An optimization model and genetic-based matheuristic for parking slot rent optimization to carsharing
| Autor: | Antonella Nardin, Fabio D'Andreagiovanni, Leonardo Zamberlan, Stefano Carrese, Tommaso Giacchetti |
|---|---|
| Přispěvatelé: | Università degli Studi Roma Tre, Centre National de la Recherche Scientifique (CNRS), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2021 |
| Předmět: |
Optimization
Matheuristic 050210 logistics & transportation Optimization problem Binary linear programming Operations research Shared mobility Computer science Parking Slot Renting 05 social sciences Economics Econometrics and Finance (miscellaneous) 0211 other engineering and technologies Carsharing 021107 urban & regional planning Transportation [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] 02 engineering and technology Limiting [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] Local government 0502 economics and business 11. Sustainability Shared Mobility [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] |
| Zdroj: | Research in Transportation Economics Research in Transportation Economics, Elsevier, 2020, 85, pp.100962. ⟨10.1016/j.retrec.2020.100962⟩ |
| ISSN: | 0739-8859 |
| DOI: | 10.1016/j.retrec.2020.100962 |
| Popis: | International audience; Carsharing represents a major example of smart mobility service that allows a customer to rent a vehicle for a limited amount of time paying a per-minute fee. It may relieve people of the costly and non-sustainable burden of owning a car, especially when residing in a city. Though the spread of carsharing may bring significative benefits to (smart) cities, its penetration can be obstructed by nonup-to-date regulations, which can be still tied to a non-smart vision of mobility. In this study, we provide an overview of remarkable city regulations for carsharing, particularly highlighting the importance that parking policies can have in favouring the diffusion and use of carsharing services. Given such importance, we characterize the optimization problem of a local government that wants to analytically choose the best subset of parking slots to rent to carsharing companies, in order to improve urban mobility. To model and solve the problem we propose a new Binary Linear Programming problem and genetic-based matheuristic. Finally, we present results from computational tests referring to realistic data of the Italian city of Rome, This paper is an extended, improved version of the paper "An optimization model for renting public parking slots to carsharing services" published in Transportation Research Procedia vol. 45, pp. 499-506 (2020), as part of the Proceedings of the AIIT 2nd International Congress on Transport Infrastructure and Systems in a changing world (TIS ROMA 2019-see Carrese et al. 2020). |
| Databáze: | OpenAIRE |
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