Exploring associations between urban green, street design and walking: Results from the Greater London boroughs

建筑环境 归一化差异植被指数 街道网 城市设计 地理 水平设计 有序逻辑 城市热岛 行人 可行走性 运输工程 环境科学 城市规划 计算机科学 气象学 统计 生态学 数学 气候变化 考古 工程类 游戏设计 人机交互 生物
作者
Chinmoy Sarkar,Chris Webster,Milton Pryor,Dorothy Tang,Scott Jennings Melbourne,Xiaohu Zhang,Jianzheng Liu
出处
期刊:Landscape and Urban Planning [Elsevier BV]
卷期号:143: 112-125 被引量:151
标识
DOI:10.1016/j.landurbplan.2015.06.013
摘要

In recent years, a series of studies have highlighted the positive effects of urban green on individual activity behaviour and health. In this paper, we examine salutogenic environment effects of urban green upon walking behaviour and how such effects are mediated by built environment configuration and street-level physical accessibility. The dwelling locations of N = 15,354 respondents of the London Travel Demand Survey were geocoded and individual walking behaviour was extracted from the travel diary. A 0.5-m resolution normalized difference vegetation (NDVI) index derived from spectral reflectance measurements in remotely sensed colour infrared data was employed as an objective measure of greenness, while density of street trees acted as proxy of perceived environmental quality in street corridors. A network model of street-level physical accessibility was developed using spatial Design Network Analysis (sDNA). Logistic regression models reported a significant association of odds of walking with density of street trees and street-level betweenness (a measure of street network connectivity), while sensitivity analyses with continuous regression models for participants doing some walking indicated beneficial associations of distance walked with NDVI greenness and street trees. The results illustrate the necessity for targeted intervention strategies in activity-friendly planning via greening and optimized physical design of urban built environments.
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