ABSTRACTFew studies have examined the relationship at the microscopic spatial scale. In this study, multiple sources of data including mobile phone signal data, automatic fare collection system data, geo-information data, and street-view image data are combined to measure metro ridership and built environment at the plot or block scale. The Random Gradient Boosting Decision Tree was used to explore relationship between the built environment and ridership. The results show the following: (1) the relationship between built environment and ridership shows different types of curves. (2) The path distance to the metro station and the visual perception of road space have more significant impacts on ridership than road network density. (3) The location of the grid also affects grid-level metro ridership. The results suggest that planners should consider the locational factors, pay attention to the different effective thresholds of different variables on ridership and the longitudinal landscaping of non-motorized urban roads.KEYWORDS: Built environmentnon-motorized friendly designnon-linear relationshipmicroscopic spatial scale
{"title":"Effects of built environment on metro ridership at a microscopic scale: a case study of Xi’an, China","authors":"Siyi Zhang, Yonggang Wang, Zixuan Liu, Jiazhuo Huang","doi":"10.1080/03081060.2023.2261508","DOIUrl":"https://doi.org/10.1080/03081060.2023.2261508","url":null,"abstract":"ABSTRACTFew studies have examined the relationship at the microscopic spatial scale. In this study, multiple sources of data including mobile phone signal data, automatic fare collection system data, geo-information data, and street-view image data are combined to measure metro ridership and built environment at the plot or block scale. The Random Gradient Boosting Decision Tree was used to explore relationship between the built environment and ridership. The results show the following: (1) the relationship between built environment and ridership shows different types of curves. (2) The path distance to the metro station and the visual perception of road space have more significant impacts on ridership than road network density. (3) The location of the grid also affects grid-level metro ridership. The results suggest that planners should consider the locational factors, pay attention to the different effective thresholds of different variables on ridership and the longitudinal landscaping of non-motorized urban roads.KEYWORDS: Built environmentnon-motorized friendly designnon-linear relationshipmicroscopic spatial scale","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135538387","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}
ABSTRACTPeople’s perceptions of Autonomous Vehicles (AVs) are critical to understanding the role of AVs in future transportation systems. Most previous work on AVs perceptions is based on large cities or metropolitan areas. This study provides a unique perspective regarding perceptions of impacts of AVs in small and rural communities through an online survey in Central Texas (n = 1153). Our questionnaires gathered basic socio-demographic characteristics and AV impacts variables identified from the literature. We used summary statistics and ordered logistic regression models to reveal the perceived impacts of AVs. Residents of small and rural communities, particularly older adults (65 + years), were more enthusiastic about the development of AVs than the national average. Our findings reveal that being an employed, married male with a higher income increases the likelihood of accepting the impacts of AVs, suggesting further research to explore a feasible approach to utilizing AVs in small, rural communities.KEYWORDS: Autonomous vehiclePerceptionSmall townRural community AcknowledgmentsWe are grateful to Susan Chrysler, Stacey Alejandro, and Elissa Cuellar from Texas A&M Transportation Institute for their strong support during the data collection.Author contributionsThe authors confirm contribution to the paper as follows: study conception and design: M. Usman, W. Li, J. Bian, A. Chen, X. Ye, X. Li, B. Dadashova, C. Lee, K. Lee, S. Rathinam, M. Ory; data collection: M. Usman, W. Li, J. Bian, A. Chen, X. Ye, X. Li, B. Dadashova, M. Ory; analysis and interpretation of results: M. Usman, W. Li, J. Bian; all authors contributed to draft manuscript preparation, reviewed the results, and approved the final version of the manuscript.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis study is funded by the Safety through Disruption (Safe-D) University Transportation Center (UTC), part of the University Transportation Center Program of the U.S. Department of Transportation.
摘要人们对自动驾驶汽车的看法对于理解自动驾驶汽车在未来交通系统中的作用至关重要。之前大多数关于自动驾驶感知的研究都是基于大城市或大都市地区。本研究通过德克萨斯州中部的一项在线调查(n = 1153)，提供了关于自动驾驶汽车对小型和农村社区影响的看法的独特视角。我们的调查问卷收集了从文献中确定的基本社会人口统计学特征和AV影响变量。我们使用汇总统计和有序逻辑回归模型来揭示自动驾驶汽车的感知影响。小社区和农村社区的居民，特别是老年人(65岁以上)，对自动驾驶汽车的发展比全国平均水平更有热情。我们的研究结果表明，作为一个有工作的、已婚的、收入较高的男性，接受自动驾驶汽车影响的可能性增加，建议进一步研究探索在小型农村社区利用自动驾驶汽车的可行方法。我们非常感谢德州农工交通研究所的Susan Chrysler、Stacey Alejandro和Elissa Cuellar在数据收集过程中的大力支持。作者对本文的贡献如下:研究概念和设计:M. Usman, W. Li, J. Bian, A. Chen, X. Ye, X. Li, B. Dadashova, C. Lee, K. Lee, S. Rathinam, M. Ory;资料收集:M. Usman, Li w, Bian j, A. Chen, Ye X.， Li X.， B. Dadashova, M. Ory;结果分析与解释:M. Usman，李伟，边建;所有作者都参与了初稿的准备，审查了结果，并批准了手稿的最终版本。披露声明作者未报告潜在的利益冲突。本研究由美国交通部大学交通中心项目的一部分“中断安全”(Safe-D)大学交通中心(UTC)资助。
{"title":"Small and rural towns’ perception of autonomous vehicles: insights from a survey in Texas","authors":"Muhammad Usman, Wei Li, Jiahe Bian, Andong Chen, Xinyue Ye, Xiao Li, Bahar Dadashova, Chanam Lee, Kiju Lee, Sivakumar Rathinam, Marcia Ory","doi":"10.1080/03081060.2023.2259373","DOIUrl":"https://doi.org/10.1080/03081060.2023.2259373","url":null,"abstract":"ABSTRACTPeople’s perceptions of Autonomous Vehicles (AVs) are critical to understanding the role of AVs in future transportation systems. Most previous work on AVs perceptions is based on large cities or metropolitan areas. This study provides a unique perspective regarding perceptions of impacts of AVs in small and rural communities through an online survey in Central Texas (n = 1153). Our questionnaires gathered basic socio-demographic characteristics and AV impacts variables identified from the literature. We used summary statistics and ordered logistic regression models to reveal the perceived impacts of AVs. Residents of small and rural communities, particularly older adults (65 + years), were more enthusiastic about the development of AVs than the national average. Our findings reveal that being an employed, married male with a higher income increases the likelihood of accepting the impacts of AVs, suggesting further research to explore a feasible approach to utilizing AVs in small, rural communities.KEYWORDS: Autonomous vehiclePerceptionSmall townRural community AcknowledgmentsWe are grateful to Susan Chrysler, Stacey Alejandro, and Elissa Cuellar from Texas A&M Transportation Institute for their strong support during the data collection.Author contributionsThe authors confirm contribution to the paper as follows: study conception and design: M. Usman, W. Li, J. Bian, A. Chen, X. Ye, X. Li, B. Dadashova, C. Lee, K. Lee, S. Rathinam, M. Ory; data collection: M. Usman, W. Li, J. Bian, A. Chen, X. Ye, X. Li, B. Dadashova, M. Ory; analysis and interpretation of results: M. Usman, W. Li, J. Bian; all authors contributed to draft manuscript preparation, reviewed the results, and approved the final version of the manuscript.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis study is funded by the Safety through Disruption (Safe-D) University Transportation Center (UTC), part of the University Transportation Center Program of the U.S. Department of Transportation.","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135864132","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}
Pub Date : 2023-09-15DOI: 10.1080/03081060.2023.2256717
Frédéric Dobruszkes, Michał Dzięcielski
ABSTRACTThis paper complements the existing literature on Bike Share Schemes (BSS) by investigating their use from a spatiotemporal perspective to assess their relationship with public transport (PT). We address these questions through the case of Brussels and its long-standing docked BSS ‘Villo!’. Our study analyses comprehensive (consecutive 12 months) and disaggregated (station level) data on rentals and returns and finds that Villo! is used mostly in dense (although not all) districts also well served by PT. However, temporal structures suggest Villo! overtakes PT at night in vibrant districts and possibly in selected districts with lower PT services over weekends. In addition, Villo! stations at key PT hubs usually do not show specific temporal patterns, which suggests intermodality may work at all times during PT operations. There could be an evening peak effect combined with the Brussels’ topography, but this needs to be confirmed by on-site surveys.KEYWORDS: Bike-sharingpublic transportspatiotemporal analysisprincipal component analysis AcknowledgmentMichał Dzięcielski gratefully acknowledge the computational grant from the Supercomputing and Networking Center (PSNC) in Poznań, Poland.Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 In Brussels, the ‘premetro’ is an underground-like infrastructure operated by tramways that ride both underground and in the streets.2 JCDecaux API, https://developer.jcdecaux.com/#/home (Accessed 22.04.2023).3 The monthly patterns of Villo! ridership could not be investigated because the period of the investigation was disturbed by post-pandemic recovery and thus increasing usage over time.4 Mathematically speaking, for each PC the statistical package computes the linear correlation between the supplementary variable and the scores.5 We argue that the value of a bike is proportionally higher for a poorer household than for a privileged one.6 This amount is not debited but must be available for the case rules would not be respected.
{"title":"Does docked bike-sharing usage complement or overlap public transport? the case of Brussels, Belgium","authors":"Frédéric Dobruszkes, Michał Dzięcielski","doi":"10.1080/03081060.2023.2256717","DOIUrl":"https://doi.org/10.1080/03081060.2023.2256717","url":null,"abstract":"ABSTRACTThis paper complements the existing literature on Bike Share Schemes (BSS) by investigating their use from a spatiotemporal perspective to assess their relationship with public transport (PT). We address these questions through the case of Brussels and its long-standing docked BSS ‘Villo!’. Our study analyses comprehensive (consecutive 12 months) and disaggregated (station level) data on rentals and returns and finds that Villo! is used mostly in dense (although not all) districts also well served by PT. However, temporal structures suggest Villo! overtakes PT at night in vibrant districts and possibly in selected districts with lower PT services over weekends. In addition, Villo! stations at key PT hubs usually do not show specific temporal patterns, which suggests intermodality may work at all times during PT operations. There could be an evening peak effect combined with the Brussels’ topography, but this needs to be confirmed by on-site surveys.KEYWORDS: Bike-sharingpublic transportspatiotemporal analysisprincipal component analysis AcknowledgmentMichał Dzięcielski gratefully acknowledge the computational grant from the Supercomputing and Networking Center (PSNC) in Poznań, Poland.Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 In Brussels, the ‘premetro’ is an underground-like infrastructure operated by tramways that ride both underground and in the streets.2 JCDecaux API, https://developer.jcdecaux.com/#/home (Accessed 22.04.2023).3 The monthly patterns of Villo! ridership could not be investigated because the period of the investigation was disturbed by post-pandemic recovery and thus increasing usage over time.4 Mathematically speaking, for each PC the statistical package computes the linear correlation between the supplementary variable and the scores.5 We argue that the value of a bike is proportionally higher for a poorer household than for a privileged one.6 This amount is not debited but must be available for the case rules would not be respected.","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135395531","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}
Pub Date : 2023-08-28DOI: 10.1080/03081060.2023.2250341
Shichao Sun, Pingye Wang
ABSTRACT Subjective well-being (SWB) is known to significantly influence individuals’ happiness and health, as well as sustainable social development. One crucial factor that affects residents’ SWB is their choice of transport mode. However, limited research has been conducted on how the use of e-mopeds, one of the most prevalent transportation modes in China, impacts residents’ SWB. To address this gap, this study utilizes survey data from eight traffic analysis zones in Shanghai to conduct an empirical investigation focused on the relationship between the use of e-mopeds for various purposes and residents’ SWB. A Bayesian network (BN) model is established to explore the correlations among travel-related attributes, socio-demographics, and SWB. The model's results reveal a strong correlation between e-moped usage and the likelihood of achieving higher SWB. Consequently, supporting the development of e-mopeds in Shanghai is considered crucial, and targeted policies are suggested.
{"title":"The association between e-moped usage and residents’ subjective well-being: a case study of Shanghai, China by using Bayesian network","authors":"Shichao Sun, Pingye Wang","doi":"10.1080/03081060.2023.2250341","DOIUrl":"https://doi.org/10.1080/03081060.2023.2250341","url":null,"abstract":"ABSTRACT Subjective well-being (SWB) is known to significantly influence individuals’ happiness and health, as well as sustainable social development. One crucial factor that affects residents’ SWB is their choice of transport mode. However, limited research has been conducted on how the use of e-mopeds, one of the most prevalent transportation modes in China, impacts residents’ SWB. To address this gap, this study utilizes survey data from eight traffic analysis zones in Shanghai to conduct an empirical investigation focused on the relationship between the use of e-mopeds for various purposes and residents’ SWB. A Bayesian network (BN) model is established to explore the correlations among travel-related attributes, socio-demographics, and SWB. The model's results reveal a strong correlation between e-moped usage and the likelihood of achieving higher SWB. Consequently, supporting the development of e-mopeds in Shanghai is considered crucial, and targeted policies are suggested.","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"16 1","pages":"976 - 997"},"PeriodicalIF":1.6,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86674916","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}
Pub Date : 2023-08-28DOI: 10.1080/03081060.2023.2252397
Changro Lee
{"title":"Train stations and house prices: a local perspective","authors":"Changro Lee","doi":"10.1080/03081060.2023.2252397","DOIUrl":"https://doi.org/10.1080/03081060.2023.2252397","url":null,"abstract":"","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"93 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74748625","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}
Pub Date : 2023-08-28DOI: 10.1080/03081060.2023.2248195
Thomas R. McKinney, E. Ballantyne, D. Stone
ABSTRACT This paper presents a 7-day Travel Demand Model (TDM) for UK rural areas to aid the Electric Vehicle (EV) transition in these regions. Utilising data from both the UK Census Survey and UK National Travel Survey (NTS), private passenger vehicle travel patterns for a rural village in the Peak District National Park (UK), were modelled. This model is adaptable to any rural community within the UK, requiring only publicly available information on households and vehicles for that community. Using a novel approach through the development of lifestyle scenarios to understand the required household activities, the TDM incorporates five different trip purposes as the building blocks for a vehicle’s activity. Over a period of one week, 13,520 miles were driven by 84 vehicles across 49 households, that shows an EV fleet serving this community would consume 3562 kWh energy per week.
本文提出了英国农村地区的7天旅行需求模型(TDM)，以帮助这些地区的电动汽车(EV)过渡。利用英国人口普查调查和英国国家旅行调查(NTS)的数据，对英国峰区国家公园(Peak District National Park)一个乡村的私人乘用车旅行模式进行了建模。这种模式适用于英国的任何农村社区，只需要该社区的家庭和车辆的公开信息。TDM采用一种新颖的方法，通过发展生活方式场景来了解所需的家庭活动，将五种不同的旅行目的作为车辆活动的构建模块。在一周的时间里，49个家庭的84辆汽车行驶了13520英里，这表明为该社区服务的电动汽车车队每周将消耗3562千瓦时的能源。
{"title":"A data-driven travel demand model to predict electric vehicle energy consumption: focusing on the rural demographic in the UK","authors":"Thomas R. McKinney, E. Ballantyne, D. Stone","doi":"10.1080/03081060.2023.2248195","DOIUrl":"https://doi.org/10.1080/03081060.2023.2248195","url":null,"abstract":"ABSTRACT This paper presents a 7-day Travel Demand Model (TDM) for UK rural areas to aid the Electric Vehicle (EV) transition in these regions. Utilising data from both the UK Census Survey and UK National Travel Survey (NTS), private passenger vehicle travel patterns for a rural village in the Peak District National Park (UK), were modelled. This model is adaptable to any rural community within the UK, requiring only publicly available information on households and vehicles for that community. Using a novel approach through the development of lifestyle scenarios to understand the required household activities, the TDM incorporates five different trip purposes as the building blocks for a vehicle’s activity. Over a period of one week, 13,520 miles were driven by 84 vehicles across 49 households, that shows an EV fleet serving this community would consume 3562 kWh energy per week.","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"458 1","pages":"951 - 975"},"PeriodicalIF":1.6,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75829621","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}
Pub Date : 2023-08-18DOI: 10.1080/03081060.2023.2246959
Ruichun He, Hongxing Zhao, Zhongni Ye, Liumeng Yang
{"title":"Time optimization of urban arterial coordinated control based on multidimensional neighbourhood artificial bee colony algorithm","authors":"Ruichun He, Hongxing Zhao, Zhongni Ye, Liumeng Yang","doi":"10.1080/03081060.2023.2246959","DOIUrl":"https://doi.org/10.1080/03081060.2023.2246959","url":null,"abstract":"","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"46 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74513519","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}
Pub Date : 2023-08-18DOI: 10.1080/03081060.2023.2242841
Xinying Zhang, Zhishen Yi, Minghui Xie, Yanan Gao, Yuanqing Wang
ABSTRACT The emergence of parking application software (parking APP), considerably decreases unnecessary vehicle circling and enhances parking resource utilization. Despite the abundant functions available, limited research has considered customer requirements and satisfaction regarding the functions of parking APPs. This research exactly examined the customer perception, as well as how satisfied customers were with the functions provided by the parking APPs. Initially, the attribute classification of functions was identified utilizing Kano model based on a questionnaire survey in Hunan Province, China. The integrated functions were then used as an antecedent to evaluate customer satisfaction by structural equation model (SEM). The data analysis suggests the perceived quality is positively influenced by the four main functions of query, navigation, evaluation, and account. The results reveal that customers have less demand for automatic space grabbing and reverse vehicle tracking in small and medium-sized cities.
{"title":"Exploring customer perception and satisfaction on the functions of parking application software","authors":"Xinying Zhang, Zhishen Yi, Minghui Xie, Yanan Gao, Yuanqing Wang","doi":"10.1080/03081060.2023.2242841","DOIUrl":"https://doi.org/10.1080/03081060.2023.2242841","url":null,"abstract":"ABSTRACT The emergence of parking application software (parking APP), considerably decreases unnecessary vehicle circling and enhances parking resource utilization. Despite the abundant functions available, limited research has considered customer requirements and satisfaction regarding the functions of parking APPs. This research exactly examined the customer perception, as well as how satisfied customers were with the functions provided by the parking APPs. Initially, the attribute classification of functions was identified utilizing Kano model based on a questionnaire survey in Hunan Province, China. The integrated functions were then used as an antecedent to evaluate customer satisfaction by structural equation model (SEM). The data analysis suggests the perceived quality is positively influenced by the four main functions of query, navigation, evaluation, and account. The results reveal that customers have less demand for automatic space grabbing and reverse vehicle tracking in small and medium-sized cities.","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"12 1","pages":"929 - 950"},"PeriodicalIF":1.6,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76054591","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}
Pub Date : 2023-08-09DOI: 10.1080/03081060.2023.2245389
M. Milenković, M. Gligorić, N. Bojovic, Z. Gligorić
{"title":"A comparison between ARIMA, LSTM, ARIMA-LSTM and SSA for cross-border rail freight traffic forecasting: the case of Alpine-Western Balkan Rail Freight Corridor","authors":"M. Milenković, M. Gligorić, N. Bojovic, Z. Gligorić","doi":"10.1080/03081060.2023.2245389","DOIUrl":"https://doi.org/10.1080/03081060.2023.2245389","url":null,"abstract":"","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"14 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72731491","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}
Pub Date : 2023-08-02DOI: 10.1080/03081060.2023.2242855
S. Yan, Tsung-Hsun Hsieh, S. Chen
ABSTRACT An intercity bus service includes several bus stations for passenger access and bus service routes for bus operating between designated pairs of stations. Fundamentally, whether stations and bus service routes are operating normally or not has a direct impact on profits and the passenger service rate. However, changes in passenger demand patterns over time can lead to changes in the importance of stations and bus service routes, a problem that has rarely been discussed in the literature. This study applies a scheduling model to perform vulnerability analyses related to intercity bus schedules and routes in short-term operations. A series of analyses were conducted to observe the changes in the optimization results by changing its configurations. The results illustrate the vulnerability of the transportation system components under different scenarios and operating strategies, which could help an intercity bus carrier respond early to effectively maintain its operations.
{"title":"Vulnerability analysis of an intercity bus carrier’s short-term operations","authors":"S. Yan, Tsung-Hsun Hsieh, S. Chen","doi":"10.1080/03081060.2023.2242855","DOIUrl":"https://doi.org/10.1080/03081060.2023.2242855","url":null,"abstract":"ABSTRACT An intercity bus service includes several bus stations for passenger access and bus service routes for bus operating between designated pairs of stations. Fundamentally, whether stations and bus service routes are operating normally or not has a direct impact on profits and the passenger service rate. However, changes in passenger demand patterns over time can lead to changes in the importance of stations and bus service routes, a problem that has rarely been discussed in the literature. This study applies a scheduling model to perform vulnerability analyses related to intercity bus schedules and routes in short-term operations. A series of analyses were conducted to observe the changes in the optimization results by changing its configurations. The results illustrate the vulnerability of the transportation system components under different scenarios and operating strategies, which could help an intercity bus carrier respond early to effectively maintain its operations.","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"73 1","pages":"1050 - 1076"},"PeriodicalIF":1.6,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77249998","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}
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