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AuthorAlKhereibi, Aya
AuthorAlSuwaidi, Maryam
AuthorAl-Mohammed, Reem
AuthorPokharel, Shaligram
AuthorAyari, Mohamed
Available date2021-10-20T10:42:04Z
Publication Date2021-06
Publication NameTransportation Research Interdisciplinary Perspectives
Identifierhttp://dx.doi.org/10.1016/j.trip.2021.100392
CitationAlKhereibi, A., AlSuwaidi, M., Al-Mohammed, R., Pokharel, S., & Ayari, M. (2021). An integrated urban-transport smart growth model around Metro stations: A case of Qatar. Transportation Research Interdisciplinary Perspectives, 10, 100392. https://doi.org/10.1016/j.trip.2021.100392
ISSN2590-1982
URIhttp://hdl.handle.net/10576/24607
AbstractUrban growth strategies are incorporated for land-use planning and transportation to facilitate people's movement towards a mass transit system. This requires transport demand analysis of a particular area so that, if possible, urban re-planning can be done to support long-term sustainable use of the transportation system. The paper focuses on the study of transportation demand analysis in some stations of the recently opened metro system in Qatar. The study uses hypothetical scenarios of land use density to analyze transportation demand. A regression model is used to assess the relationship between the generated transport demand from each type of land use, which shows that the land-use type can substantially impact the ridership of a mass transit system. Based on the analysis conducted in this paper, it can be concluded that if ridership in a particular area is to be increased, its development for mixed land use might be a good option. The proposed mixed-use planning and the insights developed in the paper are expected to help urban planners in different countries with similar urban growth and development situations.
Languageen
PublisherElsevier
SubjectSmart growth
Urban transportation system
Sustainable land-use planning
Land-use management
TitleAn integrated urban-transport smart growth model around metro stations: A case of Qatar
TypeArticle
Pagination1-9
Volume Number10


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