Proceedings of the 7th International Conference on Civil Engineering for Sustainable Development (ICCESD 2024)

The Transportation Mode Choice and Carrier Selection Behavior of Rajshahi City Dwellers in Bangladesh

Authors
Md. Mohayminul Islam1, *, Tajwar Taskin2, Arindam Sutradhar Omi3, Md. Tanvir Bin Ahasan4, Shanon Goshami5
1Lecturer, Department of Civil Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh
2Undergraduate student, Department of Civil Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh
3Undergraduate student, Department of Civil Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh
4Undergraduate student, Department of Civil Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh
5Undergraduate student, Department of Civil Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh
*Corresponding author. Email: mohayminul.islam37@gmail.com
Corresponding Author
Md. Mohayminul Islam
Available Online 23 July 2024.
DOI
10.2991/978-94-6463-478-5_4How to use a DOI?
Keywords
Binary Logit Model; Mode of Choice; Multinomial Logit Model; Transportation Engineering
Abstract

One of the most crucial steps in the planning process for transportation is mode selection, which directly affects the way decisions are made. Like the majority of other developing nations, Bangladesh lacks accurate level-of-service statistics for the full range of motorized and nonmotorized modes utilized by travelers. Rajshahi, one of Bangladesh’s largest cities with a population of 1 million, there are major variations in this enormous population’s access to and cost of various modes of transportation. This study explores the complex dynamics of consumers’ choices for modes of transportation and carrier selection in Rajshahi, which is impacted by a wide range of elements, including as socioeconomic position, easy access, education, trip purpose, waiting time, gender, price, and environmental concerns. Here these variable data were collected from almost every ward of Rajshahi City through a questionnaire survey. These variable data were analyzed by Multinomial Logit Model, and Binary Logit Model. Here firstly the choice of mode for intercity movement of Rajshahi city dwellers were analysed by multinomial logit model using 270 data. While doing this, the bus was chosen as the reference mode so that other modes could be compared to it. According to the analysis, respondents’ choices were significantly impacted by three predictors: economic status, frequency of travel, and occupation, with P values of 0.000, 0.012, and 0.042 respectively. From the odd ratio, a detailed relationship demonstrating how these three predictors and others influenced people’s choice of mode was discovered. For instance, respondents who relocate on a monthly or infrequent basis travel by train 1.950 times more frequently than they do by bus. Subsequently, as the majority of respondents (62% of the total data) chose “Train” as their mode of transportation, a Binary logit model was developed to conduct additional analysis and determine the factors that influenced the respondents’ decision to select this mode over all others. The results of the analysis showed that respondents’ Income and whether or not they move monthly or rarely had a substantial impact on their decision to prioritize trains. P values of 0.021 and 0.005, respectively, are displayed. Subsequently, a comprehensive correlation was found from the odd ratio, which illustrated how people’s priorities were influenced by these two predictors as well as other factors. Then for the mode choice for movement of respondents inside Rajshahi, it was noticed that out of 312 points in the dataset, 50% of respondents said they travel within Rajshahi using CNG or an auto. In order to determine the elements that made the mode more significant than all other modes, a binary logit model was finally proposed once more. It demonstrates that the respondent’s cost and employment status had a substantial impact, with P values of 0.000 and 0.024, respectively. According to the odd ratio, respondents with low incomes use autos 2.227 times more frequently than respondents with relatively high incomes.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 7th International Conference on Civil Engineering for Sustainable Development (ICCESD 2024)
Series
Atlantis Highlights in Engineering
Publication Date
23 July 2024
ISBN
978-94-6463-478-5
ISSN
2589-4943
DOI
10.2991/978-94-6463-478-5_4How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Md. Mohayminul Islam
AU  - Tajwar Taskin
AU  - Arindam Sutradhar Omi
AU  - Md. Tanvir Bin Ahasan
AU  - Shanon Goshami
PY  - 2024
DA  - 2024/07/23
TI  - The Transportation Mode Choice and Carrier Selection Behavior of Rajshahi City Dwellers in Bangladesh
BT  - Proceedings of the 7th International Conference on Civil Engineering for Sustainable Development (ICCESD 2024)
PB  - Atlantis Press
SP  - 32
EP  - 46
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-478-5_4
DO  - 10.2991/978-94-6463-478-5_4
ID  - Islam2024
ER  -