Journal: Transportation Research Part E: Logistics and Transportation Review

Abbreviation

Transp. Res., Part E Logist. Trans. Rev.

Publisher

Elsevier

Journal Volumes

ISSN

1366-5545

Description

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2012 - 201972020 - 202510
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Publications 1 - 10 of 17
  • Cooperation among truck carriers in seaport containerized transportation
    Item type: Journal Article
    Caballini, Claudia; Sacone, Simona; Saeednia, Mahnam (2016)
    Transportation Research Part E: Logistics and Transportation Review
  • Optimal allocation of protective resources in urban rail transit networks against intentional attacks
    Item type: Journal Article
    Jin, Jian Gang; Lu, Linjun; Sun, Lijun; et al. (2015)
    Transportation Research Part E: Logistics and Transportation Review
  • The multi-commodity network flow problem with soft transit time constraints
    Item type: Journal Article
    Trivella, Alessio; Corman, Francesco; Koza, David F.; et al. (2021)
    Transportation Research Part E: Logistics and Transportation Review
    The multi-commodity network flow problem (MCNF) consists in routing a set of commodities through a capacitated network at minimum cost and is relevant for routing containers in liner shipping networks. As commodity transit times are often a critical factor, the literature has introduced hard limits on commodity transit times. In practical contexts, however, these hard limits may fail to provide sufficient flexibility since routes with even tiny delays would be discarded. Motivated by a major liner shipping operator, we study an MCNF generalization where transit time restrictions are modeled as soft constraints, in which delays are discouraged using penalty functions of transit time. Similarly, early commodity arrivals can receive a discount in cost. We derive properties that distinguish this model from other MCNF variants and adapt a column generation procedure to efficiently solve it. Extensive numerical experiments conducted on realistic liner shipping instances reveal that the explicit consideration of penalty functions can lead to significant cost reductions compared to hard transit time deadlines. Moreover, the penalties can be used to steer the flow towards slower or faster configurations, resulting in a potential increase in operational costs, which generates a trade-off that we quantify under varying penalty functions.
  • Exploring the physical–digital interface in blockchain applications: Insights from the luxury watch industry
    Item type: Journal Article
    Klöckner, Maximilian; Schmidt, Christoph G.; Fink, Alexander A.; et al. (2023)
    Transportation Research Part E: Logistics and Transportation Review
    Counterfeit products are an increasing issue across the luxury sector. Blockchain applications exhibit the potential to mitigate counterfeit risks and facilitate the growing secondary markets by enabling product authentication and digital proof of ownership. In this study, we adopt a qualitative multiple-case study design and conduct interviews with informants from four blockchain projects in the Swiss luxury watch industry. We identify the industry-specific drivers and barriers to blockchain adoption and specifically explore the challenges at the physical–digital interface. Beyond an in-depth description of the problems, our findings suggest two main data management hurdles related to the validity of input data and data synchronicity. The main challenge, however, is to establish an unequivocal link between the physical watch to its digital record on the blockchain. We present several invasive and non-invasive linking approaches and discuss their potential advantages and disadvantages. Further, we outline different areas for future research. Overall, our study addresses a timely issue of blockchain applications, contributing to the operations and supply chain management literature and supporting blockchain use case design in practice.
  • Passenger social rerouting strategies in capacitated public transport systems
    Item type: Journal Article
    Luan, Xiaojie; Eikenbroek, Oskar A.L.; Corman, Francesco; et al. (2024)
    Transportation Research Part E: Logistics and Transportation Review
    Services of many public transportation systems are regulated by static timetables. Tactical decisions to improve operations are usually limited to supply-side measures that fail to quickly react to short-term changes in passenger demand and disturbances. Where the realized level of service (LoS) might be substantially different from what was expected, demand management measures, such as advising travelers to use specific routes in the interest of congestion and travel time of the entire population (social rerouting), can be implemented alongside supply-side measures to improve the LoS over different timescales. In this study, we introduce multi-modal social rerouting strategies, considering trains, buses, and trams running with predefined timetables, to improve the LoS of capacitated public transport networks by asking a portion of the passenger demand to change departure time, line, or service. In fact, we aim to balance network load by rerouting passengers using a centrally-coordinated information strategy. The strategy anticipates feedback effects due to failed boardings and discomfort because of overcrowding by incorporating behavioral responses to advice over different timescales. We explore theoretical and practical challenges by evaluating the effectiveness and performance of strategies using real-world data from the Zürich and Twente public transport networks. Numerical experiments reveal that (1) system efficiency can already be improved with the compliance of a small portion of passengers to the social rerouting advice; (2) with 20%–50% steerable passengers, the improvement gradient of system efficiency is at a maximum; (3) targeting a certain level of system efficiency, a smaller detour tolerance requires the compliance of more travelers, and a larger detour tolerance allows fewer travelers to comply with the detour.
  • Developing advanced route choice models for heavy goods vehicles using GPS data
    Item type: Journal Article
    Hess, Stephane; Quddus, Mohammed; Rieser-Schüssler, Nadine; et al. (2015)
    Transportation Research Part E: Logistics and Transportation Review
  • Optimal inter-area coordination of train rescheduling decisions
    Item type: Journal Article
    Corman, Francesco; D'Ariano, Andrea; Pacciarelli, Dario; et al. (2012)
    Transportation Research Part E: Logistics and Transportation Review
  • Valuing travel time savings
    Item type: Journal Article
    Beck, Matthew J.; Hess, Stephane; Ojeda Cabral, Manuel; et al. (2017)
    Transportation Research Part E: Logistics and Transportation Review
  • Does green technology innovation contribute to logistics companies’ market value? The effects of stakeholder engagement and public attention
    Item type: Journal Article
    Shou, Yongyi; Wu, Chang; Shao, Jinan; et al. (2023)
    Transportation Research Part E: Logistics and Transportation Review
    Although logistics companies are encouraged to carry out green technology innovation (GTI) to mitigate their carbon footprint and negative environmental impact, the performance effect of GTI still needs more conclusive evidence. Building on the resource-based view and stakeholder theory, we investigate the impact of logistics companies’ GTI on their market value and further explore the moderating effects of stakeholder engagement and public attention. We use panel data from 53 publicly listed Chinese logistics companies between 2011 and 2021 to test our hypothesized model. We find an inverted U-shaped relationship between GTI and market value. Interestingly, supply chain partner engagement steepens the inverted U-shaped GTI–market value linkage, whereas scientific institution engagement flattens this curvilinear linkage. In addition, public attention weakens this inverted U-shaped GTI–market value relationship. Our study extends the logistics literature by untangling the curvilinear GTI–market value relationship and the distinct moderating effects of stakeholder engagement and public attention on this relationship. It also provides managerial advice for managers in the Chinese logistics industry.
  • Modeling train operation as sequences
    Item type: Journal Article
    Huang, Ping; Wen, Chao; Fu, Liping; et al. (2020)
    Transportation Research Part E: Logistics and Transportation Review
    This paper presents a carefully designed train delay prediction model, called FCLL-Net, which combines a fully-connected neural network (FCNN) and two long short-term memory (LSTM) components, to capture operational interactions. The performance of FCLL-Net is tested using data from two high speed railway lines in China. The results show that FCLL-Net has significantly improved prediction performance, over 9.4% on both lines, in terms of the selected absolute and relative metrics compared to the commonly used state-of-the-art models. Additionally, the sensitivity analysis demonstrates that interactions of train operations and weather-related features are of great significance to consider in delay prediction models.
Publications 1 - 10 of 17