Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/139304
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTan, Clement Jun Wenen_US
dc.contributor.authorGoh, Xue Ruien_US
dc.contributor.authorLeong, Wan Yien_US
dc.date.accessioned2020-05-18T13:04:21Z-
dc.date.available2020-05-18T13:04:21Z-
dc.date.issued2020-
dc.identifier.urihttps://hdl.handle.net/10356/139304-
dc.description.abstractWith the research efforts on artificial intelligence technology and the presence of autonomous vehicle (AV) in our society today, there have been discussions on the incorporation of AV as a mode of transport in our daily lives. Therefore, this paper analyses a subset of these behavioural biases, namely driver overconfidence, risk preference and technology acceptance on and their effect on one’s commuting mode choice using a decision-theoretic approach and a binary logit regression model. The 2 main research questions of the paper are as follow: (1) Understand the fundamental drivers of decision-making in commuting mode choice given the option of fully autonomous option alongside non-autonomous vehicles options. (2) Elicit the ranked preference of commuters’ transportation mode choices based on the non- autonomous and autonomous transportation landscape. The above questions have been addressed in the paper through the conduct of an experiment to study the individual’s probability of choosing between “Self”, AV and non-AV options. Elicitation of individual’s preferences were obtained through the tabulation of the probability of choosing an option between “Self”, AV and non-AV. With the use of an experimental study, it serves to incorporate choice theory into real-life scenario of making transport mode choice with the interactions with individual’s behavioural factors. Overall, in regression 1, the dummy treatment variable (AV) and the constant were both negative and significant, which illustrates that given a choice between “Self” and NAV, individuals would prefer NAV and given a choice between “Self” and AV, individuals would prefer AV. Following, in regression 2, the coefficient of the constant was negative and significant which showed that given a choice between NAV and AV, individuals would prefer the option of AV. Furthermore, our findings revealed the hierarchical preference of commuting mode choice being AV>NAV>Self. This study provides valuable insight into the type of information that policymakers and companies should emphasise on when implementing AV as a transport mode choice.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationHE_1AY1920_18en_US
dc.subjectSocial sciences::Economic theoryen_US
dc.titleA decision-theoretic approach on commuting mode choice : an experiential theoretical studyen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorJonathan Tanen_US
dc.contributor.supervisorYohanes Eko Riyantoen_US
dc.contributor.schoolSchool of Social Sciencesen_US
dc.description.degreeBachelor of Arts in Economicsen_US
dc.contributor.supervisoremailj.tan@ntu.edu.sg; YERIYANTO@ntu.edu.sgen_US
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
Appears in Collections:SSS Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
HE_1AY1920_18 FYP by Clement Tan, Goh Xue Rui, Leong Wan Yi.pdf
  Restricted Access
4.65 MBAdobe PDFView/Open
HE_1AY1920_18 Executive Summary by Clement Tan, Goh Xue Rui, Leong Wan Yi.pdf
  Restricted Access
756.1 kBAdobe PDFView/Open

Page view(s)

137
Updated on Jun 22, 2021

Download(s) 50

45
Updated on Jun 22, 2021

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.