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2
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本文引用的文献

1
Foot-based audit of streets adjacent to new light rail stations in Houston, Texas: measurement of health-related characteristics of the built environment for physical activity research.德克萨斯州休斯顿市新轻轨站附近街道的基于足部的审计:用于体力活动研究的建筑环境与健康相关特征的测量。
BMC Public Health. 2019 Feb 28;19(1):238. doi: 10.1186/s12889-019-6560-4.
2
Impact of new rapid transit on physical activity: A meta-analysis.新型快速交通对身体活动的影响:一项荟萃分析。
Prev Med Rep. 2018 Mar 11;10:184-190. doi: 10.1016/j.pmedr.2018.03.008. eCollection 2018 Jun.
3
Effects of active commuting and leisure-time exercise on fat loss in women and men with overweight and obesity: a randomized controlled trial.主动通勤和休闲时间运动对超重和肥胖女性和男性脂肪减少的影响:一项随机对照试验。
Int J Obes (Lond). 2018 Mar;42(3):469-478. doi: 10.1038/ijo.2017.253. Epub 2017 Oct 10.
4
The Role of Personality Traits through Habit and Intention on Determining Future Preferences of Public Transport Use.人格特质通过习惯和意图在决定未来公共交通使用偏好方面的作用。
Behav Sci (Basel). 2017 Feb 17;7(1):8. doi: 10.3390/bs7010008.
5
The Effect of Light Rail Transit on Physical Activity: Design and Methods of the Travel-Related Activity in Neighborhoods Study.轻轨交通对身体活动的影响:邻里出行相关活动研究的设计与方法。
Front Public Health. 2016 Jun 9;4:103. doi: 10.3389/fpubh.2016.00103. eCollection 2016.
6
School-travel by public transit: Rethinking active transportation.乘坐公共交通上学出行:重新思考主动出行方式。
Prev Med Rep. 2015;2:65-70. doi: 10.1016/j.pmedr.2015.01.004.
7
The tracking of active travel and its relationship with body composition in UK adolescents.英国青少年主动出行的追踪及其与身体成分的关系。
J Transp Health. 2015 Dec;2(4):483-489. doi: 10.1016/j.jth.2015.09.005.
8
Public transit generates new physical activity: Evidence from individual GPS and accelerometer data before and after light rail construction in a neighborhood of Salt Lake City, Utah, USA.公共交通带来了新的身体活动:来自美国犹他州盐湖城一个社区轻轨建设前后个人GPS和加速度计数据的证据。
Health Place. 2015 Nov;36:8-17. doi: 10.1016/j.healthplace.2015.08.005. Epub 2015 Sep 1.
9
Associations between active commuting, body fat, and body mass index: population based, cross sectional study in the United Kingdom.主动通勤、体脂与体重指数之间的关联:基于英国人群的横断面研究
BMJ. 2014 Aug 19;349:g4887. doi: 10.1136/bmj.g4887.
10
Predicting the use of public transportation: a case study from Putrajaya, Malaysia.预测公共交通的使用情况:以马来西亚布城为例的研究。
ScientificWorldJournal. 2014;2014:784145. doi: 10.1155/2014/784145. Epub 2014 Jul 9.

美国得克萨斯州休斯敦市使用轻轨交通的意向:邻里出行相关活动研究的结果

Intention to use light-rail transit in Houston, Texas, United States: Findings from the Travel-Related Activity in Neighborhoods study.

作者信息

Sener Ipek N, Lee Kyuhyun, Durand Casey P, Oluyomi Abiodun O, Kohl Harold W

机构信息

Texas A&M Transportation Institute, The Texas A&M University System, Austin, Texas, USA.

Texas A&M Transportation Institute, The Texas A&M University System, College Station, Texas, USA.

出版信息

Int J Sustain Transp. 2020;14(12):944-955. doi: 10.1080/15568318.2019.1663962. Epub 2019 Sep 12.

DOI:10.1080/15568318.2019.1663962
PMID:33013246
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7531275/
Abstract

Using data from the Houston Travel-Related Activity in Neighborhoods (TRAIN) study, this study examined how various factors affect whether individuals intend to use newly opened light-rail transit (LRT) lines in Houston. The Houston TRAIN study is a natural experiment on the effect of new LRT lines on both transit use and physical activity. A mixed binary logit model was developed based on a dichotomous dependent variable and rich set of variables, including sociodemographic factors, health status, travel behavior and technology, and attitudes and perceptions. The mixed model also allowed accounting for the unobserved heterogeneity across individuals in their sensitivity to observed variables. The results indicated the important role of various factors influencing the decision on intent to use the new LRT lines. In general, demographics mattered but to a lower extent than psychological or personality-related variables. For example, attitudes and perceptions toward the public transit system and consciousness of physical activities derived by using public transit were important factors. Personal health constraints negatively influenced intention to use, while experience with the public transport system was among the positive indicators. The findings show the potential of future interventions in this community to promote use of the new system, such as educational campaigns that improve perceptions of public transit use and clarify the benefits of being active. While providing growing evidence that cognitive variables are important in measuring intention to use public transit, the results emphasize the positive role of efforts integrating transportation and health to develop effective and sustainable solutions.

摘要

本研究利用休斯顿邻里与出行相关活动(TRAIN)研究的数据,考察了各种因素如何影响个人是否打算使用休斯顿新开通的轻轨交通(LRT)线路。休斯顿TRAIN研究是一项关于新轻轨线路对交通使用和身体活动影响的自然实验。基于一个二分因变量和一系列丰富的变量,包括社会人口统计学因素、健康状况、出行行为和技术,以及态度和认知,开发了一个混合二元logit模型。该混合模型还考虑了个体对观测变量敏感度方面未观测到的异质性。结果表明,各种因素在影响使用新轻轨线路意图的决策中发挥着重要作用。总体而言,人口统计学因素很重要,但程度低于心理或与个性相关的变量。例如,对公共交通系统的态度和认知以及使用公共交通所带来的身体活动意识是重要因素。个人健康限制对使用意图有负面影响,而公共交通系统的使用经验则是积极指标之一。研究结果显示了未来在该社区进行干预以促进新系统使用的潜力,比如开展教育活动,改善对公共交通使用的认知并阐明积极活动的益处。虽然越来越多的证据表明认知变量在衡量使用公共交通的意图方面很重要,但结果强调了整合交通与健康以制定有效且可持续解决方案的努力所发挥的积极作用。