Literature DB >> 27575316

Urban density, diversity and design: Is more always better for walking? A study from Hong Kong.

Yi Lu1, Yang Xiao2, Yu Ye3.   

Abstract

Many cities in China have undergone rapid urbanization and are experiencing a decline in residents' physical activity levels. Previous studies have reported inconsistent findings on the association between 3D's (density, diversity, design) and walking behavior, and few studies have been conducted in China. The aim of this study was to identify the association between objectively measured 3D's and different domains of walking (transport vs. leisure) in Hong Kong, China. A survey was conducted in 2014 to collect walking data and relevant individual data from 1078 participants aged 18-65. The participants were randomly selected from 36 Hong Kong housing estates with different built environment and neighborhood socioeconomic status (SES). Built environment factors-population design, land-use mix and street intersection density-were assessed using a geographic information system. Multi-level regression was used to explore the associations between walking behavior and built environment factors, while adjusting for covariates. Two out the three D's-land-use mix and street connectivity-are not significantly related to any domains of walking. Furthermore, the third D, population density, is only positively related to walking for transport and walking for leisure in the lower range of density, while is negatively related to walking for leisure in the higher range of density. The findings suggest that the association between original 3D's and walking may vary in different urban contexts. The policy or planning strategy-using three D's to promote physical activity-may be ineffective or even counterproductive in large and already dense cities in China.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Built environment; Density; Neighborhood; Walking

Mesh:

Year:  2016        PMID: 27575316     DOI: 10.1016/j.ypmed.2016.08.042

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  16 in total

1.  Commuting Mode Choice in a High-Density City: Do Land-Use Density and Diversity Matter in Hong Kong?

Authors:  Yi Lu; Guibo Sun; Chinmoy Sarkar; Zhonghua Gou; Yang Xiao
Journal:  Int J Environ Res Public Health       Date:  2018-05-04       Impact factor: 3.390

2.  A Systematic Measurement of Street Quality through Multi-Sourced Urban Data: A Human-Oriented Analysis.

Authors:  Lingzhu Zhang; Yu Ye; Wenxin Zeng; Alain Chiaradia
Journal:  Int J Environ Res Public Health       Date:  2019-05-20       Impact factor: 3.390

3.  Influences of Built Environment with Hilly Terrain on Physical Activity in Dalian, China: An Analysis of Mediation by Perceptions and Moderation by Social Environment.

Authors:  Peijin Sun; Wei Lu; Yan Song; Zongchao Gu
Journal:  Int J Environ Res Public Health       Date:  2019-12-04       Impact factor: 3.390

4.  Inequality in physical activity, global trends by income inequality and gender in adults.

Authors:  Chastin Sfm; J Van Cauwenberg; L Maenhout; G Cardon; E V Lambert; D Van Dyck
Journal:  Int J Behav Nutr Phys Act       Date:  2020-11-26       Impact factor: 6.457

5.  Associations Between Built Environment Characteristics and Walking in Older Adults in a High-Density City: A Study From a Chinese Megacity.

Authors:  Hui He; Tingting Li; Yanwei Yu; Xiaowu Lin
Journal:  Front Public Health       Date:  2020-11-05

6.  Dimensions of Community Assets for Health. A Systematised Review and Meta-Synthesis.

Authors:  Pablo Alberto Sáinz-Ruiz; Javier Sanz-Valero; Vicente Gea-Caballero; Pedro Melo; Tam H Nguyen; Juan Daniel Suárez-Máximo; José Ramón Martínez-Riera
Journal:  Int J Environ Res Public Health       Date:  2021-05-27       Impact factor: 3.390

7.  Physical Activity Environment and Japanese Adults' Body Mass Index.

Authors:  Mohammad Javad Koohsari; Andrew T Kaczynski; Tomoya Hanibuchi; Ai Shibata; Kaori Ishii; Akitomo Yasunaga; Tomoki Nakaya; Koichiro Oka
Journal:  Int J Environ Res Public Health       Date:  2018-03-26       Impact factor: 3.390

8.  The Association of Urban Greenness and Walking Behavior: Using Google Street View and Deep Learning Techniques to Estimate Residents' Exposure to Urban Greenness.

Authors:  Yi Lu
Journal:  Int J Environ Res Public Health       Date:  2018-07-25       Impact factor: 3.390

9.  The Association of Built Environment and Physical Activity in Older Adults: Using a Citywide Public Housing Scheme to Reduce Residential Self-Selection Bias.

Authors:  Yi Lu; Long Chen; Yiyang Yang; Zhonghua Gou
Journal:  Int J Environ Res Public Health       Date:  2018-09-10       Impact factor: 3.390

10.  Exploring the Associations of Walking Behavior with Neighborhood Environments by Different Life Stages: A Cross-Sectional Study in a Smaller Chinese City.

Authors:  Ziwen Sun; Ka Yan Lai; Simon Bell; Iain Scott; Xiaomeng Zhang
Journal:  Int J Environ Res Public Health       Date:  2019-12-28       Impact factor: 3.390

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