Development of Mode Choice Models for Undergraduate Students in Baghdad City

Khudhair, Hanan Adil; Alsadik, Samer Muayad

doi:10.1007/978-3-030-32816-0_110

Cited by 2 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many researchers have developed mode choice prediction models worldwide, Khudhair and Alsadik, (2020): developed a mode choice model for students at Al-Mustansiriya University, Baghdad University, and Karkh University using a multinomial logit model. The study found that the cost of travel, travel time, gender, comfort, and safety are the most influencing factors on the choice of mode of transport, which will help the concerned authorities to try to improve public transport services and contribute to sustainability by transferring students traveling from private transport to public transport [4]. Elharoun etal.,(2018): studied a behavioral model for choosing the mode choice for Mansoura city in Egypt using the multinomial logit model.…”

Section: Introductionmentioning

confidence: 98%

Modal Split Model Using Multiple Linear Regression Analysis

Yousif¹,

Abed²,

Awad³

2021

AJES

View full text Add to dashboard Cite

Several modal split models have been created around the world to forecast which mode of transportation will be selected by the trip -maker from among a variety of available modes of transportation. This modeling is essential from a planning standpoint, as transportation systems typically receive significant investment. In this study, the main purpose was to develop a mode choice model using multiple linear regressions for Ramadi city in Iraq. The study area was divided into traffic analysis zones (TAZ) to facilitate data collection. The data was collected through a home interview of the trip makers in their home units through a questionnaire designed for this purpose. The result showed that the most influential factors on the mode choice for the general trips model using multiple linear regressions are car ownership, age, and trip cost. This model gave a good correlation coefficient of 0.829 meaning that the independent variables explain 82.9 of variance in the dependent variable (type of mode), which will help transport planners in developing policies and solutions for future.

show abstract

Section: Introductionmentioning

confidence: 98%

Modal Split Model Using Multiple Linear Regression Analysis

Yousif¹,

Abed²,

Awad³

2021

AJES

View full text Add to dashboard Cite

show abstract

Involving Infrastructure as a Latent Variable in Active Transportation Mode Choice: The Case Study of Baghdad City

Abdulhussein,

Jameel

2024

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

Infrastructural developments have been implemented with the objective of promoting active transportation as a sustainable transportation mode, including the construction of cycling and walking routes and the improvement of existing infrastructure. The impact of this factor on ridership has been a subject of research, and the incorporation of this variable into mode choice models has also been contemplated. Nevertheless, road users’ perception regarding the utilization of these infrastructures has yet to be investigated. Accordingly, this research aims to examine the role of infrastructure provision for walking and cycling as a Latent Variable (LV) in the transport mode choice of high school students in Baghdad City, where this subject has not been previously addressed. A self-designed questionnaire was employed to collect the requisite data. The Integrated Choice and Latent Variable (ICLV) models have been designed and the results demonstrate that the time and cost of trips have a significant impact on the choice of transportation mode. Furthermore, the provision of walking and cycling infrastructure has a notable effect on the choice of walking and cycling for transport. The sub-models indicate that the provision of cycling fences and pedestrian bridges are the most significant variables. Consequently, it is recommended that these results be considered in the provision and improvement of cycling and walking infrastructures to promote active transportation.

show abstract

Development of Mode Choice Models for Undergraduate Students in Baghdad City

Cited by 2 publications

References 9 publications

Modal Split Model Using Multiple Linear Regression Analysis

Modal Split Model Using Multiple Linear Regression Analysis

Involving Infrastructure as a Latent Variable in Active Transportation Mode Choice: The Case Study of Baghdad City

Contact Info

Product

Resources

About