特色专题:绿色建筑与城市治理

老年人活力出行行为与建成环境的非线性关系

  • 魏东 ,
  • 杨林川 , *
展开
  • 西南交通大学建筑学院城乡规划系, 成都 611756
杨林川(通信作者), 教授, 研究方向为交通与土地利用的互动和规划, 电子信箱:

魏东, 博士研究生, 研究方向为建成环境与出行行为, 电子信箱:

收稿日期: 2024-04-20

  网络出版日期: 2025-04-19

基金资助

国家自然科学基金面上项目(52278080)

四川省杰出青年科学基金项目(2025NSFJQ0016)

四川省哲学社会科学规划一般项目(SC23TJ027)

唐仲英基金会项目(2022009)

版权

版权所有,未经授权,不得转载。

Non-linear relationship between older adults' active travel behavior and the built environment

  • Dong WEI ,
  • Linchuan YANG , *
Expand
  • Department of Urban and Rural Planning, School of Architecture, Southwest Jiaotong University, Chengdu 611756, China

Received date: 2024-04-20

  Online published: 2025-04-19

Copyright

All rights reserved. Unauthorized reproduction is prohibited.

摘要

活力出行不仅是老年人重要的体力活动方式,也是其日常出行的关键组成部分。然而,它与建成环境之间的非线性关系仍未得到充分揭示。研究基于成都市综合交通调查数据及多源大数据,构建可解释机器学习框架(随机森林融合SHAP模型),系统解析社区建成环境对老年人活力出行倾向的非线性影响。结果发现,健康设施可达性、步道率和绿视率是影响老年人活力出行倾向最为显著的建成环境要素。各建成环境变量与老年人活力出行倾向之间均呈现复杂的非线性关系,并表现出显著的“阈值”效应。健康设施可达性和绿视率等指标的影响是非对称的:低值带来的抑制作用远远大于高值的促进作用。

本文引用格式

魏东 , 杨林川 . 老年人活力出行行为与建成环境的非线性关系[J]. 科技导报, 2025 , 43(6) : 74 -83 . DOI: 10.3981/j.issn.1000-7857.2024.04.00319

1
于立, 王琪. 社区适老性及医养设施建设问题与规划设计对策思考: 以厦门为案例[J]. 城市发展研究, 2020, 27(10): 26- 31.

2
韩继文, 王墨晗, 李晋琦, 等. 国外老年友好社区评价体系的比较研究综述[J]. 建筑学报, 2024(2): 56- 62.

3
Ji Q , Yin M , Li Y , et al. Exploring the influence path of high-rise residential environment on the mental health of the elderly[J]. Sustainable Cities and Society, 2023, 98: 104808.

DOI

4
Althoff T , Sosič R , Hicks J L , et al. Large-scale physical activity data reveal worldwide activity inequality[J]. Nature, 2017, 547(7663): 336- 339.

DOI

5
Sun F , Norman I J , While A E . Physical activity in older people: A systematic review[J]. BMC Public Health, 2013, 13: 449.

DOI

6
黄建中, 马煜箫, 胡刚钰. 基于健康视角的老年人出行行为研究进展[J]. 科技导报, 2020, 38(7): 69- 75.

7
Liu Y , Wang X , Liu Y , et al. Using the hierarchy of active travel needs to examine associations between streetscape envi-ronments and older adults'active travel in China[J]. Journal of Transport&Health, 2024, 38: 101834.

8
Cervero R , Kockelman K . Travel demand and the 3Ds: Density, diversity, and design[J]. Transportation Research Part D: Transport and Environment, 1997, 2(3): 199- 219.

DOI

9
Ewing R , Cervero R . Travel and the built environment: A meta-analysis[J]. Journal of the American Planning Associa-tion, 2010, 76(3): 265- 294.

DOI

10
Zhang Z , Tang X , Shen Z , et al. Built-environment determi-nants of active travel behavior of older adults in Xiamen, China[J]. International Review for Spatial Planning and Sustainable Development, 2022, 10(4): 130- 145.

DOI

11
Yang Y , Sasaki K , Cheng L , et al. Does the built environ-ment matter for active travel among older adults: Insights from Chiba City, Japan[J]. Journal of Transport Geography, 2022, 101: 103338.

DOI

12
Cheng L , Chen X , Yang S , et al. Active travel for active ageing in China: The role of built environment[J]. Journal of Transport Geography, 2019, 76: 142- 152.

DOI

13
Yang Y , Xu Y , Rodriguez D A , et al. Active travel, public transportation use, and daily transport among older adults: The association of built environment[J]. Journal of Trans-port&Health, 2018, 9: 288- 298.

14
许家堆, 陈晓利, 刘柯良, 等. 社区建成环境对老年人活力出行的空间异质效应[J]. 北京交通大学学报, 2023, 47(3): 103- 111.

15
刘吉样, 肖龙珠, 王波. 建成环境对老年人活力出行的影响——基于极端梯度提升决策树的研究[J]. 科技导报, 39(8): 102- 111.

16
Yang Y , Sasaki K , Cheng L , et al. Gender differences in active travel among older adults: Non-linear built environ-ment insights[J]. Transportation Research Part D: Transport and Environment, 2022, 110: 103405.

DOI

17
Guo C , Jiang Y , Qiao R , et al. The nonlinear relationship between the active travel behavior of older adults and built environments: A comparison between an inner-city area and a suburban area[J]. Sustainable Cities and Society, 2023, 99: 104961.

DOI

18
Yang Y , He D , Gou Z , et al. Association between street greenery and walking behavior in older adults in Hong Kong[J]. Sustainable Cities and Society, 2019, 51: 101747.

DOI

19
魏东, 喻冰洁, 杨林川. 社区建成环境对老年人步行时长的响及优化策略——以成都市为例[J]. 新建筑, 2024(1): 98- 103.

20
Breiman L . Random forests[J]. Machine Learning, 2001, 45: 5- 32.

DOI

21
Yang L , Ao Y , Ke J , et al. To walk or not to walk?Examin-ing non-linear effects of streetscape greenery on walking propensity of older adults[J]. Journal of Transport Geogra-phy, 2021, 94: 103099.

DOI

22
Cheng L , Chen X , De Vos J , et al. Applying a random forest method approach to model travel mode choice behavior[J]. Travel Behaviour and Society, 2019, 14: 1- 10.

DOI

23
Lundberg S M , Erion G , Chen H , et al. From local explana-tions to global understanding with explainable AI for trees[J]. Nature Machine Intelligence, 2020, 2(1): 56- 67.

DOI

24
Dormann C F , Elith J , Bacher S , et al. Collinearity: A review of methods to deal with it and a simulation study evaluating their performance[J]. Ecography, 2013, 36(1): 27- 46.

DOI

25
Cheng L , De Vos J , Zhao P , et al. Examining non-linear built environment effects on elderly's walking: A random forest approach[J]. Transportation Research Part D: Transport and Environment, 2020, 88: 102552.

DOI

26
魏东, 杨林川. 建成环境与成都老年人步行频次的非线性关系和协同效应: 可解释机器学习分析[J]. 西部人居环境学刊, 2024, 39(6): 75- 82.

27
杨东峰, 王晓萌, 韩瑞娜. 建成环境对街道活力的非线性影响和交互效应: 以沈阳为例[J]. 城市规划学刊, 2023(5): 93- 102.

28
冯建喜, 杨振山. 南京市城市老年人出行行为的影响因素[J]. 地理科学进展, 2015, 34(12): 1598- 1608.

29
Yin G , Huang Z , Fu C , et al. Examining active travel behav-ior through explainable machine learning: Insights from Beijing, China[J]. Transportation Research Part D: Trans-port and Environment, 2024, 127: 104038.

DOI

30
Xiao L , Lo S , Liu J , et al. Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree[J]. Sustainable Cities and Society, 2021, 72: 103063.

31
李婧, 刘鑫宁, 张皓. 邻里尺度下建成环境更新对积极老龄化的促进[J]. 科技导报, 2021, 39(8): 77- 85.

32
杨林川, 喻冰洁, 梁源, 等. 多源大数据支持下的共享单车出行与空间品质耦合研究[J]. 西部人居环境学刊, 2023, 38(4): 47- 54.

33
马亮, 黄言, 曹新宇. 城市环境对积极交通出行的影响中西方研究比较[J]. 地理科学, 2024, 44(2): 216- 227.

34
Yang L , Lu Y , Cao M , et al. Assessing accessibility to peri-urban parks considering supply, demand, and traffic condi-tions[J]. Landscape and Urban Planning, 2025, 257: 105313.

文章导航

/