Publication: Model Willingness to Use Public Transport in the USA Based on Socio-Economic and Demographic Characteristics
Model Willingness to Use Public Transport in the USA Based on Socio-Economic and Demographic Characteristics
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Publisher DOI
10.13189/cea.2023.110330
Date
2023-03-12
Type
Article
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Publisher
Horizon Research Publishing
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Source
https://www.hrpub.org/journals/article_info.php?aid=13036
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Abstract
Promoting public transport can increase the role of transport in sustainable development. Thus, studying the determinants of choosing public transport by travelers is crucial for transportation planning purposes, where developing an accurate model can help in examining any proposed scenarios. This paper aims to develop a multivariable regression model to describe the willingness to use public transport (W) represented as the percentage of people who use public transport in United States cities. First, census data of socio-economic and demographic characteristics are analyzed to identify significant factors for W to develop the model. Then, the regression technique is utilized to develop the model. The model is statistically assessed, in which the significance of all independent variables is examined and represented by a p-value. Moreover, the correlation between variables is examined. Then, the most statistically appropriate model for W is identified based on a set of performance measures such as coefficient of determination, average error, geometrical mean, Theil's inequality coefficient, and frictional bias. Finally, sensitivity analysis is conducted to assess the elasticity of the model to changes in the significant variables by considering a 10% change (increase or decrease) in the average of each variable.
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Keywords
Travel Demand Management (TDM), Willingness to Use Public Transport, Regression, Socio-Economic Characteristics
Citation
Ahmed Elkafoury, Maged Zagow, Khaled Saeed, Ahmed Mahmoud Darwish (2023). Model Willingness to Use Public Transport in the USA Based on Socio-Economic and Demographic Characteristics. Civil Engineering and Architecture, 11(3), 1487 - 1497. DOI: 10.13189/cea.2023.110330.
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Civil Engineering and Architecture
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11
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3
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© 2023 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.