Research on the competitive character of urban rail transit and conventional bus—taking the Suzhou rail transit passenger corridor as an example

Wang, Lijing; Wan, Xiao; Shen, Wei-Wei; Liu, Jing

doi:10.1201/b19880-157

Cited by 5 publications

(3 citation statements)

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“…Studies also found that land price and housing value around rail stations or along rail corridors increased in many cities, though the intensity varied in different locations and at different stages of rail planning, construction, and operation [47][48][49][51][52][53]. Studies of commercial developments indicated that urban rail generally accelerated developments around transfer stations and in central business districts [54][55][56][57][58][59][60][61].…”

Section: Studies Of Rail/metro-induced Effects In Chinamentioning

confidence: 99%

Rail-Induced Social Changes in Central Guangzhou, China

Ye²,

Yang³

2022

Sustainability

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The economic benefits of rail development are well researched, but the social effects of rail are largely understudied, especially in China. We analyze the association between educational attainment level and urban rail development using the 2000 and 2010 census data from Central Guangzhou, China, and a linear mixed-effects modeling approach. Our results indicate that the change in education level is greater in rail neighborhoods than in non-rail neighborhoods in the central area of Guangzhou, and that the rail/metro-induced effect on educational attainment level is evidenced. This research contributes to the existing literature by exploring a new method for this line of research and providing empirical evidence of social changes in a city that has experienced rapid economic growth and pioneered rail development in China, a developing country. The limitations and implications of the research are discussed.

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Section: Studies Of Rail/metro-induced Effects In Chinamentioning

confidence: 99%

Rail-Induced Social Changes in Central Guangzhou, China

Ye²,

Yang³

2022

Sustainability

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“…By obtaining the inbound, outbound and passenger flow of transfer stations in different periods, Weng et al (2016) proposed an evaluation method for the saturation degree of passenger flow at key locations of transfer stations, as well as a classification method for the congestion risk [8]. By adopting the cluster analysis method, Tang (2018) analysed the time distribution characteristics of passenger flow in typical metro stations. In his method, the passenger flow data of peak hours and flat hours were taken into account [9].…”

Section: Introductionmentioning

confidence: 99%

“…By adopting the cluster analysis method, Tang (2018) analysed the time distribution characteristics of passenger flow in typical metro stations. In his method, the passenger flow data of peak hours and flat hours were taken into account [9]. Based on a real metro station in Beijing, Li et al (2016) introduced some multi-layer measures to limit the passenger flow and the corresponding auxiliary measures to evacuate the crowd to provide a gauge in the event of large-scale activi-ties to ensure safety [10].…”

Section: Introductionmentioning

confidence: 99%

Research on Passenger Flow Control Plans for a Metro Station Based on Social Force Model

Wang

Luo³

et al. 2023

PROMTT

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To better utilise the service capacity of the limited facilities of a metro station, as well as ensure safety and transport efficiency during peak hours, a large passenger flow control plan is studied through theoretical analysis and numerical simulation. Firstly, by passenger data collection and data analysis, the characteristics of the inbound and outbound passenger flow of a T metro station are analysed. Secondly, AnyLogic evacuation simulation models for the T Station during peak hours, peak hours without/with passenger flow control are established based on real passenger flow data as well as the station structures and layouts by using the AnyLogic software. The results show that there are no obvious congestions in the station hall, and the travel delay is significantly reduced when effective passenger flow control measures are taken. By controlling the speed, direction and movement path of passengers, as well as adjusting the operation of escalators, entrances and automatic ticket-checking machines, passenger flow can become more orderly, transport efficiency can also be improved, and congestion in the station can be well mitigated.

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