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Pedestrian crossing design and analysis for symmetric intersections: Efficiency and safety

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Listed:
  • Tang, Liying
  • Liu, Yugang
  • Li, JiaLi
  • Qi, Ruiting
  • Zheng, Shuai
  • Chen, Bin
  • Yang, Hongtai

Abstract

Traffic engineers are making efforts to mitigate congestion and to improve efficiency at intersections. The symmetric intersection (SI) can increase the capacity of intersections and is economical, practical, efficient and convenient. The pedestrians’ crossing patterns tailored for SI has not yet been studied. This paper not only develops three pedestrian crossing patterns but also analyzes crossing patterns from the aspects of efficiency and safety. For efficiency, delay models are proposed by considering through and diagonal pedestrian movements. For safety, exposure conflicts and the number of potential traffic accidents are analyzed. Then delay and potential accidents are converted into money value respectively and the total cost is calculated. The case study results show that SI performs better in terms of increasing capacity and decreasing pedestrian delay compared with conventional intersection. Crossing pattern 1 is efficient but unsafe while the total delay and safety cost of pattern 3 is usually the highest. The sensitivity analysis indicates that cycle length has a negative impact on average pedestrian cost and if critical flow ratio increases, the average pedestrian cost of pattern 1 and pattern 3 will increase and decrease respectively. Furthermore, the best pedestrian pattern choice under different values of cost per accident and cost of pedestrian delay is also studied.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transa:v:142:y:2020:i:c:p:187-206
    DOI: 10.1016/j.tra.2020.10.012
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    References listed on IDEAS

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    1. Li, Qingfeng & Wang, Zhaoan & Yang, Jianguo & Wang, Jinmei, 2005. "Pedestrian delay estimation at signalized intersections in developing cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(1), pages 61-73, January.
    2. Xuan, Yiguang & Daganzo, Carlos F. & Cassidy, Michael J., 2011. "Increasing the capacity of signalized intersections with separate left turn phases," Transportation Research Part B: Methodological, Elsevier, vol. 45(5), pages 769-781, June.
    3. Yu, Chunhui & Sun, Weili & Liu, Henry X. & Yang, Xiaoguang, 2019. "Managing connected and automated vehicles at isolated intersections: From reservation- to optimization-based methods," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 416-435.
    4. Li, Xiang & Sun, Jian-Qiao, 2019. "Intersection multi-objective optimization on signal setting and lane assignment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1233-1246.
    5. Schneider, Robert J. & Diogenes, Mara Chagas & Arnold, Lindsay S. & Attaset, Vanvisa & Griswold, Julia & Ragland, David R, 2010. "Association between Roadway Intersection Characteristics and Pedestrian Crash Risk in Alameda County, California," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0d48w4gz, Institute of Transportation Studies, UC Berkeley.
    6. C K Wong & Yi Liu, 2019. "Optimization of signalized network configurations using the Lane-based method," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-36, June.
    7. Yu, Chunhui & Ma, Wanjing & Lo, Hong K. & Yang, Xiaoguang, 2015. "Optimization of mid-block pedestrian crossing network with discrete demands," Transportation Research Part B: Methodological, Elsevier, vol. 73(C), pages 103-121.
    8. Yan, Chiwei & Jiang, Hai & Xie, Siyang, 2014. "Capacity optimization of an isolated intersection under the phase swap sorting strategy," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 85-106.
    9. Tao Wang & Jing Zhao & Chaoyang Li, 2019. "Pedestrian Delay Model for Continuous Flow Intersections under Three Design Patterns," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-12, January.
    10. Yu, Chunhui & Feng, Yiheng & Liu, Henry X. & Ma, Wanjing & Yang, Xiaoguang, 2018. "Integrated optimization of traffic signals and vehicle trajectories at isolated urban intersections," Transportation Research Part B: Methodological, Elsevier, vol. 112(C), pages 89-112.
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    Cited by:

    1. Piotr Szagala & Andrzej Brzezinski & Mariusz Kiec & Marcin Budzynski & Joanna Wachnicka & Sylwia Pazdan, 2022. "Pedestrian Safety at Midblock Crossings on Dual Carriageway Roads in Polish Cities," Sustainability, MDPI, vol. 14(9), pages 1-13, May.
    2. Maite Adames Torres & Hye Won Oh & Jeongwoo Lee, 2022. "The Built Environment and Children’s Active Commuting to School: A Case Study of San Pedro De Macoris, the Dominican Republic," Land, MDPI, vol. 11(9), pages 1-19, September.
    3. 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.

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