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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.
- Source :
-
Periodica Polytechnica: Transportation Engineering . 2024, Vol. 52 Issue 1, p1-17. 17p. - Publication Year :
- 2024
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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