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Analysing Associations between the Actual, Ideal and Maximum Willingness to Commute Time, as well as Satisfaction with Commuting: A Case Study of Jounieh, Lebanon.

Authors :
Falah, Dalia
Mehriar, Melika
Masoumi, Houshmand
Source :
Periodica Polytechnica: Transportation Engineering. 2024, Vol. 52 Issue 1, p1-17. 17p.
Publication Year :
2024

Abstract

Many studies have been conducted worldwide to study travel behavior, specifically commuting times. Nevertheless, few or none have been conducted in the Middle East and North Africa region. The main objective of this paper is to understand the relationship between the actual, ideal and maximum willingness to commute times, and satisfaction with commuting in the city of Jounieh, Lebanon. Socio-economic and land use factors were included to investigate whether they influence commuting times. The average commuting time of the sample is 48.2 minutes, longer than their ideal commute time by about 20 minutes, while their maximum willingness to commute time is 53.46 minutes. The sample was neither satisfied nor dissatisfied with their commutes. After performing multivariate Ordinary Least Squares model, and fixing the socio-economic and land use variables, the model proved that the actual and ideal commuting times as well as the actual and maximum commuting times are positively correlated, but the actual commuting time and satisfaction are negatively correlated. A univariate Ordinary Least Square model was performed to determine the correlation between ideal and maximum commuting times; they are highly positively correlated. Finally, the average commuting times and satisfaction were compared for some categories. Women spend almost 13% less time commuting than men, yet they have lower level of satisfaction. Lebanese commuters are also shown to commute more than non-Lebanese ones by approximately 22%. University level commuters commute about 36% more than non-university level people, while unemployed and employed respondents commute for the same time. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03037800
Volume :
52
Issue :
1
Database :
Academic Search Index
Journal :
Periodica Polytechnica: Transportation Engineering
Publication Type :
Academic Journal
Accession number :
175690922
Full Text :
https://doi.org/10.3311/PPtr.21543