An Integrated Model for Strategic Environment Impact Assessment of Urban Transportation in Metropolitan Areas: A Case Study on Greater Cairo Region/ نموذج متكامل لتقييم الأثر البيئي الاستراتيجي للنقل الحضري بالمدن الكبرى: دراسة حالة على منطقة القاهرة الكبرى
Air pollution poses a significant threat to human health and the environment, with major pollutants including gases, odors, and particulate matter (dust, mist, and smoke). High concentrations of these pollutants in urban areas severely impact residents, animals, and plants. The World Health Organiza...
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معهد التخطيط القومى
2025
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| On-line přístup: | http://repository.inp.edu.eg//handle/123456789/6185 |
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| Shrnutí: | Air pollution poses a significant threat to human health and the environment, with major pollutants including gases, odors, and particulate matter (dust, mist, and smoke). High concentrations of these pollutants in urban areas severely impact residents, animals, and plants. The World Health Organization (WHO) attributes seven million annual deaths globally to poor air quality, citing risks such as stroke, heart disease, lung cancer, and respiratory illnesses like asthma. Reports from the World Bank, Climate Watch, and Egypt's 2020 State of the Environment Report indicate that transportation is a major contributor to air pollution in the Greater Cairo Region (GCR), where pollution levels often exceed international standards.
Due to limited and incomplete environmental data for the GCR, this paper aims to assess the environmental impact of various transportation policies through the development of a mathematical model. Utilizing an open-source software platform, the model integrates land use, activity-based travel data, traffic simulation, and emission modeling to enhance air quality planning in metropolitan areas. To address data gaps and improve coverage, the study also incorporates integrated environmental datasets derived from Landsat-8 imagery and GIS techniques. Remote sensing, a crucial data acquisition method, is employed to analyze and interpret satellite images and maps for land use, cultivated land, and urban distribution.
The paper concludes that the developed open-source software platform and mathematical model can effectively support environmental impact assessments, track implementation progress, monitor air pollutants, and identify heavily polluted zones, ultimately aiding in informed decision-making. |
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