 digital boundaries in ESRI shapefile format. https://www.abs.gov.au/AUSSTATS/[email protected]/DetailsPage/1270.0.55.001July%202016?OpenDocument
- ABS. (2016d). Statistical Area Level 2 (SA2) ASGS Ed 2016 digital boundaries in ESRI shapefile format. https://www.abs.gov.au/AUSSTATS/[email protected]/DetailsPage/1270.0.55.001July%202016?OpenDocument
- ABS. (2016e). Australian and New Zealand Standard Classification of Occupations (ANZSCO). https://www.abs.gov.au/ausstats/[email protected]/Lookup/2901.0Chapter22102016
- ABS. (2019). Australian Statistical Geography Standard (ASGS). https://www.abs.gov.au/websitedbs/D3310114.nsf/home/Australian+Statistical+Geography+Standard+(ASGS)#:∼:text=Statistical%20Areas%20Level%202%20(SA2s,interacts%20together%20socially%20and%20economically.&text=The%20SA2%20is%20the%20smallest,Vitals%20and%20Building%20Approvals%20data
- 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(1), 165–172. https://doi.org/https://doi.org/10.3141/2140-18
- An, R., Zahnow, R., Pojani, D., & Corcoran, J. (2019). Weather and cycling in New York: The case of Citibike. Journal of Transport Geography, 77, 97–112. https://doi.org/10.1016/j.jtrangeo.2019.04.016
- Bautista-Hernández, D. A. (2021). Mode choice in commuting and the built environment in México City. Is there a chance for non-motorized travel? Journal of Transport Geography, 92, 103024. https://doi.org/https://doi.org/10.1016/j.jtrangeo.2021.103024
- Bergström, A., & Magnusson, R. (2003). Potential of transferring car trips to bicycle during winter. Transportation Research Part A: Policy and Practice, 37(8), 649–666. https://doi.org/https://doi.org/10.1016/S0965-8564(03)00012-0
- Bivand, R. (2013). Geographically weighted regression. Available at: https://cran.r-project.org/web/packages/spgwr/vignettes/GWR.pdf (Accessed 15 July 2020)
- Boumans, A., & Harms, L. (2005). Part-time employment and travel patterns of women in the Netherlands. Research on Women’s Issues in Transportation, 2, 113.
- Brisbane City Council. (2020). Community planning teams. https://www.brisbane.qld.gov.au/planning-and-building/planning-guidelines-and-tools/neighbourhood-planning-and-urban-renewal/have-your-say-on-neighbourhood-plans/community-planning-teams
- Brunsdon, C., Fotheringham, A. S., & Charlton, M. E. (2010). Geographically weighted regression: A method for exploring spatial nonstationarity. Geographical Analysis, 28(4), 281–298. https://doi.org/https://doi.org/10.1111/j.1538-4632.1996.tb00936.x
- Buehler, R. (2012). Determinants of bicycle commuting in the Washington, DC region: The role of bicycle parking, cyclist showers, and free car parking at work. Transportation Research Part D: Transport and Environment, 17(7), 525–531. https://doi.org/https://doi.org/10.1016/j.trd.2012.06.003
- Castro, J. T., & Josef, J. F. C. (2020). Provision of bicycle facilities to increase bicycle commuting at central business districts in metro Manila, Philippines. In H. Bougdah, A. Versaci, A. Sotoca, F. Trapani, M. Migliore, & N. Clark (Eds.), Urban and transit planning: A culmination of selected research papers from IEREK conferences on urban planning, architecture and green urbanism, Italy and Netherlands (2017) (pp. 313–328). Springer International Publishing.
- Cervero, R., Denman, S., & Jin, Y. (2019). Network design, built and natural environments, and bicycle commuting: Evidence from British cities and towns. Transport Policy, 74, 153–164. https://doi.org/https://doi.org/10.1016/j.tranpol.2018.09.007
- Cervero, R., & Duncan, M. (2003). Walking, bicycling, and urban landscapes: Evidence from the San Francisco Bay Area. American Journal of Public Health, 93(9), 1478–1483. https://doi.org/https://doi.org/10.2105/AJPH.93.9.1478
- Chen, X., & Kwan, M.-P. (2015). Contextual uncertainties, human mobility, and perceived food environment: The uncertain geographic context problem in food access research. American Journal of Public Health, 105(9), 1734–1737.
- Christian, H. E., Bull, F. C., Middleton, N. J., Knuiman, M. W., Divitini, M. L., Hooper, P., Amarasinghe, A., & Giles-Corti, B. (2011). How important is the land use mix measure in understanding walking behaviour? Results from the RESIDE study. The International Journal of Behavioral Nutrition and Physical Activity, 8(1), 55. https://doi.org/https://doi.org/10.1186/1479-5868-8-55
- Cole-Hunter, T., Donaire-Gonzalez, D., Curto, A., Ambros, A., Valentin, A., Garcia-Aymerich, J., Martínez, D., Braun, L. M., Mendez, M., Jerrett, M., Rodriguez, D., de Nazelle, A., & Nieuwenhuijsen, M. (2015). Objective correlates and determinants of bicycle commuting propensity in an urban environment. Transportation Research Part D: Transport and Environment, 40, 132–143. https://doi.org/https://doi.org/10.1016/j.trd.2015.07.004
- Curtis, C., & Scheurer, J. (2010). Planning for sustainable accessibility: Developing tools to aid discussion and decision-making. Progress in Planning, 74(2), 53–106. https://doi.org/https://doi.org/10.1016/j.progress.2010.05.001
- Daley, M., Rissel, C., & Lloyd, B. (2007). All dressed up and nowhere to go?: A qualitative research study of the barriers and enablers to cycling in Inner Sydney. Road & Transport Research, 16(4), 42.
- de Souza, A. A., Sanches, S. P., & Ferreira, M. A. G. (2014). Influence of attitudes with respect to cycling on the perception of existing barriers for using this mode of transport for commuting. Procedia – Social and Behavioral Sciences, 162, 111–120. https://doi.org/https://doi.org/10.1016/j.sbspro.2014.12.191
- Dickinson, J. E., Kingham, S., Copsey, S., & Hougie, D. J. P. (2003). Employer travel plans, cycling and gender: Will travel plan measures improve the outlook for cycling to work in the UK? Transportation Research Part D: Transport and Environment, 8(1), 53–67. https://doi.org/https://doi.org/10.1016/S1361-9209(02)00018-4
- Dill, J., & Carr, T. (2003). Bicycle commuting and facilities in major US cities: If you build them, commuters will use them. Transportation Research Record: Journal of the Transportation Research Board, 1828(1), 116–123. https://doi.org/https://doi.org/10.3141/1828-14
- Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. Springer.
- Ellison, R. B., & Greaves, S. (2011). Travel time competitiveness of cycling in Sydney, Australia. Transportation Research Record: Journal of the Transportation Research Board, 2247(1), 99–108. https://doi.org/https://doi.org/10.3141/2247-12
- Ewing, R., & Cervero, R. (2010). Travel and the built environment: A meta-analysis. Journal of the American Planning Association, 76(3), 265–294. https://doi.org/https://doi.org/10.1080/01944361003766766
- Faghih-Imani, A., Anowar, S., Miller, E. J., & Eluru, N. (2017). Hail a cab or ride a bike? A travel time comparison of taxi and bicycle-sharing systems in New York City. Transportation Research Part A: Policy and Practice, 101, 11–21. https://doi.org/https://doi.org/10.1016/j.tra.2017.05.006
- Farber, S., & Páez, A. (2007). A systematic investigation of cross-validation in GWR model estimation: Empirical analysis and Monte Carlo simulations. Journal of Geographical Systems, 9(4), 371–396. https://doi.org/https://doi.org/10.1007/s10109-007-0051-3
- Festinger, L. (1957). A theory of cognitive dissonance (Vol. 2). Stanford University Press.
- Feuillet, T., Charreire, H., Menai, M., Salze, P., Simon, C., Dugas, J., Hercberg, S., Andreeva, V. A., Enaux, C., Weber, C., & Oppert, J.-M. (2015). Spatial heterogeneity of the relationships between environmental characteristics and active commuting: Towards a locally varying social ecological model. International Journal of Health Geographics, 14(1), 12–14. https://doi.org/https://doi.org/10.1186/s12942-015-0002-z
- Flynn, B. S., Dana, G. S., Sears, J., & Aultman-Hall, L. (2012). Weather factor impacts on commuting to work by bicycle. Preventive Medicine, 54(2), 122–124. https://doi.org/https://doi.org/10.1016/j.ypmed.2011.11.002
- Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2003). Geographically weighted regression: The analysis of spatially varying relationships. John Wiley & Sons.
- Fowler, S. L., Berrigan, D., & Pollack, K. M. (2017). Perceived barriers to bicycling in an urban US environment. Journal of Transport & Health, 6, 474–480. https://doi.org/https://doi.org/10.1016/j.jth.2017.04.003
- Frank, L. D., Saelens, B. E., Powell, K. E., & Chapman, J. E. (2007). Stepping towards causation: Do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity? Social Science & Medicine, 65, 1898–1914. https://doi.org/https://doi.org/10.1016/j.socscimed.2007.05.053
- Fraser, S. D., & Lock, K. (2011). Cycling for transport and public health: A systematic review of the effect of the environment on cycling. European Journal of Public Health, 21(6), 738–743.
- Garrard, J., Crawford, S., & Hakman, N. (2006). Revolutions for women: Increasing women's participation in cycling for recreation and transport: Summary of key findings. School of Health and Social Development, Deakin University.
- Garrard, J., Handy, S., & Dill, J. (2012). Women and cycling. City Cycling, 2012, 211–234.
- Gatersleben, B., & Appleton, K. M. (2007). Contemplating cycling to work: Attitudes and perceptions in different stages of change. Transportation Research Part A: Policy and Practice, 41(4), 302–312. https://doi.org/https://doi.org/10.1016/j.tra.2006.09.002
- Godefroy, F., & Morency, C. (2012). Estimating latent cycling trips in Montreal, Canada. Transportation Research Record: Journal of the Transportation Research Board, 2314(1), 120–128. https://doi.org/https://doi.org/10.3141/2314-16
- Götschi, T., Castro, A., Deforth, M., Miranda-Moreno, L., & Zangenehpour, S. (2018). Towards a comprehensive safety evaluation of cycling infrastructure including objective and subjective measures. Journal of Transport & Health, 8, 44–54. https://doi.org/https://doi.org/10.1016/j.jth.2017.12.003
- Handy, S. L., & Xing, Y. (2011). Factors correlated with bicycle commuting: A study in six small US cities. International Journal of Sustainable Transportation, 5(2), 91–110. https://doi.org/https://doi.org/10.1080/15568310903514789
- Heesch, K. C., Giles-Corti, B., & Turrell, G. (2014). Cycling for transport and recreation: Associations with socio-economic position, environmental perceptions, and psychological disposition. Preventive Medicine, 63, 29–35. https://doi.org/https://doi.org/10.1016/j.ypmed.2014.03.003
- Heesch, K. C., Giles-Corti, B., & Turrell, G. (2015). Cycling for transport and recreation: Associations with the socio-economic, natural and built environment. Health & Place, 36, 152–161. https://doi.org/https://doi.org/10.1016/j.healthplace.2015.10.004
- Heesch, K. C., Sahlqvist, S., & Garrard, J. (2012). Gender differences in recreational and transport cycling: A cross-sectional mixed-methods comparison of cycling patterns, motivators, and constraints. International Journal of Behavioral Nutrition and Physical Activity, 9(1), 106. https://doi.org/https://doi.org/10.1186/1479-5868-9-106
- Heinen, E., & Buehler, R. (2019). Bicycle parking: A systematic review of scientific literature on parking behaviour, parking preferences, and their influence on cycling and travel behaviour. Transport Reviews, 39(5), 630–656. https://doi.org/https://doi.org/10.1080/01441647.2019.1590477
- Heinen, E., Maat, K., & Wee, B. v. (2011). The role of attitudes toward characteristics of bicycle commuting on the choice to cycle to work over various distances. Transportation Research Part D: Transport and Environment, 16(2), 102–109. https://doi.org/https://doi.org/10.1016/j.trd.2010.08.010
- Heinen, E., Van Wee, B., & Maat, K. (2010). Commuting by bicycle: An overview of the literature. Transport Reviews, 30(1), 59–96. https://doi.org/https://doi.org/10.1080/01441640903187001
- Heinzl, H., & Mittlböck, M. (2003). Pseudo R-squared measures for Poisson regression models with over-or underdispersion. Computational Statistics & Data Analysis, 44(1-2), 253–271. https://doi.org/https://doi.org/10.1016/S0167-9473(03)00062-8
- Helbich, M., Böcker, L., & Dijst, M. (2014). Geographic heterogeneity in cycling under various weather conditions: Evidence from Greater Rotterdam. Journal of Transport Geography, 38, 38–47. https://doi.org/https://doi.org/10.1016/j.jtrangeo.2014.05.009
- Hochmair, H. H. (2015). Assessment of bicycle service areas around transit stations. International Journal of Sustainable Transportation, 9(1), 15–29. https://doi.org/https://doi.org/10.1080/15568318.2012.719998
- Infrastructure Australia. (2019). Urban transport crowding and congestion—The Australian infrastructure audit 2019. https://www.infrastructureaustralia.gov.au/sites/default/files/2019-08/Urban%20Transport%20Crowding%20and%20Congestion.pdf
- Keijer, M., & Rietveld, P. (2000). How do people get to the railway station? The Dutch experience. Transportation Planning and Technology, 23(3), 215–235. https://doi.org/https://doi.org/10.1080/03081060008717650
- Knott, C. S., Sharp, S. J., Mytton, O. T., Ogilvie, D., & Panter, J. (2019). Changes in workplace car parking and commute mode: A natural experimental study. Journal of Epidemiology and Community Health, 73(1), 42–49.
- Kwan, M.-P. (2018). The limits of the neighborhood effect: Contextual uncertainties in geographic, environmental health, and social science research. Annals of the American Association of Geographers, 108(6), 1482–1489. https://doi.org/https://doi.org/10.1080/24694452.2018.1453777
- Larsen, J., Patterson, Z., & El-Geneidy, A. (2013). Build it. But where? The use of geographic information systems in identifying locations for new cycling infrastructure. International Journal of Sustainable Transportation, 7(4), 299–317. https://doi.org/https://doi.org/10.1080/15568318.2011.631098
- Lee, J., He, S. Y., & Sohn, D. W. (2017). Potential of converting short car trips to active trips: The role of the built environment in tour-based travel. Journal of Transport & Health, 7, 134–148. https://doi.org/https://doi.org/10.1016/j.jth.2017.08.008
- Levinson, D. M. (2019). The 30-minute city: Designing for access. Network Design Lab.
- Lindsay, G., Macmillan, A., & Woodward, A. (2011). Moving urban trips from cars to bicycles: Impact on health and emissions. Australian and New Zealand Journal of Public Health, 35(1), 54–60. https://doi.org/https://doi.org/10.1111/j.1753-6405.2010.00621.x
- Liu, C., Susilo, Y. O., & Karlström, A. (2015). Investigating the impacts of weather variability on individual’s daily activity–travel patterns: A comparison between commuters and non-commuters in Sweden. Transportation Research Part A: Policy and Practice, 82, 47–64. https://doi.org/https://doi.org/10.1016/j.tra.2015.09.005
- Lovelace, R., Goodman, A., Aldred, R., Berkoff, N., Abbas, A., & Woodcock, J. (2017). The propensity to cycle tool: An open source online system for sustainable transport planning. Journal of Transport and Land Use, 10(1), 505–528. https://doi.org/https://doi.org/10.5198/jtlu.2016.862
- Ma, X., Zhang, J., Ding, C., & Wang, Y. (2018). A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership. Computers, Environment and Urban Systems, 70, 113–124. https://doi.org/https://doi.org/10.1016/j.compenvurbsys.2018.03.001
- Mackett, R. L. (2003). Why do people use their cars for short trips? Transportation, 30(3), 329–349. https://doi.org/https://doi.org/10.1023/A:1023987812020
- Mason, R. L., Gunst, R. F., & Hess, J. L. (2003). Statistical design and analysis of experiments: With applications to engineering and science (Vol. 474). John Wiley & Sons.
- Mateo-Babiano, I., Bean, R., Corcoran, J., & Pojani, D. (2016). How does our natural and built environment affect the use of bicycle sharing? Transportation Research Part A: Policy and Practice, 94, 295–307. https://doi.org/https://doi.org/10.1016/j.tra.2016.09.015
- McCosker, R. (2018). How to solve Brisbane's congestion problem. https://www.brisbanetimes.com.au/national/queensland/how-to-solve-brisbane-s-congestion-problem-20180626-p4znrj.html
- Melia, S. (2008). Neighbourhoods should be made permeable for walking and cycling-but not for cars. Local Transport Today, 486.
- Midgley, P. (2011). Bicycle-sharing schemes: Enhancing sustainable mobility in urban areas. United Nations, Department of Economic and Social Affairs, 8, 1–12.
- Mitra, R., Lea, N. S., Cantello, I., & Hanson, G. (2016). Cycling behaviour and potential in the Greater Toronto and Hamilton Area. https://www.researchgate.net/profile/Raktim_Mitra/publication/309592506_Cycling_Behaviour_and_Potential_in_the_Greater_Toronto_and_Hamilton_Area/links/581901af08aee7cdc685e3a1/Cycling-Behaviour-and-Potential-in-the-Greater-Toronto-and-Hamilton-Area.pdf
- Moran, P. A. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1–2), 17–23. https://doi.org/https://doi.org/10.1093/biomet/37.1-2.17
- Moudon, A. V., Lee, C., Cheadle, A. D., Collier, C. W., Johnson, D., Schmid, T. L., & Weather, R. D. (2005). Cycling and the built environment, a US perspective. Transportation Research Part D: Transport and Environment, 10(3), 245–261. https://doi.org/https://doi.org/10.1016/j.trd.2005.04.001
- Munira, S., & Sener, I. N. (2020). A geographically weighted regression model to examine the spatial variation of the socioeconomic and land-use factors associated with Strava bike activity in Austin, Texas. Journal of Transport Geography, 88, 102865. https://doi.org/https://doi.org/10.1016/j.jtrangeo.2020.102865
- Muñoz, B., Monzon, A., & López, E. (2016). Transition to a cyclable city: Latent variables affecting bicycle commuting. Transportation Research Part A: Policy and Practice, 84, 4–17. https://doi.org/https://doi.org/10.1016/j.tra.2015.10.006
- Nielsen, T. A. S., Olafsson, A. S., Carstensen, T. A., & Skov-Petersen, H. (2013). Environmental correlates of cycling: Evaluating urban form and location effects based on Danish micro-data. Transportation Research Part D: Transport and Environment, 22, 40–44. https://doi.org/https://doi.org/10.1016/j.trd.2013.02.017
- Nkurunziza, A., Zuidgeest, M., Brussel, M., & Van Maarseveen, M. (2012). Examining the potential for modal change: Motivators and barriers for bicycle commuting in Dar-es-Salaam. Transport Policy, 24, 249–259. https://doi.org/https://doi.org/10.1016/j.tranpol.2012.09.002
- Oxford English Dictionary. (1992). Quick search: dissonance,n. https://www.oed.com/view/Entry/55540?redirectedFrom=dissonance#eid
- Páez, A., Farber, S., & Wheeler, D. (2011). A simulation-based study of geographically weighted regression as a method for investigating spatially varying relationships. Environment and Planning A: Economy and Space, 43(12), 2992–3010. https://doi.org/https://doi.org/10.1068/a44111
- Páez, A., & Scott, D. M. (2004). Spatial statistics for urban analysis: A review of techniques with examples. GeoJournal, 61(1), 53–67. https://doi.org/https://doi.org/10.1007/s10708-005-0877-5
- Papke, L. E., & Wooldridge, J. M. (1996). Econometric methods for fractional response variables with an application to 401 (k) plan participation rates. Journal of Applied Econometrics, 11(6), 619–632. https://doi.org/https://doi.org/10.1002/(SICI)1099-1255(199611)11:6<619::AID-JAE418>3.0.CO;2-1
- Parkin, J., Wardman, M., & Page, M. (2007). Estimation of the determinants of bicycle mode share for the journey to work using census data. Transportation, 35(1), 93–109. https://doi.org/https://doi.org/10.1007/s11116-007-9137-5
- Piatkowski, D. P., & Marshall, W. E. (2015). Not all prospective bicyclists are created equal: The role of attitudes, socio-demographics, and the built environment in bicycle commuting. Travel Behaviour and Society, 2(3), 166–173. https://doi.org/https://doi.org/10.1016/j.tbs.2015.02.001
- Plaut, P. O. (2005). Non-motorized commuting in the US. Transportation Research Part D: Transport and Environment, 10(5), 347–356. https://doi.org/https://doi.org/10.1016/j.trd.2005.04.002
- Pojani, D., Bakija, D., Shkreli, E., Corcoran, J., & Mateo-Babiano, I. (2017). Do Northwestern and Southeastern Europe share a common “cycling mindset”? Comparative analysis of beliefs toward cycling in the Netherlands and the Balkans. European Journal of Transport and Infrastructure Research, 17(1), 25–45.
- Pojani, D., Butterworth, E., Cooper, J., Corcoran, J., & Sipe, N. (2018). Australian cities are far from being meccas for walking and cycling. https://theconversation.com/australian-cities-are-far-from-being-meccas-for-walking-and-cycling-87331
- Prato, C. G., Halldórsdóttir, K., & Nielsen, O. A. (2017). Latent lifestyle and mode choice decisions when travelling short distances. Transportation, 44(6), 1343–1363. https://doi.org/https://doi.org/10.1007/s11116-016-9703-9
- Prochaska, J. O., & DiClemente, C. C. (1994). The transtheoretical approach: Crossing traditional boundaries of therapy. Krieger Publishing Company.
- 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(9), 1509–1516.
- Qin, X., & Ivan, J. N. (2001). Estimating pedestrian exposure prediction model in rural areas. Transportation Research Record: Journal of the Transportation Research Board, 1773(1), 89–96. https://doi.org/https://doi.org/10.3141/1773-11
- Queensland Spatial Catalogue. (2013). Digital elevation models 25metre by catchment areas series. http://qldspatial.information.qld.gov.au/catalogue/custom/detail.page?fid={133239BA-584B-45FE-9CCA-33C5C66BAF66}
- Queensland Spatial Catalogue. (2019a). Principal cycle network—Queensland. http://qldspatial.information.qld.gov.au/catalogue/custom/detail.page?fid={4536275B-B9DB-43B5-B16D-C9A6E923CC7E}
- Queensland Spatial Catalogue. (2019b). Baseline roads and tracks—Queensland. http://qldspatial.information.qld.gov.au/catalogue/custom/detail.page?fid={BEF06A7B-0F0B-4DE0-B7A6-D4B4C2651993}
- Rashad, I. (2009). Associations of cycling with urban sprawl and the gasoline price. American Journal of Health Promotion, 24(1), 27–36. https://doi.org/https://doi.org/10.4278/ajhp.071121124
- Rossetti, T., Guevara, C. A., Galilea, P., & Hurtubia, R. (2018). Modeling safety as a perceptual latent variable to assess cycling infrastructure. Transportation Research Part A: Policy and Practice, 111, 252–265. https://doi.org/https://doi.org/10.1016/j.tra.2018.03.019
- Rybarczyk, G., & Gallagher, L. (2014). Measuring the potential for bicycling and walking at a metropolitan commuter university. Journal of Transport Geography, 39, 1–10. https://doi.org/https://doi.org/10.1016/j.jtrangeo.2014.06.009
- Sahlqvist, S. L., & Heesch, K. C. (2012). Characteristics of utility cyclists in Queensland, Australia: An examination of the associations between individual, social, and environmental factors and utility cycling. Journal of Physical Activity and Health, 9(6), 818–828. https://doi.org/https://doi.org/10.1123/jpah.9.6.818
- Sallis, J. F., Conway, T. L., Dillon, L. I., Frank, L. D., Adams, M. A., Cain, K. L., & Saelens, B. E. (2013). Environmental and demographic correlates of bicycling. Preventive Medicine, 57(5), 456–460. https://doi.org/https://doi.org/10.1016/j.ypmed.2013.06.014
- Sallis, J. F., Frank, L. D., Saelens, B. E., & Kraft, M. K. (2004). Active transportation and physical activity: Opportunities for collaboration on transportation and public health research. Transportation Research Part A: Policy and Practice, 38(4), 249–268. https://doi.org/https://doi.org/10.1016/j.tra.2003.11.003
- Savaria, M., Apparicio, P., & Carrier, M. (2021). Assessing filtered permeability around the globe: The unknown beloved principle of cycling cities. Transportation Research Part D: Transport and Environment, 97, 102964. https://doi.org/https://doi.org/10.1016/j.trd.2021.102964
- Schepers, P., Heinen, E., Methorst, R., & Wegman, F. (2013). Road safety and bicycle usage impacts of unbundling vehicular and cycle traffic in Dutch urban networks. European Journal of Transport and Infrastructure Research, 13(3), 221–238.
- Schoner, J. E., Cao, J., & Levinson, D. M. (2015). Catalysts and magnets: Built environment and bicycle commuting. Journal of Transport Geography, 47, 100–108. https://doi.org/https://doi.org/10.1016/j.jtrangeo.2015.07.007
- Sener, I. N., Eluru, N., & Bhat, C. R. (2009). An analysis of bicycle route choice preferences in Texas, US. Transportation, 36(5), 511–539. https://doi.org/https://doi.org/10.1007/s11116-009-9201-4
- Sigurdardottir, S. B., Kaplan, S., Møller, M., & Teasdale, T. W. (2013). Understanding adolescents’ intentions to commute by car or bicycle as adults. Transportation Research Part D: Transport and Environment, 24, 1–9. https://doi.org/https://doi.org/10.1016/j.trd.2013.04.008
- Thigpen, C. G., Driller, B. K., & Handy, S. L. (2015). Using a stages of change approach to explore opportunities for increasing bicycle commuting. Transportation Research Part D: Transport and Environment, 39, 44–55. https://doi.org/https://doi.org/10.1016/j.trd.2015.05.005
- Transport for London. (2010). Analysis of cycling potential: Policy analysis research report. http://content.tfl.gov.uk/analysis-of-cycling-potential.pdf
- Unwin, N. C. (1995). Promoting the public health benefits of cycling. Public Health, 109(1), 41–46. https://doi.org/https://doi.org/10.1016/S0033-3506(95)80074-3
- van Wee, B., Rietveld, P., & Meurs, H. (2006). Is average daily travel time expenditure constant? In search of explanations for an increase in average travel time. Journal of Transport Geography, 14(2), 109–122. https://doi.org/https://doi.org/10.1016/j.jtrangeo.2005.06.003
- Vandenbulcke, G., Dujardin, C., Thomas, I., de Geus, B., Degraeuwe, B., Meeusen, R., & Panis, L. I. (2011). Cycle commuting in Belgium: Spatial determinants and ‘re-cycling’strategies. Transportation Research Part A: Policy and Practice, 45(2), 118–137.
- Wardman, M., Tight, M., & Page, M. (2007). Factors influencing the propensity to cycle to work. Transportation Research Part A: Policy and Practice, 41(4), 339–350. https://doi.org/https://doi.org/10.1016/j.tra.2006.09.011
- Wedel, M., Desarbo, W. S., Bult, J. R., & Ramaswamy, V. (1993). A latent class poisson regression model for heterogeneous count data. Journal of Applied Econometrics, 8(4), 397–411. https://doi.org/https://doi.org/10.1002/jae.3950080407
- Wheeler, D. C., & Páez, A. (2010). Geographically weighted regression. In M. M. Fischer, & A. Getis (Eds.), Handbook of applied spatial analysis (pp. 461–486). Springer.
- Wheeler, D., & Tiefelsdorf, M. (2005). Multicollinearity and correlation among local regression coefficients in geographically weighted regression. Journal of Geographical Systems, 7(2), 161–187. https://doi.org/https://doi.org/10.1007/s10109-005-0155-6
- Winters, M., Brauer, M., Setton, E. M., & Teschke, K. (2010). Built environment influences on healthy transportation choices: Bicycling versus driving. Journal of Urban Health, 87(6), 969–993. https://doi.org/https://doi.org/10.1007/s11524-010-9509-6
- World Bank. (2018a). World Bank blog—Bikes. https://blogs.worldbank.org/category/tags/bikes
- World Bank. (2018b). World Bank blog—Cycling. https://blogs.worldbank.org/category/tags/cycling
- Yang, H., Lu, X., Cherry, C., Liu, X., & Li, Y. (2017). Spatial variations in active mode trip volume at intersections: A local analysis utilizing geographically weighted regression. Journal of Transport Geography, 64, 184–194. https://doi.org/https://doi.org/10.1016/j.jtrangeo.2017.09.007
- Yang, Y., Wu, X., Zhou, P., Gou, Z., & Lu, Y. (2019). Towards a cycling-friendly city: An updated review of the associations between built environment and cycling behaviors (2007–2017). Journal of Transport & Health, 14, 100613. https://doi.org/https://doi.org/10.1016/j.jth.2019.100613
- Yang, H., Zhang, Y., Zhong, L., Zhang, X., & Ling, Z. (2020). Exploring spatial variation of bike sharing trip production and attraction: A study based on Chicago’s Divvy system. Applied Geography, 115, 102130. https://doi.org/https://doi.org/10.1016/j.apgeog.2019.102130
- Young, M., Savan, B., Manaugh, K., & Scott, J. (2021). Mapping the demand and potential for cycling in Toronto. International Journal of Sustainable Transportation, 15(4), 285–293.
- Zahabi, S. A. H., Chang, A., Miranda-Moreno, L. F., & Patterson, Z. (2016). Exploring the link between the neighborhood typologies, bicycle infrastructure and commuting cycling over time and the potential impact on commuter GHG emissions. Transportation Research Part D: Transport and Environment, 47, 89–103. https://doi.org/https://doi.org/10.1016/j.trd.2016.05.008
- Zhang, D., Magalhães, D. J. A. V., & Wang, X. (2014). Prioritizing bicycle paths in Belo Horizonte City, Brazil: Analysis based on user preferences and willingness considering individual heterogeneity. Transportation Research Part A: Policy and Practice, 67, 268–278. https://doi.org/https://doi.org/10.1016/j.tra.2014.07.010
- Zhao, P. (2014). The impact of the built environment on bicycle commuting: Evidence from Beijing. Urban Studies, 51(5), 1019–1037. https://doi.org/https://doi.org/10.1177/0042098013494423