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Free-floating carsharing users’ willingness-to-pay/accept for logistics management mechanisms
The spatio-temporal flexibility of free-floating carsharing (FFCS) fleets leads to vehicle stock imbalances across the network. One set of strategies for managing fleet distribution involves incentivising users to participate in relocating the vehicles. The objective of this study is to establish FF...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hong Kong Society for Transportation Studies. Published by Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345391/ https://www.ncbi.nlm.nih.gov/pubmed/32835002 http://dx.doi.org/10.1016/j.tbs.2020.06.008 |
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author | Wu, Chenyang Vine, Scott Le Philips, Sandra Tang, William Polak, John |
author_facet | Wu, Chenyang Vine, Scott Le Philips, Sandra Tang, William Polak, John |
author_sort | Wu, Chenyang |
collection | PubMed |
description | The spatio-temporal flexibility of free-floating carsharing (FFCS) fleets leads to vehicle stock imbalances across the network. One set of strategies for managing fleet distribution involves incentivising users to participate in relocating the vehicles. The objective of this study is to establish FFCS customers’ preferences for each of four incentivisation mechanisms: 1) vehicle delivery, 2) paid relocation, and 3–4) incentivisation for alternate vehicle pick-up and drop-off locations. Survey data (n = 311; collected Sept. 2017) from FFCS users in Vancouver and Washington D.C. are employed to quantify willingness-to-pay/accept (WTP/WTA) for these mechanisms. We find that a majority of respondents report positive attitudes (“definitely” or “possibly” willing to use) toward each of the four incentivisation mechanisms, with alternate drop-off the highest (57%) and paid relocation the lowest (40%). Regression analysis finds that user experiences using FFCS are generally stronger predictors of WTP/WTA than socio-demographic features, with (intuitively) the frequency of FFCS unavailability the strongest predictor. Age is the strongest socio-demographic predictor, with the WTP for vehicle delivery increasing and the size of required incentives for alternate pick-up/drop-off locations decreasing with age. Finally, we performed k-means cluster analysis of respondents based on the times-of-week that they report experiencing difficulty finding an available FFCS vehicle, and identified four distinct segments of users. However, we found generally weak relationships between WTP/WTA and the specific time-of-week periods that unavailability is experienced. |
format | Online Article Text |
id | pubmed-7345391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hong Kong Society for Transportation Studies. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73453912020-07-09 Free-floating carsharing users’ willingness-to-pay/accept for logistics management mechanisms Wu, Chenyang Vine, Scott Le Philips, Sandra Tang, William Polak, John Travel Behav Soc Article The spatio-temporal flexibility of free-floating carsharing (FFCS) fleets leads to vehicle stock imbalances across the network. One set of strategies for managing fleet distribution involves incentivising users to participate in relocating the vehicles. The objective of this study is to establish FFCS customers’ preferences for each of four incentivisation mechanisms: 1) vehicle delivery, 2) paid relocation, and 3–4) incentivisation for alternate vehicle pick-up and drop-off locations. Survey data (n = 311; collected Sept. 2017) from FFCS users in Vancouver and Washington D.C. are employed to quantify willingness-to-pay/accept (WTP/WTA) for these mechanisms. We find that a majority of respondents report positive attitudes (“definitely” or “possibly” willing to use) toward each of the four incentivisation mechanisms, with alternate drop-off the highest (57%) and paid relocation the lowest (40%). Regression analysis finds that user experiences using FFCS are generally stronger predictors of WTP/WTA than socio-demographic features, with (intuitively) the frequency of FFCS unavailability the strongest predictor. Age is the strongest socio-demographic predictor, with the WTP for vehicle delivery increasing and the size of required incentives for alternate pick-up/drop-off locations decreasing with age. Finally, we performed k-means cluster analysis of respondents based on the times-of-week that they report experiencing difficulty finding an available FFCS vehicle, and identified four distinct segments of users. However, we found generally weak relationships between WTP/WTA and the specific time-of-week periods that unavailability is experienced. Hong Kong Society for Transportation Studies. Published by Elsevier Ltd. 2020-10 2020-07-08 /pmc/articles/PMC7345391/ /pubmed/32835002 http://dx.doi.org/10.1016/j.tbs.2020.06.008 Text en © 2020 Hong Kong Society for Transportation Studies. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Wu, Chenyang Vine, Scott Le Philips, Sandra Tang, William Polak, John Free-floating carsharing users’ willingness-to-pay/accept for logistics management mechanisms |
title | Free-floating carsharing users’ willingness-to-pay/accept for logistics management mechanisms |
title_full | Free-floating carsharing users’ willingness-to-pay/accept for logistics management mechanisms |
title_fullStr | Free-floating carsharing users’ willingness-to-pay/accept for logistics management mechanisms |
title_full_unstemmed | Free-floating carsharing users’ willingness-to-pay/accept for logistics management mechanisms |
title_short | Free-floating carsharing users’ willingness-to-pay/accept for logistics management mechanisms |
title_sort | free-floating carsharing users’ willingness-to-pay/accept for logistics management mechanisms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345391/ https://www.ncbi.nlm.nih.gov/pubmed/32835002 http://dx.doi.org/10.1016/j.tbs.2020.06.008 |
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