Spatio-temporal travel patterns of elderly people – A comparative study based on buses usage in Qingdao, China

Shao, Fengjing; Sui, Yi; Yu, Xiang; Sun, Rencheng

doi:10.1016/j.jtrangeo.2019.04.001

Cited by 63 publications

(41 citation statements)

References 41 publications

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“…Besides travel factors, sociodemographic and built environmental factors affecting this age groups' mode choice have been widely investigated. The studied sociodemographic factors in the literature mainly include gender, age, education, employment status, income, and household size (Shao et al 2019). The effects of physical health, size of social networks (e.g.…”

Section: Research Gapsmentioning

confidence: 99%

“…Haustein 2012), and car ownership (Chen et al 2004;Hjorthol et al 2010) have been also investigated in a number of studies. The studied built environmental factors mainly include population density, land use, recreation and green areas, and walking distance/time to the public transport stops (Shao et al 2019). Neighborhood accessibility measures (e.g.…”

Section: Research Gapsmentioning

confidence: 99%

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Shopping trip mode choice of older adults: an application of activity space and hybrid choice models in understanding the effects of built environment and personal goals

et al. 2019

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Rapid growth of the older population worldwide, coupled with their overreliance on automobile and its negative consequences for the environment and for their wellbeing, has encouraged research on travel behavior of this age group. This study contributes to the literature by providing an integrated analysis of the effects of sociodemographic, built environmental, psycho-social, trip, and activity space attributes on shopping trip mode choice of older adults in Helsinki Metropolitan Area. Data was collected using an online map-based survey. Two person-based activity space models were developed, in addition to the commonly used 500-m buffer, to measure activity space and built environmental attributes. Integrated Choice and Latent Variable (ICLV) models were utilized to explore modal choice. Although the use of activity space models did not significantly increase the fit of ICLV models, it provided different information. Walkability index showed a positive significant effect on walking trips in individualized residential exposure model. A positive effect on transit use or biking was found in individual home range and 500-m buffer. The shape and dispersion of activity spaces affected mode choice as well. Green space influenced the goal of being physically active which in turn affected mode choice. Three personal goals of being physically active, having cultural and social affairs, and caring for others influenced mode choice. Results indicate the priority of the use of activity space and hybrid choice models in understanding travel behavior. Findings of this study can guide policies aiming to increase the use of more sustainable modes among this age group.

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Section: Research Gapsmentioning

confidence: 99%

Section: Research Gapsmentioning

confidence: 99%

Shopping trip mode choice of older adults: an application of activity space and hybrid choice models in understanding the effects of built environment and personal goals

et al. 2019

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“…Due to ρ > 0, λ 1 j�0 < p 1 + ατ + δ i,j + C i . We obtain that n 1 i,j�0 � 0 based on equation (14). It is easy to verify that n 1 i�0,j�0 � q 1 i�0 at equilibrium.…”

Section: Scenario I (Qmentioning

confidence: 80%

“…In the public transit-oriented city, elderly passengers generally prefer to use the transit service during off-peak hours so as to stay away from commuting crowds in peak period [13]. Nevertheless, Shao et al [14] presents an intriguing finding that contradicts this generic rule. ey find that the percentage of elderly people taking buses is similar with that of younger people (around 10%) during the morning peak period.…”

Section: Introductionmentioning

confidence: 99%

Morning Peak-Period Pricing Surcharge of Elderly Passengers Taking Express Buses

Chen

et al. 2021

Journal of Advanced Transportation

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This study deals with the elderly fare pricing issue for taking express buses in the morning peak period. As many elderly passengers are not commuters, fare discount policy may not be an opportune option when buses get overcrowded. Imposing surcharge on the elderly becomes a potentially beneficial measure that encourages an appropriate number of elderly passengers to circumvent the most crowded buses. The elderly pricing surcharge problem is formulated as a bilevel model, in which the upper-level model is to make the pricing surcharge decision, and the lower-level model is the equilibrium passenger assignment that represents passengers’ bus choice behavior. It is classified into the special case and the generic case depending on the number of buses that impose surcharge. Several useful properties of two cases are analyzed, and a trial-and-error solution method is later developed to solve these two cases. Numerical experiments show that the elderly pricing surcharge scheme is not always applicable to all the demand scenarios, which owns a certain effective interval.

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“…Most of the existing spatial-temporal studies did not discuss elderly transport mode preferences and evaluate the trip pattern (travel duration, time of travel or trip purpose). Moreover, comparing the elderly mobility on weekdays and weekends [61] is ignored. Most of the literature discussed elderly spatial-temporal travel behaviour for weekdays.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial and Temporal Distribution of Elderly Public Transport Mode Preference

2021

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The elderly population is increasing rapidly. Understanding travel behaviour for this group of commuters (in terms of the trip purpose and travel time) is necessary for future transport planning. Many researchers are working on travel’s spatial and temporal analysis to provide operational decision making and transport network planning. This research study’s primary purpose is to identify the influence of trip duration (using public transport), time of the day (usage of public transport), and public transport (PT) accessibility over public transport mode preference by elderly (over 65 years of age) commuters. The methodology of this study is divided into two parts as spatial analysis and temporal analysis. The research identified the dependency of trip duration, time of the day, geographical areas, and PT access over transport mode preference of elderly. The temporal study shows that transport mode preference can vary depending on trip purposes. However, for specific trip durations and times of the day, the elderly sometimes choose PT as a mobility mode. For instance, on shopping trips between 10:00 and 11:00 a.m., the elderly have a greater possibility of choosing public transport over private vehicles. Moreover, the results show the public transport mode preference based on different times of the day and trip purposes. Urban and transport planner can use the results to modify/plan public transport schedule, which can be easily accessible by the elderly population.

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Spatio-temporal travel patterns of elderly people – A comparative study based on buses usage in Qingdao, China

Cited by 63 publications

References 41 publications

Shopping trip mode choice of older adults: an application of activity space and hybrid choice models in understanding the effects of built environment and personal goals

Shopping trip mode choice of older adults: an application of activity space and hybrid choice models in understanding the effects of built environment and personal goals

Morning Peak-Period Pricing Surcharge of Elderly Passengers Taking Express Buses

Spatial and Temporal Distribution of Elderly Public Transport Mode Preference

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