Active travel for active ageing in China: The role of built environment

Cheng, Long; Chen, Xuewu; Yang, Shuo; Cao, Zhan; Vos, Jonas De; Witlox, Frank

doi:10.1016/j.jtrangeo.2019.03.010

Cited by 158 publications

(130 citation statements)

References 45 publications

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“…As discussed above, in order to obtain the optimal link tolls, we need to solve problem (14), which requires the demand for each OD pair as its input. However, existing origin-destination survey or data collection technology is not able to evaluate the OD demand precisely [39][40][41][42]. To deal with this issue, Yang et al [11] developed a trial-and-error congestion pricing method to find the system optimal link flows and link tolls.…”

Section: E Trial-and-error Congestion Pricing Methods With Day-mentioning

confidence: 99%

A Trial‐and‐Error Congestion Pricing Method for Day‐to‐Day Dynamic Network Flows considering Travelers’ Heterogeneous Inertia Patterns

Zhou

Zhang

2019

Mathematical Problems in Engineering

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is study proposes a trial-and-error congestion pricing method to achieve system optimum under day-to-day flow dynamics with unknown demand. Travelers are assumed to adjust their route choice day by day so that the resultant traffic flow under a trial of tolls evolves from one day to another. We rigorously demonstrate that if psychological inertia is considered in travelers' day-today route choice behavior, the convergence of the proposed trial-and-error congestion pricing method can be guaranteed without requiring the observed network flows to be in user equilibrium. Furthermore, the proposed method also allows tolls to be updated at irregular time intervals, which greatly relaxes the implementation requirements of existing congestion pricing schemes in the literature. is study is very significant from a practical point of view because it provides a flexibility approach that greatly reduces the implementation time of the traditional trial-and-error congestion pricing method. Numerical experiments are conducted to validate our theoretical findings.

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Section: E Trial-and-error Congestion Pricing Methods With Day-mentioning

confidence: 99%

A Trial‐and‐Error Congestion Pricing Method for Day‐to‐Day Dynamic Network Flows considering Travelers’ Heterogeneous Inertia Patterns

Zhou

Zhang

2019

Mathematical Problems in Engineering

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“…van den Berg et al [8] found that women make more trips than men, but an earlier study by Stern [40] found that women make less trips than men. Cheng et al [26] also revealed that male respondents complete more trips than women.…”

Section: Introductionmentioning

confidence: 96%

“…Travel behavior analysis is the basis of transportation planning and management [9]. A hasty generalization In some studies, the relationship between elderly travel and quality of life was indeterminate because other behavioral factors might have stronger effects on elderly travel [5,[26][27][28].…”

Section: Introductionmentioning

confidence: 99%

“…When mode of transportation was investigated, many studies [26,[42][43][44] found that the elderly depend more on private transportation (car) as their main transportation. Dependence on private transportation has long-term effects on the environment as well as elderly wellbeing, as indicated by Li et al [44], as the use of cars decreases with age.…”

Section: Introductionmentioning

confidence: 99%

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Travel Behavior of Elderly in George Town and Malacca, Malaysia

2019

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We investigated the travel behavior of the elderly in two United Nations Educational, Scientific and Cultural Organization UNESCO Heritage Cities in Malaysia, George Town and Malacca, to assess the commonalities and differences in the mobility of the elderly and to analyze the factors influencing the mobility of the elderly. We relied upon a one-day travel diary where the elderly recorded their trip information including trip category, mode of travel, and distance travelled. A total of 455 travel diaries were completed and analyzed using descriptive analysis and Poisson estimation with the number of trips as the dependent variable. We found that the elderly in both cities recorded no more than five trips per day, travelled mostly within a distance of five kilometers, and chose private transportation as their preferred mode of transportation. Factors statistically significantly influencing the elderly’s trip frequency included location (city), education level, private vehicle ownership, health condition, and engagement in exercise. Findings from this study suggest that authorities need to strategize transportation planning to encourage mobility among the elderly without compromising the heritage status of both cities.

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“…In addition, the door width and the number of doors can also influence the alighting and boarding process time [5,10,[15][16][17][18][19][20]. The alighting and boarding time of buses with four doors is 17% less than those with three doors, and the optimum door width is between 1.7 and 1.8 m. The horizontal and vertical gap between the doors and the platform can affect the alighting and boarding time [9,11,[21][22][23]. The larger the gap, the longer is the alighting and boarding time, and Sebastian et al (2015) also found that different sizes of the keep-out zone and passenger organizing modes can influence the time of that process [22].These factors mentioned above all stem from the infrastructure of the metro station and the vehicle.…”

mentioning

confidence: 99%

Optimization of Metro Passenger Organizing of Alighting and Boarding Processes: Simulated Evidence from the Metro Station in Nanjing, China

Gao

et al. 2019

Sustainability

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Since the long dwell time and chaotic crowds make metro trips inefficient and dissatisfying, the importance of optimizing alighting and boarding processes has become more prominent. This paper focuses on the adjustment of passenger organizing modes. Using field data from the metro station in Nanjing, China, a micro-simulation model of alighting and boarding processes based on an improved social force paradigm was built to simulate the movement of passengers under different passenger organizing modes. Unit flow rate, delay, and social force work (SFW) jointly reflect the efficiency and, especially, the physical energy consumption of passengers under each mode. It was found that when passengers alighted and boarded by different doors, efficiency reached its optimal level which was 76.92% higher than the status quo of Nanjing, and the physical energy consumption was reduced by 16.30%. Both the findings and the model can provide support for passenger organizing in metro stations, and the concept of SFW can be applied to other scenes simulated by the social force model, such as evacuations of large-scale activities, to evaluate the physical energy consumption of people.

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Active travel for active ageing in China: The role of built environment

Cited by 158 publications

References 45 publications

A Trial‐and‐Error Congestion Pricing Method for Day‐to‐Day Dynamic Network Flows considering Travelers’ Heterogeneous Inertia Patterns

A Trial‐and‐Error Congestion Pricing Method for Day‐to‐Day Dynamic Network Flows considering Travelers’ Heterogeneous Inertia Patterns

Travel Behavior of Elderly in George Town and Malacca, Malaysia

Optimization of Metro Passenger Organizing of Alighting and Boarding Processes: Simulated Evidence from the Metro Station in Nanjing, China

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