IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i9p2463-d226094.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/9/2463/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/9/2463/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Barrios, Javier A., 2004. "Generalized sample selection bias correction under RUM," Economics Letters, Elsevier, vol. 85(1), pages 129-132, October.
    4. 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.
    5. Arnott, Richard & Inci, Eren & Rowse, John, 2015. "Downtown curbside parking capacity," Journal of Urban Economics, Elsevier, vol. 86(C), pages 83-97.
    6. 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.
    7. Arnott, Richard & Williams, Parker, 2017. "Cruising for parking around a circle," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 357-375.
    8. repec:cdl:uctcwp:qt55s7079f is not listed on IDEAS
    9. 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.
    10. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    11. 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.
    12. 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.
    13. Arnott, Richard, 2014. "On the optimal target curbside parking occupancy rate," Economics of Transportation, Elsevier, vol. 3(2), pages 133-144.
    14. 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.
    15. 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.
    16. Shoup, Donald C., 2006. "Cruising for parking," Transport Policy, Elsevier, vol. 13(6), pages 479-486, November.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. Hensher, David & Louviere, Jordan & Swait, Joffre, 1998. "Combining sources of preference data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 197-221, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    4. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Soto, Jose J. & Márquez, Luis & Macea, Luis F., 2018. "Accounting for attitudes on parking choice: An integrated choice and latent variable approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 65-77.
    2. 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.
    3. Abdelghaffar, Hossam M. & Batista, S.F.A. & Rehman, Abdur & Cao, Jin & Menéndez, Mónica & Jabari, Saif Eddin, 2024. "Comparison of probabilistic cruising-for-parking time estimation models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    4. Saki, Siavash & Hagen, Tobias, 2024. "Cruising for parking again: Measuring the ground truth and using survival analysis to reveal the determinants of the duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    5. 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).
    6. Khordagui, Nagwa, 2019. "Parking prices and the decision to drive to work: Evidence from California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 479-495.
    7. Saki, Siavash & Hagen, Tobias, 2024. "What drives drivers to start cruising for parking? Modeling the start of the search process," Transportation Research Part B: Methodological, Elsevier, vol. 188(C).
    8. Scheiner, Joachim & Faust, Nico & Helmer, Johannes & Straub, Michael & Holz-Rau, Christian, 2020. "What's that garage for? Private parking and on-street parking in a high-density urban residential neighbourhood," Journal of Transport Geography, Elsevier, vol. 85(C).
    9. Jun Li & Sifan Wu & Xiaoman Feng, 2021. "Optimization of On-Street Parking Charges Based on Price Elasticity of the Expected Perceived Parking Cost," Sustainability, MDPI, vol. 13(10), pages 1-13, May.
    10. Geva, Sharon & Fulman, Nir & Ben-Elia, Eran, 2022. "Getting the prices right: Drivers' cruising choices in a serious parking game," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 54-75.
    11. Kadkhodaei, Masoud & Shad, Rouzbeh & Ziaee, Seyed Ali & Kadkhodaei, Mohsen, 2023. "Prediction model for drivers' tendency to perpetrate a double parking violation on urban trips," Transport Policy, Elsevier, vol. 141(C), pages 331-339.
    12. Inci, Eren, 2015. "A review of the economics of parking," Economics of Transportation, Elsevier, vol. 4(1), pages 50-63.
    13. 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.
    14. Yating Zhu & Xiaofei Ye & Jun Chen & Xingchen Yan & Tao Wang, 2020. "Impact of Cruising for Parking on Travel Time of Traffic Flow," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    15. Kappenberger, Jakob & Stuckenschmidt, Heiner & Gerdon, Frederic, 2025. "Pricing parking for fairness — A simulation study based on an empirically calibrated model of parking behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 193(C).
    16. Gu, Ziyuan & Safarighouzhdi, Farshid & Saberi, Meead & Rashidi, Taha H., 2021. "A macro-micro approach to modeling parking," Transportation Research Part B: Methodological, Elsevier, vol. 147(C), pages 220-244.
    17. Rodríguez, Andrés & Cordera, Rubén & Alonso, Borja & dell'Olio, Luigi & Benavente, Juan, 2022. "Microsimulation parking choice and search model to assess dynamic pricing scenarios," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 253-269.
    18. José Javier Soto Martínez & Luis Gabriel M�rquez D�az & Luis Fernando Macea Mercado, 2018. "Preferencias sobre alternativas de estacionamiento en Cartagena: ¿Cuánto están dispuestos a pagar los conductores?," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 12(2), pages 163-180.
    19. Arnott, Richard & Rowse, John, 2013. "Curbside parking time limits," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 89-110.
    20. Fan Wu & Wei Ma, 2022. "Clustering Analysis of the Spatio-Temporal On-Street Parking Occupancy Data: A Case Study in Hong Kong," Sustainability, MDPI, vol. 14(13), pages 1-25, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:9:p:2463-:d:226094. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.