Estimating Urban Traffic Safety and Analyzing Spatial Patterns through the Integration of City-Wide Near-Miss Data: A New York City Case Study

Estimating Urban Traffic Safety and Analyzing Spatial Patterns through the Integration of City-Wide Near-Miss Data: A New York City Case Study

City-wide near-miss data can be beneficial for traffic safety estimation. In this study, we evaluate urban traffic safety and examine spatial patterns by incorporating city-wide near-miss data (59,277 near-misses). Our methodology employs a grid-based method, the Empirical Bayes (EB) approach, and s...

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Bibliographic Details
Main Authors: Chuan Xu, Jingqin Gao, Fan Zuo, Kaan Ozbay
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Applied Sciences
Subjects:
near-misses
empirical Bayes
vulnerable road users
urban area
safety estimation
Online Access:https://www.mdpi.com/2076-3417/14/14/6378

Internet

https://www.mdpi.com/2076-3417/14/14/6378

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