Alireza Mahpour, S. E. Seyedabrishami, Amir Reza Mamdoohi et A. H. Baghestani
Article de revue (2018)
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Abstract
In this paper by using the aggregate socioeconomic features of each zone and considering the land use prosperities, the aggregate zonal tours were modeled. For that, classic 4-step modeling database was utilized in which less data collection cost needs. Due heteroscedasticity , appling weighted least square (WLS) method led to multiple weighted regressions by two exogenous independent variables; population and number of employers in zone. Heteroscedasticity affect the efficiency of regression. In comparing of two model, the F test of WLS method growth 27 percent and the amount t students for population reduced from 2.79 to 2.27 that in negligible. On the other hand, the amount of t students for number of employers increases from 2.62 to 3.40 (30 percent). Constant coefficient is negative but in comparison with the maximum number of observed tours (7202 tours) is 0.069 percent and the average number of observed tours (1386 tours) is 0.36 percent that is negligible and the R2 goodness of fit index is 0.927 and acceptable.
Mots clés
Activity-based Model; Tour; Weighted Multiple Regressions; Qazvin.
URL de PolyPublie: | https://publications.polymtl.ca/56450/ |
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Titre de la revue: | Amirkabir Journal of Civil Engineering (vol. 50, no 1) |
Maison d'édition: | Amirkabir University of Technology |
DOI: | 10.22060/ceej.2016.699 |
URL officielle: | https://doi.org/10.22060/ceej.2016.699 |
Date du dépôt: | 02 nov. 2023 15:35 |
Dernière modification: | 25 sept. 2024 16:48 |
Citer en APA 7: | Mahpour, A., Seyedabrishami, S. E., Mamdoohi, A. R., & Baghestani, A. H. (2018). Modeling intracity tours with work purpose using weighted multiple regressions. Amirkabir Journal of Civil Engineering, 50(1), 139-148. https://doi.org/10.22060/ceej.2016.699 |
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