Coupling analysis of passenger and train flows for a large-scale urban rail transit system

Zhang, Ping; Yang, Xin; Wu, Jianjun; Sun, Huijun; Wei, Yun; Gao, Ziyou

doi:10.1007/s42524-021-0180-2

Cited by 13 publications

(3 citation statements)

References 35 publications

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“…In research of Narayan J et al, a combined passenger route choice model for fixed and flexible public transport services is proposed and applied to the network of Amsterdam using agent-based simulation [7]. Zhang et al develop passenger-train interaction simulation approach to determine the coupling relationship between passenger and train flows in urban rail transit systems, and demonstrates it using real-world data from the Beijing urban rail transit system [8]. Most of the current methods propose new techniques in the distribution or forecasting process, but rarely model the impedance mode from the spontaneous selection mechanism of the passenger flow.…”

Section: Introductionmentioning

confidence: 99%

Modeling urban rail transit route choice with comprehensive travel cost

Shen,

2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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With the burst-up of transportation demand, the scale of urban rail transit expands, and the complexity of transit network enhances. Modern communication technology renders methods to collect passenger flow data with ease and accuracy. From traffic OD and travel time, there is no intuitive and quantitative method to collect and grasp the travel path and distribution of passenger flow. Modeling the rail transit network, establishing a quantitative impedance model from time, money and other comprehensive factors, simulating the travel path selection behavior of passengers in a quantitative way, and then transforming OD data into the distribution of passenger flow in the network, can understand the passenger flow operation rules, and also can better classify ticket business, which provides reference for business analysis of various operation investors, and has practical significance. Based on the current situation of Suzhou rail transit and OD passenger flow data, this paper establishes the rail transit network topology model, comprehensively establishes the passenger travel cost model from multiple perspectives, searches for paths, improves the effective path set in combination with the actual situation, and obtains the passenger flow distribution results of the simulated line network through multiple iterations, which helps simulation on the real-time passenger flow status.

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Section: Introductionmentioning

confidence: 99%

Modeling urban rail transit route choice with comprehensive travel cost

Shen,

2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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“…The significance of rail transit projects in urban transportation systems has become increasingly prominent due to urbanization and continuous population growth [1]. In China, for instance, 50 cities planned to implement rail transit projects by the end of 2022, with a length of about 6000 km and a USD 560 billion investment [2].…”

Section: Introductionmentioning

confidence: 99%

Generation and Characteristics of Construction Noise in Rail Transit Engineering Enclosure Structures

Wu,

Zhang,

Liu

et al. 2024

Buildings

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Rail transit is an important part of the urban transportation system, while the noise generated during construction seriously affects the engineering personnel and surrounding residents. To investigate the noise emissions and characteristics during the construction of the enclosure structures in the rail transit engineering project, an empirical study is conducted through on-site surveys, semi-structured interviews, and experimental monitoring. The results indicate that during enclosure structure construction, there are nine key noise-emitting machines and four key noise-generating construction processes. Among them, the equivalent average sound levels of six machines, including pneumatic hammers, pneumatic drills, concrete pump trucks, construction drills, rotary drilling rigs, and grooving machines, exceed 80 dB(A). The energy contribution rate curves of machine spectra peak at 63 Hz, 500 Hz, 1000 Hz, and 4000 Hz, which have certain effects on construction personnel and nearby residents. Meanwhile, guide wall construction, groove construction, reinforcement cage fabrication and hoisting, and concrete pouring are identified as key noise-generating construction processes. This empirical investigation helps to establish a theoretical basis for noise control during the construction of enclosure structures in urban rail transit engineering projects, and the results provide valuable references for the formulation of auxiliary noise reduction measures.

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“…URT, as a major component of public transport, plays a pivotal role in reducing traffic congestion and carbon emissions by accommodating a substantial number of trips (Pan et al, 2018;Zhang et al, 2023). URT systems (Jia et al, 2021) have implemented a set of standardized operational procedures for public health emergencies, including pre-deployment of medical materials and equipment, categorization of emergencies and risk levels, analysis of specific operational measures, and the execution of effective protocols.…”

Section: Introductionmentioning

confidence: 99%

Toward energy-efficient urban rail transit with capacity constraints under a public health emergency

Huang,

Liao,

Rasouli

et al. 2024

Front. Eng. Manag.

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Urban rail transit (URT) plays a pivotal role in mitigating urban congestion and emissions, positioning it as a sustainable transportation alternative. Nevertheless, URT’s function in transporting substantial numbers of passengers within confined public spaces renders it vulnerable to the proliferation of infectious diseases during public health crises. This study proposes a decision support model that integrates operational control strategies pertaining to passenger flow and train capacity utilization, with an emphasis on energy efficiency within URT networks during such crises. The model anticipates a URT system where passengers adhere to prescribed routes, adhering to enhanced path flow regulations. Simultaneously, train capacity utilization is intentionally limited to support social distancing measures. The model’s efficacy was assessed using data from the COVID-19 outbreak in Xi’an, China, at the end of 2021. Findings indicate that focused management of passenger flows and specific risk areas is superior in promoting energy efficiency and enhancing passenger convenience, compared to broader management approaches.

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Coupling analysis of passenger and train flows for a large-scale urban rail transit system

Cited by 13 publications

References 35 publications

Modeling urban rail transit route choice with comprehensive travel cost

Modeling urban rail transit route choice with comprehensive travel cost

Generation and Characteristics of Construction Noise in Rail Transit Engineering Enclosure Structures

Toward energy-efficient urban rail transit with capacity constraints under a public health emergency

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