IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v52y2025i4d10.1007_s11116-023-10455-4.html
   My bibliography  Save this article

Prediction framework for parking search cruising time and emissions in dense urban areas

Author

Listed:
  • Runhua Ivan Xiao

    (University of California)

  • Miguel Jaller

    (Sustainable Freight Research Program, University of California)

Abstract

The growing need for temporary pickups/drop-offs and commercial deliveries is crowding out the already inadequate on-street parking spaces designated for car trips, deteriorating the phenomenon of parking search. This paper: (1) uses empirical data and conducts descriptive and comparative analysis using a spatial lag model to analyze the factors influencing average cruising time (ACT) related to parking search, and (2) proposes a novel framework to predict grid-based ACT and to estimate average emission metrics (AEM). The study inputs an aggregated GPS dataset in a 6-month period to the framework and uses New York City and Los Angeles as case study cities. The descriptive and comparative analysis results support the spatial spillover effect of parking search and reveal that residential area, retail area, accommodation, and food services (hotels, restaurants, bars, etc.) employees are the most significant influencing factors on ACT and that temporary pickups/drop-offs and commercial delivery are also unneglectable sources of parking search. The prediction results show a concentrated distribution of ACT in New York City due to private vehicles’ spillover of parking searches. Los Angeles exhibits a relatively high degree of overlap between parking hotspots and emission blackspots, particularly in areas with intense truck activity, further substantiating the close relationship between truck activities and elevated emissions. Following the key findings, the paper proposes several policy recommendations. In practice, this prediction framework can ingest short-term data to provide ACT prediction maps to identify parking hotspots and emission blackspots.

Suggested Citation

  • Runhua Ivan Xiao & Miguel Jaller, 2025. "Prediction framework for parking search cruising time and emissions in dense urban areas," Transportation, Springer, vol. 52(4), pages 1289-1317, August.
    • Handle: RePEc:kap:transp:v:52:y:2025:i:4:d:10.1007_s11116-023-10455-4
    DOI: 10.1007/s11116-023-10455-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-023-10455-4
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11116-023-10455-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shoup, Donald C., 2006. "Cruising for parking," Transport Policy, Elsevier, vol. 13(6), pages 479-486, November.
    2. Jaller, Miguel & Rodier, Caroline & Zhang, Michael & Lin, Huachao & Lewis, Kathryn, 2021. "Fighting for Curb Space: Parking, Ride-Hailing, Urban Freight Deliveries, and Other Users," Institute of Transportation Studies, Working Paper Series qt3jn371hw, Institute of Transportation Studies, UC Davis.
    3. Eren Inci & Jos van Ommeren & Martijn Kobus, 2017. "The external cruising costs of parking," Journal of Economic Geography, Oxford University Press, vol. 17(6), pages 1301-1323.
    4. Millard-Ball, Adam & Hampshire, Robert C. & Weinberger, Rachel, 2020. "Parking behaviour: The curious lack of cruising for parking in San Francisco," Land Use Policy, Elsevier, vol. 91(C).
    5. Shoup, Donald C., 2006. "Cruising for Parking," University of California Transportation Center, Working Papers qt55s7079f, University of California Transportation Center.
    6. Assemi, Behrang & Baker, Douglas & Paz, Alexander, 2020. "Searching for on-street parking: An empirical investigation of the factors influencing cruise time," Transport Policy, Elsevier, vol. 97(C), pages 186-196.
    7. Sharma, Sushant & Kang, Dong Hun & Montes de Oca, Jose Rivera & Mudgal, Abhisek, 2021. "Machine learning methods for commercial vehicle wait time prediction at a border crossing," Research in Transportation Economics, Elsevier, vol. 89(C).
    8. Chen, Quanquan & Conway, Alison & Cheng, Jialei, 2017. "Parking for residential delivery in New York City: Regulations and behavior," Transport Policy, Elsevier, vol. 54(C), pages 53-60.
    9. Inci, Eren, 2015. "A review of the economics of parking," Economics of Transportation, Elsevier, vol. 4(1), pages 50-63.
    Full references (including those not matched with items on IDEAS)

    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. Tscharaktschiew, Stefan & Reimann, Felix, 2021. "On employer-paid parking and parking (cash-out) policy: A formal synthesis of different perspectives," Transport Policy, Elsevier, vol. 110(C), pages 499-516.
    2. 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.
    3. 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).
    4. Olus Inan, Murat & Inci, Eren & Robin Lindsey, C., 2019. "Spillover parking," Transportation Research Part B: Methodological, Elsevier, vol. 125(C), pages 197-228.
    5. Maas, Alexander & Watson, Philip, 2018. "Enthusiasm curbed: Home value implications of curbside parking rights," Land Use Policy, Elsevier, vol. 77(C), pages 705-711.
    6. Dalla Chiara, Giacomo & Goodchild, Anne, 2020. "Do commercial vehicles cruise for parking? Empirical evidence from Seattle," Transport Policy, Elsevier, vol. 97(C), pages 26-36.
    7. 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.
    8. Ding, Yanyan & Jian, Sisi, 2022. "Strategic collaboration between land owners and charging station operators: Lease or outsource?," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 183-211.
    9. 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).
    10. 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).
    11. Ling-Ling Xiao & Tian-Liang Liu & Hai-Jun Huang, 2021. "Tradable permit schemes for managing morning commute with carpool under parking space constraint," Transportation, Springer, vol. 48(4), pages 1563-1586, August.
    12. Tao, Tao & Qian, Sean, 2024. "Do Smart Loading Zones help reduce traffic congestion? A causal analysis in Pittsburgh," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
    13. 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.
    14. Feng, Jianghong & Xu, Su Xiu & Xu, Gangyan & Cheng, Huibing, 2022. "An integrated decision-making method for locating parking centers of recyclable waste transportation vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    15. Inci, Eren & Lindsey, Robin, 2015. "Garage and curbside parking competition with search congestion," Regional Science and Urban Economics, Elsevier, vol. 54(C), pages 49-59.
    16. Wei Wu & Wei Liu & Fangni Zhang & Vinayak Dixit, 2021. "A New Flexible Parking Reservation Scheme for the Morning Commute under Limited Parking Supplies," Networks and Spatial Economics, Springer, vol. 21(3), pages 513-545, September.
    17. Wei Wang & Yuwei Zhou & Jianbin Liu & Baofeng Sun, 2022. "On-Street Cruising for Parking Model in Consideration with Gaming Elements and Its Impact Analysis," Mathematics, MDPI, vol. 10(19), pages 1-17, September.
    18. Tscharaktschiew, Stefan & Reimann, Felix, 2023. "The economics of speed choice and control in the presence of driverless vehicle cruising and parking-as-a-substitute-for-cruising," Transportation Research Part B: Methodological, Elsevier, vol. 178(C).
    19. Gu, Ziyuan & Li, Yifan & Saberi, Meead & Rashidi, Taha H. & Liu, Zhiyuan, 2023. "Macroscopic parking dynamics and equitable pricing: Integrating trip-based modeling with simulation-based robust optimization," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 354-381.
    20. Krishnamurthy, Chandra Kiran B. & Ngo, Nicole S., 2020. "The effects of smart-parking on transit and traffic: Evidence from SFpark," Journal of Environmental Economics and Management, Elsevier, vol. 99(C).

    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:kap:transp:v:52:y:2025:i:4:d:10.1007_s11116-023-10455-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.