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Motorcycle Drivers’ Parking Lot Choice Behaviors in Developing Countries: Analysis to Identify Influence Factors

Author

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  • Phuc Hai Hoang

    (School of Transportation and Logistics, Faculty of Infrastructure Engineering, Dalian University of Technology, Liaoning 116024, China)

  • Shengchuan Zhao

    (School of Transportation and Logistics, Faculty of Infrastructure Engineering, Dalian University of Technology, Liaoning 116024, China)

  • Siv Eng Houn

    (Institute of Finance and Accounting, Faculty of Management and Economics, Dalian University of Technology, Liaoning 116024, China)

Abstract

Drivers’ behaviors to look for a parking space are affected by numerous influence factors, and there are differences between motorcycle drivers and other drivers, such as car drivers and truck drivers. In many developing countries, motorcycles dominate urban transportation, and it is essential to assess the impact of motorcycle drivers’ parking choice behavior as a solution to reduce the effect on traffic flow. This study identified the influence factors of motorcycle drivers’ parking lot choice models in a developing country, Viet Nam. Data were collected in a motorcycle dependent city, Ho Chi Minh (HCM) City, typically. A stated preference (SP) survey was designed and collected 318 answers from motorcycle drivers. Various discrete choice models under the assumption of random utility maximizations (RUM), which included the mixed logit model, multinomial logit model, and nested logit model, were employed to evaluate the influence factors on motorcycle drivers’ parking choice behavior models. The results showed that the mixed logit model fit with the data. Parking fee, walking distance, the capacity of the parking lot, and queuing time have significant effects on parking lot choice modeling. However, navigation and street sign variables showed a lesser effect on the choices of motorcycle users. This study towards parking planning solution for motorcycles and the author expects that it would be helpful to further study on the parking lot in developing countries.

Suggested Citation

  • Phuc Hai Hoang & Shengchuan Zhao & Siv Eng Houn, 2019. "Motorcycle Drivers’ Parking Lot Choice Behaviors in Developing Countries: Analysis to Identify Influence Factors," Sustainability, MDPI, vol. 11(9), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:9:p:2463-:d:226094
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    References listed on IDEAS

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    1. John Golias & George Yannis & Michel Harvatis, 2002. "Off-Street Parking Choice Sensitivity," Transportation Planning and Technology, Taylor & Francis Journals, vol. 25(4), pages 333-348, January.
    2. Shoup, Donald C., 2006. "Cruising for parking," Transport Policy, Elsevier, vol. 13(6), pages 479-486, November.
    3. Kobus, Martijn B.W. & Gutiérrez-i-Puigarnau, Eva & Rietveld, Piet & Van Ommeren, Jos N., 2013. "The on-street parking premium and car drivers' choice between street and garage parking," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 395-403.
    4. Antolín, Gonzalo & Ibeas, Ángel & Alonso, Borja & dell'Olio, Luigi, 2018. "Modelling parking behaviour considering users heterogeneities," Transport Policy, Elsevier, vol. 67(C), pages 23-30.
    5. Liu, Wei & Geroliminis, Nikolas, 2016. "Modeling the morning commute for urban networks with cruising-for-parking: An MFD approach," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 470-494.
    6. Fabusuyi, Tayo & Hampshire, Robert C., 2018. "Rethinking performance based parking pricing: A case study of SFpark," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 90-101.
    7. Li, Shengxiao & Zhao, Pengjun & Zhang, He & Quan, Jing, 2019. "Walking behavior in the old downtown Beijing: The impact of perceptions and attitudes and social variations," Transport Policy, Elsevier, vol. 73(C), pages 1-11.
    8. Arnott, Richard, 2014. "On the optimal target curbside parking occupancy rate," Economics of Transportation, Elsevier, vol. 3(2), pages 133-144.
    9. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    10. Arnott, Richard & Williams, Parker, 2017. "Cruising for parking around a circle," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 357-375.
    11. Arnott, Richard & Inci, Eren & Rowse, John, 2015. "Downtown curbside parking capacity," Journal of Urban Economics, Elsevier, vol. 86(C), pages 83-97.
    12. Hensher, David & Louviere, Jordan & Swait, Joffre, 1998. "Combining sources of preference data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 197-221, November.
    13. Barrios, Javier A., 2004. "Generalized sample selection bias correction under RUM," Economics Letters, Elsevier, vol. 85(1), pages 129-132, October.
    14. Zhibin Chen & Stephen Spana & Yafeng Yin & Yuchuan Du, 2019. "An Advanced Parking Navigation System for Downtown Parking," Networks and Spatial Economics, Springer, vol. 19(3), pages 953-968, September.
    15. Ibeas, A. & dell’Olio, L. & Bordagaray, M. & Ortúzar, J. de D., 2014. "Modelling parking choices considering user heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 41-49.
    16. Bierlaire, M. & Bolduc, D. & McFadden, D., 2008. "The estimation of generalized extreme value models from choice-based samples," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 381-394, May.
    17. Christiansen, Petter & Engebretsen, Øystein & Fearnley, Nils & Usterud Hanssen, Jan, 2017. "Parking facilities and the built environment: Impacts on travel behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 198-206.
    18. Chaniotakis, Emmanouil & Pel, Adam J., 2015. "Drivers’ parking location choice under uncertain parking availability and search times: A stated preference experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 228-239.
    19. Hess, Stephane & Train, Kenneth E. & Polak, John W., 2006. "On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice," Transportation Research Part B: Methodological, Elsevier, vol. 40(2), pages 147-163, February.
    20. Alemi, Farzad & Rodier, Caroline & Drake, Christiana, 2018. "Cruising and on-street parking pricing: A difference-in-difference analysis of measured parking search time and distance in San Francisco," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 187-198.
    21. Shoup, Donald C., 2006. "Cruising for Parking," University of California Transportation Center, Working Papers qt55s7079f, University of California Transportation Center.
    22. Amer, Ahmed & Chow, Joseph Y.J., 2017. "A downtown on-street parking model with urban truck delivery behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 51-67.
    23. Thompson, Russell G. & Richardson, Anthony J., 1998. "A Parking Search Model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(3), pages 159-170, April.
    24. Cao, Jin & Menendez, Monica, 2018. "Quantification of potential cruising time savings through intelligent parking services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 151-165.
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    Cited by:

    1. José Manuel García-Gallego & Taeun Kang & Sergio Rubio Lacoba & Andrea Genovese, 2019. "Lorry Park Selection Criteria and Drivers’ Preferences: A Study from the UK," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    2. Sowmya Karri & Meera M. Dhabu, 2022. "Multistage Game Model Based Dynamic Pricing for Car Parking Slot to Control Congestion," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    3. Parmar, Janak & Saiyed, Gulnazbanu & Dave, Sanjaykumar, 2023. "Analysis of taste heterogeneity in commuters’ travel decisions using joint parking– and mode–choice model: A case from urban India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    4. Janak Parmar & Gulnazbanu Saiyed & Sanjaykumar Dave, 2021. "Analysis of taste heterogeneity in commuters travel decisions using joint parking and mode choice model: A case from urban India," Papers 2109.01045, arXiv.org, revised Oct 2023.

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