Influence on pedestrian commuting behavior of the built environment surrounding destinations: A structural equations modeling approach

目的地 建筑环境 行人 旅游行为 运输工程 结构方程建模 TRIPS体系结构 变量(数学) 计算机科学 地理 工程类 土木工程 数学 旅游 数学分析 机器学习 考古
作者
David Vale,Mauro Pereira
出处
期刊:International Journal of Sustainable Transportation [Taylor & Francis]
卷期号:10 (8): 730-741 被引量:56
标识
DOI:10.1080/15568318.2016.1144836
摘要

As stated in the behavioral model of the environment, the built environment has a clear influence on walking at three different levels: origins and destinations, the areas surrounding them, and the routes connecting them. Nevertheless, the vast majority of research on the relationship between the built environment and travel has focused on origins and the areas surrounding them (the residential neighborhood), so our understanding of the influence of destinations and routes remains limited. In this paper, we develop a structural equations model to explain pedestrian commuting behavior, i.e., walking distance and number of walking trips, controlling for socioeconomic factors, attitudes, and commuting distance, while comparing the built environments of origins with those of destinations. The built environment was described by means of several global information systems (GIS)–based indicators reflecting density, diversity, design, and accessibility, using floating catchment areas for each building identified as an origin or destination of any trip. Our results show that the characteristics of destinations are significant predictors of walking behavior. Moreover, accessibility assumes a mediating role between the built environment and walking behavior, suggesting that it should be explicitly measured to explain that behavior and conceived not as an additional dimension of the built environment, but as a variable determined by it. Therefore, special attention should be paid towards urban planning of major urban destinations, since improving their multimodal accessibility and local walking conditions can contribute to increased walking activity.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
SiyiJi发布了新的文献求助10
刚刚
零慧发布了新的文献求助10
刚刚
zok发布了新的文献求助30
刚刚
刚刚
刚刚
1秒前
1秒前
星星发布了新的文献求助10
1秒前
Decadezb发布了新的文献求助10
1秒前
2秒前
1111完成签到,获得积分10
2秒前
2秒前
lyon发布了新的文献求助20
2秒前
丰富青文发布了新的文献求助10
2秒前
2秒前
Elige完成签到,获得积分10
3秒前
汉堡包应助YangeQH采纳,获得10
3秒前
阿兹卡班发布了新的文献求助10
3秒前
3秒前
3秒前
4秒前
4秒前
我是老大应助六六采纳,获得10
4秒前
September发布了新的文献求助10
5秒前
5秒前
西门凡双完成签到,获得积分10
6秒前
Elige发布了新的文献求助30
6秒前
jjjyyy完成签到,获得积分10
6秒前
6秒前
6秒前
Ms发布了新的文献求助10
6秒前
srics完成签到,获得积分10
7秒前
笨笨媚颜完成签到,获得积分10
7秒前
纯真忆秋完成签到,获得积分10
7秒前
LCC完成签到,获得积分10
7秒前
8秒前
Owen应助提莫采纳,获得10
8秒前
罗远远发布了新的文献求助10
8秒前
淡墨发布了新的文献求助10
8秒前
乐乐应助小龚采纳,获得10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
模型平均及其应用 900
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7334635
求助须知:如何正确求助?哪些是违规求助? 8948886
关于积分的说明 18987473
捐赠科研通 6988507
什么是DOI,文献DOI怎么找? 3217499
关于科研通互助平台的介绍 2383739
邀请新用户注册赠送积分活动 2197583