A stated preference examination of time of travel choice for a recreational trip

The stated preference experimental design can affect the reliability of the parameters estimation in discrete choice model. Some scholars have proposed some new experimental designs, such as D-efficient, Bayesian D-efficient. But insufficient empirical research has been conducted on the effectiveness of these new designs and there has been little comparative analysis of the new designs against the traditional designs. In this paper, a new metro connecting Chengdu and its satellite cities is taken as the research subject to demonstrate the validity of the D-efficient and Bayesian D-efficient design. Comparisons between these new designs and orthogonal design were made by the fit of model and standard deviation of parameters estimation; then the best model result is obtained to analyze the travel choice behavior. The results indicate that Bayesian D-efficient design works better than D-efficient design. Some of the variables can affect significantly the choice behavior of people, including the waiting time and arrival time. The D-efficient and Bayesian D-efficient design for MNL can acquire reliability result in ML model, but the ML model cannot develop the theory advantages of these two designs. Finally, the metro can handle over 40% passengers flow if the metro will be operated in the future.

Download Full-text

Impacts of Real-Time Transit Information on Bus Passengers’ Travel Choices Based on Travel Behaviour Survey

PROMET - Traffic&Transportation ◽

10.7307/ptt.v33i4.3637 ◽

2021 ◽

Vol 33 (4) ◽

pp. 539-550

Author(s):

Yajuan Deng ◽

Mingli Chen

Keyword(s):

Real Time ◽

Stated Preference ◽

Travel Behaviour ◽

Route Selection ◽

Travel Mode ◽

Travel Choice ◽

Departure Time ◽

Calculation Results ◽

Research Findings ◽

The Relationship

Real-time transit information (RTI) service can provide travellers with information on public transport and guide them to arrange departure time and travel mode accordingly. This paper aims to analyse travellers’ choices under RTI by exploring the relationship between the related variables of RTI and passengers’ travel choice. Based on the stated preference (SP) survey data, the ordinal logistic regression model is established to analyse the changing probability of passengers’ travel behaviour under RTI. The model calculation results show that travellers getting off work are more likely to change their travel choice under RTI. When data from the control and experimental groups are compared, the differences in route selection are significant. Specifically, passengers with RTI have a more complex route selection than those without, including their changes of travel mode, departure time, vehicles, and stop choices. The research findings can provide insights into the optimisation of intelligent transit information systems and the strategy of RTI. Also, the analysis of passengers’ travel choice under RTI in the transit network can help to improve network planning.

Download Full-text

Public preference towards the integration of krl and transjakarta tariff

MATEC Web of Conferences ◽

10.1051/matecconf/201925905002 ◽

2019 ◽

Vol 259 ◽

pp. 05002

Author(s):

Andyka Kusuma ◽

Tri Tjahjono ◽

Alviana Dwi Syaputri

Keyword(s):

World Bank ◽

Discrete Choice ◽

Choice Model ◽

Stated Preference ◽

Transportation Cost ◽

Public Preference ◽

Time Saving ◽

Integration System ◽

Travel Choice ◽

Economic Characteristic

Transportation costs in Jakarta reach 30% of the total income of the community every month while the standard that has been set by World Bank is only 10%. This paper discusses the result of willingness-to-pay study conducted at Sudirman railway station in the downtown of Jakarta with the purpose of reducing transportation cost by implementing the tariff integration system of KRL and Transjakarta. The data was collected by the methods of stated preference survey with commuters as the respondent.The survey was conducted by asking the respondents some questions including respondents’ socio-economic characteristic, travel distance, and travel choice exercise. The existing modes that will be compared are motorcycle and bus (kopaja). Motorcycle is the mode whom commuters mostly use with 62% while kopaja is only 38%. The data was analyzed by using discrete choice model and utility function. Based on the analysis, parameters that influence commuters to shift from existing modes to transjakarta are saving time, saving fare, transportation expenditure, and education level. Moreover, the study found that the cheaper the integration tariff offered, the greater the probability of choosing transjakarta services and the faster the travel time of Transjakarta, the greater the probability of choosing transjakarta. Furthermore, each comparison mode has different tariff preferences on the tariff integration system of Transjakarta and KRL.

Download Full-text