Enhancing Walking Accessibility in Urban Transportation: A Comprehensive Analysis of Influencing Factors and Mechanisms

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Information (Switzerland) Pub Date : 2023-11-02 DOI:10.3390/info14110595
Yong Liu, Xueqi Ding, Yanjie Ji
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Abstract

The rise in “urban diseases” like population density, traffic congestion, and environmental pollution has renewed attention to urban livability. Walkability, a critical measure of pedestrian friendliness, has gained prominence in urban and transportation planning. This research delves into a comprehensive analysis of walking accessibility, examining both subjective and objective aspects. This study aims to identify the influencing factors and explore the underlying mechanisms driving walkability within a specific area. Through a questionnaire survey, residents’ subjective perceptions were gathered concerning various factors such as traffic operations, walking facilities, and the living environment. Structural equation modeling was employed to analyze the collected data, revealing that travel experience significantly impacts perceived accessibility, followed by facility condition, traffic condition, and safety perception. In the objective analysis, various types of POI data served as explanatory variables, dividing the study area into grids using ArcGIS, with the Walk Score® as the dependent variable. Comparisons of OLS, GWR and MGWR demonstrated that MGWR yielded the most accurate fitting results. Mixed land use, shopping, hotels, residential, government, financial, and medical public services exhibited positive correlations with local walkability, while corporate enterprises and street greening showed negative correlations. These findings were attributed to the level of development, regional functions, population distribution, and supporting facility deployment, collectively influencing the walking accessibility of the area. In conclusion, this research presents crucial insights into enhancing walkability, with implications for urban planning and management, thereby enriching residents’ walking travel experience and promoting sustainable transportation practices. Finally, the limitations of the thesis are discussed.
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提高城市交通步行可达性:影响因素与机制综合分析
人口密度、交通拥堵和环境污染等“城市病”的增加重新引起了人们对城市宜居性的关注。可步行性是衡量行人友好性的一项重要指标,在城市和交通规划中日益突出。本研究从主观和客观两个方面对步行可达性进行了综合分析。本研究旨在确定特定区域内步行性的影响因素并探索其潜在机制。通过问卷调查,收集居民对交通运营、步行设施、居住环境等各因素的主观感受。利用结构方程模型对收集到的数据进行分析,发现出行体验对感知可达性的影响显著,其次是设施条件、交通条件和安全感知。在客观分析中,各种类型的POI数据作为解释变量,使用ArcGIS将研究区域划分为网格,以Walk Score®作为因变量。OLS、GWR和MGWR的比较表明,MGWR的拟合结果最为准确。混合土地利用、购物、酒店、住宅、政府、金融和医疗公共服务与当地步行性呈正相关,而企业企业与街道绿化呈负相关。这些发现归因于发展水平,区域功能,人口分布和配套设施部署,共同影响该地区的步行可达性。总之,本研究为提高步行性提供了重要的见解,对城市规划和管理具有重要意义,从而丰富居民的步行旅行体验,促进可持续交通实践。最后,讨论了本文的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information (Switzerland)
Information (Switzerland) Computer Science-Information Systems
CiteScore
6.90
自引率
0.00%
发文量
515
审稿时长
11 weeks
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