Review of advantages and applications of disaggregate mode choice models in intercity passenger travel

1987 ◽  
Vol 14 (6) ◽  
pp. 763-770 ◽  
Author(s):  
N. S. Ghoneim ◽  
M. Sargious
Keyword(s):  
Mode Choice ◽  
Travel Behaviour ◽  
Choice Models ◽  
Logit Analysis ◽  
Choice Behaviour ◽  
Advantages And Disadvantages ◽  
Passenger Travel ◽  
Modelling Techniques ◽  
Analysis Mode ◽  
Disaggregate Models

The use of disaggregate models in modelling intercity passengers mode choice behaviour has emerged over the past 20 years. In an attempt to encourage this use, the present paper addresses the advantages and disadvantages of the disaggregate approach as opposed to the conventional aggregate techniques. The results of a literature review in this regard indicate that disaggregation is statistically and behaviourally necessary to model human travel behaviour while being sensitive in selecting the unit of analysis. The paper also compares the logit analysis with other modelling techniques available for application in order to identify the most suitable one. A critical review of previous modelling efforts in the U.S. and Canada, based on the disaggregate logit analysis is presented to demonstrate the applicability of this technique to modelling intercity passengers mode choice behaviour. Some modelling drawbacks and the general findings of the studies are emphasized to provide useful insight for future modelling considerations. Key words: behavioural, disaggregate, logit analysis, mode choice, models, passenger travel.

Disaggregate mode choice models for intercity passenger travel in Canada

1990 ◽  
Vol 17 (2) ◽  
pp. 184-191 ◽  
Author(s):  
Frank R. Wilson ◽  
Sundar Damodaran ◽  
J. David Innes
Keyword(s):  
Data Base ◽  
Goodness Of Fit ◽  
Impact Analysis ◽  
Planning Process ◽  
Mode Choice ◽  
Choice Models ◽  
Travel Survey ◽  
Multinomial Logit Models ◽  
Passenger Travel ◽  
Disaggregate Models

Disaggregate mode choice models were calibrated for intercity passenger travel in Canada using a data base drawn from the Canadian Travel Survey. Multinomial logit models were calibrated for business and nonbusiness trips in the eastern and the western regions of Canada. The calibrated models produced reliable results in terms of goodness-of-fit measures. The likelihood ratio index, ρ2(c), varied from 0.282 to 0.436. Results obtained were comparable to those of previous studies. The research identified the significance of level-of-service factors in determining mode choice. The findings from the study indicated that the Canadian Travel Survey data could be used for developing disaggregate models for possible use in policy impact analysis. The potential for the use of this data base in the transportation planning process could be enhanced if some relatively minor modifications were made. Key words: models, disaggregate, choice, intercity, passenger, travel time, cost, frequency, service.

scholarly journals Mode choice behaviour of students, integrating residential location characteristics: a study from Kochi City, India

2020 ◽  
Vol 79 (ET.2020) ◽  
pp. 1-17
Author(s):  
M.G. Krishnapriya
Keyword(s):  
Travel Demand ◽  
Mode Choice ◽  
Residential Location ◽  
Travel Behaviour ◽  
Vital Role ◽  
Choice Behaviour ◽  
Factors Affecting ◽  
Choice Decision ◽  
Working Day ◽  
Behaviour Models

Mode choice decision of individuals plays a vital role in transportation planning. Individual travel behaviour models can be improved by extending the set of influencing variables used for modelling. In a developing country like India, students contribute a major share of total travel demand especially during morning and evening peak hours of traffic; whose individual travel characteristics are very less studied by transportation professionals. This paper presents exploratory and statistical analysis of mode choice behaviour of students in Kochi City, India. The socio-demographic characteristics, activity-travel behaviour as well as residential location characteristics of students during a usual working day is collected using activity-travel survey data, in Kochi Municipal Corporation. Preliminary analysis gives details on daily activity-travel pattern, mode choice preferences and other particulars of commuters in the study area. Statistical models were developed for understanding the factors affecting mode choice decision and separate mode choice models are also developed for different categories of students. Simulation of choice probabilities over different attributes is also done to identify the potential policy variables that can promote the use of sustainable modes.

A Selective Review of Travel-Mode Choice Models

1982 ◽  
Vol 8 (4) ◽  
pp. 370 ◽  
Author(s):  
Richard Barff ◽  
David Mackay ◽  
Richard W. Olshavsky
Keyword(s):  
Mode Choice ◽  
Choice Models ◽  
Travel Mode ◽  
Selective Review ◽  
Travel Mode Choice

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

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.

Exploring Bus Rapid Transit passenger travel behaviour using big data

2014 ◽  
Vol 53 ◽  
pp. 90-104 ◽  
Author(s):  
Sui Tao ◽  
Jonathan Corcoran ◽  
Iderlina Mateo-Babiano ◽  
David Rohde
Keyword(s):  
Big Data ◽  
Travel Behaviour ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Passenger Travel

A Study on the Transportation Mode Choice Behaviour of Individuals With Different Socio-Economic Status

2018 ◽  
pp. 476-493
Author(s):  
Arun Bajracharya
Keyword(s):  
Public Transportation ◽  
Economic Status ◽  
Mode Choice ◽  
Lower Class ◽  
Upper Class ◽  
Choice Behaviour ◽  
Transportation Mode ◽  
Socio Economic Status ◽  
Private Car ◽  
Transportation Mode Choice

This chapter presents a study on the transportation mode choice behaviour of individuals with different socio-economic status. A previously developed system dynamics model has been adopted by differentiating the population mass into upper, middle, and lower classes. The simulation experiments with the model revealed that generally the upper class individuals would be more inclined to use a private car (PC) instead of public transportation (PT) when their tendency is compared to middle and lower class individuals. It was also observed that lower class individuals would be more willing to use PT instead of PC when their tendency is compared to middle and upper class individuals. As such, it would be difficult to encourage the upper class individuals to use PT instead of PC, and it would be successively easier to do so in the case of middle and lower class individuals. However, the results also indicated that under certain different circumstances, the upper class individuals would also prefer to go for PT, and the lower class ones could prefer to own and use PC instead of PT.

Analyzing Intercity Modal Choice and Competition Between High Speed Rail (HSR) and Other Transport Modes in Indian Context

2016 ◽  
pp. 146-160
Author(s):  
Ashish Verma ◽  
Varun Raturi
Keyword(s):  
High Speed ◽  
Mode Choice ◽  
Transport Infrastructure ◽  
Infrastructure Investment ◽  
Theoretic Approach ◽  
Choice Modelling ◽  
Choice Behaviour ◽  
High Speed Rail ◽  
Game Theoretic ◽  
Game Theoretic Approach

In this study, a theoretical framework is developed in order to assess the viability of transport infrastructure investment in the form of High Speed Rail (HSR) by assessing, the mode choice behaviour of the passengers and the strategies of the operators, in the hypothetical scenario. Discrete choice modelling (DCM) integrated with a game theoretic approach is used to model this dynamic market scenario. DCM is incorporated to predict the mode choice behaviour of the passengers in the new scenario and the change in the existing market equilibrium and strategies of the operators due to the entry of the new mode is analysed using the game theoretic approach. The outcome of this market game will describe the strategies for operators corresponding to Nash equilibrium. In conclusion, the impact of introduction of HSR is assessed in terms of social welfare by analysing the mode choice behaviour and strategic decision making of the operators, thus reflecting on the economic viability of the transport infrastructure investment.

Sign in / Sign up

Export Citation Format

Share Document