How Best to Rank Sites with Promise-Reference-Cited by-同舟云学术

How Best to Rank Sites with Promise

Published:2004-01 Issue:1 Volume:1897 Page:48-54
ISSN:0361-1981
Container-title:Transportation Research Record: Journal of the Transportation Research Board
language:en
Short-container-title:Transportation Research Record

Author:

Hauer Ezra¹,Allery Bryan K.²,Kononov Jake³,Griffith Michael S.⁴

Affiliation:

1. , Apartment 1706, 35 Merton Street, Toronto, Ontario M4S 3G4, Canada

2. Safety Engineering and Analysis, 4201 East Arkansas Street, Denver, CO 80222

3. Colorado Department of Transportation, 2000 South Holly Street, Denver, CO 80222

4. Turner-Fairbank Highway Research Center, FHWA, 6300 Georgetown Pike, McLean, VA 22101

Abstract

The starting point for a program of local safety improvements is the preparation of a list of sites with promise at which to conduct a detailed engineering study, by which cost-effective projects can be identified. Inclusion on the list depends on the criteria used for ranking sites. Five alternative ranking criteria were compared by the cost-effectiveness of the projects to which they lead. It was found that sites at which most accidents or most severity-weighed accidents are expected lead to most cost-effective projects.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

http://journals.sagepub.com/doi/pdf/10.3141/1897-07

Reference3 articles.

1. Estimating Safety by the Empirical Bayes Method: A Tutorial

Cited by 37 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. Incorporating Road Network Connectivity in Neighboring Structures for Crash Prediction Models at the Area Level;Transportation Research Record: Journal of the Transportation Research Board;2024-01-11

2. Identification of road traffic crashes hotspots on an intercity expressway in India using geospatial techniques;IATSS Research;2023-10

3. Factors influencing fatal vehicle-involved crash consequence metrics at spatio-temporal hotspots in South Korea: application of GIS and machine learning techniques;International Journal of Urban Sciences;2022-10-16

4. Screening Dangerous Intersections at City Level;CICTP 2021;2021-12-14

5. Applying a Bayesian multivariate spatio-temporal interaction model based approach to rank sites with promise using severity-weighted decision parameters;Accident Analysis & Prevention;2021-07