“How Far Is the Closest Bus Stop?” An Evaluation of Self-Reported versus GIS-Computed Distance to the Bus among Older People and Factors Influencing Their Perception of Distance

Author:

Balducci Francesco1ORCID,Ståhl Agneta2,Svensson Ola3,Jonsson Benny3,Westerlund Yngve4,Dolcini Jacopo5,Chiatti Carlos1ORCID

Affiliation:

1. Tech4Care SRL, Via Primo Maggio, 20, 60131 Ancona, Italy

2. Transport and Roads, Lund University, 22002 Lund, Sweden

3. Lunds Kommun, 22223 Lund, Sweden

4. MobistikUtveckling, 41469 Göteborg, Sweden

5. Department of Biomedical Sciences and Public Health, Section of Hygiene Preventive Medicine, and Public Health, Università Politecnica delle Marche, 60131 Ancona, Italy

Abstract

Previous research showed that living closer to bus stops could be a factor in promoting a healthy and active lifestyle. However, most of the studies relied on self-reported measures of distance, which might be affected by several confounders. In this study, self-reported distances among study participants were compared to actual ones, computed by the use of GIS (Geographic Information System) technology and routing algorithms. We tested whether distance to the bus stop is associated with health and socioeconomic conditions of the respondents, using data among 2398 older people (75–90 years) in three cities in Sweden. We found that several variables including older age, female gender, living alone, and worse health status are associated with an over-estimation of bus stop distance. People who use public transport daily or several times a week and are satisfied with the walking environment in the neighbourhood tend to underestimate bus stop distances. Evidence based on self-reported measures only should be treated cautiously. Considering the limitations still present in open-data-based routing algorithms, the best indication is to combine the subjective with the objective measure of distance. Having the possibility to combine the two measures appears as a sound strategy to overcome the limitations associated with each single measure.

Funder

Centre for Ageing and Supportive Environment (CASE) at Lund University

Publisher

MDPI AG

Subject

Industrial and Manufacturing Engineering,Materials Science (miscellaneous),Business and International Management

Reference36 articles.

1. Mobility Decline in Old Age;Rantakokko;Exerc. Sport Sci. Rev.,2013

2. Age-Related Change in Mobility: Perspectives From Life Course Epidemiology and Geroscience;Ferrucci;J. Gerontol. Ser. A Biol. Sci. Med. Sci.,2016

3. A comparison of health expectancies over two decades in England: Results of the Cognitive Function and Ageing Study I and II;Jagger;Lancet,2016

4. OECD (2017). Preventing Ageing Unequally, OECD Publishing.

5. Kinetic Values, Mobility (in)equalities, and Ageing in Smart Urban Environments;Parviainen;Ethic Theory Moral Pract.,2021

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3