Traffic conflict analysis of slow-moving shared paths adjacent to bus stops

MIAO Lingyi; DENG Yuanchang; LIU Feifei

doi:10.13471/j.cnki.acta.snus.ZR20250043

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Traffic conflict analysis of slow-moving shared paths adjacent to bus stops

Research articles | 更新时间：2025-11-14

- Traffic conflict analysis of slow-moving shared paths adjacent to bus stops
- Acta Scientiarum Naturalium Universitatis Sunyatseni Vol. 64, Issue 5, Pages: 68-75(2025)
- 作者机构：
  
  广东省智能交通系统重点实验室 / 中山大学智能工程学院，广东深圳 518107
- 作者简介：
- 基金信息：
- DOI：10.13471/j.cnki.acta.snus.ZR20250043
  CLC： X951;U491
- Received：06 March 2025，
  
  Accepted：31 March 2025，
  
  Published Online：05 June 2025，
  
  Published：25 September 2025
- 稿件说明：
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缪灵一,邓院昌,刘菲菲.公交站台邻近慢行共享路段交通冲突分析[J].中山大学学报(自然科学版)(中英文),2025,64(05):68-75.

MIAO Lingyi,DENG Yuanchang,LIU Feifei.Traffic conflict analysis of slow-moving shared paths adjacent to bus stops[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2025,64(05):68-75.
缪灵一,邓院昌,刘菲菲.公交站台邻近慢行共享路段交通冲突分析[J].中山大学学报(自然科学版)(中英文),2025,64(05):68-75. DOI： 10.13471/j.cnki.acta.snus.ZR20250043.

MIAO Lingyi,DENG Yuanchang,LIU Feifei.Traffic conflict analysis of slow-moving shared paths adjacent to bus stops[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2025,64(05):68-75. DOI： 10.13471/j.cnki.acta.snus.ZR20250043.

摘要

为了探究城市公交站台邻近慢行共享路段中影响乘客与非机动车冲突严重程度的关键因素，采用最小预计后侵入时间、避险减速度和横摆率作为冲突判别指标，通过K-means聚类算法将冲突按严重程度进行分类。从冲突特征、乘客特征、非机动车特征和道路环境4个方面考虑19个特征变量，并构建多元有序Logistic模型，以分析各显著影响因素对冲突严重程度的具体影响。研究结果表明：特征变量冲突所在路段区域、穿行道路行为、候车乘客占道数量、前往停车点停车行为、加装遮阳伞/挡风被情况、非机动车密度、人非隔离设施布置和公交站台出入口违规停放非机动车情况是冲突严重程度的关键影响因素。

Abstract

To investigate the key factors influencing the severity of conflict between passengers and non-motor vehicles on slow-moving shared paths adjacent to bus stops， minimum forecast post-encroachment time， deceleration rate to avoid crashes， and yaw rate are used as conflict evaluation indicators are used as conflict evaluation indicators， and the conflicts are classified by severity through the K-means clustering algorithm. 19 explanatory variables were considered in terms of conflict features， passenger， non-motor vehicle and road environment. A multivariate ordinal logistic model is constructed to analyze the significant variables on the severity of conflict. The results show that the road section， road crossing behavior， the number of waiting passengers occupying the road， parking behavior， sunshade installation， the density of non-motor vehicle， the arrangement of pedestrian/non-motor vehicle segregation facilities， and illegal parking at the entrance/exit of bus stop， are the important influencing factors on the severity of the conflict.

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references

常玉林，吴照允，孙超，等， 2021 . 无信控人行横道多类型冲突严重程度模型［J］. 交通运输系统工程与信息， 22 （ 5 ）： 205 - 214 .

董春娇，薛维洋，谢坤，等， 2021 . 电动自行车不安全骑行决策行为建模［J］. 北京交通大学学报， 45 （ 1 ）： 105 - 110 .

裴玉龙，杜小敏，沈威宇， 2024 . 基于Ordered Probit模型的人车冲突安全影响因素研究［J］. 中国安全生产科学技术， 20 （ 3 ）： 181 - 187 .

沈金星，赵聪， 2023 . 路侧直线式公交站台对非机动车行驶安全的影响［J］. 安全与环境学报， 23 （ 6 ）： 1908 - 1915 .

王正同，吴奇峰，刘洋， 2024 . “绿色出行”目标导向下交通规划设计的创新与探索［J］. 公路， 69 （ 3 ）： 326 - 332 .

魏中华，马厚强，王铭乾，等， 2024 . 公交站点区域行人与非机动车交互行为建模与仿真［J］. 科学技术与工程， 24 （ 1 ）： 397 - 407 .

BAS J ， AL-KHASAWNEH M B ， ERDOĞAN S ， et al ， 2023 . How the design of complete streets affects mode choice： Understanding the behavioral responses to the level of traffic stress ［J］. Transp Res A-Pol ， 173 ： 103698 .

BEITEL D ， STIPANCIC J ， MANAUGH K ， et al ， 2018 . Assessing safety of shared space using cyclist-pedestrian interactions and automated video conflict analysis ［J］. Transport Res D-Tr E ， 65 ： 710 - 724 .

HAWORTH N ， SCHRAMM A ， TWISK D ， 2021 . Comparing the risky behaviours of shared and private e-scooter and bicycle riders in downtown Brisbane，Australia ［J］. Accid Anal Prev ， 152 ： 105981 .

LIANG X ， MENG X ， ZHENG L ， 2021 . Investigating conflict behaviours and characteristics in shared space for pedestrians， conventional bicycles and e-bikes ［J］. Accid Anal Prev ， 158 ： 106167 .

QU Z ， GAO Y ， SONG X ， et al ， 2022 . Traffic conflict identification of e-bikes at signalized intersections ［J］. Trans ， 22 （ 5 ）： 205 - 214 .

SINGH D ， DAS P ， GHOSH I ， 2023 . Surrogate safety assessment of traffic facilities under ordered and disordered traffic condition： Systematic literature review ［J］. KSCE J Civ Eng ， 27 （ 11 ）： 5008 - 5029 .

YAN X ， WANG T ， CHEN J ， et al ， 2019 . Analysis of the characteristics and number of bicycle-passenger conflicts at bus stops for improving safety ［J］. Sustainability ， 11 （ 19 ）： 5263 .

YANG B ， CHEN H ， LIU Z ， et al ， 2021 . Trajectory-based study on the conflict characteristics of pedestrians and non-motorized vehicles at bus stops ［C］ // The 20th and 21st Joint COTA International Conference of Transportation Professional . Xi'an， China ： 973 - 984 .

YENDRA D ， HAWORTH N ， WATSON-BROWN N ， 2024 . A comparison of factors influencing the safety of pedestrians accessing bus stops in countries of differing income levels ［J］. Accid Anal Prev ， 207 ： 107725 .

ZHANG C ， DU B ， SHEN J ， et al ， 2022 . Empirical investigation on conflicts between bus passengers and cyclists at different types of bus stops ［C］// 25th International Conference on Intelligent Transportation Systems . Macau， China ： 1850 - 1855 .

ZHENG L ， SAYED T ， MANNERING F ， 2021 . Modeling traffic conflicts for use in road safety analysis： A review of analytic methods and future directions ［J］. Anal Methods Accid Res ， 29 ： 100142 .

ZHENG L ， SAYED T ， GUO Y ， 2020 . Investigating factors that influence pedestrian and cyclist violations on shared use path： An observational study on the Brooklyn bridge promenade ［J］. Int J Sustain Transp ， 14 （ 7 ）： 503 - 512 .

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