Effect of Cell Phone Use on Pedestrian Crossing Risk
During Waiting Stage

doi:10.16097/j.cnki.1009-6744.2023.06.009

Abstract

Abstract: This paper investigates the effect of cell phone use on pedestrian crossing risk during the waiting stage. We conducted data collection at a typical signal-controlled crosswalk to monitor pedestrian crossing behaviors. Utilizing the random forest algorithm, we developed a model for classifying pedestrian violations and extracted key parameters to represent crossing risk. Subsequently, we constructed a pedestrian crossing risk assessment model using the CRITIC (Criteria Importance Through Intercriteria Correlation) weighting method. The results show that several factors significantly affect crossing violations, including pedestrian crossing waiting time, location choice, green light response time, startup speed, average speed and the rate of failing to achieve the target speed. Cell phone use during the waiting stage has a limited impact on location choice but results in slower pedestrian responses, reduced average speed, higher startup speed, and an increased rate of failing to achieve the target speed. The rate of failing to achieve the target speed, crossing location choice, and green light response time have a substantial impact on crossing risk, and thus cell phone use increases crossing risk by 26.1% compared to pedestrians who do not use cell phones. The research results can provide important insights for the enhancement and optimization of street crossing facilities, as well as the improvement of pedestrian safety education effect.

Key words: urban traffic, crossing risk, CRITIC weighting method, cell phone use during waiting stage, crossing behaviors

摘要： 为揭示等待阶段使用手机对行人过街风险的影响，本文选取典型信控人行横道进行数据采集，追踪行人过街过程。利用随机森林算法建立行人违章分类模型，提取过街风险表征参数，基于 CRITIC(Criteria Importance Through Intercriteria Correlation)权重法构建行人过街风险评估模型。研究表明：行人过街等待时间、位置选择、绿灯反应时间、启动速度、平均速度及目标速度未达成率对过街违章有重要影响；等待阶段使用手机对位置选择影响较小，但会导致行人反应变慢，平均速度降低，行人启动速度及目标速度未达成率升高；目标速度未达成率、过街位置选择及绿灯反应时间对过街风险影响较大，使用手机群体过街风险相对正常过街行人增大了26.1%。研究结果可为过街设施的优化与完善，行人安全教育手段的丰富与提升等提供重要参考。

关键词: 城市交通, 过街风险, CRITIC权重法, 等待阶段使用手机, 过街行为

CLC Number:

U491

PENG Jin-shuan, YUAN Hao, SONG Zhen, FAN Zi-bin, YANG Xiang-hao, ZHANG Lei. Effect of Cell Phone Use on Pedestrian Crossing Risk During Waiting Stage[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(6): 83-89.

彭金栓, 袁浩, 宋臻, 范子斌, 杨祥浩, 张磊. 等待阶段使用手机对行人过街风险的影响[J]. 交通运输系统工程与信息, 2023, 23(6): 83-89.

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URL: http://www.tseit.org.cn/EN/10.16097/j.cnki.1009-6744.2023.06.009

http://www.tseit.org.cn/EN/Y2023/V23/I6/83

References

[1] 吴文静, 陈润超, 马芳武, 等. 基于序列比对的行人过街风险识别研究[J]. 交通运输系统工程与信息, 2018, 18(3): 101-107. [WU W J, CHEN R C, MA F W, et al. Identify risks of pedestrian crossing based on sequence alignment method[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(3): 101-107.]

[2] 何鸿燊. 基于行人过街的信号配时控制实践[J]. 交通与运输, 2022, 35(S1): 148-152. [HE H S. Signal timing control practice based on pedestrian crossing[J]. Traffic & Transportation, 2022, 35(S1): 148-152.]

[3] 陈鑫, 宋臻, 高艺轩, 等. 行人过街安全研究进展[J]. 人类工效学, 2022, 28(2): 82-87. [CHEN X, SONG Z, GAO Y X, et al. Research progress on pedestrian crossing safety[J]. Chinese Journal of Ergonomics, 2022, 28(2): 82-87.]

[4] 彭金栓, 赵刘昌, 杨欢欢. 行人过街风格多参数融合识别[J]. 交通运输系统工程与信息, 2022, 22(5): 215- 222. [PENG J S, ZHAO L C, YANG H H. Pedestrian crossing style recognition based on multi-source parameter fusion[J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(5): 215-222.]

[5] 姜康, 凌飞阳, 冯忠祥, 等. 行人过街使用手机行为的心理影响因素研究[J]. 中国安全科学学报, 2016, 26 (6): 13-18. [JIANG K, LING F Y, FENG Z X, et al. Research on psychological factors affecting pedestrians' mobile phone use behaviour while crossing[J]. China Safety Science Journal, 2016, 26(6): 13-18.]

[6] TAPIRO H, ORON-GILAD T, PARMET Y. Cell phone conversations and child pedestrian' s crossing behavior: A simulator study[J]. Safety Science, 2016, 89: 36-44.

[7] JIANG K, LING F Y, FENG Z X, et al. Effects of mobile phone distraction on pedestrians' crossing behavior and visual attention allocation at a signalized intersection: An outdoor experimental study[J]. Accident Analysis & Prevention, 2018, 115: 170-177.

[8] TIAN Y, HUANG Y, HE J, et al. What affects gait performance during walking while texting? A comparison of motor, visual and cognitive factors[J]. Ergonomics, 2018, 61(11): 1507-1518.

[9] SALTOS A, SMITH D, SCHREIBER K, et al. Cell-phone related injuries in the United States from 2000-2012[J]. Journal of Safety Studies, 2015, 1(1): 1-14.

[10] CAMPISI T, OTKOVIĆ I I, ŠURDONJA S, et al. Impact of social and technological distraction on pedestrian crossing behaviour: A case study in Enna, Sicily[J]. Transportation Research Procedia, 2022, 60: 100-107.

[11] PEŠIĆ D, ANTIĆ B, GLAVIĆ D, et al. The effects of mobile phone use on pedestrian crossing behaviour at unsignalized intersections-models for predicting unsafe pedestrians behaviour[J]. Safety Science, 2016, 82: 1-8.

[12] 苑红伟, 肖贵平. 基于交通心理的行人不安全行为研究[J]. 中国安全科学学报, 2008(1): 20-26, 179. [YUAN H W, XIAO G P. Study on the unsafe behaviors of pedestrians based on traffic psychology[J]. China Safety Science Journal, 2008(1): 20-26, 179.]

[13] 周扬, 付锐, 刘卓凡. 考虑驾驶人不同分心类型的分心识别研究[J]. 交通运输系统工程与信息, 2022, 22(3): 132-139. [ZHOU Y, FU R, LIU Z F. Distracted driving recognition considering distraction types[J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(3): 132-139.]

[14] 郭孜政, 潘雨帆, 周宏宇, 等. 驾驶人对潜在危险性事件的心理预期识别研究[J]. 中国公路学报, 2020, 33 (6): 119-128. [GUO Z Z, PAN Y F, ZHOU H Y, et al. Estimation of the driver's psychological anticipation of potentially hazardous events[J]. China Journal of Highway and Transport, 2020, 33(6): 119-128.]

[15] 夏汉庸, 黄毅, 尹和军, 等. 基于XGBoost算法的盾构施工地面沉降预测方法[J]. 铁道标准设计, 2023, 67(3): 140-147. [XIA H Y, HUANG Y, YIN H J, et al. A method of ground subsidence forecast for shield construction based on XGBoost algorithm[J]. Railway Standard Design, 2023, 67(3): 140-147.]

[16] 覃文文, 鄢祺阳, 谷金晶, 等. 重载货车驾驶人驾驶风格识别与量化研究[J]. 交通运输系统工程与信息, 2022, 22(4): 137-148. [QIN W W, YAN Q Y, GU J J, et al. Driving style recognition and quantification for heavy-duty truck drivers[J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(4): 137-148.]

Effect of Cell Phone Use on Pedestrian Crossing Risk During Waiting Stage

等待阶段使用手机对行人过街风险的影响

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