Analyzing Influencing Factors of Transfer Passenger Flow of Urban Rail Transit: A New Approach Based on Nested Logit Model Considering Transfer Choices

Zhu, Zhenya; Zeng, Jun; Gong, Xiaolin; He, Yudong; Qiu, Shucheng

doi:10.3390/ijerph18168462

Cited by 9 publications

(3 citation statements)

References 30 publications

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“…The different structures of an urban road network have a deep impact on the mode of transportation [31]. Many residents choose to travel by metro [32]. For health reasons, some residents may choose to walk [33].…”

Section: Situation Of Nanjing Metromentioning

confidence: 99%

Clustering Analysis of Multilayer Complex Network of Nanjing Metro Based on Traffic Line and Passenger Flow Big Data

Li,

Yu,

Zhang

2023

Sustainability

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Complex networks in reality are not just single-layer networks. The connection of nodes in an urban metro network includes two kinds of connections: line and passenger flow. In fact, it is a multilayer network. The line network constructed by the Space L model based on a complex network reflects the geographical proximity of stations, which is an undirected and weightless network. The passenger flow network constructed with smart card big data reflects the passenger flow relationship between stations, which is a directed weighted network. The construction of a line-flow multilayer network can reflect the actual situation of metro traffic passenger flow, and the node clustering coefficient can measure the passenger flow clustering effect of the station on adjacent stations. Combined with the situation of subway lines in Nanjing and card-swiping big data, this research constructs the line network with the Space L model and the passenger flow network with smart card big data, and uses these two networks to construct the multilayer network of line flow. This research improves the calculation method of the clustering coefficient of weighted networks, proposes the concept of node group, distinguishes the inflow and outflow, and successively calculates the clustering coefficient of nodes and the whole network in the multilayer network. The degree of passenger flow activity in the network thermal diagram is used to represent the passenger flow activity of the line-flow network. This method can be used to evaluate the clustering effect of metro stations and identify the business districts in the metro network, so as to improve the level of intelligent transportation management and provide a theoretical basis for transportation construction and business planning.

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Section: Situation Of Nanjing Metromentioning

confidence: 99%

Clustering Analysis of Multilayer Complex Network of Nanjing Metro Based on Traffic Line and Passenger Flow Big Data

Li,

Yu,

Zhang

2023

Sustainability

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“…In order to analyze the influencing factors of urban rail transit transfer flows, a method based on a nested logit flow distribution model was proposed to derive the transfer flows at seven transfer stations in Nanjing, China, using questionnaire surveys, transfer flow surveys, and smartcard data, taking into account the transfer choice behavior of passengers. The results showed that the relationship between the transfer passenger flow, and the economic, geographical and transport location is unclear [15]. To solve the problem of overcrowding at transfer stations during peak hours, Yin JT put forward a mathematical formula aiming to minimize the degree of overcrowding at stations during peak hours to generate the best-coordinated train schedule synchronously and use ALNS algorithm to find the best solution [16].…”

Section: Introductionmentioning

confidence: 99%

Research on the Evaluation of Rail Transit Transfer System Based on the Time Value

Zhang,

Wang,

et al. 2023

Sustainability

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The transfer system has an extremely important influence on the operation management and economic benefits of the whole rail network. The paper selects evaluation indexes based on the analysis of transfer system time value influencing factors, excludes part of the indexes by using importance analysis and correlation analysis, and constructs the evaluation index system of rail transit transfer system using the STATA 16 software. Using a combination of the analytic hierarchy process (AHP) and CRITIC method, the evaluation indexes were comprehensively assigned. The time value evaluation model was established based on the matter-element extension evaluation model. Finally, Wuhan rail transit transfer stations Dazhi Road Station and Xunlimen Station are selected as examples for empirical analysis, and improvement measures are proposed. Unlike previous studies, this study introduces time value as a core indicator and uses a matter-element extension evaluation model for evaluation. Empirical analyses show that the proposed evaluation index system based on time value can better reflect the passenger experience as well as the efficiency of the transfer system. The selected matter-element extension evaluation model can better deal with the uncertainty between indicators and solve the multi-objective contradiction problem. The evaluation results of the model are consistent with the actual research results of the transfer station, and the evaluation model has better applicability.

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“…e Chinese government formally put forward the goal of 'carbon neutralization and carbon compliance' at the 75 th United Nations General Assembly in 2020 and strongly developed a low-carbon economy to reduce greenhouse gas emissions. Among many greenhouse gas emission pathways, transportation accounts for more than 20% of the total greenhouse gas emission [2][3][4][5], and the carbon emission of ground transportation is much higher than that of air transportation [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Study on Influencing Factors of the Duration of Residential Leisure Travel to Urban Parks

Yan

Dong

et al. 2022

Journal of Advanced Transportation

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With the improvement of living standards, more and more residents in China choose short leisure travel at weekends. This study aims to model the leisure travel duration to investigate the relationship between travel time and residents’ factors, which can provide guidance for the development of urban parks and improve the structure of transportation modes to promote low-carbon travel modes. The accelerated hazard model is applied to establish the model equation between travel time and various factors, to obtain the differences between weekend travel time in scenic spots and personal characteristics such as residents’ playing time and travel mode choice. First, an analysis of variance was performed on the valid data which have been collected. Then, the Kaplan–Meier test proved that weekend activity types tend to follow different survival functions. Finally, this study established the lifespan regression equation of the travel time, and we found that the best fit is the Log-normal distribution. This study shows clearly that accelerated hazard models based on fixed parameters are better at evaluating the attractiveness of urban parks, and they can also get feedback travel characteristics of primary residents. So, we can build a lifespan analysis-based model for the travel time of urban residents, to help plan the urban parks. The result of this study can be used for predicting the flow of different travel modes at urban parks in cities, which can be helpful for regional traffic organization such as regional traffic flow guidance and signal timing.

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Analyzing Influencing Factors of Transfer Passenger Flow of Urban Rail Transit: A New Approach Based on Nested Logit Model Considering Transfer Choices

Cited by 9 publications

References 30 publications

Clustering Analysis of Multilayer Complex Network of Nanjing Metro Based on Traffic Line and Passenger Flow Big Data

Clustering Analysis of Multilayer Complex Network of Nanjing Metro Based on Traffic Line and Passenger Flow Big Data

Research on the Evaluation of Rail Transit Transfer System Based on the Time Value

Study on Influencing Factors of the Duration of Residential Leisure Travel to Urban Parks

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