IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i16p3073-d256337.html
   My bibliography  Save this article

Empirical Analysis of Parking Behaviour of Conventional and Electric Vehicles for Parking Modelling: A Case Study of Beijing, China

Author

Listed:
  • Chengxiang Zhuge

    (Department of Geography, University of Cambridge, Downing Place, Cambridge CB2 3EN, UK
    Tyndall Centre for Climate Change Research, University of East Anglia, Norwich NR4 7TJ, UK
    Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, China)

  • Chunfu Shao

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, 3 Shangyuancun, Xizhimenwai, Beijing 100044, China)

  • Xia Li

    (School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China)

Abstract

An empirical study of the parking behaviour of Conventional Vehicles (CVs), Battery Electric Vehicles (BEVs), and Plug-in Hybrid Electric Vehicles (PHEVs) was carried out with the data collected in a paper-based questionnaire survey in Beijing, China. The study investigated the factors that might influence the parking behaviour, with a focus on the maximum acceptable time of walking from parking lot to trip destination, parking fee, the availability of charging posts, the state of charge of EVs and the range anxiety of BEVs. Several Multinomial Logit (MNL) models were developed to explore the relationships between individual attributes and parking choices. The results suggest that (1) the maximum acceptable walking time generally increases with the rise in the amount of saving for parking fee; (2) the availability of charging posts does not influence the maximum acceptable walking time when PHEVs and BEVs have sufficient charge, but the percentage of people willing to walk longer than eight minutes increases from around 35% to 46% when PHEVs are in a low stage of charge; (3) more than half of BEV drivers want the driving range of their vehicles to be one and a half times the driving distance before they depart, given the distance is 50 km. Based on the empirical findings above, a conceptual framework was proposed to explicitly simulate the parking behaviour of both CVs and EVs using agent-based modelling.

Suggested Citation

  • Chengxiang Zhuge & Chunfu Shao & Xia Li, 2019. "Empirical Analysis of Parking Behaviour of Conventional and Electric Vehicles for Parking Modelling: A Case Study of Beijing, China," Energies, MDPI, vol. 12(16), pages 1-21, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3073-:d:256337
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/16/3073/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/16/3073/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tan, Kang Miao & Ramachandaramurthy, Vigna K. & Yong, Jia Ying, 2016. "Integration of electric vehicles in smart grid: A review on vehicle to grid technologies and optimization techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 720-732.
    2. Chengxiang Zhuge & Chunfu Shao & Xia Li, 2019. "A Comparative Study of En Route Refuelling Behaviours of Conventional and Electric Vehicles in Beijing, China," Sustainability, MDPI, vol. 11(14), pages 1-21, July.
    3. Robinson, A.P. & Blythe, P.T. & Bell, M.C. & Hübner, Y. & Hill, G.A., 2013. "Analysis of electric vehicle driver recharging demand profiles and subsequent impacts on the carbon content of electric vehicle trips," Energy Policy, Elsevier, vol. 61(C), pages 337-348.
    4. Willett Kempton, 2016. "Electric vehicles: Driving range," Nature Energy, Nature, vol. 1(9), pages 1-2, September.
    5. Xydas, Erotokritos & Marmaras, Charalampos & Cipcigan, Liana M. & Jenkins, Nick & Carroll, Steve & Barker, Myles, 2016. "A data-driven approach for characterising the charging demand of electric vehicles: A UK case study," Applied Energy, Elsevier, vol. 162(C), pages 763-771.
    6. Bonges, Henry A. & Lusk, Anne C., 2016. "Addressing electric vehicle (EV) sales and range anxiety through parking layout, policy and regulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 63-73.
    7. Gillen, David W., 1977. "Estimation and specification of the effects of parking costs on urban transport mode choice," Journal of Urban Economics, Elsevier, vol. 4(2), pages 186-199, April.
    8. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1991. "A temporal and spatial equilibrium analysis of commuter parking," Journal of Public Economics, Elsevier, vol. 45(3), pages 301-335, August.
    9. J. Doyne Farmer & Duncan Foley, 2009. "The economy needs agent-based modelling," Nature, Nature, vol. 460(7256), pages 685-686, August.
    10. Chengxiang Zhuge & Chunfu Shao, 2018. "Agent-Based Modelling of Locating Public Transport Facilities for Conventional and Electric Vehicles," Networks and Spatial Economics, Springer, vol. 18(4), pages 875-908, December.
    11. Inga Molenda & Gernot Sieg, 2017. "To pay or not to pay for parking at shopping malls - A rationale from the perspective of two-sided markets," Working Papers 23, Institute of Transport Economics, University of Muenster.
    12. Albert, Gila & Mahalel, David, 2006. "Congestion tolls and parking fees: A comparison of the potential effect on travel behavior," Transport Policy, Elsevier, vol. 13(6), pages 496-502, November.
    13. Wilson, Richard W., 1992. "Estimating the travel and parking demand effects of employer-paid parking," Regional Science and Urban Economics, Elsevier, vol. 22(1), pages 133-145, March.
    14. Langbroek, Joram H.M. & Franklin, Joel P. & Susilo, Yusak O., 2017. "When do you charge your electric vehicle? A stated adaptation approach," Energy Policy, Elsevier, vol. 108(C), pages 565-573.
    15. Ahmadi Azari, Kian & Arintono, Sulistyo & Hamid, Hussain & Rahmat, Riza Atiq O.K., 2013. "Modelling demand under parking and cordon pricing policy," Transport Policy, Elsevier, vol. 25(C), pages 1-9.
    16. Speidel, Stuart & Bräunl, Thomas, 2014. "Driving and charging patterns of electric vehicles for energy usage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 97-110.
    17. Tsamboulas, Dimitrios A., 2001. "Parking fare thresholds: a policy tool," Transport Policy, Elsevier, vol. 8(2), pages 115-124, April.
    18. Inga Molenda & Gernot Sieg, 2018. "To Pay or Not to Pay for Parking at Shopping Malls: A Rationale from the Perspective of Two-sided Markets," Journal of Transport Economics and Policy, University of Bath, vol. 52(3), pages 283-28-297.
    19. Morrissey, Patrick & Weldon, Peter & O’Mahony, Margaret, 2016. "Future standard and fast charging infrastructure planning: An analysis of electric vehicle charging behaviour," Energy Policy, Elsevier, vol. 89(C), pages 257-270.
    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. Yang, Xiong & Peng, Zhenhan & Wang, Pinxi & Zhuge, Chengxiang, 2023. "Seasonal variance in electric vehicle charging demand and its impacts on infrastructure deployment: A big data approach," Energy, Elsevier, vol. 280(C).
    2. Ye Yang & Zhongfu Tan, 2019. "Investigating the Influence of Consumer Behavior and Governmental Policy on the Diffusion of Electric Vehicles in Beijing, China," Sustainability, MDPI, vol. 11(24), pages 1-20, December.
    3. Zhuge, Chengxiang & Wei, Binru & Shao, Chunfu & Shan, Yuli & Dong, Chunjiao, 2020. "The role of the license plate lottery policy in the adoption of Electric Vehicles: A case study of Beijing," Energy Policy, Elsevier, vol. 139(C).
    4. 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.

    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. Lehner, Stephan & Peer, Stefanie, 2019. "The price elasticity of parking: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 177-191.
    2. Fullerton & E. Pallarez & Walke, 2015. "Downtown parking meter demand in a border metropolitan economy," Applied Economics, Taylor & Francis Journals, vol. 47(48), pages 5121-5130, October.
    3. Yan, Xiang & Levine, Jonathan & Marans, Robert, 2019. "The effectiveness of parking policies to reduce parking demand pressure and car use," Transport Policy, Elsevier, vol. 73(C), pages 41-50.
    4. Mingdong Sun & Chunfu Shao & Chengxiang Zhuge & Pinxi Wang & Xiong Yang & Shiqi Wang, 2022. "Uncovering travel and charging patterns of private electric vehicles with trajectory data: evidence and policy implications," Transportation, Springer, vol. 49(5), pages 1409-1439, October.
    5. Hu, Dingding & Zhou, Kaile & Li, Fangyi & Ma, Dawei, 2022. "Electric vehicle user classification and value discovery based on charging big data," Energy, Elsevier, vol. 249(C).
    6. Zipeng Zhang & Ning Zhang, 2021. "Early Bird Scheme for Parking Management: How Does Parking Play a Role in the Morning Commute Problem," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    7. Evangelinos, Christos & Staub, Nelly & Marcucci, Edoardo & Gatta, Valerio, 2021. "The impact of airport parking fees on the tourist's airport/airline choice behavior," Journal of Air Transport Management, Elsevier, vol. 90(C).
    8. Ye Yang & Zhongfu Tan, 2019. "Investigating the Influence of Consumer Behavior and Governmental Policy on the Diffusion of Electric Vehicles in Beijing, China," Sustainability, MDPI, vol. 11(24), pages 1-20, December.
    9. Inci, Eren, 2015. "A review of the economics of parking," Economics of Transportation, Elsevier, vol. 4(1), pages 50-63.
    10. Helmus, J.R. & Spoelstra, J.C. & Refa, N. & Lees, M. & van den Hoed, R., 2018. "Assessment of public charging infrastructure push and pull rollout strategies: The case of the Netherlands," Energy Policy, Elsevier, vol. 121(C), pages 35-47.
    11. Wang, Hao & Li, Ruimin & Wang, Xiaokun (Cara) & Shang, Pan, 2020. "Effect of on-street parking pricing policies on parking characteristics: A case study of Nanning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 65-78.
    12. Zhang, Rong & Zhu, Lichao, 2016. "Curbside parking pricing in a city centre using a threshold," Transport Policy, Elsevier, vol. 52(C), pages 16-27.
    13. Baresch, Martin & Moser, Simon, 2019. "Allocation of e-car charging: Assessing the utilization of charging infrastructures by location," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 388-395.
    14. Natascia Andrenacci & Roberto Ragona & Antonino Genovese, 2020. "Evaluation of the Instantaneous Power Demand of an Electric Charging Station in an Urban Scenario," Energies, MDPI, vol. 13(11), pages 1-19, May.
    15. Neaimeh, Myriam & Salisbury, Shawn D. & Hill, Graeme A. & Blythe, Philip T. & Scoffield, Don R. & Francfort, James E., 2017. "Analysing the usage and evidencing the importance of fast chargers for the adoption of battery electric vehicles," Energy Policy, Elsevier, vol. 108(C), pages 474-486.
    16. Stergios Statharas & Yannis Moysoglou & Pelopidas Siskos & Pantelis Capros, 2021. "Simulating the Evolution of Business Models for Electricity Recharging Infrastructure Development by 2030: A Case Study for Greece," Energies, MDPI, vol. 14(9), pages 1-24, April.
    17. Lefeng, Shi & Shengnan, Lv & Chunxiu, Liu & Yue, Zhou & Cipcigan, Liana & Acker, Thomas L., 2020. "A framework for electric vehicle power supply chain development," Utilities Policy, Elsevier, vol. 64(C).
    18. Zhenyu Mei & Chi Feng & Liang Kong & Lihui Zhang & Jun Chen, 2020. "Assessment of Different Parking Pricing Strategies: A Simulation-based Analysis," Sustainability, MDPI, vol. 12(5), pages 1-13, March.
    19. Button, Kenneth, 2006. "The political economy of parking charges in "first" and "second-best" worlds," Transport Policy, Elsevier, vol. 13(6), pages 470-478, November.
    20. Makena Coffman & Paul Bernstein & Sherilyn Wee, 2017. "Electric vehicles revisited: a review of factors that affect adoption," Transport Reviews, Taylor & Francis Journals, vol. 37(1), pages 79-93, January.

    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:jeners:v:12:y:2019:i:16:p:3073-:d:256337. 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.