Let's Connect
Follow Us
Watch Us
(+385) 1 2380 262
journal.prometfpz.unizg.hr
Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

Sign In or Register Submit

PDF
PUBLISHED
20.12.2023
DOI
https://doi.org/10.7307/ptt.v35i6.291
ISSUE
2023 (Vol 35), Issue 6
LICENSE
Copyright (c) 2024 Jelena SIMIĆEVIĆ, Nataša VIDOVIĆ, Vladimir ĐORIĆ
Creative Commons 4.0 logo
This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Ordinal Regression Model of Parking Search Time

Authors:Jelena SIMIĆEVIĆ, Nataša VIDOVIĆ, Vladimir ĐORIĆ

Abstract

Parking search reduces the quality of parking service, as well as traffic network level of service, due to additionally generated traffic. Parking search also entails other negative effects, primarily ecological, social and economic. Even though the importance of this problem has been noted in the past, there is an impression that this issue has not been sufficiently researched and should be additionally analysed in order to properly understand this phenomenon. Therefore, the aim of this paper is to study the factors affecting parking search time that can be influenced through a set of parking management measures. In this paper, an ordinal regression model was developed to estimate these parameters and it was fitted using empirical data collected by interviewing drivers. Main model results show that parking occupancy has the highest impact upon the value of parking search time, indicating the significance of defining proper policies and measures aimed at reaching targeted parking occupancy. Parking frequency is the second parameter observed to be significant, demonstrating the importance of implementing proper parking information systems.

Keywords:parking search, parking policy, ordinal regression model

References

  1. [1] Gantelet E, Lefauconnier A. The time looking for a parking space: Strategies, associated nuisances and stakes of parking management in France. Association for European Transport and Contributors. SARECO research report, 2006.
  2. [2] Shoup DC. High cost of free parking. APA Planner Press; 2005.
  3. [3] Simićević J, Momčilović V, Milosavljević N. Parking management as a means of decreasing air pollution in cities. Transport Research Arena (TRA) Conference 2018. 2018;6(1). DOI: 10.5281/zenodo.1456434.
  4. [4] Shoup DC. Cruising for parking. Transport Policy. 2006;13(6):479-486. DOI: 10.1016/j.tranpol.2006.05.005.
  5. [5] Lee J, Agdas D, Baker D. Cruising for parking: New empirical evidence and influential factors on cruising time. Journal of Transport and Land Use. 2017;10(1):931-943. DOI: 10.5198/jtlu.2017.1142.
  6. [6] Simićević J, Milosavljević N, Maletić, G. Influence of parking price on parking garage users’ behaviour. Promet – Traffic&Transportation. 2012;24(5):413-423. DOI: 10.7307/ptt.v24i5.1177.
  7. [7] Schaller Consulting. Curbing Cars: Shopping, parking and pedestrian space in SoHo. 2006. https://www.transalt.org/sites/default/files/news/reports/2006/soho_curbing_cars.pdf.
  8. [8] Van Ommeren JN, Wentink D, Rietveld P. Empirical evidence on cruising for parking. Transportation Research Part A: Policy and Practice. 2012;46(1):123-130. DOI: 10.1016/j.tra.2011.09.011.
  9. [9] Transportation Alternatives. No vacancy: Park slope’s parking problem and how to fix it. https://onestreet.org/documents/Park_Slopes_Parking_Problem.pdf [Accessed 18th Dec. 2022].
  10. [10] Transportation Alternatives. Driven to Excess: What under-priced curbside parking costs the Upper West Side. 2008. https://static1.squarespace.com/static/5cab9d9b65a707a9b36f4b6c/t/6397970f9403e668a9ebeb10/1670878992918/Driven_to_Excess.pdf [Accessed 18th Dec. 2022].
  11. [11] Alemi F, Rodier C, Drake C. 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. 2018;111:187-198. DOI: 10.1016/j.tra.2018.03.007.
  12. [12] Simićević J, Milosavljević N, Djoric V. Gender differences in travel behaviour and willingness to adopt sustainable behaviour. Transportation Planning and Technology. 2016;39(5):527-537. DOI: 10.1080/03081060.2016.1174367.
  13. [13] Ruh M. Managed parking reduces congestion. Parking Trend International. 2017;1:42-3.
  14. [14] Van der Waerden P, Timmermans H, van Hove L. GPS Data and car drivers’ parking search behavior in the city of Turnhout, Belgium. Geoinformatics for Intelligent Transportation. 2015;247-256. DOI: 10.1007/978-3-319-11463-7_18.
  15. [15] Brooke S, Ison S, Quddus M. Analysing parking search ('cruising') time using generalised multilevel structural equation modelling. Journal of Transport Economics and Policy (JTEP). 2018;52(3):202-220.
  16. [16] Hampshire RC, Shoup D. What share of traffic is cruising for parking?. Journal of Transport Economics and Policy (JTEP). 2018;52(3):184-201.
  17. [17] Jones M, et al. Parkus 2.0: Automated cruise detection for parking availability inference. Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. 2017. p. 242-251. DOI: 10.1145/3144457.3144495.
  18. [18] Yan X, Levine J, Marans R. The effectiveness of parking policies to reduce parking demand pressure and car use. Transport Policy. 2019;73:41-50. DOI: 10.1016/j.tranpol.2018.10.009.
  19. [19] Zhu Y, et al. Impact of cruising for parking on travel time of traffic flow. Sustainability. 2020;12(8):3079. DOI: 10.3390/su12083079.
  20. [20] Weinberger RR, Millard-Ball A, Hampshire RC. Parking search caused congestion: Where’s all the fuss?. Transportation Research Part C: Emerging Technologies. 2020;120:102781. DOI: 10.1016/j.trc.2020.102781.
  21. [21] Brooke S, Ison S, Quddus M. On-street parking search: Review and future research direction. Transportation Research Record. 2014;2469(1):65-75. DOI: 10.3141/2469-08.
  22. [22] Gur YJ, Beimborn EA. Analysis of parking in urban centres: Equilibrium assignment approach. Transportation Research Record. 1984;957:55-62.
  23. [23] Bradley MA. User's manual for the CLAMP town centre parking simulation model. Working Paper 336. University of Oxford, Transport Studies Unit; 1986.
  24. [24] Arnott R, de Palma A, Lindsey R. A temporal and spatial equilibrium analysis of commuter parking. Journal of Public Economics. 1991;45(3):301-335. DOI: 10.1016/0047-2727(91)90030-6.
  25. [25] Pierce G, Shoup D. Getting the prices right: An evaluation of pricing parking by demand in San Francisco. Journal of the American Planning Association. 2013;79(1):67-81. DOI: 10.1080/01944363.2013.787307.
  26. [26] Van Ommeren J, Russo G. Time-varying parking prices. Economics of Transportation. 2014;3(2):166-174. DOI: 10.1016/j.ecotra.2014.05.001.
  27. [27] Arnott R, Inci E, Rowse J. Downtown curbside parking capacity. Journal of Urban Economics. 2015;86:83-97. DOI: 10.1016/j.jue.2014.12.005.
  28. [28] Brooke S. Factors influencing urban on-street parking search time using a multilevel modelling approach. PhD thesis. Loughborough University; 2016.
  29. [29] Assemi B, Baker D, Paz A. Searching for on-street parking: An empirical investigation of the factors influencing cruise time. Transport Policy. 2020;97:186-196. DOI: 10.1016/j.tranpol.2020.07.020.
  30. [30] Qin H, et al. Analysis of parking cruising behaviour and parking location choice. Transportation Planning and Technology. 2020;43(7):717-734. DOI: 10.1080/03081060.2020.1805545.
  31. [31] Statistical Office of the Republic of Serbia. Census of population, households and dwellings, Republic of Serbia. [Popis stanovništva, domaćinstava i stanova, Republika Srbija]. 2011. https://www.stat.gov.rs/sr-latn/oblasti/popis/popis-2011/popisni-podaci-eksel-tabele/ [Accessed 15th Dec. 2022].
  32. [32] Đorić V, et al. Valjevo sustainable urban mobility plan. [Plan održive urbane mobilnosti Valjeva]. 2018. https://valjevo.rs/Dokumenta/GradValjevo/Strateski_plan_POUM_Valjeva.pdf [Accessed 13th Dec. 2022].
  33. [33] Model 5. Traffic Study for technical regulation of traffic on the territory of the City of Valjevo, included in the General Urban Plan. [Saobraćajna studija tehničkog regulisanja saobraćaja na teritoriji grada Valjeva koja je obuhvaćena Generalnim urbanističkim planom]. 2013.
  34. [34] Guo L, Huang S, Sadek AW. A novel agent-based transportation model of a university campus with application to quantifying the environmental cost of parking search. Transportation Research Part A: Policy and Practice. 2013;50:86-104. DOI: 10.1016/j.tra.2013.01.045.
  35. [35] Teng H, Qi Y, Yi P. Parking search time and information identification for off-street spaces in New York City. Transportation Research Record. 2002;1800(1):44-52. DOI: 10.3141/1800-06.
  36. [36] Qian ZS, Rajagopal R. Optimal occupancy-driven parking pricing under demand uncertainties and traveler heterogeneity: A stochastic control approach. Transportation Research Part B: Methodological. 2014;67:144-165. DOI: 10.1016/j.trb.2014.03.002.
  37. [37] Pantić M, Đorić V. Analysis of sustainable urban mobility plans. [Analiza planova održive urbane mobilnosti]. Tehnika. 2016;71(6):878-885. DOI: 10.5937/tehnika1606878P.
Show more

SPECIAL ISSUE CALL

Innovation and New Technologies in Transport and Logistics

Guest Editor: Eleonora Papadimitriou, PhD

Editors: Dario Babić, PhD; Marko Matulin, PhD; Marko Ševrović, PhD.

RECENT PAPERS

Browse through the selection of our recent research
College Students’ Cognition and Attitude Towards Connected and Autonomous Vehicles in China: an Exploratory StudyA Deep Learning Approach for Enhanced Real-Time Prediction of Winter Road Surface Temperatures in High-Altitude Mountain AreasImplications of Retrograde Behaviours on Visual and Cycling Behaviour of Normal CyclistsOptimising the Economic Feasibility of High-Speed Maglev Systems: A Simulation-Based Approach for Variable and Parameter Analysis

Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal