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A Comprehensive Model to Study the Dynamic Accessibility of the Park & Ride System

Author

Listed:
  • Jairo Ortega

    (Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • János Tóth

    (Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Tamás Péter

    (Department of Control for Transportation and Vehicle Systems, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

Abstract

A Park and Ride (P&R) system is an intermodal point where private vehicle users transfer to public transport to make a combined trip. Several researchers have measured the static accessibility of the P&R system. However, studying dynamic accessibility leads to a comprehensive model consisting of a series of elements and steps that allow for travel time analysis in various traffic conditions. Therefore, the purpose of this article is to develop an integrated model that provides a set of procedures which determine the travel origin points of the P&R system, calculate the trips in different traffic conditions (in this article, the results are shown in three scenarios: no traffic (NT), low traffic (LT), and heavy traffic (HT)), and include a hot spot analysis and correlation in order to finally be able to display the dynamic accessibility using geospatial software. The result shows that the accessibility of the P&R system varies depending on the traffic volume and the variation of the accessibility in the different areas that conform to the urban environment. In conclusion, the integrated model helps users decide on the best time to travel to the P&R system, allows transport planners to develop strategies to make the system more functional, and gives an excellent opportunity to develop a travel information system.

Suggested Citation

  • Jairo Ortega & János Tóth & Tamás Péter, 2021. "A Comprehensive Model to Study the Dynamic Accessibility of the Park & Ride System," Sustainability, MDPI, vol. 13(7), pages 1-17, April.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:4064-:d:530885
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    References listed on IDEAS

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    1. Parkhurst, Graham, 1995. "Park and ride: Could it lead to an increase in car traffic?," Transport Policy, Elsevier, vol. 2(1), pages 15-23, January.
    2. Du, Bo & Wang, David Z.W., 2014. "Continuum modeling of park-and-ride services considering travel time reliability and heterogeneous commuters – A linear complementarity system approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 58-81.
    3. Liu, Tian-Liang & Huang, Hai-Jun & Yang, Hai & Zhang, Xiaoning, 2009. "Continuum modeling of park-and-ride services in a linear monocentric city with deterministic mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 43(6), pages 692-707, July.
    4. Bimpou, Konstantina & Ferguson, Neil S., 2020. "Dynamic accessibility: Incorporating day-to-day travel time reliability into accessibility measurement," Journal of Transport Geography, Elsevier, vol. 89(C).
    5. Li, Qingquan & Zhang, Tong & Wang, Handong & Zeng, Zhe, 2011. "Dynamic accessibility mapping using floating car data: a network-constrained density estimation approach," Journal of Transport Geography, Elsevier, vol. 19(3), pages 379-393.
    6. Jin Han Park & Dong Kun Lee & Chan Park & Ho Gul Kim & Tae Yong Jung & Songyi Kim, 2017. "Park Accessibility Impacts Housing Prices in Seoul," Sustainability, MDPI, vol. 9(2), pages 1-14, January.
    7. Fayyaz, S. Kiavash & Liu, Xiaoyue Cathy & Porter, Richard J., 2017. "Dynamic transit accessibility and transit gap causality analysis," Journal of Transport Geography, Elsevier, vol. 59(C), pages 27-39.
    8. Wang, Judith Y. T. & Yang, Hai & Lindsey, Robin, 2004. "Locating and pricing park-and-ride facilities in a linear monocentric city with deterministic mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 38(8), pages 709-731, September.
    9. Thomas Straatemeier & Luca Bertolini, 2020. "How can planning for accessibility lead to more integrated transport and land-use strategies? Two examples from the Netherlands," European Planning Studies, Taylor & Francis Journals, vol. 28(9), pages 1713-1734, September.
    10. Shixiong Jiang & Wei Guan & Zhengbing He & Liu Yang, 2018. "Measuring Taxi Accessibility Using Grid-Based Method with Trajectory Data," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    11. Duncan, Michael & Christensen, Robert K., 2013. "An analysis of park-and-ride provision at light rail stations across the US," Transport Policy, Elsevier, vol. 25(C), pages 148-157.
    12. Itzhak Benenson & Karel Martens & Yodan Rofé & Ariela Kwartler, 2011. "Public transport versus private car GIS-based estimation of accessibility applied to the Tel Aviv metropolitan area," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(3), pages 499-515, December.
    13. García-Albertos, Pedro & Picornell, Miguel & Salas-Olmedo, María Henar & Gutiérrez, Javier, 2019. "Exploring the potential of mobile phone records and online route planners for dynamic accessibility analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 294-307.
    14. Zhiyuan Liu & Qiang Meng, 2014. "Bus-based park-and-ride system: a stochastic model on multimodal network with congestion pricing schemes," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(5), pages 994-1006, May.
    15. Lin, Ting (Grace) & Xia, Jianhong (Cecilia) & Robinson, Todd P. & Goulias, Konstadinos G. & Church, Richard L. & Olaru, Doina & Tapin, John & Han, Renlong, 2014. "Spatial analysis of access to and accessibility surrounding train stations: a case study of accessibility for the elderly in Perth, Western Australia," Journal of Transport Geography, Elsevier, vol. 39(C), pages 111-120.
    16. Zhiyuan Huang & Ruihua Xu & Wei (David) Fan & Feng Zhou & Wei Liu, 2019. "Service-Oriented Load Balancing Approach to Alleviating Peak-Hour Congestion in a Metro Network Based on Multi-Path Accessibility," Sustainability, MDPI, vol. 11(5), pages 1-16, March.
    17. Xia, Nan & Cheng, Liang & Chen, Song & Wei, XiaoYan & Zong, WenWen & Li, ManChun, 2018. "Accessibility based on Gravity-Radiation model and Google Maps API: A case study in Australia," Journal of Transport Geography, Elsevier, vol. 72(C), pages 178-190.
    18. Mavoa, Suzanne & Witten, Karen & McCreanor, Tim & O’Sullivan, David, 2012. "GIS based destination accessibility via public transit and walking in Auckland, New Zealand," Journal of Transport Geography, Elsevier, vol. 20(1), pages 15-22.
    19. Jairo Ortega & Sarbast Moslem & János Tóth & Tamás Péter & Juan Palaguachi & Mario Paguay, 2020. "Using Best Worst Method for Sustainable Park and Ride Facility Location," Sustainability, MDPI, vol. 12(23), pages 1-18, December.
    20. Salonen, Maria & Toivonen, Tuuli, 2013. "Modelling travel time in urban networks: comparable measures for private car and public transport," Journal of Transport Geography, Elsevier, vol. 31(C), pages 143-153.
    21. Joana Cavadas & António Pais Antunes, 2019. "An optimization model for integrated transit-parking policy planning," Transportation, Springer, vol. 46(5), pages 1867-1891, October.
    22. Martínez Sánchez-Mateos, Héctor S. & Givoni, Moshe, 2012. "The accessibility impact of a new High-Speed Rail line in the UK – a preliminary analysis of winners and losers," Journal of Transport Geography, Elsevier, vol. 25(C), pages 105-114.
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