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Impact of hourly parking pricing on travel demand

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  • Nourinejad, Mehdi
  • Roorda, Matthew J.

Abstract

Efficient parking management strategies are vital in central business districts of cities where parking is limited and congestion is intense. Hourly parking pricing is a common parking management strategy where vehicles pay based on their parking duration (dwell time). In this paper, we derive comparative static effects for a small network to show that road pricing and hourly parking pricing are structurally different in how they influence the traffic equilibrium with elastic demand. Whereas road pricing strictly reduces demand, hourly parking pricing can reduce or induce demand depending on the parking dwell time elasticity (to the hourly parking price). When dwell time is elastic, demand always increases with parking price. However, when dwell time is inelastic, demand may increase or decrease with the parking price. Hence, hourly parking pricing can actually cause higher congestion and decay social welfare if imposed imprudently. For larger networks, we present a Variational Inequality model that characterizes the emergent equilibrium. Numerical experiments on a large network validate our analytical findings from a smaller and stylized case study. Our results also show a lower standard deviation in the parking search time (i.e., time to find a parking spot) when dwell time is highly elastic to the hourly parking price.

Suggested Citation

  • Nourinejad, Mehdi & Roorda, Matthew J., 2017. "Impact of hourly parking pricing on travel demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 28-45.
  • Handle: RePEc:eee:transa:v:98:y:2017:i:c:p:28-45
    DOI: 10.1016/j.tra.2017.01.023
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    References listed on IDEAS

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    Cited by:

    1. Odolinski, Kristofer & Pyddoke, Roger, 2019. "Price elasticities of demand for (garage) parking in Stockholm," Working papers in Transport Economics 2019:2, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    2. Kuldeep Kavta & Arkopal K. Goswami, 2021. "A methodological framework for a priori selection of travel demand management package using fuzzy MCDM methods," Transportation, Springer, vol. 48(6), pages 3059-3084, December.
    3. Xavier Boulet & Mahdi Zargayouna & Gérard Scemama & Fabien Leurent, 2021. "A Middleware-Based Approach for Multi-Scale Mobility Simulation," Future Internet, MDPI, vol. 13(2), pages 1-21, January.
    4. 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.
    5. Woojung Kim & Xiaokun (Cara) Wang, 2022. "Double parking in New York city: a comparison between commercial vehicles and passenger vehicles," Transportation, Springer, vol. 49(5), pages 1315-1337, October.
    6. 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).
    7. 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.
    8. Chai, Huajun & Rodier, Caroline J. & Song, Jeffery W. & Zhang, Michael H. & Jaller, Miguel, 2023. "The impacts of automated vehicles on Center city parking," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    9. Asplund, Disa & Pyddoke, Roger, 2021. "Optimal pricing of car use in a small city: A case study of Uppsala," Transport Policy, Elsevier, vol. 114(C), pages 88-103.
    10. Zhang, Xiang & Liu, Wei & Waller, S. Travis & Yin, Yafeng, 2019. "Modelling and managing the integrated morning-evening commuting and parking patterns under the fully autonomous vehicle environment," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 380-407.
    11. 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.
    12. 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.
    13. Eliasson, Jonas & Börjesson, Maria, 2022. "Costs and benefits of parking charges in residential areas," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 95-109.
    14. 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.
    15. Dave, Sanjaykumar M. & Joshi, Gaurang J. & Ravinder, Kayitha & Gore, Ninad, 2019. "Data monitoring for the assessment of on-street parking demand in CBD areas of developing countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 152-171.
    16. 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.
    17. Najmi, Ali & Bostanara, Maryam & Gu, Ziyuan & Rashidi, Taha H., 2021. "On-street parking management and pricing policies: An evaluation from a system enhancement perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 128-151.

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