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First published online July 31, 2018

Impact of Built Environment on First- and Last-Mile Travel Mode Choice

Abstract

The paper studies the impacts of built environment (BE) on the first- and last-mile travel modal choice. We select Singapore as a case study. The data used for this work is extracted from the first- and last-mile trips to mass rapid transit (MRT) stations in the Household Interview Travel Survey of Singapore in 2012 with nearly 24,000 samples. The BE indicators are quantified based on four “D” variables: Density, Diversity, Design, and Distance to transit. We also take into account sociodemographic and trip-specific variables. Mixed logit (ML) modeling frameworks are adopted to estimate the impact of BE and the heterogeneity of taste across the sample. Based on the availability of light rail transit (LRT) in different areas, two modeling structures are implemented with binary ML models for non-LRT areas where “walk” and “bus” are the available travel modes, and multinomial ML models for areas where LRT is an additional alternative. The modeling results shed light on the following findings: BE—especially distance to MRT station, transportation infrastructures, land-use mix, and socioeconomic activities—significantly influences the first- and last-mile travel behaviors. Those who live or work close to MRT stations and in an area with high socioeconomic activities and land-use mix may have stronger preferences to walk for the first- and last-mile trips. The impact of physical BE (i.e., distance, infrastructures) is relatively homogeneous among the sample, while the impact of socioeconomic BE factors (i.e., floor space density, entropy) tends to vary across the sample.

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References

1. Roof K. Public Health: Seattle and King County’s Push for the BE. Journal of Environmental Health, Vol. 71, No. 1, 2008, p. 24.
2. Handy S. L., Boarnet M. G., Ewing R., Killingsworth R. E. How the BE Affects Physical Activity: Views from Urban Planning. American Journal of Preventive Medicine, Vol. 23, No. 2, 2002, pp. 64–73.
3. Ewing R., Cervero R. Travel and the BE: A Meta-Analysis. Journal of the American Planning Association, Vol. 76, No. 3, 2010, pp. 265–294.
4. Stead D., Marshall S. The Relationships between Urban Form and Travel Patterns. An International Review and Evaluation. European Journal of Transport and Infrastructure Research, Vol. 1, No. 2, 2001, pp. 113–141.
5. Dieleman F. M., Dijst M., Burghouwt G. Urban Form and Travel Behaviour: Micro-Level Household Attributes and Residential Context. Urban Studies, Vol. 39, No. 3, 2002, pp. 507–527.
6. Frank L., Bradley M., Kavage S., Chapman J., Lawton T. K. Urban Form, Travel Time, and Cost Relationships with Tour Complexity and Mode Choice. Transportation, Vol. 35, No. 1, 2008, pp. 37–54.
7. Ewing R., Cervero R. Travel and the BE: A Synthesis. Transportation Research Record: Journal of the Transportation Research Board, 2001. 1780: 87–114.
8. Cao X. J., Mokhtarian P. L., Handy S. L. The Relationship between the BE and Nonwork Travel: A Case Study of Northern California. Transportation Research Part A: Policy and Practice, Vol. 43, No. 5, 2009, pp. 548–559.
9. Cervero R., Round A., Goldman T., Wu K.-L. Rail Access Modes and Catchment Areas for the BART System. University of California Transportation Center, Berkeley, CA, 1995.
10. Daniels R., Mulley C. Explaining Walking Distance to Public Transport: The Dominance of Public Transport Supply. Journal of Transport and Land Use, Vol. 6, No. 2, 2013, pp. 5–20.
11. Park S. Defining, Measuring, and Evaluating Path Walkability, and Testing Its Impacts on Transit Users’ Mode Choice and Walking Distance to the Station. University of California, Berkeley, 2008.
12. Tilahun N., Thakuriah P. V., Li M., Keita Y. Transit Use and the Work Commute: Analyzing the Role of Last Mile Issues. Journal of Transport Geography, Vol. 54, 2016, pp. 359–368.
13. Naharudin N., Ahamad M. S. S., Sadullah A. F. M. Assessing Criteria of the Pedestrian-Friendly First/Last Mile Transit Journey by Using Analytical Network Process (ANP) Group Judgment. Proc., 6th International Conference on Social Sciences and Humanities. Bangi, Selangor, Malaysia, April 2017, p. 203.
14. Ryan S., Frank L. F. Pedestrian Environments and Transit Ridership. Journal of Public Transportation, Vol. 12, No. 1, 2009, p. 3.
15. Loutzenheiser D. Pedestrian Access to Transit: Model of Walk Trips and Their Design and Urban Form Determinants around Bay Area Rapid Transit Stations. Transportation Research Record: Journal of the Transportation Research Board, 1997. 1604: 40–49.
16. Jiang Y., Zegras P. C., Mehndiratta S. Walk the Line: Station Context, Corridor Type and Bus Rapid Transit Walk Access in Jinan, China. Journal of Transport Geography, Vol. 20, No. 1, 2012, pp. 1–14.
17. Shen Y., Zhang H., Zhao J. Integrating Shared Autonomous Vehicle in Public Transportation System: A Supply-Side Simulation of the First-Mile Service in Singapore. Transportation Research Part A: Policy and Practice, Vol. 113, 2018, pp. 125–136.
18. Singapore Land Transport Authority. 2012 Household Interview Travel Survey Background Information, Singapore, 2012.
19. Zhu Y., Ferreira J. Synthetic Population Generation at Disaggregated Spatial Scales for Land Use and Transportation Microsimulation. Transportation Research Record: Journal of the Transportation Research Board, 2014. 2429: 168–177.
20. Munshi T. BE and Mode Choice Relationship for Commute Travel in the City of Rajkot, India. Transportation Research Part D: Transport and Environment, Vol. 44, 2016, pp. 239–253.
21. Cervero R., Kockelman K. Travel Demand and the 3Ds: Density, Diversity, and Design. Transportation Research Part D: Transport and Environment, Vol. 2, No. 3, 1997, pp. 199–219.
22. Tracy A. J., Su P., Sadek A. W., Wang Q. Assessing the Impact of the BE on Travel Behavior: A Case Study of Buffalo, New York. Transportation, Vol. 38, No. 4, 2011, pp. 663–678.
23. Minocha I., Sriraj P., Metaxatos P., Thakuriah P. Analysis of Transit Quality of Service and Employment Accessibility for the Greater Chicago, Illinois, Region. Transportation Research Record: Journal of the Transportation Research Board, 2008. 2042: 20–29.
24. Zhao P. The Impact of the BE on Individual Workers’ Commuting Behavior in Beijing. International Journal of Sustainable Transportation, Vol. 7, No. 5, 2013, pp. 389–415.
25. Singapore Land Transport Authority. Singapore Land Transport: Statistics In Brief 2012, Singapore, 2012.
26. Train K. E. Discrete Choice Methods with Simulation. 2nd ed. Cambridge University Press, 2009.
27. Badoe D. A., Miller E. J. Transportation–Land-use Interaction: Empirical Findings in North America, and Their Implications for Modeling. Transportation Research Part D: Transport and Environment, Vol. 5, No. 4, 2000, pp. 235–263.
28. Schwanen T., Mokhtarian P. L. What Affects Commute Mode Choice: Neighborhood Physical Structure or Preferences toward Neighborhoods? Journal of Transport Geography, Vol. 13, No. 1, 2005, pp. 83–99. https://doi.org/http://dx.doi.org/10.1016/j.jtrangeo.2004.11.001.
29. Housing & Development Board. Build-To-Order (BTO). Singapore. http://www.hdb.gov.sg/cs/infoweb/residential/buying-a-flat/new/bto-sbf. Accessed July 30, 2017.
30. Ben-Akiva M. E., Lerman S. R. Discrete Choice Analysis: Theory and Application to Travel Demand. Cambridge, Mass.: MIT Press, 1985.
31. Hensher D. A., Rose J. M., Greene W. H. Applied Choice Analysis: A Primer. Cambridge University Press, 2005.
32. Bierlaire M. PythonBiogeme: A Short Introduction, Report TRANSP-OR 160706, Transport and Mobility Laboratory, School of Architecture, Civil and Environmental Engineering, Ecole Polytechnique Fédérale de Lausanne, 2016.
33. Pucher J., Buehler R., Bassett D. R., Dannenberg A. L. Walking and Cycling to Health: A Comparative Analysis of City, State, and International Data. American Journal of Public Health, Vol. 100, No. 10, 2010, pp. 1986–1992.
34. Hamer M., Chida Y. Active Commuting and Cardiovascular Risk: A Meta-Analytic Review. Preventive Medicine, Vol. 46, No. 1, 2008, pp. 9–13.
35. Celis-Morales C. A., Lyall D. M., Welsh P., Anderson J., Steell L., Guo Y., Maldonado R., Mackay D. F., Pell J. P., Sattar N. Association between Active Commuting and Incident Cardiovascular Disease, Cancer, and Mortality: Prospective Cohort Study. British Medical Journal, Vol. 357, 2017, p. j1456.
36. Singapore Land Transport Authority. Singapore Autonomous Vehicle Initiative. https://www.lta.gov.sg/content/ltaweb/en/roads-and-motoring/managing-traffic-and-congestion/intelligent-transport-systems/savi.html. Accessed July 25, 2017.

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Article first published online: July 31, 2018
Issue published: December 2018

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© National Academy of Sciences: Transportation Research Board 2018.
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Authors

Affiliations

Baichuan Mo
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA
Department of Civil Engineering, Tsinghua University, Beijing, China
Yu Shen
Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China
Future Urban Mobility IRG, Singapore-MIT Alliance for Research and Technology, Singapore
Jinhua Zhao
Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, MA, USA

Notes

Address correspondence to Yu Shen: [email protected]

Author Contributions

The authors confirm contribution to the paper as follows: study conception and design: B.M., Y.S., J.Z.; data collection: B.M., Y.S.; analysis and interpretation of results: B.M., Y.S.; draft manuscript preparation: B.M., Y.S., J.Z. All authors reviewed the results and approved the final version of the manuscript.

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