{"title":"Transit warehouse location selection by IF AHP- TOPSIS integrated methods for disaster logistics: A case study of Turkey","authors":"Nigar Yesilcayir , Gulsah Ayvazoglu , Sefa Celik , Iskender Peker","doi":"10.1016/j.rtbm.2024.101232","DOIUrl":"10.1016/j.rtbm.2024.101232","url":null,"abstract":"<div><div>Disasters; like earthquakes, fires, floods, wars, etc., are totally undesired events because they can cause unforeseen enormous physical, economic and social losses. In this respect, disaster logistics is crucial in providing fast and effective humanitarian aid at the lowest cost and with no profit motive in case of these unpredictable events. There are many supporting elements to achieve this goal and one of them is building transit warehouses. The aim of this study is to select the most suitable transit warehouse location in the Province of Hatay, Turkey. The weights of the criteria are determined by Intuitionistic Fuzzy AHP and the alternatives are ranked by Intuitionistic Fuzzy TOPSIS. The results show that “Emergency Cases and Natural Disaster” is the most important criterion and Alternative 3 (Kırıkhan) is the best location for the transit warehouse.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"57 ","pages":"Article 101232"},"PeriodicalIF":4.1,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142555041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jingcai Yu , Shunchao Wang , Bingtong Wang , Wenquan Li , Tao Feng
{"title":"Effects of COVID-19 on flex route transit utilization: An interrupted time series analysis","authors":"Jingcai Yu , Shunchao Wang , Bingtong Wang , Wenquan Li , Tao Feng","doi":"10.1016/j.rtbm.2024.101230","DOIUrl":"10.1016/j.rtbm.2024.101230","url":null,"abstract":"<div><div>The COVID-19 outbreak has exerted serious effects on the transportation system, especially public transport. Flex route transit (FRT), one of public transport, has shown significant advantages in transporting passengers during COVID-19 due to its high flexibility and relatively large cabin spaces. This study aims to estimate the effects of the lockdown and first lockdown ease on FRT utilization through interrupted time series analysis. A survey was conducted in Beijing to collect data regarding the daily FRT utilization of individuals, spanning from December 2019 to May 2020. Results indicated that FRT utilization was immediately reduced during the lockdown, and a decreased trend was observed. After the first lockdown ease was rolled out, FRT utilization showed a rising level and trend. Private car owners showed a lower dependence on FRT than non-car owners. The level of income exerted varying effects in a wide range of periods. FRT utilization among the higher income group was more likely to take effect than the lower income group. The study yields various policy implications for FRT operations during COVID-19 or other pandemics.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"57 ","pages":"Article 101230"},"PeriodicalIF":4.1,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ibrahim Arpaci , Mohammed A. Al-Sharafi , Moamin A. Mahmoud
{"title":"Factors predicting green behavior and environmental sustainability in autonomous vehicles: A deep learning-based ANN and PLS-SEM approach","authors":"Ibrahim Arpaci , Mohammed A. Al-Sharafi , Moamin A. Mahmoud","doi":"10.1016/j.rtbm.2024.101228","DOIUrl":"10.1016/j.rtbm.2024.101228","url":null,"abstract":"<div><div>With their cost-effective performance, potential to encourage environmentally friendly behavior, and increased sustainability, autonomous vehicles (AVs) are expected to lead to significant changes in the economy, society, and the environment. This study investigates factors predicting green behavior and environmental sustainability in AVs. The study developed a research model based on the “Innovation Resistance Theory” (IRT). The proposed model was evaluated with data obtained from 1266 participants through a deep learning-based “artificial neural network” (ANN) and the “partial least squares structural equation modeling” (PLS-SEM) approach. The findings indicated a positive relationship between green behavior and environmental sustainability with AVs. A positive relationship is also found between green behavior and motivators, including environmental benefits, environmental concerns, economic benefits, and technophilia. In contrast, cost barriers, along with security and privacy concerns, negatively predict green behavior. The sensitivity analysis using the ANN approach revealed that economic benefits were the most crucial factor in predicting green behavior. These results offer important insights into understanding the key barriers and drivers predicting the acceptance of AVs. The findings contribute to stakeholders making informed decisions, developing effective strategies, and contributing to AVs' sustainable and successful integration into social life.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"57 ","pages":"Article 101228"},"PeriodicalIF":4.1,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The future of personal electric mobility in emerging economies: A survey of e-moto users in Vietnam","authors":"Minh Hieu Nguyen , Dorina Pojani , Duy Quy Nguyen-Phuoc","doi":"10.1016/j.rtbm.2024.101227","DOIUrl":"10.1016/j.rtbm.2024.101227","url":null,"abstract":"<div><div>Decarbonizing private transport is crucial in the highly polluted cities of low- and middle-income countries, such as Vietnam. In motorcycle-dominated megacities, this means gradually converting the conventional motorcycle fleet into e-motos. In this study set in Hanoi, we examined the factors that explain existing e-moto riders' attachment to this mode. For this purpose, we built a novel theoretical framework called VEMM (Values and Expectations in Mobility Model), which combines the constructs of the Expectation Confirmation Model (ECM) and the Value-Based Adoption Model (VBAM). Survey data collected from 481 e-moto users in Hanoi were analysed by applying a Partial Least Squares Structural Equation Model (PLS-SEM). We found that the enduring intention to use e-motos is positively related to perceived value, user satisfaction, and perceived usefulness. We controlled for riders' gender, age, education, and living area but only education was statistically significant. Overall, we found that the perceived value of e-motos owed more to the perceived benefits (usefulness, enjoyment, and eco-friendliness) than the perceived costs (risk, price, technicality, habit, and stigma) of this mode. Based on these findings, we recommend that manufacturers consider the critical role of values when designing and promoting e-motos.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"57 ","pages":"Article 101227"},"PeriodicalIF":4.1,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Who owns Electric Vehicles (EVs)? The relationship between EV adoption and socio-demographic characteristics across different price segments and brands in the Texas triangle","authors":"Seung Jun Choi, Junfeng Jiao, Tigris Mendez","doi":"10.1016/j.rtbm.2024.101225","DOIUrl":"10.1016/j.rtbm.2024.101225","url":null,"abstract":"<div><div>This study investigates disparities in Electric Vehicle (EV) adoption among different socio-economic groups and geographic areas within Texas. We focused on the Texas Triangle, which includes Austin, Houston, San Antonio, and the Dallas-Fort Worth metropolitan area. Using EV registration data, our study applied unsupervised machine learning techniques, specifically hierarchical clustering analysis, to identify distinct patterns of EV adoption. We conducted a longitudinal analysis to investigate changes in carmakers' market share and to understand EV adoption patterns over time. We used Anselin Local Moran's I analysis to profile the characteristics of Tesla owners. Our analysis results revealed significant market segmentation in the EV market, particularly between different sale price ranges and brands. Notably, Tesla emerged as a market leader with strong brand appeal in the mid to high price tiers. EV adoption has been spreading from the Texas Triangle. Clusters with overall high EV registration, as identified in Anselin Local Moran's I analysis, were more associated with high-income, highly educated communities, where residents own multiple vehicles and are predominantly White. This trend was also observed among Tesla owners in relative to low-tier EV adopters. The mismatch exists between the density of registered EVs and the availability of both public and Tesla charging stations, with a notable disparity between urban centers and outskirts. More importantly, we highlight the reluctance of disadvantaged groups to purchase EVs, regardless of price or brand, underscoring the need for policy interventions that address distributive fairness. Current federal incentives and local rebate programs should better serve disadvantaged communities to promote equitable EV adoption.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"57 ","pages":"Article 101225"},"PeriodicalIF":4.1,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Revolutionizing commutes: Unraveling the factors shaping Chinese consumers' acceptance of shared autonomous vehicles (SAVs) with an integrated UTAUT2 model","authors":"Wenchao Cao , Yanyan Chen , Ke Wang","doi":"10.1016/j.rtbm.2024.101224","DOIUrl":"10.1016/j.rtbm.2024.101224","url":null,"abstract":"<div><div>This study aims to systematically investigate the key factors influencing the acceptance and usage intentions of potential users towards Shared autonomous vehicles (SAVs). To achieve this, we employ an integrated and extended Unified Theory of Acceptance and Use of Technology (UTAUT2) framework to comprehensively elucidate the factors influencing the intention to use SAVs. We collected 435 survey responses from people residing in China, and structural equation modeling was utilized to confirm the theoretical model. According to the results, factors such as effort expectancy, social influence, hedonic motivation, and facilitating conditions have significant positive effects on the behavioral intention of SAVs, while perceived risk exhibits a significant negative impact. Furthermore, demographic variables (such as age, education level, and occupation) exert significant moderating effects on the model. This study expands the understanding of users' intentions in the context of SAVs, providing valuable insights for a more comprehensive understanding of the public's willingness to accept SAVs.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"57 ","pages":"Article 101224"},"PeriodicalIF":4.1,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142437664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alyson L.P. Rodrigues , Peter Wells , Liana Cipcigan , Sônia Regina da Cal Seixas
{"title":"Forecasting the costs of battery electric buses: A system dynamics model perspective","authors":"Alyson L.P. Rodrigues , Peter Wells , Liana Cipcigan , Sônia Regina da Cal Seixas","doi":"10.1016/j.rtbm.2024.101223","DOIUrl":"10.1016/j.rtbm.2024.101223","url":null,"abstract":"<div><div>The high investment costs of battery electric buses (BEBs), influenced directly by battery and infrastructure costs, pose a challenge that limits their large-scale adoption. Therefore, the success of this socio-technical transition requires economic feasibility analyses to identify the optimum adoption pathway. This study presents a system dynamics model (SDM) covering adoption scenarios from 2023 to 2030. The development of the model was established through interdisciplinary workshops conducted with local researchers from Brazil for collaborative conceptualization and modeling. We provide details of the costs involved, considering purchase, operation, maintenance, and infrastructure costs. Dynamic simulations show the estimated Total Cost of Ownership (TCO) for overnight and opportunity charging over the years, allowing a better understanding of the trade-off between large and small batteries for purchasing decisions and selecting charging infrastructure to reduce total costs. Our results indicate potential transport management concerning long-term cost planning associated with various battery sizes and charging strategies.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"57 ","pages":"Article 101223"},"PeriodicalIF":4.1,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142432987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"High-speed rail operation network and urban economic development in western China: A spatial difference-in-differences approach","authors":"Ying Lu, Wenhui Yu, Shuyue Yao","doi":"10.1016/j.rtbm.2024.101222","DOIUrl":"10.1016/j.rtbm.2024.101222","url":null,"abstract":"<div><div>The implementation of large-scale, interconnected High-Speed Rail (HSR) projects is shifting westwards in China, raising significant concerns among governments and planners about their impact on the economic development of less developed inland cities. This study, which is based on data from western inland China from 2009 to 2021, constructs an HSR operation network (HSRON) to analyse the impact of city nodes' HSR network importance (HSRI) on urban economic development via a network analysis and continuous spatial difference-in-differences (SDID) model. The research findings indicate that (1) the HSRON in the western area has a multicentric structure with provincial capitals serving as mediator nodes; (2) the HSRON has considerable positive and spatial spillover effects on urban economies; (3) the mechanism testing identifies population agglomeration, technological innovation, and the industrial structure as the three primary channels through which the HSRON exerts its influence; and (4) heterogeneity analysis reveals that the economic benefits are more pronounced in large cities with populations exceeding 5 million, resource-based cities, and cities within a 200 km radius of central cities.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"57 ","pages":"Article 101222"},"PeriodicalIF":4.1,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring industry acceptance of maritime autonomous surface ships: A grounded theory approach","authors":"Li Yiteng, Zhu Ling","doi":"10.1016/j.rtbm.2024.101221","DOIUrl":"10.1016/j.rtbm.2024.101221","url":null,"abstract":"<div><div>In recent years, the development of Maritime Autonomous Surface Ships (MASS) has gained unprecedented momentum. However, little attention has been paid to acquiring a comprehensive understanding of the shipping industry's attitude and perceptions toward accepting and commercializing them. This study aims to fill this research gap by developing a substantive theoretical framework to analyze and understand the industry's acceptance of MASS. Utilizing the classic grounded theory method, we conducted semi-structured interviews with senior or top managers in the shipping industry. Our proposed theoretical framework integrates two main categories and eight core categories, collectively encompassing 21 distinct factors influencing the adoption of MASS. By revealing the complex interactions between these factors, the framework offers significant policy implications and practical strategies for stakeholders. This study provides valuable insights into the factors that influence the industry's decision to adopt and operate MASS, enhancing the understanding of technology acceptance in the shipping industry.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"57 ","pages":"Article 101221"},"PeriodicalIF":4.1,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jianqiang Cui , John D. Nelson , Mark Beecroft , Dong Lin
{"title":"Subway systems and tourism: An overview and implications","authors":"Jianqiang Cui , John D. Nelson , Mark Beecroft , Dong Lin","doi":"10.1016/j.rtbm.2024.101205","DOIUrl":"10.1016/j.rtbm.2024.101205","url":null,"abstract":"<div><div>Subway systems have long been a principal form of urban public transport. Subway systems affect urban development in many aspects such as land use, travel behaviour, and service industries including tourism. Tourism nowadays makes a significant contribution to economic success and yields social benefits for cities and countries. Transport can have a considerable impact on tourists' experiences at destinations. In many cities, tourists comprise a considerable proportion of public transport users, especially during holiday periods, and subways, as a speedy, convenient, accessible, affordable, and comfortable travel choice, are used by many tourists. With an increasing number of cities with subway development (existing and planned), growing numbers of domestic and international tourist trips, and global interests in growing the tourism industry, it is time to investigate the relationship between subways and tourism to identify their contribution to tourism at destinations. This international overview explores tourism facilities and subway stations and networks, tourism-related architecture and design of subway stations, subway-related travel behaviour and perceptions of tourists, and subways and sustainable tourism. It confirms the close spatial relationship between subways and tourism facilities, the subway station's role as a new heritage frontier, the subway as the preferred transport mode of many tourists, and the opportunities and challenges that subways present to sustainable tourism. This overview is significant in that it bridges subway systems and tourism in a comprehensive way. It provides important implications for subway-related transport policies and practices, as well as suggestions for future research.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"57 ","pages":"Article 101205"},"PeriodicalIF":4.1,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142322794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}