Abstract
The use of Cumulative Prospect Theory (CPT) in decision making related to transportation risk is still much debated. Mainly because of the travel and socio-economic characteristics of the traveller it possible for different responses to the specified Reference Point (RP) as well as the loss aversion. This difference can be seen from the value of Cumulative Prospect Theory parameters. Therefore, this paper will discuss about the determination of parameters CPT which affect public transportation mode choice model in the course of work trip activity. The reference point as an essential part of this study is determined based on the average travel time of commuter worker from South Tangerang City to Jakarta. Data obtained from stated preference survey, Feeder Busway/Busway and Commuter Line Jabodetabek as mode alternative and travel time attribute as a risk factor. The Binomial Logit model which has transformed utility distribution and probability with CPT and the Least Square Method to be obtained the parameters. Finally, some conclusions can be drawn that the CPT parameters produced by this study, have closed the range of value requirements in the CPT theory. So that the parameter value can be used to model the probability of mode choice with the risk of travel time in the study area.
Highlights
Travel choices in urban areas are influenced by several factors including public transport services and perceptions of travellers on network conditions
Whereas [12] in the mode choice gets a value of which is much larger than the parameters obtained by [7]. These results indicate that the determination of Cumulative Prospect Theory (CPT) parameters in the field of transportation results in more diverse values due to differences in the characteristics of travellers and their sensitivity to risk
From the value of the CPT parameter based on the travel time above, it can be made an image of the weighting function compared to the previous research, as shown in the following Figure 2
Summary
Travel choices in urban areas are influenced by several factors including public transport services and perceptions of travellers on network conditions. Whereas [12] in the mode choice gets a value of which is much larger than the parameters obtained by [7] These results indicate that the determination of CPT parameters in the field of transportation results in more diverse values due to differences in the characteristics of travellers and their sensitivity to risk. For this reason, the paper aims to examine the suitability of existing CPT parameters if applied to the choice of commuter public transport modes for work trips with more heterogeneous respondents. As well as the possibility of using the new CPT parameter for the case
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
