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2020-11-23
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Copyright (c) 2020 Chris De Gruyter, Tayebeh Saghapour, Liang Ma, Jago Dodson
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How does the built environment affect transit use by train, tram and bus?
Chris De Gruyter
RMIT University
Tayebeh Saghapour
RMIT University
Liang Ma
RMIT University
Jago Dodson
RMIT University
DOI: https://doi.org/10.5198/jtlu.2020.1739
Abstract
While much research has explored the influence of the built environment on public transport use, little focus has been given to how this influence varies by public transport mode. Using a case study of Melbourne, this study assesses the influence of the built environment and other characteristics (transit service quality, demand management and socio-demographics) on commuting by train, tram and bus. Key findings indicate that the built environment has a significant influence, but with notable differences between individual public transport modes. Commuting by tram was found to have the strongest association with the explanatory variables, while bus had the weakest explanatory power. Differences in the geographical coverage of public transport services in Melbourne play a key role in explaining the influence of the built environment. Population density is positively associated with tram use, which operates in older, higher density environments, but is negatively associated with train and bus use. Furthermore, the association with land-use mix is only significant for train and tram use, as buses tend to operate in areas with greater land-use homogeneity. When focused on inner Melbourne only, the influence of the built environment is diluted, while distance to public transport becomes more significant. The findings have important implications for practice, not only in terms of improving transit demand forecasting but also in targeting changes to the built environment to leverage higher transit ridership by mode.
References
ABS. (2016). Census of population and housing data. Retrieved from http://www.abs.gov.au/census
ABS. (2018). 3222.0–Population projections, Australia, 2017 (base)–2066. Retrieved from http://www.abs.gov.au/census
ABS. (2019). 3218.0–Regional population growth, Australia, 2017–18. Retrieved from http://www.abs.gov.au/census
Akbari, S., Mahmoud, M. S., Shalaby, A., & Nurul Habib, K. M. (2018). Empirical models of transit demand with walk access/egress for planning transit oriented developments around commuter rail stations in the Greater Toronto and Hamilton Area. Journal of Transport Geography, 68, 1–8.
Allison, P. D. (1999). Logistic regression using the SAS system: Theory and application. Cary, NC: SAS Publishing.
Arrington, G., & Cervero, R. (2008). Effects of TOD on housing, parking and travel (TCRP Report 128). Retrieved from http://ctod.org/pdfs/2007TCRP128.pdf
Aston, L., Currie, G., & Pavkova, K. (2016). Does transit mode influence the transit-orientation of urban development?—An empirical study. Journal of Transport Geography, 55, 83–91.
Australian Transport Council. (2006). National guidelines for transport system management in Australia, Volume 4: Urban transport. Retrieved from https://www.atap.gov.au/sites/default/files/National_Guidelines_Volume_4.pdf
Badland, H., Rachele, J. N., Roberts, R., & Giles-Corti, B. (2017). Creating and applying public transport indicators to test pathways of behaviors and health through an urban transport framework. Journal of Transport & Health, 4, 208–215.
Bakhru, A., Watten, M., & Kilim, G. R. (2017). DDOT MXD + Phase 4 update: Model development report–2017 update (DDOT-RDT-17-01).
Boulange, C., Gunn, L., Giles-Corti, B., Mavoa, S., Petit, C., & Badland, H. (2017). Examining associations between urban design attributes and transport mode choice for walking, cycling, public transport and private motor vehicle trips. Journal of Transport & Health, 6, 155–166.
Broadstock, D. C. (2009). An econometric study of the relationship between land use and vehicle trip generations (TRICS Research Report 09/1). Retrieved from http://www.trics.org/research_lib.aspx
Broadstock, D. C., Collins, A., & Hunt, L. C. (2010). Modelling car trip generations for UK residential developments using data from TRICS. Transportation Planning and Technology, 33(8), 671–678.
Cervero, R. (1994). Transit-based housing in California: Evidence on ridership impacts. Transport Policy, 1(3), 174–183.
Cervero, R. (2007). Transit-oriented development's ridership bonus: A product of self-selection and public policies. Environment and Planning A, 39, 2068–2085.
Cervero, R., & Arrington, G. B. (2008). Vehicle trip reduction impacts of transit-oriented housing. Journal of Public Transportation, 11(3), 1–17.
Cervero, R., Ferrell, C., & Murphy, S. (2002). Transit-oriented development and joint development in the United States: A literature review. Transportation Research Digest, 52, 1–144.
Cervero, R., & Kockelman, K. (1997). Travel demand and the 3Ds: Density, diversity, and design. Transportation Research Part D, 2(3), 199–219.
Cervero, R., & Murakami, J. (2010). Effects of built environments on vehicle miles traveled: Evidence from 370 US urbanized areas. Environment and Planning A, 42, 400–418.
Cervero, R., Murphy, S., Ferrell, C., Tsai, Y.-H., Goguts, N., Amado, C., . . . Witenstein, N. (2004). Transit-oriented development in the United States: Experiences, challenges, and prospects (TCRP Report 102). Retrieved from http://www.trb.org/Publications/Blurbs/154989.aspx
Chow, L.-F., Zhao, F., Liu, Z., Li, M.-T., & Ubaka, I. (2006). Transit ridership model based on geographically weighted regression. Transportation Research Record: Journal of the Transportation Research Board, 1972, 105–114.
Clifton, K. J., Currans, K. M., Cutter, A. C., & Schneider, R. (2012). Household travel survey in context-based approach for adjusting ITE trip generation rates in urban contexts. Transportation Research Record: Journal of the Transportation Research Board, 2307, 108–119.
Clifton, K. J., Currans, K. M., & Muhs, C. D. (2015). Adjusting ITE's trip generation handbook for urban context. Journal of Transport and Land Use, 8(1), 5–29.
Crane, R. (2000). The influence of urban form on travel: An interpretive review. Journal of Planning Literature, 15(1), 3–23.
Cullinane, S. (2002). The relationship between car ownership and public transport provision: A case study of Hong Kong. Transport Policy, 9(1), 29–39.
Currans, K. M., & Clifton, K. J. (2015). Using household travel surveys to adjust ITE trip generation rates. Journal of Transport and Land Use, 8(1), 85–119.
Currie, G. (2010). Quantifying spatial gaps in public transport supply based on social needs. Journal of Transport Geography, 18(1), 31–41.
De Gruyter, C., Currie, G., & Rose, G. (2016). Sustainability measures of public transport in cities: A world review and focus on the Asia/Middle East region. Sustainability, 9(43), 1–21.
Department of Transport. (2019a). Principal public transport network. Retrieved from https://transport.vic.gov.au/about/planning/principal-public-transport-network
Department of Transport. (2019b). Victorian integrated survey of travel and activity. Retrieved from https://transport.vic.gov.au/about/data-and-research/vista
Dill, J., Schlossberg, M., Ma, L., & Meyer, C. (2013). Predicting transit ridership at the stop level: The role of service and urban form. Paper presented at the 92nd Transportation Research Board (TRB) Annual Meeting, Washington, DC.
Evans, J. E., Pratt, R. H., Stryker, A., & Kuzmyak, J. R. (2007). Traveler response to transportation system changes: Chapter 17—Transit oriented development (TCRP Report 95). Retrieved from https://www.nap.edu/read/14077/chapter/2
Ewing, R., & Cervero, R. (2010). Travel and the built environment: A meta-analysis. Journal of the American Planning Association, 76(3), 265–294.
Ewing, R., DeAnna, M., & Li, S.-C. (1996). Land-use impacts on trip generation rates. Transportation Research Record: Journal of the Transportation Research Board, 1518, 1–6.
Ewing, R., Greenwald, M., Zhang, M., Walters, J., Feldman, M., Cervero, R., . . . Thomas, J. (2011). Traffic generated by mixed-use developments—Six-region study using consistent built environment measures. Journal of Urban Planning and Development, 137(3), 248–261.
Ewing, R., & Hamidi, S. (2014). Longitudinal analysis of transit's land use multiplier in Portland (OR). Journal of the American Planning Association, 80(2), 123–137.
Ferrari, S., & Cribari-Neto, F. (2004). Beta regression for modelling rates and proportions. Journal of Applied Statistics, 31(7), 799–815.
Gamas, J. A., Anderson, W. P., & Pastor, C. (2006). Estimation of trip generation in Mexico City, Mexico, with spatial effects and urban densities. Transportation Research Record: Journal of the Transportation Research Board, 1985, 49–60.
Goodwin, P. (1993). Car ownership and public transport use: Revisiting the interaction. Transportation, 20(1), 21–33.
Gulden, J., Goates, J. P., & Ewing, R. (2013). Mixed-use development trip generation model. Transportation Research Record: Journal of the Transportation Research Board, 2344, 98–106.
Handy, S., Cao, X., & Mokhtarian, P. (2005). Correlation or causality between the built environment and travel behavior? Evidence from Northern California. Transportation Research Part D, 10, 427–444.
Hendricks, S., Winters, P., Wambalaba, F., Barbeau, S., Catala, M., Thomas, K., . . . Goodwill, J. (2005). Impacts of transit-oriented development on public transportation ridership. Retrieved from https://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=1238&context=cutr_nctr
Kasraian, D., Maat, K., Stead, D., & Van Wee, B. (2016). Long-term impacts of transport infrastructure networks on land-use change: An international review of empirical studies. Transport Reviews, 36(6), 772–792.
Kieschnick, R., & McCullough, B. D. (2003). Regression analysis of variates observed on (0, 1): Percentages, proportions and fractions. Statistical Modelling, 3, 193–213.
Kim, J., Delbosc, A., & De Gruyter, C. (2017). Estimating residential public transport trip generation rates. Paper presented at the Australian Institute of Traffic Planning and Management (AITPM) National Conference, Melbourne, Australia.
Lin, J.-J., & Yu, T.-P. (2011). Built environment effects on leisure travel for children: Trip generation and travel mode. Transport Policy, 18(1), 246–258.
Loukaitou-Sideris, A., Higgins, H., Cuff, D., & Oprea, D. (2013). Up in the air: Urban design for light rail transit stations in highway medians. Journal of Urban Design, 18(3), 313–339.
Martin, M., Hard, E., Bochner, B., & Hooper, K. (2018). Embracing change—Estimating site trip generation for smart growth development. Paper presented at the 97th Transportation Research Board (TRB) Annual Meeting, Washington, DC.
McKibbin, M. (2011). The influence of the built environment on mode choice—Evidence from the journey to work in Sydney. Paper presented at the 34th Australasian Transport Research Forum (ATRF), Adelaide, South Australia, Australia.
NASEM. (2006). Guidebook for evaluating, selecting, and implementing suburban transit services. Retrieved from https://www.nap.edu/catalog/13955/guidebook-for-evaluating-selecting-and-implementing-suburban-transit-services
Nasri, A., & Zhang, L. (2014). The analysis of transit-oriented development (TOD) in Washington, DC and Baltimore metropolitan areas. Transport Policy, 32, 172–179.
Nguyen-Phuoc, D. Q., Currie, G., De Gruyter, C., & Young, W. (2018). Congestion relief and public transport: An enhanced method using disaggregate mode shift evidence. Case Studies on Transport Policy, 6(4), 518–528.
OECD. (2019). The OECD Metropolitan eXplorer. Retrieved from https://measuringurban.oecd.org
PTV. (2012). Early history of public transport. Retrieved from https://web.archive.org/web/20120807063057/http://corp.ptv.vic.gov.au/managing-victoria-s-public-transport-network/history-and-heritage/early-history-of-public-transport/
PTV. (2019a). Ferries. Retrieved from https://www.ptv.vic.gov.au/more/travelling-on-the-network/ferries/
PTV. (2019b). Metropolitan fares. Retrieved from https://www.ptv.vic.gov.au/tickets/fares/metropolitan-fares/
PTV. (2019c). Operator contact details. Retrieved from https://www.ptv.vic.gov.au/footer/customer-service/operator-contact-details/
PTV. (2019d). Public transport partnership agreements. Retrieved from https://www.ptv.vic.gov.au/footer/legal-and-policies/public-transport-partnership-agreements/
PTV. (2019e). Timetables. Retrieved from https://www.ptv.vic.gov.au/timetables
Renne, J. (2009). From transit-adjacent to transit-oriented development. Local Environment, 14(1), 1–15.
Renne, J., Hamidi, S., & Ewing, R. (2016). Transit commuting, the network accessibility effect, and the built environment in station areas across the United States. Research in Transport Economics, 60, 35–43.
Ryan, S., & Frank, L. (2009). Pedestrian environments and transit ridership. Journal of Public Transportation, 12(1), 39–57.
Spiridonos, F. (2013). Transport demand modelling in Melbourne. Paper presented at the 19th International Conference on Urban Transport and the Environment, Kos, Greece.
State of Victoria. (2019). Delivering for all Victorians: Victorian budget 19/20 service delivery (Budget paper No. 3). Retrieved from https://www.dtf.vic.gov.au/2019-20-state-budget/2019-20-service-delivery
Stevens, M. R. (2017). Does compact development make people drive less? Journal of the American Planning Association, 83(1), 7–18.
Stojanovski, T. (2020). Urban design and public transportation — public spaces, visual proximity and transit-oriented development (TOD). Journal of Urban Design, 25(1), 134–154.
Taylor, B. D., Miller, D., Iseki, H., & Fink, C. (2009). Nature and/or nurture? Analyzing the determinants of transit ridership across US urbanized areas. Transportation Research Part A, 43, 60–77.
Tian, G., Ewing, R., White, A., Hamidi, S., Walters, J., Goates, J. P., & Joyce, A. (2015). Traffic generated by mixed-use developments: Thirteen-region study using consistent measures of built environment. Transportation Research Record: Journal of the Transportation Research Board, 2500, 116–124.
Tian, G., Park, K., & Ewing, R. (2018). Trip and parking generation rates for different housing types: Effects of compact development. Paper presented at the 97th Transportation Research Board (TRB) Annual Meeting, Washington, DC.
Truong, L. T., & Currie, G. (2019). Macroscopic road safety impacts of public transport: A case study of Melbourne, Australia. Accident Analysis & Prevention, 132, Article no. 105270, pp. 1-10.
Tsai, C.-H., Mulley, C., & Clifton, G. (2012). The spatial interactions between public transport demand and land-use characteristics in the Sydney Greater Metropolitan Area. Road & Transport Research, 21(4), 62–73.
UITP. (2015). Mobility in cities database 2015. Retrieved from https://www.uitp.org/publications/mobility-in-cities-database/
Victorian Government. (2019). DataVic. Retrieved from https://data.vic.gov.au/
Westrom, R., Dock, S., Henson, J., Watten, M., Bakhru, A., Ridgway, M., . . . Paradkar, R. (2017). Multimodal trip generation model to assess travel impacts of urban developments in the District of Columbia. Transportation Research Record: Journal of the Transportation Research Board, 2668, 29–37.
Zamir, K. R., Nasri, A., Baghaei, B., Mahapatra, S., & Zhang, L. (2014). Effects of transit-oriented development on trip generation, distribution, and mode share in Washington, D.C., and Baltimore, Maryland. Transportation Research Record: Journal of the Transportation Research Board, 2413, 45–53.
Zegras, C. (2010). The built environment and motor vehicle ownership and use: Evidence from Santiago de Chile. Urban Studies, 47(8), 1793–1817.
Zhang, L., Hong, J., Nasri, A., & Shen, Q. (2012). How built environment affects travel behavior: A comparative analysis of the connections between land use and vehicle miles traveled in US cities. Journal of Transport and Land Use, 5(3), 40–52.
