Pedestrian crossing: Analysis of habits and compliance through unsignalized crosswalk in the city of Kigali

被引:0
|
作者
Nkurunziza, David [1 ]
Kumaran, G. Senthil [2 ]
Tafahomi, Rahman [3 ]
Faraja, Irumva Augustin [4 ]
机构
[1] Univ Rwanda, Coll Sci & Technol, Dept Civil Environm & Geomat Engn, Kigali, Rwanda
[2] Copperbelt Univ, Dept Civil Engn & Construct, Kitwe, Zambia
[3] Univ Rwanda, Coll Sci & Technol, Dept Architecture, Kigali, Rwanda
[4] Relief Solut Ltd, Kigali, Rwanda
关键词
Road safety; Pedestrian crossing; Pedestrian characteristics; Pedestrian traffic; SAFETY ASSESSMENT; BEHAVIOR; ENVIRONMENT;
D O I
10.21833/ijaas.2024.02.009
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Pedestrian safety is a global issue that can be improved by monitoring and adjusting walking behaviors. This study focuses on how people walk across streets without traffic signals. It looks at whether pedestrians follow the rules and regulations for safely crossing streets. The unique aspect of this research is that it examines pedestrian behaviors on roads with two lanes for two-way traffic at various informal crosswalks rather than on one-way streets. The researchers watched video recordings to study different instances of people crossing streets. They found that 27.21% of pedestrians followed the safety rules when crossing, but a significant number did not and should be taught better crossing practices. The study identified three main behaviors that often led to rule violations: not looking both ways before crossing, being distracted, and not crossing cautiously. Pedestrians who were cautious were much more likely to follow the crossing rules compared to those moving at any speed, and those not distracted were more likely to follow the rules than those who were cautious. Additionally, 32.05% of pedestrians were distracted by activities like using phones, talking, or wearing headphones. Among these, 17.7% walked directly across the crosswalk, and 26.21% crossed in a diagonal or zigzag pattern. The study also found that 60% to 87% of the observed behaviors could predict whether a pedestrian would follow crossing rules based on statistical models.
引用
收藏
页码:63 / 72
页数:10
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共 8 条
  • [1] Analysis of Vehicle-Pedestrian Interactive Behaviors near Unsignalized Crosswalk
    Noh, Byeongjoon
    Ka, Dongho
    Lee, David
    Yeo, Hwasoo
    [J]. TRANSPORTATION RESEARCH RECORD, 2021, 2675 (08) : 494 - 505
  • [2] APPLYING SUPPORT VECTOR CLASSIFIERS FOR ANALYSIS OF PEDESTRIAN - VEHICULAR CONFLICTS AT UNSIGNALIZED CROSSWALK
    Chikkakrishna, Naveen Kumar
    Tallam, Teja
    Pala, Jyothi Sree
    Teja, Sriram Ravi
    Kumar, Damavarapu Deepak
    [J]. 2019 IEEE 16TH INDIA COUNCIL INTERNATIONAL CONFERENCE (IEEE INDICON 2019), 2019,
  • [3] Vision-Based Potential Pedestrian Risk Analysis on Unsignalized Crosswalk Using Data Mining Techniques
    Noh, Byeongjoon
    No, Wonjun
    Lee, Jaehong
    Lee, David
    [J]. APPLIED SCIENCES-BASEL, 2020, 10 (03):
  • [4] Prediction of pedestrian crossing behaviour at unsignalized intersections using machine learning algorithms: analysis and comparison
    Singh, Dungar
    Das, Pritikana
    Ghosh, Indrajit
    [J]. JOURNAL ON MULTIMODAL USER INTERFACES, 2024, 18 (2-3) : 239 - 256
  • [5] Dynamic analysis of pedestrian crossing behaviors on traffic flow at unsignalized mid-block crosswalks
    Liu Gang
    He Jing
    Luo Zhiyong
    Yang Wunian
    Zhang Xiping
    [J]. INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2015, 29 (15):
  • [6] Pedestrian Crossing Speed Patterns and running frequency analysis at a non-signalized marked crosswalk: Quantitative and qualitative approaches
    Almodfer, Rolla
    Xiong, Shengwu
    Kong, Xiangzhen
    Duan, Pengfei
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2017, 34 : 183 - 192
  • [7] Combined with Machine Learning and Ordered Logistic Regression for Pattern Recognition and Safety Analysis in Pedestrian-vehicle Crossing Interaction at Unsignalized Crosswalks
    Yan, Ying
    Zhou, Mo
    Yuan, Hua-Zhi
    Dong, Shuai
    Chen, Xin-Qiang
    [J]. Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2024, 37 (10): : 171 - 183
  • [8] Cost-effective non-revenue water reduction: analysis through pilot activities in Kigali City, Rwanda
    Ogata, Ryuji
    Tsutsui, Nobuyuki
    Bahige, Jean Berchmans
    Murakami, Shin
    [J]. Water Practice and Technology, 2024, 19 (11): : 4328 - 4337