Research in Transportation Business and Management最新文献_第2页

Commercial gentrification of metro catchment: Lenses of subjective perception and objective nighttime light

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-02-08 DOI: 10.1016/j.rtbm.2025.101310

Yuanyuan Guo , Lei Wang , Fengliang Tang , He Xuan , Bin Chi

Metro is an essential public transportation mode, especially prevalent in major cities. Proximity to metro stations revitalizes surrounding areas, leading to enhancement of commercial activities in metro catchment areas. However, studies on commercial gentrification induced by newly built metros are severely insufficient with both subjective and objective lenses. This study delves into the commercial gentrification catalyzed by the operation of Metro Line 7 in Shenzhen, utilizing a novel approach that integrates subjective street view imagery perception scores with objective nighttime light data. By examining areas within 15-min walking catchments of metro stations, the study identifies a marked upsurge in commercial activities following the metro's operation in October 2016. Objective data indicates a rise in nighttime light intensity from an average of 37.28 units during construction to 49.23 units post-operation. Simultaneously, subjective perception scores provide insights into perceived changes in urban commercial gentrification. A steady rise of integrated trend is noticed after 2016, showing a vital impact of newly built metro line on commercial gentrification. The study employs a combination of advanced machine learning techniques and urban analysis to offer a comprehensive perspective of the commercial gentrification trend shifts driven by metro expansion. It highlights the spatial and commercial gentrification levels across different land uses within the metro catchment areas, providing valuable insights of for urban planners and policymakers.

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引用次数: 0

Country of origin effect on car ownership choice decision of Indonesian consumer

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-02-05 DOI: 10.1016/j.rtbm.2025.101307

Alexander Raditya , I Gusti Ayu Andani , Prawira Fajarindra Belgiawan , Imam Sefriyadi , Nila Armelia Windasari , Indira Ayu Adzhani

The continuous economics improvement of various developing countries has led to a significant increase in the global demand for cars. The rapid technological development in automotive industries create strong expansions of several manufacturers, such as Chinese automakers, to expand their business. Nevertheless, Chinese automakers face challenges in establishing a strong presence attributed to the “Made in China” stigma among consumers compared to other car manufacturers such as Japan automakers. This study aimed to analyze the factors influencing Indonesian car consumers' purchase decisions through a stated choice experiment. With D-efficient design we developed the scenario based on nine alternatives and seven attributes. A total of 590 respondents in Jakarta, Bandung, and Surabaya completed a questionnaire, consisting of two parts: scenario selection, and socio-demographic information. For scenario selection, respondents chose 1 out of 9 available alternatives, excluding opt-out, each in eight different scenarios. In the socio-demographic information, respondents were asked to fill in their profile, including age, gender, origin, educational level, type of job, and monthly income. We used the mixed multinomial logit model as the analysis tool for statistical measurement. The findings show that Indonesian car consumer exhibit a lower preference for Chinese cars compared to Japanese cars. Socio-economic variables, such as age and occupation, also influence car-buying decisions. Moreover, Indonesian consumers place varying significance to attributes when evaluating alternatives, with engine capacity, fuel efficiency, safety system, and exterior-interior design, and price being significant factors shaping preferences. While price is crucial, the overall value proposition of the car guides consumer decisions. Chinese car manufacturers should enhance these attributes to appeal to Indonesian market and expand their market share.

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引用次数: 0

Optimizing demand-responsive IoT-based waste collection services: a two-step clustering technique

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-01-31 DOI: 10.1016/j.rtbm.2025.101302

Sofia Giasoumi , Gonçalo Homem de Almeida Correia , Michiel de Bok , Lóránt Tavasszy , Jos Streng , Daan van den Elzen

The Internet of Things (IoT) can bring radical advancements in the domain of waste collection, as it enables the organization of demand-responsive schedules which leads to higher efficiency operations. One major challenge in the deployment of demand-responsive schedules, nevertheless, is the uncertainty they bring in the planning of resources as they follow the daily waste demand. This is undesirable in real-life operations as it makes it difficult to reserve resources and ensure the stability of operational processes. Therefore, waste collection scheduling approaches need to be devised that are not only demand-responsive but also supply-friendly. In this paper, we present a solution approach for the waste collection vehicle routing problem in an IoT context (IoT-WCVRP) that focuses on these requirements. We demonstrate its applicability through a case study of Rotterdam in The Netherlands, where real-life household waste data are used and the observed waste collection operations in the city are compared against the optimized outcomes of the model. The application results show that our IoT-WCVRP approach achieves the stated demand and supply trade-off, increases the vehicle utilization rates by 5%, and reduces emissions and travelled kilometres by 6% and 8% respectively.

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引用次数: 0

The impacts of alternative last mile delivery networks: Exploring the options besides zero emission technology

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-01-30 DOI: 10.1016/j.rtbm.2025.101303

Bram Kin , Hans Quak

Decarbonisation of urban logistics is a pressing issue. About one third of the freight-related CO₂ emissions in the Netherlands relates to urban logistics, consisting of both vans and trucks. Although electrification is a feasible solution, delivery models that not only focus on reducing the carbon footprint, but also the spatial footprint are important. A one-to-one replacement of diesel vehicles with electric vehicles does not reduce urban logistics' spatial footprint in densifying cities nor the delivery vans' perceived nuisance. This paper examines the impact of alternative delivery models in the parcel- and home delivery segment in four future scenarios on CO₂ emissions, vehicle kilometres and number and type of vehicles used (2030). Analyses are based on data from three companies in a large metropolitan region in the Netherlands. The results show the impact of vehicles fleets electrification, transhipment in consolidation points and a network of pickup points. This study illustrates that developing alternative last mile networks can result in a decrease in vehicle (van) movements, and with that a serious decrease in emissions. The implications of the results on the carbon footprint, urban space usage and costs for companies are discussed.

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引用次数: 0

Line planning and differential pricing for high-speed parallel trains

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-01-29 DOI: 10.1016/j.rtbm.2025.101296

Yun Yang , Xiaoqiang Zhang , Xinhao Xu , Dongsheng Gao

The rapid development of China's high-speed railway (HSR) has fundamentally altered intercity passenger travel patterns. Escalating construction and operational expenses have resulted in persistent financial losses for HSR operating companies. This paper introduces a nonlinear optimization approach for HSR operations, focusing on line planning problem (LPP) and differential pricing problem (DPP). It takes into account the boundedly rational choice behavior of stochastic users. Taking into account the differences in passenger choice behavior, latent class analysis (LCA) is used to classify passengers. Three influencing factors, namely departure time, travel time and fare, were selected to establish a utility model of parallel trains with three reference points, and the perceived cost of parallel trains by heterogeneous passengers was characterized through the prospect value. A bi-level planning model has been developed to optimize both lines and fares. The primary objective is to maximize the profits of the HSR operating companies while reducing the perceived costs to passengers. Operational lines and frequencies are generated using possible line sets (PLSs) as a foundation. To identify the most effective lines and fare strategies, a dual approach is employed, combining particle swarm optimization (PSO) with sensitivity analysis (SA). In order to validate the practicality and efficacy of the model and algorithm, a numerical case study based on the Nanning-Guangzhou (NG) HSR is presented.

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引用次数: 0

An in-depth study of factors influencing retention and career paths of Turkish seafarers in the profession

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-01-29 DOI: 10.1016/j.rtbm.2025.101299

Şengül Şanlıer Uçak, Burcu Çelik Maşalacı

This research comprehensively explored the elements affecting the career retention of trained Turkish seafarers as oceangoing watch-keeping officers, using a survey-based approach to include perspectives from both individuals actively employed on vessels and those who transferred to shore-based positions. This study aims to reveal the motivation and demotivation factors for seafarers by using a thematic analysis method that follows a six-step process by Braun and Clarke. Data collection was conducted through a semi-structured questionnaire, which was distributed to graduates via SMS, email, and social media platforms. This analysis reveals the following: Seafarers are primarily motivated by various themes including financial income, passion for the sea/professional, respect/professional reputation, opportunity to see the world/knowing different cultures and social rights. Family, professional, psycho-social, and financial reasons were identified as demotivation themes leading to leaving the sea. It has been observed that seafarers, whose average age is only 28.5, criticise their profession using serious expressions and intend to leave the maritime industry within 1 to 5 years. Considering the criticisms of seafarers, comprehensive policy arrangements have been proposed to improve the sources of motivation and reduce demotivation themes in order to ensure professional continuity in the industry. The findings underline the need for authorities and policymakers in the maritime industry to take new steps to increase seafarers' job satisfaction and the sustainability of their careers at sea.

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引用次数: 0

Railway pricing for automobile transport based on discrete choice model and cost accounting

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-01-28 DOI: 10.1016/j.rtbm.2025.101295

Jiaqi Shen , Hao Liu , Rong Zhang

Stimulating the modal shift from road to railway of automobile transport facilitates the construction of a low-carbon freight system. This paper investigates the pricing problem of railway operators for automobile transport from the Yangtze River Delta region to the seven regions of China, taking into account the choice behaviour of shippers, the profit objectives of railway operators, and the modal shift targets of the government. Moreover, the monopoly railway operator's cost of automobile transport is calculated. The results show that the profits of railway operators are affected by their costs and road competition. The mixed logit model considering the interaction effect has a better model fit. With the increased distance, the value of time in automobile transport decreases. When railway operators of automobile transport seek to maximise profits, the optimal pricing from the Yangtze River Delta to the seven regions is different in China. To achieve the government's targets of modal shift and unchanged railway operator profit, the government can reduce rail access charges, and the required reduction varies from region to region. This study aims to help railway operators of automobile transport with pricing and to provide analytical tools for government policy making.

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引用次数: 0

Cooperation and coordination strategy of the online container supply chain considering service quality competition

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-01-27 DOI: 10.1016/j.rtbm.2025.101297

Heying Sun , Lizhi Geng , Yuan Gao , Chenrui Qu

As online shipping slot sales has become a trend in the shipping industry, liner companies usually choose horizontal cooperation while cooperating vertically with third-party shipping e-commerce platforms. However, whether the horizontal cooperation is always beneficial for liner companies and the shipping e-commerce platform is questionable considering both pros and cons of horizontal cooperation, especially in the case of fierce service quality competition. This paper studies both the vertical coordinated contract in the online container supply chain and participants' choices toward liner companies' horizontal cooperation strategy considering service quality competition. Game models are constructed to investigate the freight rate, transaction price, and participants' service quality under both centralized and decentralized structures. Results show that the proposed revenue sharing and cost allocation contracts could coordinate the vertical cooperation of participants in the online container supply chain under the decentralized structure. Besides, liner companies' horizontal cooperation strategy is always beneficial for liner companies and is not always bad for the shipping e-commerce platform. It is win-win for them when the coefficient of liner company's marginal service quality cost exceeds a certain value.

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引用次数: 0

A rule-enhanced clustering approach to planning virtual stations for dockless shared micro-mobility systems

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-01-25 DOI: 10.1016/j.rtbm.2025.101300

Jingxu Chen , Junyi Chen , Mingzhuang Hua , Xinlian Yu , Xize Liu

Shared micro-mobility (SMM), as a typical service of green mobility, has been widespread in recent years, especially the dockless SMM system. However, the booming development of dockless SMM faces challenges in operations management hindered by disorderly parking. The common management practices for addressing such disadvantages start with partitioning spatial objects, one of which is strategically planning virtual stations. Based on extensive journey data and geospatial information, multi-source data are first integrated and utilized as the data basis. A rule-enhanced clustering approach is proposed for the large-scale virtual station planning of dockless SMM at the city level. The geographical distribution of virtual stations is refined by integrating clustering algorithms and geospatial rules which encompass geospatial object conflicts, enclosed land-use conflicts, traffic conflicts, and adjacent demands fusion. Then, the dockless SMM system in Shenzhen, China is taken as the case study. The results show that (1) the dockless SMM system in Shenzhen is imbalanced both spatially and temporally, requiring further refinement; (2) the optimal number of clusters (namely virtual stations) for K-means, DBSCAN, and OPTICS clustering is 8500, 9194, and 8257 respectively, among which K-means exhibits the best performance over metrics; (3) 5825 virtual stations are eventually located in Shenzhen by rules adoption, of which the alignment between virtual stations and geospatial circumstances is illustrated as well. The findings of this study indicate that the proposed approach can enhance the practicality of virtual station detection results when applied in real-world scenarios.

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引用次数: 0

Big data for decision-making in public transport management: A comparison of different data sources

IF 4.1 2区工程技术 Q2 BUSINESS

Research in Transportation Business and Management

Pub Date : 2025-01-24 DOI: 10.1016/j.rtbm.2025.101298

Valeria Maria Urbano, Marika Arena, Giovanni Azzone

The conventional data used to support public transport management have inherent constraints related to scalability, cost, and the potential to capture space and time variability. These limitations underscore the importance of exploring innovative data sources to complement more traditional ones.

For public transport operators, who are tasked with making pivotal decisions spanning planning, operation, and performance measurement, innovative data sources are a frontier that is still largely unexplored. To fill this gap, this study first establishes a framework for evaluating innovative data sources, highlighting the specific characteristics that data should have to support decision-making in the context of transportation management. Second, a comparative analysis is conducted, using empirical data collected from primary public transport operators in the Lombardy region, with the aim of understanding whether and to what extent different data sources meet the above requirements.

The findings of this study support transport operators in selecting data sources aligned with different decision-making domains, highlighting related benefits and challenges. This underscores the importance of integrating different data sources to exploit their complementarities.

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引用次数: 0