Mobility as a Service

Expósito‐Izquierdo, Christopher; Expósito-Márquez, Airam; Brito, Julio

doi:10.1002/9781119226444.ch15

Cited by 16 publications

(15 citation statements)

References 19 publications

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“…The MaaS is still in its infancy and after the exploratory research setting the concept and the ideas (Hietanen 2014;Sochor et al 2015) some researchers are starting to explore the potential of sustainability of MaaS and how it can be implemented and deployed in cities (Pronello et al 2016;Expósito-Izquierdo et al 2017;Goodall et al 2017;Jittrapirom et al 2017). Although the field is emerging, the research seems to grow quickly.…”

Section: The Emerging Field Of Mobility-as-a-service (Maas)mentioning

confidence: 99%

Multi-Stakeholder Collaboration in Urban Transport: State-of-the-Art and Research Opportunities

2018

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Transport systems are undergoing a change of paradigm that focuses on resource-sharing and collaboration of multiple and diverse stakeholders. This paper aims to present a state-of-the-art on the main research issues of multi-stakeholder collaboration in urban transport and address the main contributions of the Special Issue on Collaboration and Urban Transport to the field. To that end, it seems necessary to identify and address the complexity of the relations of the stakeholders in the field, beyond the traditional classification of private and public stakeholders. A functional classification of urban stakeholders related to the different land uses is proposed a refer to space users and space organizers, each with several sub-categories. Furthermore, the collaboration among those stakeholders can take different forms and can be developed at different levels: transactional, informational and decisional. Thus, the main research topics regarding multi-stakeholders’ collaboration are defined as: partnerships, resource sharing, resource pooling and Mobility-as-a-Service (MaaS) systems. A set of papers in this special issue focus on Urban Consolidation Centres (UCCs), partnerships in transport under a general perspective, multi-stakeholder cooperation and its barriers, collaborative decision-making, traffic prediction and urban congestion. In the papers, which deal with the field of multi-stakeholder collaboration in urban transport, there is a predominance on the use of surveys, but also a focus on data-driven techniques. As a result, this special issue contributes not only to the theoretical aspects, but adds value to technical and methodological issues.

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Section: The Emerging Field Of Mobility-as-a-service (Maas)mentioning

confidence: 99%

Multi-Stakeholder Collaboration in Urban Transport: State-of-the-Art and Research Opportunities

2018

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“…Thus, there has been a growing interest in the topic among researchers of mobility in recent years. Researchers have focused their attention on the evolution of car sharing (Shaheen et al, 2015), the technological aspects of the car-sharing market (Zoepf & Keith, 2016), the behaviours and motivations of carpooling service users , mobility business models for the sharing economy (Cohen & Kietzman, 2014), and the concept of mobility as a service (Expósito-Izquierdo et al, 2017), among other topics.…”

Section: " "mentioning

confidence: 99%

The Sharing Economy and the Future of Personal Mobility: New Models Based on Car Sharing

Novikova

2017

Technology Innovation Management Review

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“…Lee and Chao (2009) consider complete solutions as search units by using the neighborhood search. Expósito-Izquierdo, Melián-Batista, and Moreno-Vega (2012) propose a multistart heuristic to minimize the number of rehandles, which is more efficient compared with that of Lee and Chao (2009). Huang and Lin (2012) and Wang, Jin, and Lim (2015) solve the variants of the CPMP using heuristic algorithms.…”

Section: Introductionmentioning

confidence: 99%

Mathematical formulation and heuristic algorithm for the block relocation and loading problem

Zhu

Guo

et al. 2019

Naval Research Logistics

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This study considers the block relocation and loading problem in container terminals. The optimal loading sequence and relocation location are simultaneously decided on the basis of the desired ship‐bay and initial yard space configuration. An integer linear programming model is developed to minimize the number of relocations in the yard space on the basis of no shifts in the ship bay. The accuracy of the model is tested on small‐scale scenarios by using CPLEX. Considering the problem size in the real world, we present a rule‐based heuristic method that is combined with a mathematical model for the removal, loading, and relocation operations. The influence of rules on algorithm performance is also analyzed, and the heuristic algorithm is compared with different types of algorithms in the literature. The extensive numerical experiments show the efficiency of the proposed heuristic algorithm.

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Mobility as a Service

Cited by 16 publications

References 19 publications

Multi-Stakeholder Collaboration in Urban Transport: State-of-the-Art and Research Opportunities

Multi-Stakeholder Collaboration in Urban Transport: State-of-the-Art and Research Opportunities

The Sharing Economy and the Future of Personal Mobility: New Models Based on Car Sharing

Mathematical formulation and heuristic algorithm for the block relocation and loading problem

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