Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.779184
Title: A mode choice study on shared mobility services : policy opportunities for a developing country
Author: Li, Weibo
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2019
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Abstract:
This research aims to investigate the mode choice behaviour associated with bike-sharing and car-sharing, and the strategies for encouraging their demand in order to pull people away from using private cars. In particular, we reveal the factors that could affect the choices of both services and explore their associated modal substitution patterns. Key interests are put on air pollution's impact on bike-sharing choice and the sources of demand for car-sharing (i.e. from private car users or public transport users). Moreover, we look at in what ways attitudinal factors could influence shared mobility choices and hence identify any implications. Furthermore, we are also interested in any measures from the habitual level that may help control private car usage in addition to the tactical-level efforts. The mode choice and related data employed in this work were collected by a paper-based questionnaire survey launched in 2015 at a Chinese city. Discrete choice modelling techniques are extensively applied, including the mixed logit (ML), mixed nested logit (mixed NL) and integrated choice and latent variable (ICLV) models. Our findings are compared to those from developed countries for any similarities and differences that lie between, though by addressing several key research gaps in the field, the findings will also significantly enrich the literature on shared mobility choice behaviour as well as disclosing implications for practitioners from both developed and developing countries for take-away and formulating the corresponding demand management policies.
Supervisor: Kamargianni, M. ; Schafer, A. Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.779184  DOI: Not available
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