Evaluation of Spatial Resilience of Highway Networks in Response to Adverse Weather Conditions

Adverse weather poses a significant threat to the serviceability of highway infrastructure, as it causes more frequent and severe crash incidents. This study focuses on evaluating the resilience of highway networks by examining the crash-induced safety impact in response to extreme weather events. U...

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Bibliographic Details
Main Authors: Fei Han, Su Zhang
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/9/8/480
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author Fei Han
Su Zhang
author_facet Fei Han
Su Zhang
author_sort Fei Han
collection DOAJ
description Adverse weather poses a significant threat to the serviceability of highway infrastructure, as it causes more frequent and severe crash incidents. This study focuses on evaluating the resilience of highway networks by examining the crash-induced safety impact in response to extreme weather events. Unlike traditional service drop-based methods for resilience evaluation, this study endeavors to evaluate highway resilience in a spatial context. Three spatial metrics, including K-nearest neighbors, proximity to highways, and Kernel density hot spot, are introduced and employed to compare and analyze the spatial patterns (magnitude and distribution) of crashes in pre- and post-weather conditions. An illustrative example is also provided to showcase the applications of the proposed spatial resilience metrics for two study areas in the State of Illinois, U.S. The contribution of this study is to provide transportation practitioners with a tool to evaluate highway spatial resilience both visually and quantitatively, and ultimately improve highway safety and operation.
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spelling doaj.art-699aed68b13c488abc6bd6eec8d3692a2023-11-20T08:36:23ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-07-019848010.3390/ijgi9080480Evaluation of Spatial Resilience of Highway Networks in Response to Adverse Weather ConditionsFei Han0Su Zhang1Department of Civil, Construction and Environmental Engineering, The University of New Mexico, MSC01 1070, Albuquerque, NM 87131-0001, USADepartment of Civil, Construction and Environmental Engineering, The University of New Mexico, MSC01 1070, Albuquerque, NM 87131-0001, USAAdverse weather poses a significant threat to the serviceability of highway infrastructure, as it causes more frequent and severe crash incidents. This study focuses on evaluating the resilience of highway networks by examining the crash-induced safety impact in response to extreme weather events. Unlike traditional service drop-based methods for resilience evaluation, this study endeavors to evaluate highway resilience in a spatial context. Three spatial metrics, including K-nearest neighbors, proximity to highways, and Kernel density hot spot, are introduced and employed to compare and analyze the spatial patterns (magnitude and distribution) of crashes in pre- and post-weather conditions. An illustrative example is also provided to showcase the applications of the proposed spatial resilience metrics for two study areas in the State of Illinois, U.S. The contribution of this study is to provide transportation practitioners with a tool to evaluate highway spatial resilience both visually and quantitatively, and ultimately improve highway safety and operation.https://www.mdpi.com/2220-9964/9/8/480spatial resilienceadverse weathersafety impactcrash pattern
spellingShingle Fei Han
Su Zhang
Evaluation of Spatial Resilience of Highway Networks in Response to Adverse Weather Conditions
ISPRS International Journal of Geo-Information
spatial resilience
adverse weather
safety impact
crash pattern
title Evaluation of Spatial Resilience of Highway Networks in Response to Adverse Weather Conditions
title_full Evaluation of Spatial Resilience of Highway Networks in Response to Adverse Weather Conditions
title_fullStr Evaluation of Spatial Resilience of Highway Networks in Response to Adverse Weather Conditions
title_full_unstemmed Evaluation of Spatial Resilience of Highway Networks in Response to Adverse Weather Conditions
title_short Evaluation of Spatial Resilience of Highway Networks in Response to Adverse Weather Conditions
title_sort evaluation of spatial resilience of highway networks in response to adverse weather conditions
topic spatial resilience
adverse weather
safety impact
crash pattern
url https://www.mdpi.com/2220-9964/9/8/480
work_keys_str_mv AT feihan evaluationofspatialresilienceofhighwaynetworksinresponsetoadverseweatherconditions
AT suzhang evaluationofspatialresilienceofhighwaynetworksinresponsetoadverseweatherconditions