Journal of Public Transportation最新文献_第7页

Determinants of station-based round-trip bikesharing demand 基于站点的往返自行车共享需求的决定因素

IF 12.2 4区工程技术

Journal of Public Transportation Pub Date : 2023-01-01 DOI: 10.1016/j.jpubtr.2023.100048

Florian Wilkesmann , Danique Ton , Rik Schakenbos , Oded Cats

引用次数: 1

Exploring micromobility mode preferences for last-mile trips from subway stations 探索地铁站最后一英里出行的微运动模式偏好

IF 12.2 4区工程技术

Journal of Public Transportation Pub Date : 2023-01-01 DOI: 10.1016/j.jpubtr.2023.100054

Jin Ki Eom, Kwang-Sub Lee, Jun Lee

引用次数: 0

Factors influencing traveler use of transit before, during, and after the COVID-19 pandemic 新冠肺炎大流行之前、期间和之后影响旅客使用交通工具的因素

IF 12.2 4区工程技术

Journal of Public Transportation Pub Date : 2023-01-01 DOI: 10.1016/j.jpubtr.2023.100058

Mark Burris , Alexander Brown , Hardik Gupta , Jasper Wang , Alberto M. Figueroa-Medina , Carlos A. del Valle-González , Adel F. del Valle-Pérez

引用次数: 0

Feeder bus network design with modular transit vehicles 采用模块化公交车辆的接驳巴士网络设计

IF 12.2 4区工程技术

Journal of Public Transportation Pub Date : 2023-01-01 DOI: 10.1016/j.jpubtr.2023.100078

Dimitra Zermasli, Christina Iliopoulou, Georgios Laskaris, Konstantinos Kepaptsoglou

引用次数: 0

Mode shifts from public transport to bike-sharing in the era of COVID-19: Riding back to normality 新冠肺炎时代，交通方式从公共交通转向共享单车:骑行回归常态

IF 12.2 4区工程技术

Journal of Public Transportation Pub Date : 2023-01-01 DOI: 10.1016/j.jpubtr.2023.100071

Zoi Christoforou , Anna Mariam Psarrou Kalakoni , Christos Gioldasis

{"title":"Mode shifts from public transport to bike-sharing in the era of COVID-19: Riding back to normality","authors":"Zoi Christoforou , Anna Mariam Psarrou Kalakoni , Christos Gioldasis","doi":"10.1016/j.jpubtr.2023.100071","DOIUrl":"https://doi.org/10.1016/j.jpubtr.2023.100071","url":null,"abstract":"<div><p>The pandemic led to the decrease of public transport use, which many passengers believed to have shifted from public transport to bike-sharing. We propose a novel methodology to quantify this shift and shed light on the causal factors of new preferences as well as the likelihood of their continuation. A first short-term intramodal analysis reveals important correlations between trip volumes and durations on the one hand, and COVID-19 policy measures on the other hand. COVID-19 significantly reduced all trips but public transport was hit harder and has not recovered so far. Shared-bike trip durations were extended during pandemic peaks. Then, we perform a second medium-term, disaggregate, and intermodal analysis to identify potential reasons explaining the shift from public transport to cycling. Logit models are specified on empirical ridership data from London and Washington DC. Results indicate that certain pre-covid factors (such as weather and type of day, travel purpose) remain influential under COVID-19. Also, we find facial covering obligation to be a key element in restoring public confidence towards public transport. Simple face covering recommendations seem, instead, to discourage public transport usage and play in favor of cycling.</p></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"25 ","pages":"Article 100071"},"PeriodicalIF":12.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1077291X23000322/pdfft?md5=0db7c65226f92e13c28e3ad9a4e9709c&pid=1-s2.0-S1077291X23000322-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92019145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","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 study on passenger flow model and simulation in aspect of COVID-19 spreading on public transport bus stops 新型冠状病毒在公交车站传播的客流模型与仿真研究

IF 12.2 4区工程技术

Journal of Public Transportation Pub Date : 2023-01-01 DOI: 10.1016/j.jpubtr.2023.100063

Rafał Burdzik , Wongelawit Chema , Ireneusz Celiński

{"title":"A study on passenger flow model and simulation in aspect of COVID-19 spreading on public transport bus stops","authors":"Rafał Burdzik , Wongelawit Chema , Ireneusz Celiński","doi":"10.1016/j.jpubtr.2023.100063","DOIUrl":"https://doi.org/10.1016/j.jpubtr.2023.100063","url":null,"abstract":"<div><p>Public transport during COVID-19 has been crucial in ensuring the safety and health of both passengers and staff while maintaining essential public transport services. Currently public transport is gradually resuming its operations, the pandemic's influence is expected to persist for a long time. The vast majority of studies in this aspect concern the likelihood of spreading the virus inside the means of transport during travel. Nevertheless, there exists a substantial body of articles addressing the manner in which passenger movement within public transport systems has been impacted by the safety concerns and altered satisfaction levels following the propagation of the pandemic. This paper presents a model that accurately represents how passengers move through different parts of a public transport system, such as a bus or train station and stops. This model takes into account factors like how long it takes for passengers to board and exit a vehicle, how they move through different parts of the stops, and how their movements are affected by factors like crowding and delays. To reduce the risk of transmission on public transport focused on bus stops areas, the research paper formulated a passenger flow model using simulation programs like PTV Vissim and FlexSim with assumptions on minimum distance and concept of area cross sections. These programs were used to simulate passenger exchange scenarios, using data collected from real data. The paper aimed to develop a passenger exchange model that could reduce the risk of infection. By understanding the passenger flow model and how passengers interact with the public transport system, we can implement effective measures to minimize the spread of COVID-19 and other infectious diseases.</p></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"25 ","pages":"Article 100063"},"PeriodicalIF":12.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49773217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Integrating ride-hailing services with transit: An exploratory planning framework 将网约车服务与公共交通整合:一个探索性的规划框架

IF 12.2 4区工程技术

Journal of Public Transportation Pub Date : 2023-01-01 DOI: 10.1016/j.jpubtr.2023.100056

V. Dimitra Pyrialakou , Parisa Hajibabaee , Amrit Williams , Leily Farrokhvar

引用次数: 0

Utilizing a machine learning ensemble to evaluate the service quality and passenger satisfaction among public transportations 利用机器学习集成来评估公共交通的服务质量和乘客满意度

IF 12.2 4区工程技术

Journal of Public Transportation Pub Date : 2023-01-01 DOI: 10.1016/j.jpubtr.2023.100076

Ardvin Kester S. Ong , Taniah Ivan F. Agcaoili , Duke Elijah R. Juan , Prince Miro R. Motilla , Krishy Ane A. Salas , Josephine D. German

{"title":"Utilizing a machine learning ensemble to evaluate the service quality and passenger satisfaction among public transportations","authors":"Ardvin Kester S. Ong , Taniah Ivan F. Agcaoili , Duke Elijah R. Juan , Prince Miro R. Motilla , Krishy Ane A. Salas , Josephine D. German","doi":"10.1016/j.jpubtr.2023.100076","DOIUrl":"https://doi.org/10.1016/j.jpubtr.2023.100076","url":null,"abstract":"<div><p>Public transportation is an essential criterion that benefits several social sectors. Hence, most developing countries display an increase in the demand for enhanced public utility vehicle (PUV) systems. PUVs are prevalent in the Philippines; however, research on passenger satisfaction and public transportation is scarce. This research aimed to assess passengers' future intentions regarding PUVs through passenger satisfaction utilizing various latent variables. This study utilized an online survey with a total of 600 respondents that are using PUVs in the Philippines who voluntarily answered the questionnaire. The data were analyzed using different Machine Learning Algorithms (MLA) such as Deep Learning Neural Network (DLNN), Decision Tree (DT), and Random Forest Classifier (RFC). The study indicated that people vastly prefer a route-efficient way of traveling, safety, value for money, and passenger expectations as it highly affected passenger satisfaction and future intentions. The theoretical basis of this study provided an effective instrument for resolving the country's emerging traffic issues and served as the foundation for forming PUVs and policy initiatives. Future research may look into and concentrate more on particular types of service quality factors and public utility vehicle to provide a more in-depth analysis of the subject and extend the analysis. Researchers may also utilize MLA for the data as it provides a more efficient and accurate factor analysis in the transportation sector. Finally, managerial insights could be elevated, including service domains in different areas.</p></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"25 ","pages":"Article 100076"},"PeriodicalIF":12.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1077291X23000371/pdfft?md5=e4a28f9fcaf3c9a3a2f15bbe2f09dfe6&pid=1-s2.0-S1077291X23000371-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138395638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Will transit recover? A retrospective study of nationwide ridership in the United States during the COVID-19 pandemic 运输会恢复吗?对2019冠状病毒病大流行期间美国全国客运情况的回顾性研究

IF 12.2 4区工程技术

Journal of Public Transportation Pub Date : 2023-01-01 DOI: 10.1016/j.jpubtr.2023.100046

Abubakr Ziedan , Candace Brakewood , Kari Watkins

{"title":"Will transit recover? A retrospective study of nationwide ridership in the United States during the COVID-19 pandemic","authors":"Abubakr Ziedan , Candace Brakewood , Kari Watkins","doi":"10.1016/j.jpubtr.2023.100046","DOIUrl":"10.1016/j.jpubtr.2023.100046","url":null,"abstract":"<div><p>Although the COVID-19 pandemic highly impacted transit ridership as people reduced or stopped travel, these changes occurred at different rates in different regions across the United States. This study explores the impacts of COVID-19 on ridership and recovery trends for all federally funded transit agencies in the United States from January 2020 to June 2022. The findings of this analysis show that overall transit ridership hit a 100-year low in 2020. Changepoint analysis revealed that June 2021 marked the beginning of the recovery for transit ridership in the United States. However, even by June 2022, rail and bus ridership were only about two-thirds of the pre-pandemic levels in most metropolitan statistical areas (MSAs). Only in a handful of MSAs like Tampa and Tucson did rail ridership reach or exceed 2019 ridership. This retrospective study concludes with a discussion of some longer-term changes likely to continue to impact ridership, such as increased telecommuting and operator shortages, as well as some opportunities, such as free fares and increased availability of bus lanes. The findings of this study can help inform agencies about their performance compared to their peers and highlight general challenges facing the transit industry.</p></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"25 ","pages":"Article 100046"},"PeriodicalIF":12.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290420/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9739448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impacts of real-time transit information on transit accessibility – A case study 实时交通信息对交通可达性的影响——一个案例研究

IF 12.2 4区工程技术

Journal of Public Transportation Pub Date : 2023-01-01 DOI: 10.1016/j.jpubtr.2023.100043

Md Tanvir Ashraf , Kakan Dey , Anthony Carrola , Xianming Shi

引用次数: 2