Research in Transportation Business and Management最新文献

{"title":"Will you still drive or are you ready to ride? Exploring readiness to use demand-responsive transport in the City of Vienna","authors":"Oleksandr Rossolov ,&nbsp;Roxani Gkavra ,&nbsp;Yusak O. Susilo","doi":"10.1016/j.rtbm.2024.101277","DOIUrl":"10.1016/j.rtbm.2024.101277","url":null,"abstract":"<div><div>Demand-responsive transport (DRT) is recognized as a potential solution for mitigating car-dependent mobility in areas with underdeveloped public transport systems. However, whether DRT competes with or complements public transport remains unclear. This study investigates these dynamics using the stated preference method and random utility maximization theory, emphasizing the role of long-term mobility patterns, such as years of car driving, alongside specific attributes of DRT and car modes. The research incorporates stated preference (SP) scenarios reflecting diverse travel needs, including urgent versus flexible trips and requirements for transporting luggage, baby stroller, or small bags. Data was collected in Vienna, where DRT services are implemented, comprising 2934 SP choices from 326 respondents. The analysis involved two stages: discrete choice modeling was first used to assess random and systematic effects on decision-making via the Monte Carlo method. The second stage explored substitution effects, willingness-to-pay, and policy implications for DRT deployment. Findings indicate that only 9.35 % of participants perceive years of car driving as positively influencing their readiness to use DRT, while for 90.65 %, more driving experience negatively affects DRT utility. Parking fee increases were found to enhance the likelihood of choosing DRT over public transport or biking. Furthermore, substitution pattern analysis highlights a stronger sensitivity to travel time changes than to travel cost variations in first/last-mile travel contexts. These insights provide valuable guidance for the effective integration of DRT into urban mobility systems.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101277"},"PeriodicalIF":4.1,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140395","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}

{"title":"Creating an operational evaluation model for catering delivery platforms using an expanded BOCR theory","authors":"Pei-Hsuan Tsai,&nbsp;Jia-Wei Tang","doi":"10.1016/j.rtbm.2024.101267","DOIUrl":"10.1016/j.rtbm.2024.101267","url":null,"abstract":"<div><div>A comprehensive understanding of the operational evaluation model for catering delivery service platforms (CDSPs) is essential for generating revenue, gaining competitive advantages, and achieving sustainable development in the transportation industry and management, both during and after the COVID-19 pandemic. This study developed an operational evaluation model for CDSPs by expanding upon the benefits, opportunities, costs, and risks (BOCR) theory to include a governmental perspective. The effectiveness of the model was assessed using multiple-attribute decision-making (MADM) methods. Key factors in the development of the model were identified through a literature review and survey questionnaire, resulting in five evaluation dimensions and 23 criteria. Fifteen industry experts participated in the survey. To validate causal relationships and construct an influential network relations map (INRM) for each criterion, the decision-making trial and evaluation laboratory (DEMATEL) method was utilised for analysis. The deterministic DEMATEL-based analytic network process (DANP) technique was utilised to calculate influential weights. The results from the INRM indicated that the most influential factors for improving CDSPs were risks, government, costs, opportunities, and benefits. Furthermore, the influential weights determined through the DANP analysis identified benefits as the most significant dimension, followed by costs, opportunities, risks, and government. This study contributes theoretically to the existing literature by incorporating the government's perspective into the BOCR framework and utilizing advanced MADM methods for model evaluation. These findings provide valuable insights for decision- makers in CDSPs, emphasising the importance of addressing risks and government-related factors while prioritising benefits to enhance performance and sustainability in the post-pandemic landscape.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101267"},"PeriodicalIF":4.1,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140401","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":"Social cost reduction by optimizing the delivery network and changing the operational strategy: Study on Seoul-city cases","authors":"Sung Ho Hur ,&nbsp;YoungBeom Kim","doi":"10.1016/j.rtbm.2024.101276","DOIUrl":"10.1016/j.rtbm.2024.101276","url":null,"abstract":"<div><div>With increasing demand for parcel delivery services, social expenses, including the growth of delivery vehicles and distances, have risen accordingly. Securing parcel delivery facilities for services in large cities is particularly challenging because of high land costs and citizens' complaints about facilities. Therefore, logistics sprawl, in which facilities are situated relatively far from the destination, on the outskirts of the city, or in nearby areas, has led to a dramatic increase in social expenses. In this study, we calculated the social cost of parcel delivery based on current cases in Seoul. Our results revealed that with the optimal allocation of demand areas to the facility alone, the social cost decreased by 40 % in these cases, representing a considerable decrease. Moreover, we discovered that by securing alternative facility locations in addition to the original facilities and optimizing them, social costs can further decrease by 53 %. Additionally, considering the predictable increase in environmental costs, securing additional alternatives for facility locations could help mitigate the rising social costs resulting from increased environmental costs. Accordingly, this study proposes policy directions for the government and public authorities to minimize the social costs arising from parcel delivery. Additionally, the findings of this study suggest that the results can be utilized by companies to develop new management strategies, such as joint logistics centers, within the evolving policy environment.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101276"},"PeriodicalIF":4.1,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140492","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":"Optimization of intermodal transportation routes for perishable goods considering customer satisfaction","authors":"Honghan Bei ,&nbsp;Miaomiao Yu ,&nbsp;Tianren Yang ,&nbsp;Roberto Murcio","doi":"10.1016/j.rtbm.2024.101261","DOIUrl":"10.1016/j.rtbm.2024.101261","url":null,"abstract":"<div><div>With the deep integration and innovative development of the Internet and traditional industries, perishable goods such as fresh fruits and vegetables can be sold through more diverse channels to distant regions. The perishable nature of these goods, characterized by short expiration dates and susceptibility to spoilage, presents significant challenges to their transportation. This paper proposed an intermodal transportation route optimization method for perishable goods, considering the use of refrigerated containers and customer satisfaction. The route optimization model minimizes quality loss, transportation costs, and carbon emissions while treating customer satisfaction as a constraint. Using the “Urumqi-Shanghai” intermodal transportation network as an example, the model applies a multi-objective particle swarm optimization algorithm for solution and conducts sensitivity analysis to explore the impact of changes in transportation modes and customer satisfaction constraints on three objectives, ultimately obtaining the optimal transportation route between the origin and destination.</div><div>The results show that intermodal transportation of perishable goods generally has cost advantage over single-mode transportation. The constraint on customer satisfaction can eliminate uneconomical routes and provide more options to meet the changing customer demands. An increase in customer satisfaction can also reduce the quality loss of perishable goods during transportation. These improvements confirm the effectiveness of the proposed intermodal transportation route optimization model and the importance of incorporating customer satisfaction into the choice of transportation route for perishable goods. The proposed model is expected to provide valuable insights into model development and its applications for transporting perishable goods.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101261"},"PeriodicalIF":4.1,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140351","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":"Air cargo traffic forecasting model: An empirical study in Vietnam using the SARIMA-X/(E)GARCH model","authors":"Quang Hai Nguyen ,&nbsp;Phu Quang Tran ,&nbsp;Phươc Duc Ngo","doi":"10.1016/j.rtbm.2024.101268","DOIUrl":"10.1016/j.rtbm.2024.101268","url":null,"abstract":"<div><div>Modelling and forecasting air cargo traffic is an extremely necessary issue for air transport management. This study uses the combined model SARIMA-X/EGARCH to model and forecast Vietnam's air cargo traffic. Using quarterly data spanning 1999 to 2022 and key socio-economic factors affecting air cargo traffic, the empirical models reveal that international trade plays a more important positive role than GDP in explaining the volatility of air cargo traffic in Vietnam. In addition, the serious negative impact of the COVID-19 pandemic on the volatility of air cargo transport in Vietnam is also explained by the models. However, convincing evidence of the negative impact of crude oil prices on air cargo traffic in Vietnam has not been found. Different scenarios forecasting Vietnam's air cargo traffic to 2030 have also been proposed from the estimation results. These findings are the basis to support decision-making and policies to develop air cargo transport in Vietnam.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101268"},"PeriodicalIF":4.1,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140403","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":"Factors affecting efficient cargo logistics management at Murtala Muhammed International Airport, Lagos, Nigeria","authors":"Adedotun Joseph Adenigbo,&nbsp;Joash Mageto,&nbsp;Rose Luke","doi":"10.1016/j.rtbm.2024.101252","DOIUrl":"10.1016/j.rtbm.2024.101252","url":null,"abstract":"<div><div>Cargo logistics management at most commercial airports is crucial to a nation’s economy and serves as a revenue source for airlines and other stakeholders. To maximise the importance of cargo operations at airports, there is a need to successfully manage cargo distribution efficiently to reduce delivery time and costs. However, achieving efficient air cargo logistics management is often challenging due to several factors limiting cargo processing. This paper examines the factors affecting cargo logistics management at airports in Nigeria. The study followed the quantitative research method and surveyed various stakeholders by random sampling at the Murtala Mohammed International Airport, Lagos through a well-designed research questionnaire. Data collected were analysed using exploratory and confirmatory factor analysis. Exploratory Factor Analysis (EFA) identified bureaucracy, equipment and facilities, traffic flow, and malpractices as the significant factors affecting the logistics of cargo distribution at the airport. Confirmatory Factor Analysis (CFA) validated the statistical significance of bureaucracy, equipment and facilities, traffic flow, and malpractices as critical factors affecting the logistics of cargo distribution at the airport. It was found that bureaucracy negatively affects equipment and facilities, while malpractices negatively affect traffic flow and equipment and facilities. The findings highlight the need to incorporate real-time automation of cargo processing with equipment provision to enhance airports' capacity for efficient cargo logistics management in Nigeria. In practice, the finding implies that airport stakeholders need to improve their efficiency by eliminating bureaucratic bottlenecks to cargo distribution. The finding also highlights research need to examine the level at which bureaucracy and malpractices impact cargo supply chains at airports. The study impacts the air cargo logistics industry with strategic options for improving airport cargo operations.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101252"},"PeriodicalIF":4.1,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140402","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}

{"title":"Cooperate with aggregation platform or not? Optimal decision for the on-demand ride service platform","authors":"Lina Ma ,&nbsp;Zhijie Tao ,&nbsp;Qiang Wei ,&nbsp;Baofeng Huo","doi":"10.1016/j.rtbm.2024.101251","DOIUrl":"10.1016/j.rtbm.2024.101251","url":null,"abstract":"<div><div>In recent years, the emergence of aggregation mode has enabled consumers to access multiple ride service platforms through a single app, including small and medium-sized platforms. This relatively inclusive and equitable traffic distribution model not only presents new opportunities for these platforms but also heightens competitiveness among them. In this context, this paper establishes models to analyze the optimal cooperation strategies of ride service platforms and the impact of various factors on these strategies under different market conditions. The findings suggest that it is optimal for ride service platforms to cooperate with the aggregation platform. Sensitivity analysis indicates that the optimal pricing and profit of a ride service platform increase with its additional network externality. In a highly competitive market, the optimal pricing and profit will decrease with the rival platform's additional network externality and increase with the congestion level of both sides. Furthermore, the analysis reveals that while the aggregation platform has the right to choose cooperation, it will only collaborate with one ride service platform if the profit distribution from this cooperation exceeds that from partnering with both platforms. For the platform without cooperation, the outcome is not always worse than before, and the conditions for this scenario are provided. Finally, based on these conclusions, corresponding managerial implications are proposed for each stakeholder.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101251"},"PeriodicalIF":4.1,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140355","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":"Cargo consolidation in port-hinterland container transport: A spatial economic assessment for inland waterways","authors":"Felipe Bedoya-Maya ,&nbsp;Peter Shobayo ,&nbsp;Adrien Nicolet ,&nbsp;Eva Christopoulou ,&nbsp;Ivo Majoor ,&nbsp;Edwin van Hassel ,&nbsp;Thierry Vanelslander","doi":"10.1016/j.rtbm.2024.101254","DOIUrl":"10.1016/j.rtbm.2024.101254","url":null,"abstract":"<div><div>Inland waterway transport (IWT) stands out as one of the most sustainable modes of freight transport for port-hinterland connections. However, the full potential of IWT remains underutilized in Europe due to logistical inefficiencies. Specifically, the low loading factors of vessels and containers result in the need for more services to transport the same level of cargo, leading to increased costs and travel time, thereby diminishing market competitiveness. The aim of this paper is to develop a spatial-economic assessment of a cargo consolidation strategy for IWT, leveraging a discrete event simulation model that accounts for network characteristics, modal competition with road and rail services, travel time, and costs. It employs an evaluation framework that focuses on cost savings per TEU of different implementation scenarios. A case study on container flows in the Rhine-Alpine Corridor was conducted, evaluating three strategic locations for deploying a container freight station. Compared to the baseline scenario, only one implementation location resulted in positive cost savings, contingent on the annual proportion of less-than-container-load units eligible for consolidation. The study offers insights for infrastructure planning decision-making by identifying a convenient location for the container freight station and determining the necessary conditions of container flows that would enable the policy to be beneficial.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101254"},"PeriodicalIF":4.1,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140354","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":"An exploration of shipbuilding price prediction for container ships: An integrated model application of deep learning","authors":"Miao Su ,&nbsp;Zhenqing Su ,&nbsp;Sung-Hoon Bae ,&nbsp;Jiankun Li ,&nbsp;Keun-sik Park","doi":"10.1016/j.rtbm.2024.101248","DOIUrl":"10.1016/j.rtbm.2024.101248","url":null,"abstract":"<div><div>Shipbuilding price forecasts are key to the maritime industry's foresight, cost management, and competitive edge. This study fills a gap in the existing theoretical and empirical literature on shipbuilding price forecasting by collecting and analyzing weekly price data from October 4, 1996 to September 30, 2022, covering 17,641 observations. The study employs a CNN-BILSTM-AM model, which combines a CNN, BILSTM, AM, for shipbuilding price prediction. The findings suggest that this ensemble model effectively captures the non-linear and time-varying characteristics of shipbuilding price fluctuations. It demonstrates good adaptability to random sample selection, data frequency, and structural disruptions in the sample. This model boasts an impressive predictive accuracy, with an R ² value of 94.3 %, surpassing many standalone, composite, and traditional forecasting approaches. This study proposes a CNN-BILSTM-AM integrated model that significantly improves the shipbuilding price prediction accuracy and extends the application of machine learning in shipping economics. This study furnishes decision-support and risk management tools, utilizing historical big data to forecast shipbuilding prices, tailored for governments, financial institutions, the shipbuilding industry, and the global shipping industry.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101248"},"PeriodicalIF":4.1,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140352","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":"Does high-speed rail complement or substitute other transportation modes? City-level evidence from China","authors":"Yanyan Gao ,&nbsp;Shunfeng Song ,&nbsp;Yue Zou","doi":"10.1016/j.rtbm.2024.101250","DOIUrl":"10.1016/j.rtbm.2024.101250","url":null,"abstract":"<div><div>China has been the world's largest high-speed rail (HSR) country, with a total length of over 40,000 km. While the literature has widely examined various effects of HSR, it is still rare to examine its aggregate transportation effect and the effects on road transportation. We constructed panel data from 256 Chinese prefectural-level cities between 2001 and 2019 and estimated the transportation effects of HSR using a difference-in-differences approach. Our results reveal that HSR connection does not have a significant effect on overall and highway transportation outcomes, but it increases railway passenger volumes by 36.3 % and reduces airport freight and passenger throughputs by around 45 % and 80 %, respectively. Further studies show that HSR complements highways to improve passenger transportation and substitutes conventional trains for transporting passengers. HSR also reduces buses by about 11 % but increases taxis by about 7 %. These results suggest that HSR plays more in substituting other transportation and restructuring China's transportation system.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"59 ","pages":"Article 101250"},"PeriodicalIF":4.1,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140353","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}