Market segmentation for incentivising sustainable transport policies

This paper draws attention to the need for formulating tailored, sustainable transport policies considering heterogeneity in the population regarding their preferences and attitudes. In this regard, we propose a market segmentation for incentivising sustainable transport policies. Our analysis build...

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Autores:: Soto, Jose J.
Cantillo, Víctor
Arellana, Julián

Tipo de recurso:

Fecha de publicación:: 2021

Institución:: Universidad Tecnológica de Bolívar

Repositorio:: Repositorio Institucional UTB

Idioma:: eng

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dc.title.spa.fl_str_mv	Market segmentation for incentivising sustainable transport policies
title	Market segmentation for incentivising sustainable transport policies
spellingShingle	Market segmentation for incentivising sustainable transport policies Sustainable transport Cluster analysis Structural equation model Transport policies Market segmentation
title_short	Market segmentation for incentivising sustainable transport policies
title_full	Market segmentation for incentivising sustainable transport policies
title_fullStr	Market segmentation for incentivising sustainable transport policies
title_full_unstemmed	Market segmentation for incentivising sustainable transport policies
title_sort	Market segmentation for incentivising sustainable transport policies
dc.creator.fl_str_mv	Soto, Jose J. Cantillo, Víctor Arellana, Julián
dc.contributor.author.none.fl_str_mv	Soto, Jose J. Cantillo, Víctor Arellana, Julián
dc.subject.keywords.spa.fl_str_mv	Sustainable transport Cluster analysis Structural equation model Transport policies Market segmentation
topic	Sustainable transport Cluster analysis Structural equation model Transport policies Market segmentation
description	This paper draws attention to the need for formulating tailored, sustainable transport policies considering heterogeneity in the population regarding their preferences and attitudes. In this regard, we propose a market segmentation for incentivising sustainable transport policies. Our analysis builds from the responses of 1,041 car owners towards environmentally friendly trans- port alternatives in a survey issued in the five largest Colombian metropolitan areas: Bogot ́a, Medellín, Cali, Barranquilla, and Bucaramanga. Using the collected data, we estimated a Multiple Indicators Multiple Causes (MIMIC) model to evaluate individual attitudes towards the envi- ronment, green transport policies, car use, and technology. A cluster analysis based on the MIMIC results identified three groups: Traditionalists, Green Conscious and All Matters. Results make the contradiction between car attachment and environmental concern evident. The lower the envi- ronmental concern, the higher the attachment to the car. However, the differences between Traditionalists and All Matters are less pronounced. Finally, we proposed sustainable strategies considering the heterogeneities of each group, analysed the implications of developing custom- made actions and marketing strategies for promoting sustainable transport policies, considering the interests and characteristics of each targeted group in the population
publishDate	2021
dc.date.issued.none.fl_str_mv	2021-08-19
dc.date.accessioned.none.fl_str_mv	2022-03-18T18:45:43Z
dc.date.available.none.fl_str_mv	2022-03-18T18:45:43Z
dc.date.submitted.none.fl_str_mv	2022-03-18
dc.type.driver.spa.fl_str_mv	info:eu-repo/semantics/article
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dc.identifier.citation.spa.fl_str_mv	Soto, Jose & Cantillo, Victor & Arellana, Julián. (2021). Market segmentation for incentivising sustainable transport policies. Transportation Research Part D: Transport and Environment. 99. 103013. 10.1016/j.trd.2021.103013.
dc.identifier.uri.none.fl_str_mv	https://hdl.handle.net/20.500.12585/10631
dc.identifier.doi.none.fl_str_mv	https://doi.org/10.1016/j.trd.2021.103013
dc.identifier.instname.spa.fl_str_mv	Universidad Tecnológica de Bolívar
dc.identifier.reponame.spa.fl_str_mv	Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv	Soto, Jose & Cantillo, Victor & Arellana, Julián. (2021). Market segmentation for incentivising sustainable transport policies. Transportation Research Part D: Transport and Environment. 99. 103013. 10.1016/j.trd.2021.103013. Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar
url	https://hdl.handle.net/20.500.12585/10631 https://doi.org/10.1016/j.trd.2021.103013
dc.language.iso.spa.fl_str_mv	eng
language	eng
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dc.rights.cc.*.fl_str_mv	Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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dc.format.extent.none.fl_str_mv	15 Páginas
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dc.publisher.place.spa.fl_str_mv	Cartagena de Indias
dc.source.spa.fl_str_mv	Transportation Research Part D 99 (2021) 103013
institution	Universidad Tecnológica de Bolívar
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spelling	Soto, Jose J.a280a6f6-b1e3-4203-9fc6-4dfd3610e120Cantillo, Víctor4f4943e6-9695-4974-a3bc-f0e0529414cbArellana, Juliána96e078f-6fec-45cd-8e0c-b656cbf711f22022-03-18T18:45:43Z2022-03-18T18:45:43Z2021-08-192022-03-18Soto, Jose & Cantillo, Victor & Arellana, Julián. (2021). Market segmentation for incentivising sustainable transport policies. Transportation Research Part D: Transport and Environment. 99. 103013. 10.1016/j.trd.2021.103013.https://hdl.handle.net/20.500.12585/10631https://doi.org/10.1016/j.trd.2021.103013Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis paper draws attention to the need for formulating tailored, sustainable transport policies considering heterogeneity in the population regarding their preferences and attitudes. In this regard, we propose a market segmentation for incentivising sustainable transport policies. Our analysis builds from the responses of 1,041 car owners towards environmentally friendly trans- port alternatives in a survey issued in the five largest Colombian metropolitan areas: Bogot ́a, Medellín, Cali, Barranquilla, and Bucaramanga. Using the collected data, we estimated a Multiple Indicators Multiple Causes (MIMIC) model to evaluate individual attitudes towards the envi- ronment, green transport policies, car use, and technology. A cluster analysis based on the MIMIC results identified three groups: Traditionalists, Green Conscious and All Matters. Results make the contradiction between car attachment and environmental concern evident. The lower the envi- ronmental concern, the higher the attachment to the car. However, the differences between Traditionalists and All Matters are less pronounced. Finally, we proposed sustainable strategies considering the heterogeneities of each group, analysed the implications of developing custom- made actions and marketing strategies for promoting sustainable transport policies, considering the interests and characteristics of each targeted group in the population15 Páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Transportation Research Part D 99 (2021) 103013Market segmentation for incentivising sustainable transport policiesinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/resource_type/c_2df8fbb1Sustainable transportCluster analysisStructural equation modelTransport policiesMarket segmentationCartagena de IndiasInvestigadoresJ. Amaya, J. Arellana, M. 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Gao Market Segmentation Analysis of Commuter Parking Relative to Shared Private Residential Parking Spots Transportation Research Record, 2672 (2018), pp. 942-952http://purl.org/coar/resource_type/c_6501ORIGINAL1-s2.0-S1361920921003114-main.pdf1-s2.0-S1361920921003114-main.pdfapplication/pdf1875400https://repositorio.utb.edu.co/bitstream/20.500.12585/10631/1/1-s2.0-S1361920921003114-main.pdf68c4b974df9a373fd434e7efdbd832ccMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://repositorio.utb.edu.co/bitstream/20.500.12585/10631/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83182https://repositorio.utb.edu.co/bitstream/20.500.12585/10631/3/license.txte20ad307a1c5f3f25af9304a7a7c86b6MD53TEXT1-s2.0-S1361920921003114-main.pdf.txt1-s2.0-S1361920921003114-main.pdf.txtExtracted 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