Disaggregate traffic mode choice model based on combination of revealed and stated preference data

The diffusion of new modes of transportation, such as carsharing and electric vehicles, makes it necessary to consider them along with traditional modes in travel demand modeling. However, there are two main challenges for transportation modelers. First, the new modes’ low share of usage leads to a lack of reliable revealed preference data for model estimation. Stated preference survey data are a promising and well-established approach to close this gap. Second, the state-of-the-art model approaches are sometimes stretched to their limits in large-scale applications. This research developed a combined destination and mode choice model to consider these new modes in the agent-based travel demand model mobiTopp. Mixed revealed and stated preference data were used, and new modes (carsharing, bikesharing, and electric bicycles) were added to the mode choice set. This paper presents both challenges of the modeling process, mainly caused by large-scale application, and the results of the new combined model, which are as good as those of the former sequential model although it also takes the new modes into consideration.

Download Full-text

Mode choice analysis using discrete choice model from transport user (Case study: Jakarta LRT, Indonesia)

MATEC Web of Conferences ◽

10.1051/matecconf/201818103001 ◽

2018 ◽

Vol 181 ◽

pp. 03001

Author(s):

Dwi Novi Wulansari ◽

Milla Dwi Astari

Keyword(s):

Discrete Choice ◽

Public Transportation ◽

Choice Model ◽

Stated Preference ◽

Mode Choice ◽

Choice Models ◽

Discrete Choice Models ◽

Light Rail ◽

Choice Analysis ◽

Mode Choice Model

Jakarta Light Rail Transit (Jakarta LRT) has been planned to be built as one of mass rail-based public transportation system in DKI Jakarta. The objective of this paper is to obtain a mode choice models that can explain the probability of choosing Jakarta LRT, and to estimate the sensitivity of mode choice if the attribute changes. Analysis of the research conducted by using discrete choice models approach to the behavior of individuals. Choice modes were observed between 1) Jakarta LRT and TransJakarta Bus, 2) Jakarta LRT and KRL-Commuter Jabodetabek. Mode choice model used is the Binomial Logit Model. The research data obtained through Stated Preference (SP) techniques. The model using the attribute influences such as tariff, travel time, headway and walking time. The models obtained are reliable and validated. Based on the results of the analysis shows that the most sensitive attributes affect the mode choice model is the tariff.

Download Full-text

Strategic Management of New Products: Ex-Ante Simulation and Market Segmentation

International Journal of Market Research ◽

10.2501/ijmr-2013-024 ◽

2013 ◽

Vol 55 (2) ◽

pp. 289-314 ◽

Cited By ~ 1

Author(s):

Jae Young Choi ◽

Jungwoo Shin ◽

Jongsu Lee

Keyword(s):

Choice Model ◽

Stated Preference ◽

New Products ◽

Demand Forecasting ◽

Consumer Preference ◽

Gaussian Mixture ◽

Electronic Payment ◽

Preference Data ◽

Payment Instruments ◽

Stated Preference Data

Among various methodologies for demand forecasting of new products, the random-coefficient discrete-choice model using stated preference data is considered to be effective because it reflects heterogeneity in consumer preference and enables the design of experiments in the absence of revealedpreference data. Based on estimates drawn from consumer preference data by structural hierarchical Bayesian logit models, this study develops the overall, strategic, demand-side management for new products by combining market share simulation and a rigorous clustering methodology, the Gaussian mixture model. It then applies the process to the empirical case of electronic payment instruments.

Download Full-text

Empirical study of travel mode forecasting improvement for the combined revealed preference/stated preference data–based discrete choice model

Advances in Mechanical Engineering ◽

10.1177/1687814015624836 ◽

2016 ◽

Vol 8 (1) ◽

pp. 168781401562483 ◽

Cited By ~ 3

Author(s):

Yanfu Qiao ◽

Yihui Huang ◽

Fei Yang ◽

Miao Zhang ◽

Lin Chen

Keyword(s):

Empirical Study ◽

Discrete Choice ◽

Choice Model ◽

Stated Preference ◽

Revealed Preference ◽

Discrete Choice Model ◽

Travel Mode ◽

Preference Data ◽

Stated Preference Data

Download Full-text

Pemodelan Pemilihan Moda Rute Medanâ€“Binjai Antara Kereta Api dan Bus dengan Metode Stated Preference

Jurnal Rekayasa Konstruksi Mekanika Sipil (JRKMS) ◽

10.54367/jrkms.v1i1.235 ◽

2018 ◽

pp. 35-43

Author(s):

Indra Markeshwan Zagoto ◽

Charles Sitindaon ◽

Oloan Sitohang

Keyword(s):

Service Quality ◽

Choice Model ◽

Stated Preference ◽

Mode Choice ◽

Access Time ◽

Stated Preference Survey ◽

User Choice ◽

Trip Purpose ◽

Railway Line ◽

Mode Choice Model

The objective of this research is to construct a user mode choice model between BRT Mebidang andÂ Sri Lelawangsa railway line, and further to test the sensitivity of trip user choice toward certainÂ change in attributes value. Data were collected using stated preference survey, and analysed usingÂ logit biner model. Based on user responses, it was found that 50.96% trip purpose is related toÂ family/social matter, while the main reason to travel using both modes is convenience. The tilityÂ function of Mebidang bus is given as follow: UBM-KA = 7.256 - 0.565X1 - 0.031X2 + 0.101X3 -Â 0.071X4 + 0.088X5 where X1 is cost, X2 is time, X3 is headway, X4 is accesstime, dan X5 is serviceÂ quality. The model shows that cost, time, and access time negatively affect Mebidang bus utility thusÂ will lower the probability of user choosing bus over rail. In terms of sensitivity, access time andÂ service quality are considered more sensitive in affecting the probability of choosing bus.

Download Full-text