Exploring the impacts of street layout on the frequency of pedestrian crashes: A micro-level study-Reference-Cited by-同舟云学术

Exploring the impacts of street layout on the frequency of pedestrian crashes: A micro-level study

Published:2022-06 Issue: Volume:81 Page:91-100
ISSN:0022-4375
Container-title:Journal of Safety Research
language:en
Short-container-title:Journal of Safety Research

Author:

Zhu Manman,Li Haojie,Sze N.N.,Ren Gang

Funder

Research Grants Council, University Grants Committee

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,Building and Construction

Reference48 articles.

1. Geographical unit based analysis in the context of transportation safety planning;Abdel-Aty;Transportation Research Part A: Policy and Practice,2013

2. Quantitative analysis of lane-based pedestrian-vehicle conflict at a non-signalized marked crosswalk;Almodfer;Transportation Research Part F: Traffic Psychology and Behaviour,2016

3. Incorporating twitter-based human activity information in spatial analysis of crashes in urban areas;Bao;Accident Analysis and Prevention,2017

4. Bayesian image restoration with two applications in spatial statistics;Besag;Annals of the Institute of Statistical Mathematics,1991

5. Identification of hazardous road locations of traffic accidents by means of kernel density estimation and cluster significance evaluation;Bíl;Accident Analysis and Prevention,2013

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. How does street environment affect pedestrian crash risks? A link-level analysis using street view image-based pedestrian exposure measurement;Accident Analysis & Prevention;2024-09

2. Influence of walking accessibility for metro system on pedestrian safety: A multiple membership multilevel model;Analytic Methods in Accident Research;2024-09

3. Hierarchical dynamic estimation of fire service accessibility based on POI big data;Case Studies in Thermal Engineering;2024-07

4. Identifying spatio-temporal pattern of electric vehicles involved traffic accidents;Journal of Transportation Safety & Security;2024-04-16

5. Advances in estimating pedestrian measures through artificial intelligence: From data sources, computer vision, video analytics to the prediction of crash frequency;Computers, Environment and Urban Systems;2024-01