Characterisation of elderly daily travel behaviour in Tianjin using a space–time cube

Zhang, Sen; Zhang, Ke; Liu, Xiaoyang; Zeng, Jing; Liu, Yan; Lian, Zhao

doi:10.1177/23998083211019756

Cited by 8 publications

(6 citation statements)

References 37 publications

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“…According to relevant research results ( Jaeger and Bowman, 2005 ; Wen et al, 2014 ; Qianwen et al, 2016 ; Sen et al, 2021 ), seven types of urban spaces—residential communities, vegetable markets, bus stops, parks, shopping streets, hospitals, and urban functional departments—have high travel frequency. Based on these urban spaces, a total of 24 scenes were selected in this study; all scenes were outdoors.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of the Visually Impaired Experience of the Sound Environment in Urban Spaces

Zhang

et al. 2022

Front. Psychol.

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Visually impaired people have unique perceptions of and usage requirements for various urban spaces. Therefore, understanding these perceptions can help create reasonable layouts and construct urban infrastructure. This study recruited 26 visually impaired volunteers to evaluate 24 sound environments regarding clarity, comfort, safety, vitality, and depression. This data was collected in seven different types of urban spaces. An independent sample non-parametric test was used to determine the significance of the differences between environmental evaluation results for each evaluation dimension and to summarize the compositions of sound and space elements in the positive and negative influence spaces. The results suggested that visually impaired people (1) feel comfort, safety, and clarity in parks, residential communities, and shopping streets; (2) have negative perceptions of vegetable markets, bus stops, hospitals, and urban departments; (3) feel anxious when traffic sounds, horn sounds, manhole cover sounds, and construction sounds occur; and (4) prefer spaces away from traffic, with fewer and slower vehicles, with a suitable space scale, and moderate crowd density. These results provide a reference for the future design of activity venues (i.e., residential communities, vegetable markets, bus stops, parks, shopping streets, hospitals, and urban functional departments) and the planning of accessibility systems for visually impaired urban residents.

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Section: Methodsmentioning

confidence: 99%

Evaluation of the Visually Impaired Experience of the Sound Environment in Urban Spaces

Zhang

et al. 2022

Front. Psychol.

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“…Yanagihara [17] found that older adults with good physical health were more likely to drive to their destinations. Zhang et al [18] found that older adults' travel time was mainly related to the purpose of travel, with bicycles used for shorter travel times rather than walking.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Comfortable environments promote active travel among older adults. Travel time is an important indicator of perception and travel behavior [18,23]. It can also measure the intensity of physical activity in older adults [32].…”

Section: Literature Reviewmentioning

confidence: 99%

Influence of the Built Environment on Older Adults’ Travel Time: Evidence from the Nanjing Metropolitan Area, China

Sun

Zhu

Han

et al. 2023

Land

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The built environment is among the critical factors in older adults’ travel behavior, and a favorable built environment can encourage them to travel and engage in various activities. Existing studies have mostly focused on exploring the correlation between the built environment and travel behavior, ignoring the heterogeneity between the two at different times of the day. In this study, we conducted structured, face-to-face interviews in the Nanjing (China) metropolitan area to investigate the time consumed per trip by older adults using various travel modes and used the structural equation and random forest models to explore the relationship between the built environment and older adults’ travel time. The results demonstrated that older adults had different perspectives on travel during different time periods. Different environments and the convenience of destinations affected their overall satisfaction during travel. We found a nonlinear relationship between the built environment and travel time. Metropolitan street connectivity initially had a positive effect on travel time until a certain threshold or peak, whereafter a gradual decline ensued. This nonlinear relationship also existed between the proportion of green space and the distance to subway stations. These results can guide the retrofitting and construction of age-friendly metropolitan infrastructure facilities that promote older adults’ mobility.

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“…The study results show that public service facilities have a strong impact on connectivity between different places. Statistics and analysis results show there are mainly 6 kinds of travel behaviors of the elderly, which include visiting and shopping [35].…”

Section: Literature Reviewmentioning

confidence: 99%

A Data-Driven Framework for Analyzing Spatial Distribution of the Elderly Cardholders by Using Smart Card Data

Shi

Liu

Lai

et al. 2021

IJGI

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In this era of population aging, it is essential to understand the spatial distribution patterns of the elderly. Based on the smart card data of the elderly, this study aims to detect the home location and examine the spatial distribution patterns of the elderly cardholders in Beijing. A framework is proposed that includes three methods. First, a rule-based approach is proposed to identify the home location of the elderly cardholders based on individual travel pattern. The result has strong correlation with the real elderly population. Second, the clustering method is adopted to group bus stops based on the elderly travel flow. The center points of clusters are utilized to construct a Voronoi diagram. Third, a quasi-gravity model is proposed to reveal the elderly mobility between regions, using the public facilities index. The model measures the elderly travel number between regions, according to public facilities index on the basis of the total number of point of interest (POI) data. Beijing is used as an example to demonstrate the applicability of the proposed methods, and the methods can be widely used for urban planning, design and management regarding the aging population.

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Characterisation of elderly daily travel behaviour in Tianjin using a space–time cube

Cited by 8 publications

References 37 publications

Evaluation of the Visually Impaired Experience of the Sound Environment in Urban Spaces

Evaluation of the Visually Impaired Experience of the Sound Environment in Urban Spaces

Influence of the Built Environment on Older Adults’ Travel Time: Evidence from the Nanjing Metropolitan Area, China

A Data-Driven Framework for Analyzing Spatial Distribution of the Elderly Cardholders by Using Smart Card Data

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