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Cooperate with aggregation platform or not? Optimal decision for the on-demand ride service platform
IF 4.1 2区 工程技术 Q2 BUSINESS Pub Date : 2024-12-06 DOI: 10.1016/j.rtbm.2024.101251
Lina Ma , Zhijie Tao , Qiang Wei , Baofeng Huo
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.
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引用次数: 0
Cargo consolidation in port-hinterland container transport: A spatial economic assessment for inland waterways
IF 4.1 2区 工程技术 Q2 BUSINESS Pub Date : 2024-12-05 DOI: 10.1016/j.rtbm.2024.101254
Felipe Bedoya-Maya , Peter Shobayo , Adrien Nicolet , Eva Christopoulou , Ivo Majoor , Edwin van Hassel , Thierry Vanelslander
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.
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引用次数: 0
An exploration of shipbuilding price prediction for container ships: An integrated model application of deep learning
IF 4.1 2区 工程技术 Q2 BUSINESS Pub Date : 2024-12-03 DOI: 10.1016/j.rtbm.2024.101248
Miao Su , Zhenqing Su , Sung-Hoon Bae , Jiankun Li , Keun-sik Park
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.
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引用次数: 0
Does high-speed rail complement or substitute other transportation modes? City-level evidence from China
IF 4.1 2区 工程技术 Q2 BUSINESS Pub Date : 2024-12-03 DOI: 10.1016/j.rtbm.2024.101250
Yanyan Gao , Shunfeng Song , Yue Zou
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.
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引用次数: 0
Multimodality at destination: A focus on domestic tourism 目的地多式联运:以国内旅游为主
IF 4.1 2区 工程技术 Q2 BUSINESS Pub Date : 2024-12-02 DOI: 10.1016/j.rtbm.2024.101249
Ila Maltese , Daniele Crotti , Edoardo Marcucci , Valerio Gatta , Luisa Scaccia
Transport externalities can strongly affect the attractiveness of tourist destinations. Tourists' multimodality at destination, reducing private motorised mobility, improves sustainability and city appeal. The paper explores tourists' intention to utilise multiple modes of transport via a survey of more than 1900 potential tourists in Italy. It reports ordered probit model results, indicating that transport mode towards destination, information, and tourists' age are crucial. The beneficiaries of the results this paper produces are: 1) public decision-makers who can exploit this information when defining transport service characteristics (e.g., efficiency and comfort); 2) tour operators who can fruitfully use these results when including transport services in their products, along with accommodation and catering; 3) tourism managers who can stimulate multimodality by targeting specific initiatives to different population groups.
交通外部性会强烈影响旅游目的地的吸引力。游客在目的地的多式联运,减少了私人机动出行,提高了可持续性和城市吸引力。本文通过对意大利1900多名潜在游客的调查,探讨了游客利用多种交通方式的意图。它报告了有序概率模型结果,表明到达目的地的交通方式、信息和游客的年龄是至关重要的。本文结果的受益者是:1)公共决策者可以在定义运输服务特征(例如,效率和舒适度)时利用这些信息;2)旅游经营者可以有效地利用这些结果,在他们的产品中包括交通服务,以及住宿和餐饮;3)旅游管理人员,他们可以通过针对不同人群的特定举措来刺激多模态。
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引用次数: 0
The impact of high-speed rail network on high-end service industry development: Evidence from the Yangtze River Delta, China 高铁网络对高端服务业发展的影响——来自中国长三角的证据
IF 4.1 2区 工程技术 Q2 BUSINESS Pub Date : 2024-11-30 DOI: 10.1016/j.rtbm.2024.101253
Sanwei He , Ling Mei , Shan Yu , Shaochun Huang , Lei Wang
Amidst the rapid evolution of transportation infrastructure, high-speed rail emerges as a transformative force reshaping regional economies. This study addresses a critical research gap by exploring the influence of HSR on high-end service industries within China's dynamic Yangtze River Delta region. Recognizing the strategic importance of HSR in contemporary economic landscapes, the research delves into its role as a catalyst for industrial growth, particularly in sectors pivotal for knowledge-intensive high-end service industry. Using Social Network Analysis and fixed effect models, the study assesses the multifaceted impacts of HSR network accessibility and connectivity on key sectors like scientific research, financial services, business services, and information transmission. Findings indicate a significant positive influence on most sectors, although nuances emerge in financial services, highlighting the complex interplay between HSR and sector-specific dynamics. The study further reveals distinct effects across various urban sizes and locations, pointing to an urban-centric advantage in HSR's economic impacts. By identifying market demand, technology spillover, and labor pooling as principal channels of HSR's influence, this research contributes to the understanding of how modern transportation infrastructures can be leveraged for regional economic integration and sectoral development. While focusing on the YRD, the study's insights offer a broader reflection on the strategic planning of HSR in similar global contexts.
在交通基础设施快速发展的背景下,高速铁路成为重塑区域经济的变革力量。本研究通过探索高铁对中国充满活力的长三角地区高端服务业的影响,填补了一个关键的研究空白。认识到高铁在当代经济格局中的战略重要性,该研究深入探讨了高铁作为工业增长催化剂的作用,特别是在知识密集型高端服务业的关键部门。利用社会网络分析和固定效应模型,本研究评估了高铁网络可达性和连通性对科研、金融服务、商业服务和信息传播等关键部门的多方面影响。研究结果表明,高铁对大多数行业产生了显著的积极影响,但金融服务业出现了细微差别,突显出高铁与行业特定动态之间复杂的相互作用。该研究进一步揭示了不同城市规模和位置的明显影响,指出高铁的经济影响具有以城市为中心的优势。通过确定市场需求、技术溢出和劳动力汇集是高铁影响的主要渠道,本研究有助于理解如何利用现代交通基础设施促进区域经济一体化和部门发展。在聚焦长三角的同时,该研究的见解为类似全球背景下的高铁战略规划提供了更广泛的反思。
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引用次数: 0
The effects of TOD on economic vitality in the post-COVID-19 era 后新冠肺炎时代TOD对经济活力的影响
IF 4.1 2区 工程技术 Q2 BUSINESS Pub Date : 2024-11-28 DOI: 10.1016/j.rtbm.2024.101247
Longzhu Xiao , Jixiang Liu , Shanshan Wu
With the changes in people's spatial cognitions, preferences and behavior patterns as a response to the COVID-19 pandemic crisis, the way transit-oriented development (TOD) boosts economic vitality has enormously altered. Hence, this study employs machine learning methods to explore the effects of TOD on economic vitality under COVID-19 and recalibrate existing TOD planning models and design principles. Based on multi-source data of Hong Kong, it measures economic vitality of MTR station areas with life service reviews and depicts built environment therein from three dimensions including node, tie, and place. It discovers that (1) the outbreak of COVID-19 impaired the economic vitality effects of TOD; (2) the global relative importance of MTR station centrality and ground space index declined during the outbreak and bounced back afterwards, meanwhile, that of street centrality, street betweenness, street detour ratio, and green space coverage increased and that of bus density, MTR station betweenness, and average building height decreased; (3) the economic vitality effects of TOD were nonlinear, and the threshold values and effective ranges of built environment variables remained constant across the time; (4) the economic vitality effects of TOD were moderated by the pandemic. This study enlightens urban policymakers and practitioners with nuanced criteria for pandemic-adaptive TOD planning and design strategies.
随着人们对新冠肺炎大流行危机的空间认知、偏好和行为模式的变化,以交通为导向的发展(TOD)促进经济活力的方式发生了巨大变化。因此,本研究采用机器学习方法探讨新冠肺炎背景下TOD对经济活力的影响,并重新校准现有TOD规划模型和设计原则。以香港多源数据为基础,以生活服务评价衡量地铁站区域的经济活力,并从节点、纽带、场所三个维度描绘地铁站区域的建成环境。研究发现:(1)新冠肺炎疫情削弱了TOD的经济活力效应;②地铁站中心性和地面空间指数的全球相对重要性在疫情期间呈下降趋势,疫情后呈回升趋势,街道中心性、街道间距、街道绕行率和绿地覆盖率的相对重要性呈上升趋势,公交密度、地铁站间距和平均建筑高度的相对重要性呈下降趋势;(3) TOD的经济活力效应是非线性的,建筑环境变量的阈值和有效范围在时间上保持不变;(4)大流行对TOD的经济活力效应有调节作用。这项研究为城市政策制定者和实践者提供了适应流行病的TOD规划和设计策略的细致标准。
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引用次数: 0
Environmental certification and the financial performance of passenger airlines. The mediating effect of image perception, asset management and employee behaviour 环境认证和客运航空公司的财务绩效。形象知觉、资产管理与员工行为的中介作用
IF 4.1 2区 工程技术 Q2 BUSINESS Pub Date : 2024-11-28 DOI: 10.1016/j.rtbm.2024.101246
Jose Antonio Cavero-Rubio, Monica Gonzalez-Morales
Passenger airlines is an important sector throughout the world. However, it has faced criticism and pressure due to its harmful effects on the planet, leading airlines to adopt measures to protect the environment. As environmental responsibility can be a source of competitive advantages resulting from an improvement in image and internal technical and operational efficiency, it could increase their financial performance. Therefore, the aim of this study is to analyse whether their financial performance increases as a result of the competitive advantages gained from the effect of their environmental attitude on the environmental image of passengers, sustainable asset management, and employee ecological behaviour. Using the panel data technique for the 2010–2019 period, a comparison is made of certified and non-certified passenger airlines, differentiated according to ownership, routes they operate, fares, belonging to an alliance and the airline's world region. On the whole, the evidence obtained shows that while the effect of certification on the environmental image of passengers and on sustainable asset management does not increase the financial performance of certified airlines, it does so partially with respect to employee ecological performance. It could be affirmed that the funds and efforts allocated to being more respectful towards the environment do not lead to competitive advantages that could have a greater impact on financial performance.
客运航空是世界范围内的一个重要部门。然而,由于它对地球的有害影响,它面临着批评和压力,导致航空公司采取措施保护环境。由于环境责任可以成为由于形象和内部技术和业务效率的改善而产生的竞争优势的来源,它可以增加它们的财务业绩。因此,本研究的目的是分析他们的财务绩效是否由于他们的环境态度对乘客的环境形象、可持续资产管理和员工生态行为的影响而获得的竞争优势而增加。使用面板数据技术,对2010-2019年期间的认证和非认证客运航空公司进行了比较,并根据所有权、运营的航线、票价、所属联盟和航空公司的全球地区进行了区分。总体而言,所获得的证据表明,虽然认证对乘客环境形象和可持续资产管理的影响并没有提高获得认证的航空公司的财务绩效,但它对员工生态绩效有部分影响。可以肯定的是,为更加尊重环境而拨出的资金和努力并没有导致可能对财务业绩产生更大影响的竞争优势。
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引用次数: 0
Market segmentation and willingness to pay for public transport annual passes among older adults: insights from Genoa, Italy 老年人的市场细分和支付公共交通年票的意愿:意大利热那亚的启示
IF 4.1 2区 工程技术 Q2 BUSINESS Pub Date : 2024-11-27 DOI: 10.1016/j.rtbm.2024.101243
Abraham Leung , Claudia Burlando , Tiziano Pavanini
A survey of older adults aged 65 and over (n = 247) was conducted in Genoa, often described as ‘the oldest city in the oldest country’ in Europe. This paper presents two scenarios exploring older people's willingness to pay (WTP) for annual tickets for local public transport (LPT) and examines the impact of factors such as cost, time, and comfort. These insights could help address the challenges of travel in ageing societies. A segmentation analysis based on the mean values of the two WTP scenarios (status quo and improved services) was conducted, followed by linear regression modelling to understand how older adults' socio-demographic traits, perceptions, and travel behaviour affect their WTP.
Our findings suggest that the pricing of the annual pass (€345 at the time of survey) exceeds the WTP indicated by respondents. The mean WTP for the status quo level of service (€221.36) was much lower than the WTP if service levels were improved (€304.07). Women were found to be more likely to use LPT but also tended to live alone and have lower incomes. Off-peak hours, particularly in the afternoon, were also associated with a higher WTP. This research is important in the context of Europe's ageing population, highlighting the need for more inclusive transport options for older adults. Public transport authorities (PTAs) should explore more tailored approaches to pricing and service provision. It is imperative to balance the competing goals of cost recovery, equity, and service attractiveness to encourage older people's uptake of LPT services, while maintaining accessibility and wellbeing.
热那亚常被称为欧洲 "最古老国家中最古老的城市",我们在热那亚对 65 岁及以上的老年人(n = 247)进行了一项调查。本文提出了两种方案,探讨老年人对当地公共交通(LPT)年票的支付意愿(WTP),并研究了成本、时间和舒适度等因素的影响。这些见解有助于应对老龄化社会的出行挑战。我们根据两种 WTP 方案(维持现状和改善服务)的平均值进行了细分分析,然后建立了线性回归模型,以了解老年人的社会人口特征、观念和出行行为如何影响他们的 WTP。维持服务水平的平均 WTP(221.36 欧元)远低于提高服务水平的 WTP(304.07 欧元)。女性更倾向于使用 LPT,但也倾向于独居和收入较低的人群。非高峰时段,尤其是下午,也与较高的 WTP 有关。这项研究在欧洲人口老龄化的背景下非常重要,强调了为老年人提供更具包容性的交通选择的必要性。公共交通机构(PTAs)应探索更有针对性的定价和服务提供方法。当务之急是平衡成本回收、公平性和服务吸引力等相互竞争的目标,以鼓励老年人使用 LPT 服务,同时保持可达性和福祉。
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引用次数: 0
Air-rail intermodal collaborative decision making for aircraft recovery from airport station disruption 机场站中断后飞机恢复的空铁联运协作决策
IF 4.1 2区 工程技术 Q2 BUSINESS Pub Date : 2024-11-25 DOI: 10.1016/j.rtbm.2024.101240
Fang Sun , Shenglu Wang , Ziyue Hu , Yu Zhang , Lunlong Zhong
During airport disruptions caused by capacity shortages, it is crucial for airlines to have an effective recovery plan to minimize losses and prevent the spread of disruptions and delays. This study proposes an air-rail intermodal Collaborative Decision Making (CDM) approach, which recommends incorporating High-Speed Railway (HSR) transportation into the management of aircraft recovery from airport station disruptions. The structural properties of the proposed model indicate employing a Lagrangian relaxation with subgradient methods to effectively obtain near-optimal solutions. A framework for developing Lagrangian heuristics (heuristics based on Lagrangian relaxation and sub-gradient optimization) is proposed to obtain solutions. Additionally, the study proposes a modified aircraft recovery model considering the downstream effects of flight delays and cancellations during the airport disruption recovery period and introduces slack variables to linearize the model. The computational experiments conducted in this study demonstrate the effectiveness of the proposed air-rail intermodal strategy for managing airport disruptions. Experiments conducted on large-scale datasets demonstrate that the Lagrangian Relaxation method outperforms both the Benders method and the Genetic Algorithm in terms of both computational speed and solution quality.
This research provides valuable insights into the management of airport disruptions and offers practical solutions for airlines to mitigate the impact of capacity shortages.
在机场因运力不足而中断时,航空公司必须制定有效的恢复计划,以最大限度地减少损失,并防止中断和延误的蔓延。本研究提出了一种空铁联运协同决策(CDM)方法,建议将高速铁路(HSR)运输纳入飞机从机场站中断中恢复的管理中。拟议模型的结构特性表明,采用拉格朗日松弛法和次梯度法可有效获得近似最优解。研究提出了一个开发拉格朗日启发式方法(基于拉格朗日松弛和子梯度优化的启发式方法)的框架,以获得解决方案。此外,该研究还提出了一个修改后的飞机恢复模型,考虑到了机场中断恢复期间航班延误和取消的下游影响,并引入了松弛变量使模型线性化。本研究中进行的计算实验证明了所提出的空铁联运策略在管理机场中断方面的有效性。在大规模数据集上进行的实验表明,拉格朗日松弛法在计算速度和解决方案质量方面均优于本德斯法和遗传算法。这项研究为机场中断管理提供了宝贵的见解,并为航空公司减轻运力短缺的影响提供了实用的解决方案。
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引用次数: 0
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Research in Transportation Business and Management
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