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Transportation mode choice binary logit model: a case study for Johor Bahru city

Puan, O. C. and Hassan, Y. A. H. and Mashros, N. and Idham, M. K. and Hassan, N. A. and Warid, M. N. M. and Hainin, M. R. (2019) Transportation mode choice binary logit model: a case study for Johor Bahru city. In: 11th International Conference on Geotechnical Engineering in Tropical Regions, GEOTROPIKA 2019 and 1st International Conference on Highway and Transportation Engineering, ICHITRA 2019, 27-28 Feb 2019, Kuala Lumpur, Malaysia.

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Official URL: http://dx.doi.org/10.1088/1757-899X/527/1/012066

Abstract

The mode choice stage in transportation planning is the analysis process to estimate the number or percentage of trips performed by each mode of transport. In practice, the number of trips is used to estimate the demand for each mode of transport. Such information is important for planning and designing transportation facilities in an urban area. A mathematical model of individuals' mode choice is usually required in such an analysis. This paper discusses the result of a study carried out to evaluate the attributes that influence the mode choice of transport in Johor Bahru city by interviewing the individuals living for more than one year in the study area. The investigation conducted through one of attitudinal survey techniques known as stated preference survey. Stated preference survey conducted on a random sample of 384 respondents. Investigated attributes have been identified in analysis stage by applying binary logistic regression analysis procedure before deriving binary logit model for individuals' mode choice of transport in Johor Bahru city. Based on stated preference survey and logistic regression analysis of data, the model of mode choice of transport in Johor Bahru has been derived and attributes of age, income, vehicle ownership, comfort of car, reliability of bus service, affective motives and instrumental motives were found statistically correlated to the mode choice of transport in Johor Bahru.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:estimation, geotechnical engineering, regression analysis
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Civil Engineering
ID Code:90314
Deposited By: Narimah Nawil
Deposited On:18 Apr 2021 04:01
Last Modified:18 Apr 2021 04:01

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