García Herrera, Alisson Maurinne
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García Herrera
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Alisson Maurinne
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Estadística, Informática y Matemáticas
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Publication Open Access Exploring crowdshippers' behavior and preferences: intertwining urban distribution and people mobility(Elsevier, 2025-05-14) García Herrera, Alisson Maurinne; Serrano Hernández, Adrián; Faulín Fajardo, Javier; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISC; Gobierno de Navarra / Nafarroako GobernuaCollaborative economy companies in the transport field have been a disruptive force in the urban mobility landscape around the world during the last decade 2010-2020. Crowdshipping has emerged as a collaborative economy option promoting improved utilization of currently underutilized transportation capacity, thereby reducing transportation costs and emissions. This article aims to analyze and synthesize existing research on the impact of the crowdshipper (individuals responsible for collecting and delivering the product) behavior on the system and the factors that drive his or her willingness to participate, to identify best practices and opportunities to enhance business analytics, decision-making, and model efficiency in this emerging area.Publication Embargo Microeconomic analysis of ridesourcing market regulation policies(Elsevier, 2024-08-01) García Herrera, Alisson Maurinne; Basso, Leonardo J.; Tirachini, Alejandro; Estadística, Informática y Matemáticas; Estatistika, Informatika eta MatematikaWe develop a microeconomic model of competition between ridesourcing, public transport, and cruising taxis to analyse how alternative ridesourcing regulation policies affect not only the ridesourcing service but also other modes of transport. To maximise social welfare in a framework with congestion externalities, we analyse three alternative regulation policies (i) a charge as a percentage of the ridesourcing trip fare (ii) a fixed charge per ridesourcing trip, and (iii) a fixed charge per ridesourcing vehicle. A randomised search algorithm is programmed and simulations are performed considering the base case of the Metropolitan Region of Santiago de Chile. We find that for the case of speeds below 9 km/h, the market power of the platform is dominated by the congestion externality effect, which leads to an optimum where the regulator charges a tax to the platform. In turn, waiting time for ridesourcing increases, but congestion decreases. Lower congestion scenarios lead to a ridesourcing subsidy, in which the regulation policy increases the number of ridesourcing drivers and reduces waiting time, at the cost of increasing congestion. For a given scenario (either low-congestion or high-congestion), we find that the profits of the agents involved (ridesourcing platform and drivers, taxi drivers, and bus operator) are sensitive to the type of regulation applied, however the total social benefit and consumer surplus are largely insensitive to the regulation adopted, therefore policymakers could take into account, for instance, the effects on the financial situation of the public transport sector when deciding which type of regulation instrument to apply to the ridesourcing sector.Publication Open Access Understanding the dynamics of crowdshipping in last-mile distribution within urban mobility: a comprehensive framework(Elsevier, 2025-10-01) García Herrera, Alisson Maurinne; Serrano Hernández, Adrián; Faulín Fajardo, Javier; Institute of Smart Cities - ISC; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa; Gobierno de Navarra / Nafarroako GobernuaCrowdshipping, a collaborative economy model that takes advantage of the crowd for the delivery of goods, promises to address the problems of urban logistics. This article integrates the literature to identify relevant factors that influence the success of crowdshipping, while addressing sustainability objectives. We use the PRISMA method, a widely recognized framework for systematic reviews that, by meeting high-quality standards, guarantees the reliability of the evidence. We systematically reviewed the literature to address three research questions: identifying factors that influence crowdshipping success, evaluating its contribution to sustainability goals, and evaluating the role of Operation Research (OR) in improving crowdshipping efficiency. Specifically, OR techniques offer significant potential for optimizing routing, matching supply and demand, and enhancing decision-making processes. Through this comprehensive and in-depth analysis, we provide information for future research, modeling, practical implementation, and potential policy recommendations.