Stated preference and travel behaviour modelling

2020 ◽  
pp. 202-225
Author(s):  
Angela Stefania Bergantino ◽  
Mario Catalano
Keyword(s):  
Stated Preference ◽  
Travel Behaviour ◽  
Behaviour Modelling

scholarly journals Travel mode choice preferences of urban commuters in Kuching City, Malaysia based on stated preference data

2018 ◽  
Vol 181 ◽  
pp. 02007
Author(s):  
Resdiansyah
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Public Transportation ◽  
Stated Preference ◽  
Mode Choice ◽  
Travel Behaviour ◽  
Transportation Systems ◽  
Choice Modelling ◽  
Public Transport System ◽  
Bus Services

One aspect of Kuching City that has not progressed in tandem with the rest of the city is the public transport system, which is relatively old and almost non-existent. Transport and City planners seem to be at their wit’s end in coming up with satisfactory solutions to Kuching’s public transportation woes. In current situation, many proposals, but none have proven workable. As a result, representative buses remain a rare sight on Kuching city’s roads. To achieve a sustainable public transport industry, the old buses need to be regenerated and replaced with modern buses. The objectives of the intended study are to explore the consumer’s travel behaviour by employing mode choice modelling. Consequently, a study was conducted in Kuching City Area by using stated preference technique, analysed and compiled by using SPSS.17 multiple linear regressions analysis. In this context, discrete choice analysis was used to examine the relationship between independent variables (travel time, waiting time, fares and comfort) and dependent variables (choice of respondent whether to consume old bus or choose new bus services). A total of 2000 respondents were interviewed. The findings showed that for the trips purpose, fares and comfortability were the primary factors that reflected the decision or behaviour of the respondents asked. It was discovered that there is a significant relationship between the choice of the respondents and comfortability. It also appeared that longer travel time did not affect for the traveler’s choice at this stage. Hence, the study suggests that the local authority and the bus operators should establish a “quality partnership” and working together in order to come out with a much better and appropriate transport policy and schemes for the existing public transportation systems, especially bus services.

scholarly journals An activity-based approach for complex travel behaviour modelling

2010 ◽  
Vol 2 (4) ◽  
pp. 209-221 ◽  
Author(s):  
Gennaro Nicola Bifulco ◽  
Armando Cartenì ◽  
Andrea Papola
Keyword(s):  
Travel Behaviour ◽  
Behaviour Modelling

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

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.

scholarly journals Who Is Willing to Share Their AV? Insights about Gender Differences among Seven Countries

2021 ◽  
Vol 13 (9) ◽  
pp. 4769
Author(s):  
Amalia Polydoropoulou ◽  
Ioannis Tsouros ◽  
Nikolas Thomopoulos ◽  
Cristina Pronello ◽  
Arnór Elvarsson ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Autonomous Vehicles ◽  
Stated Preference ◽  
Autonomous Vehicle ◽  
Mixed Logit ◽  
Travel Behaviour ◽  
User Preferences ◽  
Traffic Conditions ◽  
Study Results ◽  
Willingness To Adopt

The introduction of shared autonomous vehicles into the transport system is suggested to bring significant impacts on traffic conditions, road safety and emissions, as well as overall reshaping travel behaviour. Compared with a private autonomous vehicle, a shared automated vehicle (SAV) is associated with different willingness-to-adopt and willingness-to-pay characteristics. An important aspect of future SAV adoption is the presence of other passengers in the SAV—often people unknown to the cotravellers. This study presents a cross-country exploration of user preferences and WTP calculations regarding mode choice between a private non-autonomous vehicle, and private and shared autonomous vehicles. To explore user preferences, the study launched a survey in seven European countries, including a stated-preference experiment of user choices. To model and quantify the effect of travel mode attributes and socio-demographic characteristics, the study employs a mixed logit model. The model results were the basis for calculating willingness-to-pay values for all countries and travel modes, and provide insight into the significant heterogeneous, gender-wise effect of cotravellers in the choice to use an SAV. The study results highlight the importance of analysis of the effect of SAV attributes and shared-ride conditions on the future acceptance and adoption rates of such services.

scholarly journals A review on travel behaviour modelling in dynamic traffic simulation models for evacuations

2011 ◽  
Vol 39 (1) ◽  
pp. 97-123 ◽  
Author(s):  
Adam J. Pel ◽  
Michiel C. J. Bliemer ◽  
Serge P. Hoogendoorn
Keyword(s):  
Traffic Simulation ◽  
Simulation Models ◽  
Travel Behaviour ◽  
Dynamic Traffic ◽  
Behaviour Modelling

Methodological Developments in Travel Behaviour Modelling

2001 ◽  
pp. 227-237 ◽  
Author(s):  
Denis Bolduc ◽  
Daniel McFadden
Keyword(s):  
Travel Behaviour ◽  
Behaviour Modelling
Sign in / Sign up

Export Citation Format

Share Document