IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i13p8176-d855330.html
   My bibliography  Save this article

Modeling the Dynamic Exclusive Pedestrian Phase Based on Transportation Equity and Cost Analysis

Author

Listed:
  • Yining Lu

    (School of Naval Architecture Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Tao Wang

    (School of Naval Architecture Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Zhuangzhuang Wang

    (School of Naval Architecture Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Chaoyang Li

    (School of Naval Architecture Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Yi Zhang

    (School of Naval Architecture Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

The exclusive pedestrian phase ( EPP ) has proven to be an effective method of eliminating pedestrian–vehicle conflicts at signalized intersections. The existing EPP setting conditions take traffic efficiency and safety as optimization goals, which may contribute to unfair interactions between vehicles and pedestrians. This study develops a multiobjective optimization framework to determine the EPP setting criteria, with consideration for the tradeoff between transportation equity and cost. In transportation equity modeling and considering environmental conditions, the transportation equity index is proposed to quantify pedestrian–vehicle equity differences. In cost modeling, traffic safety and efficiency factors are converted into monetary values, and the pedestrian–vehicle interaction is introduced. To validate the proposed optimization framework, a video-based data collection is conducted on wet and dry environment conditions at the selected intersection. The parameters in the proposed model are calibrated based on the results of the video analysis. This study compares the performance of the multiobjective evolutionary algorithm based on decomposition (MOEA) and the nondominated sorting genetic algorithm II (NSGA-II) methods in building the sets of nondominated solutions. The optimization results show that the decrease in transportation equity will lead to an increase in cost. The obtained Pareto front approximations correspond to diverse signal timing patterns and achieve a balance between optimizing either objective to different extents. The sensitivity analysis reveals the application domains for the EPP and the traditional two-way control phase ( TWC ) under different vehicular/pedestrian demand, yielding rate, and environment conditions. The EPP control is more suitable at intersections with high pedestrian volumes and low yielding rates, especially in wet conditions. The results provide operational guidelines for decision-makers for properly selecting the pedestrian phase pattern at signalized intersections.

Suggested Citation

  • Yining Lu & Tao Wang & Zhuangzhuang Wang & Chaoyang Li & Yi Zhang, 2022. "Modeling the Dynamic Exclusive Pedestrian Phase Based on Transportation Equity and Cost Analysis," IJERPH, MDPI, vol. 19(13), pages 1-20, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:13:p:8176-:d:855330
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/13/8176/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/13/8176/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Chialin & Achtari, Guyves & Majkut, Kevin & Sheu, Jiuh-Biing, 2017. "Balancing equity and cost in rural transportation management with multi-objective utility analysis and data envelopment analysis: A case of Quinte West," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 148-165.
    2. Yang, Jianguo & Li, Qingfeng & Wang, Zhaoan & Wang, Jinmei, 2005. "Estimating pedestrian delays at signalized intersections in developing cities by Monte Carlo method," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(4), pages 329-337.
    3. Zheng, Yinan & Elefteriadou, Lily, 2017. "A model of pedestrian delay at unsignalized intersections in urban networks," Transportation Research Part B: Methodological, Elsevier, vol. 100(C), pages 138-155.
    4. Wei Cheng & Ning Zhang & Wei Li & Jianfeng Xi, 2014. "Modeling and Application of Pedestrian Safety Conflict Index at Signalized Intersections," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-6, March.
    5. Martens, Karel & Golub, Aaron & Robinson, Glenn, 2012. "A justice-theoretic approach to the distribution of transportation benefits: Implications for transportation planning practice in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 684-695.
    6. Tang, Liying & Liu, Yugang & Li, JiaLi & Qi, Ruiting & Zheng, Shuai & Chen, Bin & Yang, Hongtai, 2020. "Pedestrian crossing design and analysis for symmetric intersections: Efficiency and safety," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 187-206.
    7. Dion, Francois & Rakha, Hesham & Kang, Youn-Soo, 2004. "Comparison of delay estimates at under-saturated and over-saturated pre-timed signalized intersections," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 99-122, February.
    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. Boisjoly, Geneviève & Serra, Bernardo & Oliveira, Gabriel T. & El-Geneidy, Ahmed, 2020. "Accessibility measurements in São Paulo, Rio de Janeiro, Curitiba and Recife, Brazil," Journal of Transport Geography, Elsevier, vol. 82(C).
    2. Xuedong Hua & YinHai Wang & Weijie Yu & Wenbo Zhu & Wei Wang, 2019. "Control Strategy Optimization for Two-Lane Highway Lane-Closure Work Zones," Sustainability, MDPI, vol. 11(17), pages 1-22, August.
    3. Pasha, Obed & Wyczalkowski, Chris & Sohrabian, Dro & Lendel, Iryna, 2020. "Transit effects on poverty, employment, and rent in Cuyahoga County, Ohio," Transport Policy, Elsevier, vol. 88(C), pages 33-41.
    4. Piotr Rosik & Julia Wójcik, 2022. "Transport Infrastructure and Regional Development: A Survey of Literature on Wider Economic and Spatial Impacts," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    5. Braun, Lindsay M. & Rodriguez, Daniel A. & Gordon-Larsen, Penny, 2019. "Social (in)equity in access to cycling infrastructure: Cross-sectional associations between bike lanes and area-level sociodemographic characteristics in 22 large U.S. cities," Journal of Transport Geography, Elsevier, vol. 80(C).
    6. Karner, Alex & Niemeier, Deb, 2013. "Civil rights guidance and equity analysis methods for regional transportation plans: a critical review of literature and practice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 126-134.
    7. Sharareh Kermanshachi & Elnaz Safapour & Apurva Pamidimukkala, 2022. "Study of Design and Construction of Transit Facilities in Rural Areas in USA," Sustainability, MDPI, vol. 14(3), pages 1-16, January.
    8. Kaplan, Sigal & Popoks, Dmitrijs & Prato, Carlo Giacomo & Ceder, Avishai (Avi), 2014. "Using connectivity for measuring equity in transit provision," Journal of Transport Geography, Elsevier, vol. 37(C), pages 82-92.
    9. Krapp, Agustina & Barajas, Jesus & Wennink, Audrey, 2021. "Equity-oriented Criteria for Project Prioritization in Regional Transportation Planning," SocArXiv xcbhy, Center for Open Science.
    10. Golub, Aaron & Robinson, Glenn & Brendan Nee, Brendan Nee, 2013. "Making accessibility analyses accessible: A tool to facilitate the public review of the effects of regional transportation plans on accessibility," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(3), pages 17-28.
    11. Heejoo Son & Jinhyeok Jang & Jihan Park & Akos Balog & Patrick Ballantyne & Heeseo Rain Kwon & Alex Singleton & Jinuk Hwang, 2025. "Leveraging Advanced Technologies for (Smart) Transportation Planning: A Systematic Review," Sustainability, MDPI, vol. 17(5), pages 1-35, March.
    12. Yu, Chunhui & Ma, Wanjing & Yang, Xiaoguang, 2020. "A time-slot based signal scheme model for fixed-time control at isolated intersections," Transportation Research Part B: Methodological, Elsevier, vol. 140(C), pages 176-192.
    13. Legrain, Alexander & Buliung, Ron & El-Geneidy, Ahmed M., 2016. "Travelling fair: Targeting equitable transit by understanding job location, sectorial concentration, and transit use among low-wage workers," Journal of Transport Geography, Elsevier, vol. 53(C), pages 1-11.
    14. Mahmoudi, Reza & Emrouznejad, Ali & Shetab-Boushehri, Seyyed-Nader & Hejazi, Seyed Reza, 2020. "The origins, development and future directions of data envelopment analysis approach in transportation systems," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    15. Yin, Yafeng, 2008. "Robust optimal traffic signal timing," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 911-924, December.
    16. Elisabetta Venezia, 2023. "Cost–Benefit Analysis in High-Speed Railway Projects: Appraisal of Methodological Approaches and an Initial Social Equity Evaluation, A Case Study," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    17. Neutens, Tijs, 2015. "Accessibility, equity and health care: review and research directions for transport geographers," Journal of Transport Geography, Elsevier, vol. 43(C), pages 14-27.
    18. Freiberg, Germán & Giannotti, Mariana & Bittencourt, Taina A., 2024. "Are mass transit projects and public transport planning overlooking uneven distributional effects? Empirical evidence from Sao Paulo, Brazil," Journal of Transport Geography, Elsevier, vol. 116(C).
    19. Karner, Alex & Pereira, Rafael H. M. & Farber, Steven, 2023. "Advances and pitfalls in measuring transportation equity," SocArXiv y246u_v1, Center for Open Science.
    20. Sgibnev, Wladimir & Rekhviashvili, Lela, 2020. "Marschrutkas: Digitalisation, sustainability and mobility justice in a low-tech mobility sector," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 342-352.

    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:gam:jijerp:v:19:y:2022:i:13:p:8176-:d:855330. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.