Evaluation of cyclists' preference on guardrails on urban roads: a stated choice analysis based on a panel mixed regret-based model

Cycling as a sustainable mode of transport has become more prominent in urban settings. However, the design of bicycle infrastructure, particularly the setup of guardrails, directly impacts cyclists' sense of security and comfort. This study assessed cyclists' preferences for different typ...

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Main Authors: Yan Sun, Zhongxiang Feng, Dianchen Zhu
Format: Article
Language:English
Published: Maximum Academic Press 2025-03-01
Series:Digital Transportation and Safety
Subjects:
Online Access:https://www.maxapress.com/article/doi/10.48130/dts-0024-0026
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author Yan Sun
Zhongxiang Feng
Dianchen Zhu
author_facet Yan Sun
Zhongxiang Feng
Dianchen Zhu
author_sort Yan Sun
collection DOAJ
description Cycling as a sustainable mode of transport has become more prominent in urban settings. However, the design of bicycle infrastructure, particularly the setup of guardrails, directly impacts cyclists' sense of security and comfort. This study assessed cyclists' preferences for different types of guardrails and how these guardrails influence perceived safety and comfort through a stated choice experiment. Cyclists were asked to choose among stepping stone guardrails, metal guardrails, and warning post guardrails under varying hypothetical scenarios, considering factors such as colored pavements, traffic volume, weather, and vehicle type of adjacent lanes. A random parameter utility model and random parameter regret model were adopted to explore the possible factors and choice of guardrails. The results revealed that increases in traffic volume and changes in colored pavements significantly heightened the likelihood of choosing warning post guardrails, indicating that cyclists prefer guardrails that offer a higher sense of security in areas with dense traffic. Moreover, younger cyclists and those with higher educational levels exhibited a preference for warning post guardrails, reflecting their greater safety needs and sensitivity to traffic environments. These findings provide empirical support for urban bicycle lane design and offer insights for the formulation of effective urban traffic safety policies.
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spelling doaj-art-c8acc1a1060946bf8a5620cb3383327c2025-08-20T03:18:41ZengMaximum Academic PressDigital Transportation and Safety2837-78422025-03-0141102010.48130/dts-0024-0026dts-0024-0026Evaluation of cyclists' preference on guardrails on urban roads: a stated choice analysis based on a panel mixed regret-based modelYan Sun0Zhongxiang Feng1Dianchen Zhu2School of Automobile and Traffic Engineering, Hefei University of Technology, Hefei 230009, ChinaSchool of Automobile and Traffic Engineering, Hefei University of Technology, Hefei 230009, ChinaSchool of Automobile and Traffic Engineering, Hefei University of Technology, Hefei 230009, ChinaCycling as a sustainable mode of transport has become more prominent in urban settings. However, the design of bicycle infrastructure, particularly the setup of guardrails, directly impacts cyclists' sense of security and comfort. This study assessed cyclists' preferences for different types of guardrails and how these guardrails influence perceived safety and comfort through a stated choice experiment. Cyclists were asked to choose among stepping stone guardrails, metal guardrails, and warning post guardrails under varying hypothetical scenarios, considering factors such as colored pavements, traffic volume, weather, and vehicle type of adjacent lanes. A random parameter utility model and random parameter regret model were adopted to explore the possible factors and choice of guardrails. The results revealed that increases in traffic volume and changes in colored pavements significantly heightened the likelihood of choosing warning post guardrails, indicating that cyclists prefer guardrails that offer a higher sense of security in areas with dense traffic. Moreover, younger cyclists and those with higher educational levels exhibited a preference for warning post guardrails, reflecting their greater safety needs and sensitivity to traffic environments. These findings provide empirical support for urban bicycle lane design and offer insights for the formulation of effective urban traffic safety policies.https://www.maxapress.com/article/doi/10.48130/dts-0024-0026cyclingstated choice analysissense of securityguardrailsrandom parameter model
spellingShingle Yan Sun
Zhongxiang Feng
Dianchen Zhu
Evaluation of cyclists' preference on guardrails on urban roads: a stated choice analysis based on a panel mixed regret-based model
Digital Transportation and Safety
cycling
stated choice analysis
sense of security
guardrails
random parameter model
title Evaluation of cyclists' preference on guardrails on urban roads: a stated choice analysis based on a panel mixed regret-based model
title_full Evaluation of cyclists' preference on guardrails on urban roads: a stated choice analysis based on a panel mixed regret-based model
title_fullStr Evaluation of cyclists' preference on guardrails on urban roads: a stated choice analysis based on a panel mixed regret-based model
title_full_unstemmed Evaluation of cyclists' preference on guardrails on urban roads: a stated choice analysis based on a panel mixed regret-based model
title_short Evaluation of cyclists' preference on guardrails on urban roads: a stated choice analysis based on a panel mixed regret-based model
title_sort evaluation of cyclists preference on guardrails on urban roads a stated choice analysis based on a panel mixed regret based model
topic cycling
stated choice analysis
sense of security
guardrails
random parameter model
url https://www.maxapress.com/article/doi/10.48130/dts-0024-0026
work_keys_str_mv AT yansun evaluationofcyclistspreferenceonguardrailsonurbanroadsastatedchoiceanalysisbasedonapanelmixedregretbasedmodel
AT zhongxiangfeng evaluationofcyclistspreferenceonguardrailsonurbanroadsastatedchoiceanalysisbasedonapanelmixedregretbasedmodel
AT dianchenzhu evaluationofcyclistspreferenceonguardrailsonurbanroadsastatedchoiceanalysisbasedonapanelmixedregretbasedmodel