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Microscopic Simulating the Impact of Cruising for Parking on Traffic Efficiency and Emission with Parking-and-Visit Test Data

Author

Listed:
  • Xinliu Sui

    (Faculty of Maritime and Transportation, Ningbo University, Fenghua Road 818#, Ningbo 315211, China)

  • Xiaofei Ye

    (Faculty of Maritime and Transportation, Ningbo University, Fenghua Road 818#, Ningbo 315211, China)

  • Tao Wang

    (School of Architecture and Transportation, Guilin University of Electronic Technology, Lingjinji Road 1#, Guilin 541004, China)

  • Xingchen Yan

    (College of Automobile and Traffic Engineering, Nanjing Forestry University, Longpan Road 159#, Nanjing 210037, China)

  • Jun Chen

    (School of Transportation, Southeast University, Si Pai Lou 2#, Nanjing 210096, China)

  • Bin Ran

    (Department of Civil and Environmental Engineering, University of Wisconsin–Madison, 1415 Engineering Drive, Madison, WI 53706, USA)

Abstract

Cruising for parking creates a moving queue of cars that are waiting for vacated parking spaces, but no one can see how many cruisers are in the queue because they are mixed with normal cars. In order to mitigate the influence of cruising for parking on normal cars, the simulation framework based on VISSIM was proposed for reproducing the cruising vehicles and normal traffic flows. The car-following model of cruising vehicles was calibrated by the GPS and video data. The scenarios under different cruising ratios were analyzed to evaluate the influence of cruising for parking on traffic efficiency and emissions. Finally, the layout optimization changing the parking locations and positions of entrance-exit gates were discussed to mitigate the negative effect. The results indicated that cruising for parking deteriorates the traffic congestion and emissions on the road sections, intersections and network. The closer distances the intersections and sections are to the parking lot, the greater the negative impact is. But the negative effect after the 30% proportion on traffic performance only illustrates the slight deterioration, because the carrying capacity of the network is reached. The research results provide a quantitative method for the hidden contribution of cruising for parking on traffic congestion and emissions.

Suggested Citation

  • Xinliu Sui & Xiaofei Ye & Tao Wang & Xingchen Yan & Jun Chen & Bin Ran, 2022. "Microscopic Simulating the Impact of Cruising for Parking on Traffic Efficiency and Emission with Parking-and-Visit Test Data," IJERPH, MDPI, vol. 19(15), pages 1-26, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9127-:d:872240
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    References listed on IDEAS

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    1. 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.
    2. van Ommeren, Jos & Russo, Giovanni, 2014. "Time-varying parking prices," Economics of Transportation, Elsevier, vol. 3(2), pages 166-174.
    3. Shoup, Donald, 2013. "THE ACCESS ALMANAC: On-Street Parking Management v. Off-Street Parking Requirements," University of California Transportation Center, Working Papers qt3xj0q23z, University of California Transportation Center.
    4. Arnott, Richard & Williams, Parker, 2017. "Cruising for parking around a circle," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 357-375.
    5. Arnott, Richard & Inci, Eren, 2006. "An integrated model of downtown parking and traffic congestion," Journal of Urban Economics, Elsevier, vol. 60(3), pages 418-442, November.
    6. Shoup, Donald C., 2006. "Cruising for Parking," University of California Transportation Center, Working Papers qt55s7079f, University of California Transportation Center.
    7. Michael W. Levin & Stephen D. Boyles, 2020. "Optimal Guidance Algorithms for Parking Search with Reservations," Networks and Spatial Economics, Springer, vol. 20(1), pages 19-45, March.
    8. Arnott, Richard, 2014. "On the optimal target curbside parking occupancy rate," Economics of Transportation, Elsevier, vol. 3(2), pages 133-144.
    9. Shoup, Donald C., 2006. "Cruising for parking," Transport Policy, Elsevier, vol. 13(6), pages 479-486, November.
    10. 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.
    11. Geroliminis, Nikolas, 2015. "Cruising-for-parking in congested cities with an MFD representation," Economics of Transportation, Elsevier, vol. 4(3), pages 156-165.
    12. Kiefer, Nicholas M, 1988. "Economic Duration Data and Hazard Functions," Journal of Economic Literature, American Economic Association, vol. 26(2), pages 646-679, June.
    13. Huanmei Qin & Xiuhan Yang & Yao-Jan Wu & Hongzhi Guan & Pengfei Wang & Nasrin Shahinpoor, 2020. "Analysis of parking cruising behaviour and parking location choice," Transportation Planning and Technology, Taylor & Francis Journals, vol. 43(7), pages 717-734, October.
    14. van Ommeren, Jos & McIvor, Michael & Mulalic, Ismir & Inci, Eren, 2021. "A novel methodology to estimate cruising for parking and related external costs," Transportation Research Part B: Methodological, Elsevier, vol. 145(C), pages 247-269.
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