健康导向下城市自行车专用道适宜性评价研究
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1.长安大学 运输工程学院;2.长安大学 经济与管理学院

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Research on the Suitability Evaluation of Urban Bicycle Lanes under the Health-Oriented Approach
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    摘要:

    【目的】在健康中国战略与城市可持续发展需求的双重驱动下,健康因素正重塑现代城市的慢行交通运输路网体系。针对目前自行车专用道路网评价缺乏健康属性评价的问题,本研究旨在构建自行车专用道健康适宜性评价体系,以实现对路网健康属性的量化评价。【方法】本文从体力活动、空气污染暴露和骑行安全出发,提取路网结构形态、专用道安全性和独立性3个评价维度,构建涵盖物理隔离程度、主干道接近度、非直线系数等6项量化指标的评价体系。针对评价指标量纲差异大和权重不易确定的问题,引入CRITIC(CRiteria Importance Through Intercriteria Correlation)赋权法进行分级赋权,通过求解各级权重得到研究区域的综合评价结果。研究以西安市城区为例,结合GIS空间分析技术,完成实证研究。【结果】研究表明:研究区域自行车专用道独立性维度权重最高;非直线系数和主干道接近度指标对骑行健康影响最为显著;雁塔区和未央区的最终赋权评价值最优。【结论】基于评价结果,未来交通规划中需通过减少自行车道与其他道路的交叉重叠、道路微改造打通路网节点,以及改善自行车专用道隔离措施,作为提升西安市城区自行车专用道健康属性的核心手段。

    Abstract:

    [Purposes] Driven by the dual demands of the Healthy China strategy and the need for sustainable urban development, health factors are reshaping the slow-traffic transportation network system of modern cities. In response to the current lack of health attribute evaluation in the assessment of bicycle lane networks, this study aims to construct a health suitability evaluation system for bicycle lanes to achieve quantitative evaluation of the health attributes of the network. [Methods] Starting from physical activity, air pollution exposure, and cycling safety, this paper extracts three evaluation dimensions: network structure, lane safety, and independence, and constructs an evaluation system covering six quantitative indicators such as the degree of physical isolation, proximity to main roads, and non-linear coefficient. To address the issues of large differences in the dimensions of evaluation indicators and the difficulty in determining weights, the CRITIC (Criteria Importance Through Intercriteria Correlation) weighting method is introduced for hierarchical weighting. The comprehensive evaluation results of the study area are obtained by solving the weights at each level. Taking the urban area of Xi"an as an example, this study combines GIS spatial analysis technology to complete an empirical study.[Findings] The results show that the independence dimension of bicycle lanes in the study area has the highest weight; the non-linear coefficient and proximity to main roads have the most significant impact on cycling health; the final weighted evaluation values of Yanta District and Weiyang District are the best. [Conclusions]Based on the evaluation results, in future transportation planning, the core measures to improve the health attributes of bicycle lanes in the urban area of Xi"an include reducing the intersection and overlap of bicycle lanes with other roads, micro-renovation of roads to connect network nodes, and improving the isolation measures of bicycle lanes.

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  • 收稿日期:2025-08-17
  • 最后修改日期:2025-10-14
  • 录用日期:2025-10-14
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