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Transportation Research Procedia
Article . 2022 . Peer-reviewed
License: CC BY NC ND
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Recolector de Ciencia Abierta, RECOLECTA
Article . 2022 . Peer-reviewed
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Recolector de Ciencia Abierta, RECOLECTA
Article . 2022 . Peer-reviewed
License: CC BY NC ND
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Demand model estimation from smartphone data. An application to assert new urbanistic development scenarios

Authors: Montero Mercadé, Lídia; Ortigosa Marín, Javier; Alarcón, Xavier; Linares, Maria Paz; Cuatrecasas Capdevila, Marta; Cluet, Jordi;

Demand model estimation from smartphone data. An application to assert new urbanistic development scenarios

Abstract

© 2022 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ The pervasive use of mobile devices has brought a valuable new source of data. The work presented here has a twofold objective: firstly, to demonstrate the capability of mobile phone records to feed traditional trip-based demand models and, secondly, to assert the possibilities of using developed models to estimate the effects of new urbanistic development scenarios. Detailed trip data for the metropolitan area of Barcelona are reconstructed from mobile phone records. This information is then employed as input for building a set of demand trip-based models and to apply these daily-based models to the appraisal of new development scenarios in a VISUM model of the city. The model calibration and validation process proves the quality of the models obtained. Our results show the way in which the generated trips are distributed into the study area and modal share is modified in the considered scenarios. This research was funded by TRA2016-76914-C3-1-P Spanish R+D Programs, Secretaria d’Universitats-i-RecercaGeneralitat de Catalunya- 2017-SGR- 1749. The authors are grateful for the support given by the Autoritat del Transport Metropolità (ATM) providing us with their model (Ll. Alegre, F. Calvet, and X. Sanyer). We are also grateful to Dra. L. Pagés (CARNET-UPC), J. Llinàs and A. Ortiz (Barcelona Regional) for their support. Peer Reviewed Objectius de Desenvolupament Sostenible::11 - Ciutats i Comunitats Sostenibles Objectius de Desenvolupament Sostenible::10 - Reducció de les Desigualtats

Country
Spain
Keywords

Anàlisi numèrica, Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica, Estadística matemàtica--Aplicacions, :62 Statistics::62P Applications [Classificació AMS], simulation and stochastic differential equations, Numerical analysis--Simulation methods, Classificació AMS::62 Statistics::62P Applications, Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations, :Matemàtiques i estadística::Anàlisi numèrica [Àrees temàtiques de la UPC], Mathematical statistics, Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, Trip-based demand models, :Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC], Classificació AMS::65 Numerical analysis::65C Probabilistic methods, :65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations [Classificació AMS], Mobile phone records

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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