Investigation of modal integration for transit-access trips in motorcycle dependent cities—The case study of Hanoi, Vietnam

Khuat Viet Hung, An Minh Ngoc, Hoang Huu Thanh

Article ID: 5351
Vol 8, Issue 8, 2024

VIEWS - 117 (Abstract) 68 (PDF)

Abstract


Micro-mobility has the potential to address first -mile challenges, improving transit accessibility and encouraging public transit usage. However, users’ acceptability of modal integration between various micro-mobility options and public transit remains largely unexplored in the literature. Our study investigates the user behavior for first-mile options, focusing on four alternatives: walking, bicycling, motorcycling, and bus, to access urban mass rapid transit (UMRT) in Hanoi, Vietnam. Based on data collected from 1380 individuals, a Nested Logit Model (NLM) was proposed to analyze the determinants of users’ acceptability under each access mode option as well as evaluate further impacts of shifts in access mode choice on vehicle-kilometer traveled and emissions. The analysis shows that the availability of access modes might increase UMRT use by 47.83%. While this increase further generates additional vehicle-kilometer traveled due to the increase in park-and-ride users, this is offset overall by the large number of motorcycle users shifting to UMRT. Under the most optimistic scenario, modal integration for transit-access trips leads to an average reduction of 17.7% in net vehicle-kilometer traveled or 14.5% in net CO2 emissions or 10.9% in NOx from private vehicles. Our findings also imply that the introduction of parking fees for bicycling- or motorcycling-access trips, while impactful, does not significantly change UMRT choice. Therefore, the pricing schemes should be a focus of parking planning surrounding stations. Finally, a number of policy suggestions for parking planning and first-mile vehicles are presented.


Keywords


first-mile mode; modal integration; transit-access trips; nested logit model; emissions; vehicle-kilometer travelled

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References


Baldwin Hess, D., & Ong, P. M. (2002). Traditional Neighborhoods and Automobile Ownership. Transportation Research Record: Journal of the Transportation Research Board, 1805(1), 35–44. https://doi.org/10.3141/1805-05

Baum-Snow, N., & Kahn, M. E. (2005). Effects of Urban Rail Transit Expansions: Evidence from Sixteen Cities, 1970–2000. Brookings-Wharton Papers on Urban Affairs, 2005(1), 147–206. https://doi.org/10.1353/urb.2006.0001

Beimborn, E. A., Greenwald, M. J., & Jin, X. (2003). Accessibility, Connectivity, and Captivity: Impacts on Transit Choice. Transportation Research Record: Journal of the Transportation Research Board, 1835(1), 1–9. https://doi.org/10.3141/1835-01

Ben-Akiva, M. E. S. (1985). Lerman. Discrete Choice Analysis: Theory and Application to Travel Demand. Massachusetts Institute of Technology, Cambridge, Mass.

Bergman, Å., Gliebe, J., & Strathman, J. (2011). Modeling Access Mode Choice for Inter-Suburban Commuter Rail. Journal of Public Transportation, 14(4), 23–42. https://doi.org/10.5038/2375-0901.14.4.2

Boisjoly, G., Grisé, E., Maguire, M., et al. (2018). Invest in the ride: A 14 year longitudinal analysis of the determinants of public transport ridership in 25 North American cities. Transportation Research Part A: Policy and Practice, 116, 434–445. https://doi.org/10.1016/j.tra.2018.07.005

Chiu, B. (2023). Does mass rapid transit reduce motorcycle travel? Evidence from Taipei, Taiwan. Transportation Research Part D: Transport and Environment, 121, 103844. https://doi.org/10.1016/j.trd.2023.103844

Chow, L.-F., Zhao, F., Liu, X., et al. (2006). Transit Ridership Model Based on Geographically Weighted Regression. Transportation Research Record: Journal of the Transportation Research Board, 1972(1), 105–114. https://doi.org/10.1177/0361198106197200113

Cirillo, C., Axhausen, K. (2001). Comparing urban activity travel behaviour. Arbeitsberichte Verkehrs- und Raumplanung, 100. https://doi.org/10.3929/ethz-a-004339644

Clark, B., Chatterjee, K., & Melia, S. (2016). Changes to commute mode: The role of life events, spatial context and environmental attitude. Transportation Research Part A: Policy and Practice, 89, 89–105. https://doi.org/10.1016/j.tra.2016.05.005

Creemers, L., Cools, M., Tormans, H., et al. (2012). Identifying the Determinants of Light Rail Mode Choice for Medium- and Long-Distance Trips. Transportation Research Record: Journal of the Transportation Research Board, 2275(1), 30–38. https://doi.org/10.3141/2275-04

Cui, B., Boisjoly, G., Miranda-Moreno, L., et al. (2020). Accessibility matters: Exploring the determinants of public transport mode share across income groups in Canadian cities. Transportation Research Part D: Transport and Environment, 80, 102276. https://doi.org/10.1016/j.trd.2020.102276

Currie, G., & Delbosc, A. (2011). Understanding bus rapid transit route ridership drivers: An empirical study of Australian BRT systems. Transport Policy, 18(5), 755–764. https://doi.org/10.1016/j.tranpol.2011.03.003

De Gruyter, C., Truong, L. T., & Taylor, E. J. (2020). Can high quality public transport support reduced car parking requirements for new residential apartments? Journal of Transport Geography, 82, 102627. https://doi.org/10.1016/j.jtrangeo.2019.102627

de Palma, A., Rochat, D. (2000). Mode choices for trips to work in Geneva: an empirical analysis. Journal of Transport Geography 8, 43–51. https://doi.org/10.1016/S0966-6923(99)00026-5

de Vasconcellos, E. A. (2005). Urban change, mobility and transport in São Paulo: three decades, three cities. Transport Policy, 12(2), 91–104. https://doi.org/10.1016/j.tranpol.2004.12.001

De Witte, A., Hollevoet, J., Dobruszkes, F., et al. (2013). Linking modal choice to motility: A comprehensive review. Transportation Research Part A: Policy and Practice, 49, 329–341. https://doi.org/10.1016/j.tra.2013.01.009

De Witte, A., Macharis, C., & Mairesse, O. (2008). How persuasive is ‘free’ public transport? Transport Policy, 15(4), 216–224. https://doi.org/10.1016/j.tranpol.2008.05.004

Debrezion, G., Pels, E., & Rietveld, P. (2009). Modelling the joint access mode and railway station choice. Transportation Research Part E: Logistics and Transportation Review, 45(1), 270–283. https://doi.org/10.1016/j.tre.2008.07.001

Delgado, O., Muncrief, R. (2015). Assessment of Heavy Duty Natural Gas Vehicles Emissions: Implications and Policy. Available online: http://theicct.org/sites/default/files/publications/ICCT_NG-HDV-emissions-assessmnt_20150730.pdf (accessed on 15 February 2024).

Dickins, I. S. J. (1991). Park and ride facilities on light rail transit systems. Transportation, 18(1), 23–36. https://doi.org/10.1007/bf00150557

Duncan, M., & Cook, D. (2014). Is the provision of park-and-ride facilities at light rail stations an effective approach to reducing vehicle kilometers traveled in a US context? Transportation Research Part A: Policy and Practice, 66, 65–74. https://doi.org/10.1016/j.tra.2014.04.014

Giuliano, G. (2005). Low Income, Public Transit, and Mobility. Transportation Research Record: Journal of the Transportation Research Board, 1927(1), 63–70. https://doi.org/10.1177/0361198105192700108

Guerra, E., & Cervero, R. (2011). Cost of a Ride. Journal of the American Planning Association, 77(3), 267–290. https://doi.org/10.1080/01944363.2011.589767

Guo, Z. (2013). Does residential parking supply affect household car ownership? The case of New York City. Journal of Transport Geography, 26, 18–28. https://doi.org/10.1016/j.jtrangeo.2012.08.006

Hensher, D. A., & Rose, J. M. (2007). Development of commuter and non-commuter mode choice models for the assessment of new public transport infrastructure projects: A case study. Transportation Research Part A: Policy and Practice, 41(5), 428–443. https://doi.org/10.1016/j.tra.2006.09.006

Hsu, T. P., Dao, N. X., Ahmad, F.M.S. (2003). A Comparative Study on Motorcycle Traffic Development of Taiwan, Malaysian and Vietnam. Journal of the Eastern Asia Society for Transportation Studies, 5, 179–193.

Institute for Transport Development Strategy (TDSI). (2019). Project of enhancing public transport service by bus in Hanoi: Final report. Hanoi, Vietnam. Institute for Transport Development Strategy.

IPCC. (n.d.). AR5 Synthesis Report: Climate Change 2014. https://www.ipcc.ch/report/ar5/ (accessed on 10 December 2021).

IQAir. (2021). 2020 World Air Quality Report—Region & City PM 2.5 Ranking: Final Report. Available online: https://www.greenpeace.org/static/planet4-romania-stateless/2021/03/d8050eab2020-world_air_quality_report.pdf (accessed on 10 December 2021).

JICA. (2017). Project of Data collection survey on railways in major cities in Vietnam—Hanoi: Final Report. JICA.

Kajita, Y., Toi, S., Chishaki, T., et al. (2004). Structural mechanism of modal choice based on the linked structure of trip purpose and transportation choice. Memoirs of the Faculty of Engineering, Kyushu University, 64(1), 17–33.

Kenworthy, J. (1991). The land use and transit connection in toronto. Australian Planner, 29(3), 149–154. https://doi.org/10.1080/07293682.1991.9657521

Kim, C., & Wang, S. (2015). Empirical examination of neighborhood context of individual travel behaviors. Applied Geography, 60, 230–239. https://doi.org/10.1016/j.apgeog.2014.10.017

Kim, S., & Ulfarsson, G. F. (2008). Curbing automobile use for sustainable transportation: analysis of mode choice on short home-based trips. Transportation, 35(6), 723–737. https://doi.org/10.1007/s11116-008-9177-5

Kodepogu, K., Manjeti, V. B., & Siriki, A. B. (2023). Machine Learning for Road Accident Severity Prediction. Mechatronics and Intelligent Transportation Systems, 2(4). https://doi.org/10.56578/mits020403

Kuby, M., Barranda, A., & Upchurch, C. (2004). Factors influencing light-rail station boardings in the United States. Transportation Research Part A: Policy and Practice, 38(3), 223–247. https://doi.org/10.1016/j.tra.2003.10.006

Lai, W. T., Lu, J. L. (2007). Modeling the working mode choice, ownership and usage of car and motorcycle in Taiwan. Journal of the Eastern Asia Society for Transportation Studies, 7, 869–885. https://doi.org/10.11175/easts.7.869

Lane, C., DiCarlantonio, M., & Usvyat, L. (2006). Sketch Models to Forecast Commuter and Light Rail Ridership. Transportation Research Record: Journal of the Transportation Research Board, 1986(1), 198–210. https://doi.org/10.1177/0361198106198600124

Lang, J., Liang, X., Li, S., et al. (2021). Understanding the impact of vehicular emissions on air pollution from the perspective of regional transport: A case study of the Beijing-Tianjin-Hebei region in China. Science of The Total Environment, 785, 147304. https://doi.org/10.1016/j.scitotenv.2021.147304

Lee, B., & Lee, Y. (2013). Complementary Pricing and Land Use Policies: Does It Lead to Higher Transit Use? Journal of the American Planning Association, 79(4), 314–328. https://doi.org/10.1080/01944363.2014.915629

Legrain, A., Buliung, R., & El-Geneidy, A. M. (2015). Who, What, When, and Where. Transportation Research Record: Journal of the Transportation Research Board, 2537(1), 42–51. https://doi.org/10.3141/2537-05

Levy, J. I., Buonocore, J. J., & von Stackelberg, K. (2010). Evaluation of the public health impacts of traffic congestion: a health risk assessment. Environmental Health, 9(1). https://doi.org/10.1186/1476-069x-9-65

Limtanakool, N., Dijst, M., & Schwanen, T. (2006). The influence of socioeconomic characteristics, land use and travel time considerations on mode choice for medium- and longer-distance trips. Journal of Transport Geography, 14(5), 327–341. https://doi.org/10.1016/j.jtrangeo.2005.06.004

Luo, Z., Wang, Y., Lv, Z., et al. (2022). Impacts of vehicle emission on air quality and human health in China. Science of The Total Environment, 813, 152655. https://doi.org/10.1016/j.scitotenv.2021.152655

Manville, M. (2017). Travel and the Built Environment: Time for Change. Journal of the American Planning Association, 83(1), 29–32. https://doi.org/10.1080/01944363.2016.1249508

Manville, M., Taylor, B., Blumenberg, E. (2018). Falling transit ridership: California and Southern California. UCLA Institute of Transportation Studies.

Meek, S., Ison, S., & Enoch, M. (2011). Evaluating alternative concepts of bus-based park and ride. Transport Policy, 18(2), 456–467. https://doi.org/10.1016/j.tranpol.2010.09.006

Mercado, R. G., Paez, A., Farber, S., et al. (2012). Explaining transport mode use of low-income persons for journey to work in urban areas: a case study of Ontario and Quebec. Transportmetrica, 8(3), 157–179. https://doi.org/10.1080/18128602.2010.539413

Mingardo, G. (2013). Transport and environmental effects of rail-based Park and Ride: evidence from the Netherlands. Journal of Transport Geography, 30, 7–16. https://doi.org/10.1016/j.jtrangeo.2013.02.004

Minh Ngoc, A. (2015). Quality management for public transport in motorcycle dependent cities. Available online: https://tuprints.ulb.tu-darmstadt.de/5015/ (accessed on 10 December 2021).

Mississauga. (2019). Parking MasterPlan and Implementation Strategy. City of Mississauga. Final Report, 2019. Available online: www.ca/wp-content/uploads/2020/01/29100946/Mississauga-PMPIS-Executive-Summary-AODA.pdf (accessed on 10 December 2021).

Ngoc, A. M., Nishiuchi, H., Van Truong, N., et al. (2021). A comparative study on travel mode share, emission, and safety in five Vietnamese Cities. International Journal of Intelligent Transportation Systems Research, 20(1), 157–169. https://doi.org/10.1007/s13177-021-00283-0

Nguyen, S.-T., Moeinaddini, M., Saadi, I., et al. (2024). Applying a Bayesian network for modelling the shift from motorcycle to public transport use in Vietnam. Transportation Research Part A: Policy and Practice, 183, 104062. https://doi.org/10.1016/j.tra.2024.104062

Nolan, A. (2010). A dynamic analysis of household car ownership. Transportation Research Part A: Policy and Practice, 44(6), 446–455. https://doi.org/10.1016/j.tra.2010.03.018

NTSC (2021). Motorcycle and car statistics from 1990 to 2020. National Traffic Safety Committee.

Nurul Habib, K. M., Day, N., & Miller, E. J. (2009). An investigation of commuting trip timing and mode choice in the Greater Toronto Area: Application of a joint discrete-continuous model. Transportation Research Part A: Policy and Practice, 43(7), 639–653. https://doi.org/10.1016/j.tra.2009.05.001

Owen, A., & Levinson, D. M. (2015). Modeling the commute mode share of transit using continuous accessibility to jobs. Transportation Research Part A: Policy and Practice, 74, 110–122. https://doi.org/10.1016/j.tra.2015.02.002

Parkhurst, G. (2000a). Influence of bus-based Park and Ride facilities on users’ car traffic. Transport Policy, 7(2), 159–172 https://doi.org/10.1016/S0967-070X(00)00006-8

Parkhurst, G. (2000b). Link-and-Ride: a longer-range strategy for car-bus interchange. Traffic Engineering and Control, 41, 319–324.

Parkhurst, G., (1995). Park and Ride: could it lead to an increase in car traffic? Transport Policy, 2(1), 15–23. https://doi.org/10.1016/0967-070X(95)93242-Q

Qu, X., & Wang, S. (2014). Long‐Distance‐Commuter (LDC) Lane: A New Concept for Freeway Traffic Management. Computer-Aided Civil and Infrastructure Engineering, 30(10), 815–823. Portico. https://doi.org/10.1111/mice.12102

Quade, P. B., Douglas, I., Cervero, R. (1996). Transit and Urban Form. Transportation Research Board (TRB), National Research Council.

Rietveld, P. (2000). The accessibility of railway stations: the role of the bicycle in The Netherlands. Transport Research Part D: Transport and Environment, 5, 71–75. https://doi.org/10.1016/S1361-9209(99)00019-X

Senturk, O., & Baghırov, A. (2023). Enhancing Sustainable Development Through Blockchain: A Study on Risk Management and Data Integrity. Journal of Organizations, Technology and Entrepreneurship, 1(2), 110–126. https://doi.org/10.56578/jote010204

Shoup, D. (2018). On-Street Parking Management Versus Off-Street Parking Requirements. Parking and the City, 228–230. https://doi.org/10.4324/9781351019668-23

Simić, N., Ivanišević, N., Nedeljković, Đ., et al. (2023). Early Highway Construction Cost Estimation: Selection of Key Cost Drivers. Sustainability, 15(6), 5584. https://doi.org/10.3390/su15065584

Simizu, T., Vu, A. T., Nguyen, H. M. (2005). A study on motorcycle-based motorization and traffic flow in Hanoi city: toward urban air quality management. WIT Transactions on Ecology and the Environment, 82.

Soltani, A., Somenahalli, S. (2013). Household Vehicle Ownership: Does urban structure matter? Available online: https://australasiantransportresearchforum.org.au/wp-content/uploads/2022/03/2005_Soltani_Somenahalli.pdf (accessed on 12 February 2024).

Spreafico, C., & Russo, D. (2021). Eco-assessment software: A quantitative review involving papers and patents. Computer Science Review, 40, 100401. https://doi.org/10.1016/j.cosrev.2021.100401

Trifunović, A., Senić, A., Čičević, S., et al. (2024). Evaluating the Road Environment Through the Lens of Professional Drivers: A Traffic Safety Perspective. Mechatronics and Intelligent Transportation Systems, 3(1). https://doi.org/10.56578/mits030103

Susilo, Y. O., & Cats, O. (2014). Exploring key determinants of travel satisfaction for multi-modal trips by different traveler groups. Transportation Research Part A: Policy and Practice, 67, 366–380. https://doi.org/10.1016/j.tra.2014.08.002

Thanh Truong, T. M., & Ngoc, A. M. (2020). Parking behavior and the possible impacts on travel alternatives in motorcycle-dominated cities. Transportation Research Procedia, 48, 3469–3485. https://doi.org/10.1016/j.trpro.2020.08.105

Topp, H. H. (1995). A critical review of current illusions in traffic management and control. Transport Policy, 2(1), 33–42. https://doi.org/10.1016/0967-070X(95)93244-S

UNFCCC. (2014). Upstream leakage emissions associated with fossil fuel usage(CDM Methodological Tool, Version 2.0). UNFCCC.

University of Transport and Communications (UTC). (2020). Traffic survey report for 40 road sections in Hanoi: Final report. The University of Transport and Communications.

Vande Walle, S., & Steenberghen, T. (2006). Space and time related determinants of public transport use in trip chains. Transportation Research Part A: Policy and Practice, 40(2), 151–162. https://doi.org/10.1016/j.tra.2005.05.001

Vega, A., & Reynolds-Feighan, A. (2009). A methodological framework for the study of residential location and travel-to-work mode choice under central and suburban employment destination patterns. Transportation Research Part A: Policy and Practice, 43(4), 401–419. https://doi.org/10.1016/j.tra.2008.11.011

Wang, K., & Woo, M. (2017). The relationship between transit rich neighborhoods and transit ridership: Evidence from the decentralization of poverty. Applied Geography, 86, 183–196. https://doi.org/10.1016/j.apgeog.2017.07.004

Weinberger, R. (2012). Death by a thousand curb-cuts: Evidence on the effect of minimum parking requirements on the choice to drive. Transport Policy, 20, 93–102. https://doi.org/10.1016/j.tranpol.2011.08.002

Zhang, J., Wang, D. Z. W., & Meng, M. (2018). Which service is better on a linear travel corridor: Park & ride or on-demand public bus? Transportation Research Part A: Policy and Practice, 118, 803–818. https://doi.org/10.1016/j.tra.2018.10.003

Zhou, J., Wei, H., Zhao, Y., et al. (2023). China-Europe Container Multimodal Transport Path Selection Based on Multi-objective Optimization. Mechatronics and Intelligent Transportation Systems, 2(2). https://doi.org/10.56578/mits020203




DOI: https://doi.org/10.24294/jipd.v8i8.5351

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