Road Safety Evaluation Framework for Accessing Park Green Space Using Active Travel

The COVID-19 pandemic has led to a burgeoning demand for active travel (walking or cycling), which is a healthy, pollution-free, and affordable daily transportation mode. Park green space (PGS), as an open natural landscape, have become a popular destination for active travel trips in metropolitan a...

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Main Authors: Yuanyuan Luo, Yanfang Liu, Lijun Xing, Nannan Wang, Lei Rao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Environmental Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2022.864966/full
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author Yuanyuan Luo
Yanfang Liu
Lijun Xing
Nannan Wang
Lei Rao
author_facet Yuanyuan Luo
Yanfang Liu
Lijun Xing
Nannan Wang
Lei Rao
author_sort Yuanyuan Luo
collection DOAJ
description The COVID-19 pandemic has led to a burgeoning demand for active travel (walking or cycling), which is a healthy, pollution-free, and affordable daily transportation mode. Park green space (PGS), as an open natural landscape, have become a popular destination for active travel trips in metropolitan areas. Pedestrians and cyclists are often at high crash risk when exposed to complicated traffic environments in urban areas. Therefore, this study aims to propose a safety assessment framework for evaluating active travel traffic safety (ATTS) near PGS from the perspective of urban planning and exploring the effect of the point-of-interest (POI) aggregation phenomenon on ATTS. First, links between ATTS and the environment variables were investigated and integrated into the framework using the catastrophe model. Second, the relationship between the POI density and ATTS was investigated using three spatial regression models. Results in the Wuhan Metropolitan Area as a case study have shown that (1) the population density, road density, nighttime brightness, and vegetation situation near PGS have pronounced effects on ATTS; (2) pedestrians near PGS enjoy safer road facilities than cyclists. Active travel traffic near PGS requires more attention than non-park neighborhoods; (3) among four park categories, using active travel to access theme parks is the safest; and (4) SEM has the best fit for POI cluster research. Increases in leisure facility density and residence density may lead to deterioration and improvement in ATTS safety levels near PGSs, respectively. The safety framework can be applied in other regions because the selected environment indicators are common and accessible. The findings offer appropriate traffic planning strategies to improve the safety of active travel users when accessing PGS.
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spelling doaj.art-9772bbe7168e43b8b62662c62455706d2022-12-22T02:11:11ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2022-05-011010.3389/fenvs.2022.864966864966Road Safety Evaluation Framework for Accessing Park Green Space Using Active TravelYuanyuan Luo0Yanfang Liu1Lijun Xing2Nannan Wang3Lei Rao4School of Resource and Environmental Sciences, Wuhan University, Wuhan, ChinaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan, ChinaFaculty of Resources and Environmental Science, Hubei University, Wuhan, ChinaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan, ChinaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan, ChinaThe COVID-19 pandemic has led to a burgeoning demand for active travel (walking or cycling), which is a healthy, pollution-free, and affordable daily transportation mode. Park green space (PGS), as an open natural landscape, have become a popular destination for active travel trips in metropolitan areas. Pedestrians and cyclists are often at high crash risk when exposed to complicated traffic environments in urban areas. Therefore, this study aims to propose a safety assessment framework for evaluating active travel traffic safety (ATTS) near PGS from the perspective of urban planning and exploring the effect of the point-of-interest (POI) aggregation phenomenon on ATTS. First, links between ATTS and the environment variables were investigated and integrated into the framework using the catastrophe model. Second, the relationship between the POI density and ATTS was investigated using three spatial regression models. Results in the Wuhan Metropolitan Area as a case study have shown that (1) the population density, road density, nighttime brightness, and vegetation situation near PGS have pronounced effects on ATTS; (2) pedestrians near PGS enjoy safer road facilities than cyclists. Active travel traffic near PGS requires more attention than non-park neighborhoods; (3) among four park categories, using active travel to access theme parks is the safest; and (4) SEM has the best fit for POI cluster research. Increases in leisure facility density and residence density may lead to deterioration and improvement in ATTS safety levels near PGSs, respectively. The safety framework can be applied in other regions because the selected environment indicators are common and accessible. The findings offer appropriate traffic planning strategies to improve the safety of active travel users when accessing PGS.https://www.frontiersin.org/articles/10.3389/fenvs.2022.864966/fullactive travelurban green spacetraffic safetyframework integrationspatial regression
spellingShingle Yuanyuan Luo
Yanfang Liu
Lijun Xing
Nannan Wang
Lei Rao
Road Safety Evaluation Framework for Accessing Park Green Space Using Active Travel
Frontiers in Environmental Science
active travel
urban green space
traffic safety
framework integration
spatial regression
title Road Safety Evaluation Framework for Accessing Park Green Space Using Active Travel
title_full Road Safety Evaluation Framework for Accessing Park Green Space Using Active Travel
title_fullStr Road Safety Evaluation Framework for Accessing Park Green Space Using Active Travel
title_full_unstemmed Road Safety Evaluation Framework for Accessing Park Green Space Using Active Travel
title_short Road Safety Evaluation Framework for Accessing Park Green Space Using Active Travel
title_sort road safety evaluation framework for accessing park green space using active travel
topic active travel
urban green space
traffic safety
framework integration
spatial regression
url https://www.frontiersin.org/articles/10.3389/fenvs.2022.864966/full
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AT yanfangliu roadsafetyevaluationframeworkforaccessingparkgreenspaceusingactivetravel
AT lijunxing roadsafetyevaluationframeworkforaccessingparkgreenspaceusingactivetravel
AT nannanwang roadsafetyevaluationframeworkforaccessingparkgreenspaceusingactivetravel
AT leirao roadsafetyevaluationframeworkforaccessingparkgreenspaceusingactivetravel