Zobrazeno 1 - 10
of 10
pro vyhledávání: '"AYA HASAN ALKHEREIBI"'
Autor:
Semira Mohammed, Aya Hasan Alkhereibi, Ammar Abulibdeh, Rana N. Jawarneh, Perumal Balakrishnan
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 20, Iss , Pp 100836- (2023)
Road traffic crashes pose a significant challenge worldwide, necessitating increased efforts to reduce them and promote sustainable transport systems. This study aimed to investigate spatiotemporal road traffic crashes and their causes in the State o
Externí odkaz:
https://doaj.org/article/dacb1ee03eb64e8791301829fd61c5e7
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 12, Iss , Pp 100506- (2021)
This paper proposes a pattern recognition model to develop clusters of homogenous activities for blue-collar workers in the State of Qatar. The activity-based data from the travel diary of 1051 blue-collar workers collected by the Ministry of Transpo
Externí odkaz:
https://doaj.org/article/d6eaea27e6b84cdeab7c61f8a5e8d0ad
Publikováno v:
Designs, Vol 6, Iss 5, p 71 (2022)
Transit-Oriented Development (TOD) is an urban planning approach that facilitates the achievement of sustainable development goals from an urban planning and transportation perspective. Developed countries are moving rapidly to integrate TOD principl
Externí odkaz:
https://doaj.org/article/cdffb23f41d0463fb48f14d72e25a303
Publikováno v:
Sustainability; Volume 15; Issue 2; Pages: 1718
The endeavors toward sustainable transportation systems are a key concern for planners and decision-makers where increasing public transport attractiveness is essential. In this paper, a machine-learning-based predictive modeling approach is proposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6382c348df761919f715f1cb143c2e3
Autor:
AYA HASAN ALKHEREIBI
Publikováno v:
WIT Transactions on The Built Environment.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e9f8a966965b66bbc1feeb57fb6ce5b
https://doi.org/10.2495/umt220041
https://doi.org/10.2495/umt220041
Publikováno v:
Designs; Volume 6; Issue 5; Pages: 71
Transit-Oriented Development (TOD) is an urban planning approach that facilitates the achievement of sustainable development goals from an urban planning and transportation perspective. Developed countries are moving rapidly to integrate TOD principl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::c46fd6fbadda2717850e3e31faceb95a
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 12, Iss, Pp 100506-(2021)
This paper proposes a pattern recognition model to develop clusters of homogenous activities for blue-collar workers in the State of Qatar. The activity-based data from the travel diary of 1051 blue-collar workers collected by the Ministry of Transpo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6d75aeb55d3cce52c6d599f5601dbf9
http://www.sciencedirect.com/science/article/pii/S2590198221002116
http://www.sciencedirect.com/science/article/pii/S2590198221002116
Autor:
Abdalla Siam, Murat Kucukvar, Deepti Muley, Tadesse G. Wakjira, Uvais Qidwai, Aya Hasan Alkhereibi
Publikováno v:
Building Resilience at Universities: Role of Innovation and Entrepreneurship.
Predicting metro ridership is an essential requirement for efficient metro operation and management. The dependence of metro ridership on the land use densities entails a need for an accurate predictive model. To this end, the current study is aimed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e91a449faeaf80206ce15d2d13b09005
https://doi.org/10.29117/quarfe.2021.0164
https://doi.org/10.29117/quarfe.2021.0164
Autor:
Aya Hasan AlKhereibi
Publikováno v:
Sustainable Smart Cities and Territories ISBN: 9783030789008
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0eada484d250219c797e513b29ce866
https://doi.org/10.1007/978-3-030-78901-5_28
https://doi.org/10.1007/978-3-030-78901-5_28
This paper presents a novel study on the examination of explainable machine learning (ML) technique to predict the mode choice for communities with a majority of blue-collared workers. A total of 4875 trip records for 1050 blue-collared workers have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::428848475f6c6f1e6890107b2a96152e
https://hdl.handle.net/10576/24484
https://hdl.handle.net/10576/24484