Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Conference Object Citation - Scopus: 1A Framework for Integrating Disadvantaged Analysis Into Transportation Planning Models(Gold Coast, 2006) Yiğitcanlar, Tan; Duvarcı, YavuzThe ability to access personal or public transportation is fundamental for people to connect with employment opportunities, health and medical services, educational services, and the community at large. However certain populations lack the ability to provide their own transportation or have difficulty accessing whatever conventional public transportation may be available (Department of Transportation 2003). The ‘transportation disadvantaged’ populations are those persons who are unable to transport themselves or are unable to purchase transportation due to physical or mental disability, income status, or age. Therefore, the transportation disadvantaged are dependent upon others to obtain access to health care, employment, education, shopping, and other life sustaining activities. Additionally, since disadvantage is a personal experience, it can be simply characterised as what people perceive to be transportation disadvantage (Raje 2003).Article Citation - WoS: 21Citation - Scopus: 26Integrated Modeling Approach for the Transportation Disadvantaged(American Society of Civil Engineers (ASCE), 2007) Duvarcı, Yavuz; Yiğitcanlar, TanTransportation models have not been adequate in addressing severe long-term urban transportation problems that transportation disadvantaged groups overwhelmingly encounter, and the negative impacts of transportation on the disadvantaged have not been effectively considered in the modeling studies. Therefore this paper aims to develop a transportation modeling approach in order to understand the travel patterns of the transportation disadvantaged, and help in developing policies to solve the problems of the disadvantaged. Effectiveness of this approach is tested in a pilot study in Aydin, Turkey. After determining disadvantaged groups by a series of spatial and statistical analyses, the approach is integrated with a travel demand model. The model is run for both disadvantaged and nondisadvantaged populations to examine the differences between their travel behaviors. The findings of the pilot study reveal that almost two thirds of the population is disadvantaged, and this modeling approach could be particularly useful in disadvantage-sensitive planning studies to deploy relevant land use and transportation policies for disadvantaged groups.