Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Ali Naderan"'
Aggregate crash prediction model based on gravity model: Introducing crash risk distribution concept
Publikováno v:
Transportation Engineering, Vol 19, Iss , Pp 100297- (2025)
Crash prediction models (CPMs) can be valuable for future transportation planning decisions. This study aims to develop CPMs based on the trip distribution step of the common four-step demand models. For this purpose, the Gravity Model is used. For m
Externí odkaz:
https://doaj.org/article/a57a182e66974ffb9f45199efe4139cf
Publikováno v:
Transportation Engineering, Vol 14, Iss , Pp 100218- (2023)
Online and offline shopping trips have a profound impact on various facets of urban life, including e-commerce, transportation systems, and sustainability. To assess the factors shaping consumers' decisions, we introduce a novel hybrid machine learni
Externí odkaz:
https://doaj.org/article/67856f00182d471885dabded0fdabdc7
Publikováno v:
Transportation Engineering, Vol 12, Iss , Pp 100181- (2023)
Built environmental factors are one of the most important causes of urban crashes. Studies have shown that in addition to crash data, which have spatial heterogeneity, factors influencing crashes also have a spatial correlation. The main goal of this
Externí odkaz:
https://doaj.org/article/93dc304211ed44fb9f9b5e54b4f895ef
Publikováno v:
Archives of Trauma Research, Vol 9, Iss 1, Pp 16-23 (2020)
Background and Objective: Extensive studies have so far been carried out on developing safety models. Despite the extensive efforts made in identifying independent variables and methods for developing models, little research has been carried out in p
Externí odkaz:
https://doaj.org/article/d77dd1913eed493c8052a79caccbb850
Publikováno v:
Complexity, Vol 2021 (2021)
The supply and demand management of rural public transport has gained an important place in Iran, given its decreasing trend over the last decade. Accordingly, an effective approach is to analyze stakeholders’ opinions in this field to identify the
Externí odkaz:
https://doaj.org/article/26a56b76039b458b8699aff26aee3465
Publikováno v:
International Journal of Intelligent Transportation Systems Research. 21:207-218
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46ea3bcfbef5e5c83cfaac13ae6f1310
https://doi.org/10.1007/s13177-023-00347-3
https://doi.org/10.1007/s13177-023-00347-3
Publikováno v:
Transportation Letters. :1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::938e01e287bd3b2a439113b27825ec89
https://doi.org/10.1080/19427867.2022.2159101
https://doi.org/10.1080/19427867.2022.2159101
Studying Active Transportation (AT) is widespread in America and Europe's research and stud-ies that include Latent variables (LV) are growing to identify exact results of finding what to do to increase the utility of AT. LVs help us to have more acc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1941ee0400b8303d4d70daabf598813
https://doi.org/10.20944/preprints202301.0284.v1
https://doi.org/10.20944/preprints202301.0284.v1
