科技导报 >

2025 , Vol. 43 >Issue 6: 65 - 73

DOI: https://doi.org/10.3981/j.issn.1000-7857.2024.04.00321

特色专题：绿色建筑与城市治理

年龄与儿童日常出行行为的非线性关系

  • 敖仪斌 , 1 ,
  • 龙毅 , 1, * ,
  • 唐雨欣 1 ,
  • 李海梅 2
展开
  • 1. 成都理工大学环境与土木工程学院, 成都 610059
  • 2. 成都理工大学文法学院, 成都 610059
龙毅(通信作者), 硕士研究生, 研究方向为儿童发展, 电子信箱:

敖仪斌, 教授, 研究方向为农村建成环境与村民日常活动行为关系、工程管理、乡村规划与建设, 电子信箱:

收稿日期: 2024-04-12

  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(72171028)

中国博士后科学基金特别资助项目(2022T150077)

中国博士后科学基金面上项目(2022M710496)

版权

版权所有，未经授权，不得转载。
收起

The nonlinear relationship between age and children's daily travel behavior

  • Yibin AO , 1 ,
  • Yi LONG , 1, * ,
  • Yuxin TANG 1 ,
  • Haimei LI 2
Expand
  • 1. College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, China
  • 2. Humanities and Law School, Chengdu University of Technology, Chengdu 610059, China

Received date: 2024-04-12

  Online published: 2025-04-19

Copyright

All rights reserved. Unauthorized reproduction is prohibited.
Fold

摘要

了解不同年龄阶段儿童的出行特征，对建设儿童友好型社区具有重要意义。以成都市双流区为例，开展儿童出行特征调查，利用随机森林模型，考察了儿童年龄与其日常出行行为的非线性关系。结果表明：儿童年龄是家庭社会人口特征中影响儿童出行行为最重要的因素，特别是在出行陪伴方式中，相对重要性达到了25.37%；儿童出行方式随年龄变化呈现非线性特征，儿童出行方式随年龄变得更独立和多样化；出行陪伴方式和目的地选择也呈现年龄非线性特征，特别是在14岁后，儿童更倾向于选择独自出行和朋友陪伴，同时出行距离也开始显著上升。

关键词： 儿童年龄; 出行行为; 非线性; 儿童友好型社区

本文引用格式

敖仪斌 , 龙毅 , 唐雨欣 , 李海梅 . 年龄与儿童日常出行行为的非线性关系[J]. 科技导报, 2025 , 43(6) : 65 -73 . DOI: 10.3981/j.issn.1000-7857.2024.04.00321

参考文献

原文顺序 | 文献年度倒序 | 文中引用次数倒序
1
Xu M , Tim G , Mao P , et al. International certification mechanism of "child friendly cities (communities)" and related practices and theoretical developments of european and American cities[J]. Urban Planning International, 2021, 36(1): 1- 7.

2
Wang Y . Research on the construction of children friendly city: from the perspective of multi-center governance[J]. Urban Studies,

DOI

3
曾乙珍. 基于儿童友好理念下自主通学环境研究[D]. 绵阳: 西南科技大学, 2023.

4
Wilson K , Clark A F , Gilliland J A . Understanding child and parent perceptions of barriers influencing children's active school travel[J]. BMC Public Health, 2018, 18: 14.

DOI

5
Lin J J , Yu T P . Built environment effects on leisure travel for children: Trip generation and travel mode[J]. Transport Policy, 2011, 18(1): 246- 258.

DOI

6
Hao J , Zhang L , Wu X , et al. Children's school travel mode choice considering customized travel[J]. Journal of Transpora-tion Systems Engineering&Information Technology, 2020, 20(1): 111- 116.

7
Stark J , Singleton P A , Uhlmann T . Exploring children's school travel, psychological well-being, and travel-related atti-tudes: Evidence from primary and secondary school children in Vienna, Austria[J]. Travel Behaviour and Society, 2019, 16: 118- 130.

DOI

8
汤优, 张蕊, 杨静, 等. 北京市学龄儿童通学出行行为特征分析[J[J]. 交通工程, 2017, 17(2): 53- 57.

9
Waygood E O D , Friman M , Olsson L E , et al. Transport and child well-being: An integrative review[J]. Travel Behaviour and Society, 2017, 9: 32- 49.

DOI

10
Li M , Song G H , Cheng Y , et al. Identification of prior factors influencing the mode choice of short distance travel[J]. Discrete Dynamics in Nature and Society, 2015, 2015(1): 795176.

11
D'haese S , De Meester F , De Bourdeaudhuij I , et al. Crite-rion distances and environmental correlates of active commuting to school in children[J]. International Journal of Behavioral Nutrition and Physical Activity, 2011, 8: 10.

DOI

12
Larouche R , Saunders T J , Faulkner G E J , et al. Associa-tions between active school transport and physical activity, body composition, and cardiovascular fitness: A Systematic Review of 68 Studies[J]. Joumal of physical Activity and health, 2014, 11(1): 206- 227.

DOI

13
Larouche R . Built environment features that promote cycling in school-aged children[J]. Current obesity reports, 2015, 4(4): 494- 503.

DOI

14
Herrador-Colmenero M , Villa-González E , Chillón P . Chil-dren who commute to school unaccompanied have greater autonomy and perceptions of safety[J]. Acta Paediatrica, 2017, 106(12): 2042- 2047.

DOI

15
Janssen I , Leblanc A G . Systematic review of the health benefits of physical activity and fitness in school-aged chil-dren and youth[J]. International journal of behavioral nutri-tion and physical activity, 2010, 7: 16.

DOI

16
Ness A R , Leary S D , Mattocks C , et al. Objectively measured physical activity and fat mass in a large cohort of children[J]. PLoS medicine, 2007, 4(3): 476- 484.

17
Schoeppe S , Duncan M J , Badland H M , et al. Associations between children's active travel and levels of physical activ-ity and sedentary behavior[J]. Journal of Transport&Health, 2015, 2(3): 336- 342.

18
Larsen K , Gilliland J , Hess P M . Route-based analysis to capture the environmental influences on a child's mode of travel between home and school[J]. Annals of the Associa-tion of American Geographers, 2012, 102(6): 1348- 1365.

DOI

19
Susilo Y O , Liu C X . The influence of parents'travel patterns, perceptions and residential self-selectivity to their children travel mode shares[J]. Transportation, 2016, 43(2): 357- 378.

DOI

20
Van Den Berg P , Waygood E O D , Van De Craats I , et al. Factors affecting parental safety perception, satisfaction with school travel and mood in primary school children in the Netherlands[J]. Journal of Transport&Health, 2020, 16: 11.

21
Pabayo R , Gauvin L , Barnett T A . Longitudinal changes in active transportation to school in canadian youth aged 6 through 16 years[J]. Pediatrics, 2011, 128(2): E404- E413.

DOI

22
Ikeda E , Mavoa S , Cavadino A , et al. Keeping kids safe for active travel to school: A mixed method examination of school policies and practices and children's school travel behaviour[J]. Travel Behaviour and Society, 2020, 21: 57- 68.

DOI

23
刘吉祥, 肖龙珠, 周江评, 等. 建成环境与青少年步行通学的非线性关系——基于极限梯度提升模型的研究[J]. 地理科学进展, 2022, 41(2): 251- 263.

24
仝照民, 安睿, 刘耀林. 建成环境对居民通勤方式选择的影响——以武汉市城中村为例[J]. 地理科学进展, 2021, 40(12): 2048- 2060.

25
Yang L , Yang H , Yu B , et al. Exploring non-linear and synergistic effects of green spaces on active travel using crowdsourced data and interpretable machine learning[J]. Travel Behaviour and Society, 2024, 34: 100673.

DOI

26
Cheng L , De Vos J , Zhao P J , et al. Examining non-linear built environment effects on elderly's walking: A random forest approach[J]. Transportation Research Part D-Trans-port and Environment, 2020, 88: 11.

27
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, 2021, 39(8): 102- 111.

28
Yang L , Yu B , Liang Y , et al. Time-varying and non-linear associations between metro ridership and the built environ-ment[J]. Tunnelling and Underground Space Technology, 2023, 132: 104931.

DOI

29
Breiman L . Random forests[J]. Mach Learn, 2001, 45(1): 5- 32.

DOI

30
Hagenauer J , Helbich M . A comparative study of machine learning classifiers for modeling travel mode choice[J]. Expert Systems with Applications, 2017, 78: 273- 282.

DOI

31
Zhao X , Yan X , Yu A , et al. Prediction and behavioral anal-ysis of travel mode choice: A comparison of machine learn-ing and logit models[J]. Travel Behaviour and Society, 2020, 20: 22- 35.

DOI

32
Khajavi H , Rastgoo A . Predicting the carbon dioxide emis-sion caused by road transport using a Random Forest (RF) model combined by Meta-Heuristic Algorithms[J]. Sustain-able Cities and Society, 2023, 93: 18.

33
Mcintosh C , Svistoun I , Purdie T G . Groupwise conditional random forests for automatic shape classification and contour quality assessment in radiotherapy planning[J]. IEEE Transactions on Medical Imaging, 2013, 32(6): 1043- 1057.

DOI

34
Zhou L , Dang X W , Sun Q K , et al. Multi-scenario simula-tion of urban land change in Shanghai by random forest and CA-Markov model[J]. Sustainable Cities and Society, 2020, 55: 10.

35
Auret L , Aldrich C . Interpretation of nonlinear relationships between process variables by use of random forests[J]. Minerals Engineering, 2012, 35: 27- 42.

DOI

36
Yang L , Shami A . On hyperparameter optimization of machine learning algorithms: Theory and practice[J]. Neuro-computing, 2020, 415: 295- 316.

37
Cheng L , Chen X W , De Vos J , et al. Applying a random forest method approach to model travel mode choice behav-ior[J]. Travel Behaviour and Society, 2019, 14: 1- 10.

DOI

38
Ma J , Mahat P , Brondbo P H , et al. Family correlates of emotional and behavioral problems in Nepali school chil-dren[J]. PLoS One, 2022, 17(1): 17.

39
张蕊, 林霖, 杨静. 学龄儿童出行方式特征及其影响因素[J]. 城市交通, 2014, 12(2): 78- 83.

40
孟雪, 李玲玲, 付本臣. 国外儿童独立活动性研究进展与启示[J]. 人文地理, 2019, 34(4): 20- 31.

41
Carver A , Timperio A , Hesketh K , et al. Are children and adolescents less active if parents restrict their physical activ-ity and active transport due to perceived risk?[J]. Social science&medicine, 2010, 70(11): 1799- 1805.

42
严海, 张文萍, 李娜, 等. 基于儿童特性和动机的亲子假日出行机理研究[J]. 武汉理工大学学报, 2017, 39(3): 45- 52.

43
张芯, 许伊婷, 汤优, 等. 二孩政策下学龄儿童通学出行行为及优化策略[J]. 城市交通, 2020, 18(2): 30- 36.

44
孟雪, 李玲玲, 付本臣. 基于小学学龄儿童户外休闲活动实态调查的邻里建成环境优化设计研究[J]. 建筑学报, 2020(S2): 164- 170.

45
Mcdonald N C . Children's mode choice for the school trip: The role of distance and school location in walking to school[J]. Transportation, 2008, 35(1): 23- 35.

46
Hjorthol R . Daily mobility of men and women-a barometer of gender equality?[M]. London: Gendered mobilities.Rout-ledge, 2016: 193- 210.

47
Fyhri A , Hjorthol R . Children's independent mobility to school, friends and leisure activities[J]. Journal of transport geography, 2009, 17(5): 377- 384.

Options
文章导航

/

〈 〉

联系我们

  • 地址：北京市海淀区学院南路86号科技导报社　邮编：100081
  • 电话：010-62138113　传真：010-62138113
  • E-mail：kjdbbjb@cast.org.cn

    • 访问统计

      总访问量
      今日访问
      在线人数
    科技导报官方微信公众号
    京ICP备14028469号-1　
    版权所有 © 《科技导报》编辑部