老年人包容和安全的出行需求:对老年友好型城市和社区的启示

IF 2.1 Q3 ENVIRONMENTAL SCIENCES Urban science (Basel, Switzerland) Pub Date : 2023-10-06 DOI:10.3390/urbansci7040103
Anthony Jnr. Bokolo
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引用次数: 0

摘要

市政当局关注通过增加社会中所有群体获得交通设施和服务的机会,从而为所有公民创造公平和平等的机会,解决诸如流动性、包容性和安全等社会问题。此外,城市提供的公共交通系统必须具有包容性和安全性,由新兴技术驱动,如基于人工智能(AI)的服务,提供个性化推荐,以改善社会中所有公民的出行包容性和安全性,特别是老年人或老年人等弱势道路使用者。但目前,很少有研究调查市政当局如何为老年人,特别是65岁及以上的老年人提供包容和安全的公共交通。因此,本研究旨在探讨如何为老年人提供包容和安全的出行方式,以改善老年人在老年人友好城市和社区的外出出行服务。因此,采用基于二手数据的系统文献综述来调查老年人的包容和安全的移动需求。数据收集自之前的研究和现有文件,并进行描述性数据分析,以提供与老年人相关的城市交通政策的见解。此外,通过案例研究,介绍了挪威、加拿大、美国、英国、瑞典和北爱尔兰采用的政策和战略,以确定为满足老龄化社会的公共交通需求而采取的措施,重点是为老年人提供包容和安全的交通。这项研究的进一步发现包括可能使用基于人工智能的机器学习等新兴技术来实现包容性和安全的移动性。
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Inclusive and Safe Mobility Needs of Senior Citizens: Implications for Age-Friendly Cities and Communities
Municipalities are concerned with addressing social issues such as mobility inclusion and safety by increasing access to transport facilities and services for all groups in society to create equitable and equal access for all citizens. Moreover, the public transportation systems provided in cities have to be inclusive and safe, driven by emerging technologies such as Artificial Intelligence (AI)-based services that provide personalized recommendation to improve mobility inclusion and safety for all citizens in society, especially vulnerable road users such as senior citizens or older people. But at the moment, there are few studies that have investigated how municipalities can provide inclusive and safe public transportation in general and for senior citizens, particularly those aged 65 and above. Therefore, this study aimed to examine how to provide inclusive and safe mobility for senior citizens to improve out-of-home mobility services for senior citizens towards age-friendly cities and communities. Accordingly, a systematic literature review grounded on secondary data was adopted to investigate inclusive and safe mobility needs for senior citizens. The data were collected from previous research and existing documents, and a descriptive data analysis was carried out to provide insights on urban transportation policies related to senior citizens. Furthermore, case studies were adopted to present polices and strategies employed in Norway, Canada, the United States of America, the United Kingdom, Sweden, and Northern Ireland to identify measures employed to address the public transportation needs of an aging society, focusing on the provision of inclusive and safe mobility to senior citizens. Further findings from this study included the possible use of emerging technologies such as AI-based machine learning for inclusive and safe mobility.
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来源期刊
CiteScore
4.30
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0.00%
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审稿时长
11 weeks
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