Public Transport最新文献_第5页

Performance classification of Tunisian public transport operators 突尼斯公共交通运营商的绩效分类

IF 2.6

Public Transport Pub Date : 2023-03-02 DOI: 10.1007/s12469-023-00321-y

A. Derbel, Y. Boujelbene

引用次数: 0

A Reinforcement Learning approach for bus network design and frequency setting optimisation 一种用于总线网络设计和频率设置优化的强化学习方法

IF 2.6

Public Transport Pub Date : 2023-02-08 DOI: 10.1007/s12469-022-00319-y

Sunhyung Yoo, J. Lee, Hoon Han

引用次数: 5

A simulation-based optimization approach for designing transit networks 基于仿真的公交网络优化设计方法

IF 2.6

Public Transport Pub Date : 2023-01-18 DOI: 10.1007/s12469-022-00312-5

Obiora A. Nnene, J. Joubert, M. Zuidgeest

引用次数: 3

Tracing rail transformation: the case of passenger services in Slovenia from 1975 to 2015 追踪铁路转型:以1975年至2015年斯洛文尼亚客运服务为例

IF 2.6

Public Transport Pub Date : 2023-01-04 DOI: 10.1007/s12469-022-00316-1

S. Hudák, T. Brezina, Johannes Kehrer, J. M. Schopf

引用次数: 0

Three's a crowd? Examining evolving public transit crowding standards amidst the COVID-19 pandemic. 三人成群？研究在 COVID-19 大流行中不断演变的公共交通拥挤标准。

IF 2.6

Public Transport Pub Date : 2023-01-01 Epub Date: 2022-12-19 DOI: 10.1007/s12469-022-00311-6

Tianxing Dai, Brian D Taylor

{"title":"Three's a crowd? Examining evolving public transit crowding standards amidst the COVID-19 pandemic.","authors":"Tianxing Dai, Brian D Taylor","doi":"10.1007/s12469-022-00311-6","DOIUrl":"10.1007/s12469-022-00311-6","url":null,"abstract":"The COVID-19 pandemic dramatically affected public transit systems around the globe. Because transit systems typically move many people closely together on buses and trains, public health guidance demanded that riders should keep a distance of about two meters to others changed the definition of \"crowding\" on transit in 2020. Accordingly, this research examines how U.S. public transit agencies responded to public health guidance that directly conflicted with their business model. To do this, we examined published crowding standards before the COVID-19 pandemic for a representative sample of 200 transit systems, including whether they started or changed their published standards during the pandemic, as well as the reasons whether agencies publicize such standards at all. We present both descriptive statistics and regression model results to shed light on the factors associated with agency crowding standards. We find that 56% of the agencies surveyed published crowding standards before the pandemic, while only 46% published COVID-19-specific crowding standards. Regression analyses suggest that larger agencies were more likely to publish crowding standards before and during the COVID-19 pandemic, likely because they are more apt to experience crowding. Pandemic-specific crowding standards, by contrast, were associated with a more complex set of factors. We conclude that the relative lack of pandemic standards reflects the uncertainty and fluidity of the public health crisis, inconsistent and at times conflicting with the guidance from public health officials, and, in the U.S., a lack national or transit industry consensus on appropriate crowding standards during the first year of the pandemic.","PeriodicalId":46539,"journal":{"name":"Public Transport","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762872/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75276054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A supervised machine learning model for imputing missing boarding stops in smart card data. 用于推算智能卡数据中缺失的登机站的监督机器学习模型。

IF 2.6

Public Transport Pub Date : 2023-01-01 Epub Date: 2022-12-07 DOI: 10.1007/s12469-022-00309-0

Nadav Shalit, Michael Fire, Eran Ben-Elia

{"title":"A supervised machine learning model for imputing missing boarding stops in smart card data.","authors":"Nadav Shalit, Michael Fire, Eran Ben-Elia","doi":"10.1007/s12469-022-00309-0","DOIUrl":"10.1007/s12469-022-00309-0","url":null,"abstract":"Public transport has become an essential part of urban existence with increased population densities and environmental awareness. Large quantities of data are currently generated, allowing for more robust methods to understand travel behavior by harvesting smart card usage. However, public transport datasets suffer from data integrity problems; boarding stop information may be missing due to imperfect acquirement processes or inadequate reporting. This study introduces a supervised machine learning method to impute missing boarding stops based on ordinal classification using GTFS timetable, smart card, and geospatial datasets. A new metric, Pareto Accuracy, is suggested to evaluate algorithms where classes have an ordinal nature. The results are based on a case study in the city of Beer Sheva, Israel, consisting of one month of smart card data. We show that our proposed method is robust to irregular travelers and significantly outperforms well-known imputation methods without the need to mine any additional datasets. The data validation from another Israeli city using transfer learning shows the presented model is general and context-free. The implications for transportation planning and travel behavior research are further discussed.","PeriodicalId":46539,"journal":{"name":"Public Transport","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734418/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78766315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

India's public transportation system: the repercussions of COVID-19. 印度的公共交通系统：COVID-19 的影响。

IF 2.6

Public Transport Pub Date : 2023-01-01 Epub Date: 2023-04-11 DOI: 10.1007/s12469-023-00320-z

Sarthak Sahu, Saket Shanker, Aditya Kamat, Akhilesh Barve

{"title":"India's public transportation system: the repercussions of COVID-19.","authors":"Sarthak Sahu, Saket Shanker, Aditya Kamat, Akhilesh Barve","doi":"10.1007/s12469-023-00320-z","DOIUrl":"10.1007/s12469-023-00320-z","url":null,"abstract":"The COVID-19 pandemic has left scars on the Indian public transportation system. In order to regain its original momentum, policymakers will need to assess the barriers hindering the effectiveness of the public transportation sector. In this regard, this article analyzes the various factors affecting the public transportation sector in India and determines their interrelationships. The research is presented in three steps. First, we review the literature to identify the factors that affect the public transportation system in India. Next, we propose an integrated model of grey-DEMATEL and ANP, grey-DANP, to calculate the priority ranking and weight of the factors. The grey-DEMATEL method is used to find the interrelationships among the factors, while ANP determines the local and global weights of the factors to form a priority order. Then, we present the interrelationships in the form of influential relation maps. Furthermore, we provide a sensitivity analysis to enhance the credibility of our study. The paper reveals that governmental regulations are the most influential factors in India's public transportation system. The transportation authorities and policymakers must also focus on improving the financial stability and enhancing the customer's trust in the public transportation system. The framework provided in this paper can be applied to other countries where similar hindrances in the public transportation system have been caused by COVID-19.","PeriodicalId":46539,"journal":{"name":"Public Transport","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10089696/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77608430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing service quality of rural public transport during the COVID-19 pandemic: a novel fuzzy approach. 在 COVID-19 大流行期间提高农村公共交通的服务质量：一种新颖的模糊方法。

IF 2.3

Public Transport Pub Date : 2023-01-01 Epub Date: 2023-04-05 DOI: 10.1007/s12469-022-00318-z

Hanumantha Rao Sama, Long-Sheng Chen, Venkateswarlu Nalluri, Madhavaiah Chendragiri

{"title":"Enhancing service quality of rural public transport during the COVID-19 pandemic: a novel fuzzy approach.","authors":"Hanumantha Rao Sama, Long-Sheng Chen, Venkateswarlu Nalluri, Madhavaiah Chendragiri","doi":"10.1007/s12469-022-00318-z","DOIUrl":"10.1007/s12469-022-00318-z","url":null,"abstract":"In order to encourage the use of public transportation, it is necessary to make it more appealing to commuters by conducting frequent Service Quality (SQ) evaluations and modifications. Understanding passengers' expectations of public transportation are important, and evaluating the SQ is an essential tool for assessing the overall performance of the public transportation system. The purpose of the present study was to examine the expectations and perceptions of core passengers regarding SQ in public bus transportation. By surveying 598 passengers in rural public transportation in India, the study results are illustrated and further discussed to guide possible bus SQ improvements in rural areas. In addition, the impact of these expectations and perceptions on satisfaction levels of rural public bus transportation services are explored by applying the Interval-Valued Pythagorean Fuzzy (IVPF). The outcomes of the survey indicated significant disparities among expectations and perceptions of passengers, as well as widespread dissatisfaction with the delivery of bus services in rural areas as a whole. The dependability and adaptiveness of the bus service have been critical in describing the overall quality of bus services in rural areas, and best practices from around the world were used to develop a set of recommendations for transportation operators and local officials.","PeriodicalId":46539,"journal":{"name":"Public Transport","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10074371/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77301425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Designing limited-stop bus services for minimizing operator and user costs under crowding conditions 在拥挤条件下设计限站巴士服务，以使营运商和使用者的成本减至最低

IF 2.6

Public Transport Pub Date : 2022-11-27 DOI: 10.1007/s12469-022-00307-2

Mohammad Sadrani, A. R. Jafarian-Moghaddam, M. Esfahani, A. Rahimi

引用次数: 1

Modulated spatiotemporal clustering of smart card users 智能卡用户的调制时空聚类

IF 2.6

Public Transport Pub Date : 2022-10-26 DOI: 10.1007/s12469-022-00305-4

Rémi Decouvelaere, M. Trépanier, B. Agard

引用次数: 1