A Space-Time Model for Demand in Free-Floating Carsharing Systems

A novel model approach is proposed to estimate the spatiotemporal distribution of demand for free-floating carsharing. The proposed model is based on a Poisson regression model for right-censored data and estimates possibly time-varying demand rates of small subareas of a service region based on boo...

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Main Authors: Reto Bürgin, Corrado Muratori, Mireia Roca-Riu, Christoph Heitz
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2023/6610624
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author Reto Bürgin
Corrado Muratori
Mireia Roca-Riu
Christoph Heitz
author_facet Reto Bürgin
Corrado Muratori
Mireia Roca-Riu
Christoph Heitz
author_sort Reto Bürgin
collection DOAJ
description A novel model approach is proposed to estimate the spatiotemporal distribution of demand for free-floating carsharing. The proposed model is based on a Poisson regression model for right-censored data and estimates possibly time-varying demand rates of small subareas of a service region based on booking data with spatiotemporal information on pickups and dropoffs of cars. The approach allows operators to gain insights into the spatiotemporal distribution of demand for their service and to estimate the loss of demand due to unavailability of cars. Moreover, it can also be used as an input to improve the design of the service, through relocation techniques or to analyze the service with macrosimulation models. In addition, the approach is applied to a case study with real data.
format Article
id doaj-art-c9196fb50e3b4578b90b2bd1dea60653
institution Kabale University
issn 2042-3195
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-c9196fb50e3b4578b90b2bd1dea606532025-02-03T05:56:55ZengWileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/6610624A Space-Time Model for Demand in Free-Floating Carsharing SystemsReto Bürgin0Corrado Muratori1Mireia Roca-Riu2Christoph Heitz3ZHAW Zurich University of Applied SciencesZHAW Zurich University of Applied SciencesZHAW Zurich University of Applied SciencesZHAW Zurich University of Applied SciencesA novel model approach is proposed to estimate the spatiotemporal distribution of demand for free-floating carsharing. The proposed model is based on a Poisson regression model for right-censored data and estimates possibly time-varying demand rates of small subareas of a service region based on booking data with spatiotemporal information on pickups and dropoffs of cars. The approach allows operators to gain insights into the spatiotemporal distribution of demand for their service and to estimate the loss of demand due to unavailability of cars. Moreover, it can also be used as an input to improve the design of the service, through relocation techniques or to analyze the service with macrosimulation models. In addition, the approach is applied to a case study with real data.http://dx.doi.org/10.1155/2023/6610624
spellingShingle Reto Bürgin
Corrado Muratori
Mireia Roca-Riu
Christoph Heitz
A Space-Time Model for Demand in Free-Floating Carsharing Systems
Journal of Advanced Transportation
title A Space-Time Model for Demand in Free-Floating Carsharing Systems
title_full A Space-Time Model for Demand in Free-Floating Carsharing Systems
title_fullStr A Space-Time Model for Demand in Free-Floating Carsharing Systems
title_full_unstemmed A Space-Time Model for Demand in Free-Floating Carsharing Systems
title_short A Space-Time Model for Demand in Free-Floating Carsharing Systems
title_sort space time model for demand in free floating carsharing systems
url http://dx.doi.org/10.1155/2023/6610624
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