Enhancing Carsharing Experiences for Barcelona Citizens with Data Analytics and Intelligent Algorithms
Herrera, Erika M. (Universitat Oberta de Catalunya. Departament d'Informàtica)
Calvet Liñan, Laura (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
Ghorbani, Elnaz (Universitat Oberta de Catalunya. Departament d'Informàtica)
Panadero, Javier (Universitat Politècnica de Catalunya. Departament de Gestió)
Juan, Ángel A (Euncet Business School. Departament de Gestió)

Data:	2023
Resum:	Carsharing practices are spreading across many cities in the world. This paper analyzes real-life data obtained from a private carsharing company operating in the city of Barcelona, Spain. After describing the main trends in the data, machine learning and time-series analysis methods are employed to better understand citizens' needs and behavior, as well as to make predictions about the evolution of their demand for this service. In addition, an original proposal is made regarding the location of the pick-up points. This proposal is based on a capacitated dispersion algorithm, and aims at balancing two relevant factors, including scattering of pick-up points (so that most users can benefit from the service) and efficiency (so that areas with higher demand are well covered). Our aim is to gain a deeper understanding of citizens' needs and behavior in relation to carsharing services. The analysis includes three main components: descriptive, predictive, and prescriptive, resulting in customer segmentation and forecast of service demand, as well as original concepts for optimizing parking station location.
Ajuts:	Agencia Estatal de Investigación PID2019-111100RB-C21 "la Caixa" Foundation 21S09355-001
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Carsharing ; Data analytics ; Machine learning ; Intelligent algorithms ; Smart cities
Publicat a:	Computers, Vol. 12, Issue 2 (February 2023) , art. 33, ISSN 2073-431X

DOI: 10.3390/computers12020033

17 p, 4.1 MB

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