scholarly journals Understanding the structure of preference heterogeneity in public transport and air travel using structural choice modelling

2018 ◽  
Author(s):  
Thomas Magor
Keyword(s):  
Public Transport ◽  
Air Travel ◽  
Preference Heterogeneity ◽  
Choice Modelling ◽  
Structural Choice

scholarly journals Structural Choice Modelling: Theory and Applications to Combining Choice Experiments

2011 ◽  
Vol 4 (3) ◽  
pp. 1-29 ◽  
Author(s):  
Campbell M. Rungie ◽  
Leonard V. Coote ◽  
Jordan J. Louviere
Keyword(s):  
Choice Experiments ◽  
Choice Modelling ◽  
Structural Choice

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 Will We Fly Again? Modeling Air Travel Demand in light of COVID-19 through a London Case Study

2021 ◽  
pp. 036119812110252
Author(s):  
Francesco Manca ◽  
Aruna Sivakumar ◽  
Jacek Pawlak ◽  
Norbert J Brodzinski
Keyword(s):  
Travel Demand ◽  
Choice Model ◽  
Stated Preference ◽  
Air Travel ◽  
Preference Heterogeneity ◽  
Business Travel ◽  
Air Transport Industry ◽  
Travel Restrictions ◽  
Attitudinal Characteristics ◽  
The Impact

The COVID-19 pandemic and associated travel restrictions have created an unprecedented challenge for the air transport industry, which before the pandemic was facing almost the exact opposite set of problems. Instead of the growing demand and need for capacity expansion warring against environmental concerns, the sector is now facing a slump in demand and the continuing uncertainty about the impacts of the pandemic on people’s willingness to fly. To shed light on consumer attitudes toward air travel during and post the pandemic, this study presents an analysis that draws on recently collected survey data (April–July 2020), including both revealed and stated preference components, of 388 respondents who traveled from one of the six London, U.K., airports in 2019. Several travel scenarios considering the circumstances and attitudes related to COVID-19 are explored. The data is analyzed using a hybrid choice model to integrate latent constructs related to attitudinal characteristics. The analysis confirms the impact of consumers’ health concerns on their willingness to travel, as a function of travel characteristics, that is, cost and number of transfers. It also provides insights into preference heterogeneity as a function of sociodemographic characteristics. However, no significant effects are observed concerning perceptions of safety arising from wearing a mask, or concerns over the necessity to quarantine. Results also suggest that some respondents may perceive virtual substitutes for business travel, for example video calls and similar software, as only a temporary measure, and seek to return to traveling as soon as it is possible to do so safely.

scholarly journals A Demonstration of Structural Choice Modelling in a Market Research Context

2016 ◽  
Vol 58 (6) ◽  
pp. 859-879 ◽  
Author(s):  
Jasha Bowe ◽  
Richard Lee ◽  
Larry Lockshin ◽  
Cam Rungie
Keyword(s):  
Latent Variables ◽  
Structural Equations ◽  
Discrete Choice Experiments ◽  
Choice Modelling ◽  
Random Utility Theory ◽  
Product Categories ◽  
Interaction Terms ◽  
Structural Choice ◽  
Simultaneous Comparisons ◽  
Repeated Choice

Grounded in random utility theory, discrete choice experiments (DCE) have proven to be effective in uncovering consumers' choice preferences and switching patterns for repeated choice. Despite this efficacy, a key shortcoming of a DCE is that it does not allow simultaneous comparisons across separate experiments, such as for different product categories, even if both experiments use the same respondents. While wider modelling in a single DCE can use interaction terms as a workaround method to compare across experiments, comparing partworth estimates of separate DCEs is problematic. This study illustrates the use of structural choice modelling (SCM), a recent development that incorporates latent variables and structural equations into the analyses of DCEs and more generally into choice processes. SCM makes it possible to evaluate the consistencies (i.e. heterogeneity) of preferences for attributes common across multiple DCEs when applied to the same respondents, thereby overcoming the stated DCEs' weakness.

scholarly journals Inferring customer heterogeneity for rural tourism: A latent class approach based on a best-worst choice modelling

2021 ◽  
Vol 67 (No. 7) ◽  
pp. 266-276
Author(s):  
Wookhyun An ◽  
Silverio Alarcón
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Demographic Factors ◽  
Rural Tourism ◽  
Preference Heterogeneity ◽  
Class Analysis ◽  
Choice Modelling ◽  
Customer Heterogeneity ◽  
Socio Demographic Factors

This research aims to analyse customers' preference heterogeneity for rural tourism in Spain and explore their preferences' personal and socio-demographic factors. To achieve this purpose, latent class analysis with the best-worst choice modelling has been applied through conducting a survey on 452 customers in Madrid and Barcelona. The results show that there are five classes in the Spanish rural tourism market: 'all-around seeker', 'leisure activist', 'culture explorer', 'comfort-driven user', and 'basic value pursuer'. The contribution of this investigation is that it is the first study that applied the latent class analysis with best-worst choice modelling to explore customers' preference heterogeneity for rural tourism.

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