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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Format: | Article |
Language: | English |
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MDPI AG
2020-07-01
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Series: | ISPRS International Journal of Geo-Information |
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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. |
first_indexed | 2024-03-10T18:04:13Z |
format | Article |
id | doaj.art-699aed68b13c488abc6bd6eec8d3692a |
institution | Directory Open Access Journal |
issn | 2220-9964 |
language | English |
last_indexed | 2024-03-10T18:04:13Z |
publishDate | 2020-07-01 |
publisher | MDPI AG |
record_format | Article |
series | ISPRS International Journal of Geo-Information |
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 |