Estimation of transfer walking time distribution in multimodal public transport systems based on smart card data

Eltved, Morten; Lemaitre, Philip; Petersen, Niklas

doi:10.1016/j.trc.2021.103332

Cited by 13 publications

(7 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1. Individual circumstances of passengers A passenger's transfer time is determined to some extent by walking speed [29]. There are a variety of influences on transfer times, and the degree of influence varies from person to person [30], making it difficult to quantify for everyone.…”

Section: Influence Of Subjective Factorsmentioning

confidence: 99%

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

Zhang,

Wang,

et al. 2023

Sustainability

View full text Add to dashboard Cite

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.

show abstract

Section: Influence Of Subjective Factorsmentioning

confidence: 99%

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

Zhang,

Wang,

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Paul et al [11] found upon calculating walking time ratios for access, exit, and transfer based on manual research, and after matching exit walking times with train schedules using AFC transaction data, that the ratios were used to derive walking times for access and transfer. Similar, Eltved et al [12] put forward an estimation of transfer time distribution from bus station to train platform based on the matching of smart card data and vehicle automatic positioning data. Yan [13], based on the assumption that passengers' arrival obeys uniform distribution, calculates the distribution of passengers' outbound travel time by using train arrival data and passengers' outbound time, and calculates the distribution parameters of inbound travel time by using OD travel time without transfer after the train departure interval is known.…”

Section: Introductionmentioning

confidence: 99%

Based on AFC Data Calculation of Walking Time in Metro Stations Considering the Impact of Passenger Flows

Zou

Zhu

2023

Sustainability

View full text Add to dashboard Cite

The walking time in metro stations is influenced by passenger flow with large fluctuation. Therefore, this paper proposes a method of station walking time calculation considering the influence of passenger flow: firstly, the time, entry, and exit direction and volume distribution characteristics of station passenger flow are analyzed, and the threshold of passenger flow that affects walking time is defined; then, an entry and exit walking time calculation model is established by five independent travel time chains and three station walking time constraints, and the transfer walking time is calculated based on the entry and exit walking time results; finally, the accuracy and validity of the walking time projection model are verified by using the calculation results. The results show that the calculation results are accurate and the validity of the model reaches 91.5%, and the constraint effect on walking time at station time is most obvious when the passenger flow reaches 3000 passengers per 30 min.

show abstract

“…The reliability of public transport is sensitive to the variability in the time components [4]. This variability is mainly affected by service frequency (or headway) [5] and a range of other variables, such as temporal factors, infrastructure, and passenger demographics [6,7]. Among the journey components, the impact of transfers on the reliability of multimodal transit systems has been highlighted in the literature [6,[8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…This variability is mainly affected by service frequency (or headway) [5] and a range of other variables, such as temporal factors, infrastructure, and passenger demographics [6,7]. Among the journey components, the impact of transfers on the reliability of multimodal transit systems has been highlighted in the literature [6,[8][9][10][11]. In general, a transfer is defined as the changing act between modes or between services of the same mode.…”

Section: Introductionmentioning

confidence: 99%

“…However, many studies only estimated one of these two components and only a few considered them together. Eltved et al [6] estimated the walking time distributions from bus stops to train platforms based on a matching of smart card data and automatic vehicle location data. They found that the passengers' walking speeds and the passengers who engage in activities during the transfer have impacts on the walking time estimation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of Transfer Time from Multimodal Transit Services in the Paris Region

Yin

Leurent

2022

Future Transportation

View full text Add to dashboard Cite

A reliable public transport system is beneficial for people traveling in the metropolitan area. Transfer time in multimodal transit networks has been highlighted as one of the measures of public transport service quality. In this paper, we propose a novel method to estimate the passengers’ transfer time between the transit modes (i.e., train, metro, and bus) based on the 2018 Household Travel Survey in the Paris region, France. The transit trips with a single transit leg are primarily studied, wherein average wait time and mode speeds are estimated through an integrated linear regression model. Based on these inferences, transfer time is deduced within the trips of multiple transit legs. The decomposition procedure of journey time facilitates the estimation of the time components, and reveals the transfer variability in mode, time, and space. From the results, we find that the transfer to the railway modes, especially to the metro, costs less time on average than the transfer to the bus in the study area. The transfer patterns in the morning and evening peak hours are different regarding the transfer duration and locations. Lastly, the results’ reliability, method scalability, and potential applications are discussed in detail.

show abstract

Estimation of transfer walking time distribution in multimodal public transport systems based on smart card data

Cited by 13 publications

References 20 publications

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

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

Based on AFC Data Calculation of Walking Time in Metro Stations Considering the Impact of Passenger Flows

Estimation of Transfer Time from Multimodal Transit Services in the Paris Region

Contact Info

Product

Resources

About