Konferans bildirisi Açık Erişim
Demirel, Hande; Aldogan, Cemre Fazilet; Akin, Omer; Eroglu, Ahmet
A city is a complex system of dynamic interactive components, where transportation and land use are the two most determinative subsystems of this complexity. In order to enlighten this complexity, the interaction pattern could be determined and simulations for future policy decision could be successfully implemented. Hence, this study aims to aid decision makers to explore interaction between land use and transport within a spatio-temporal domain. In order to achieve the objectives, the methodology to be followed is to introduce measurable indicators for the local interaction pattern and utilize this for modelling the future interactions. The framework developed depends on patio-temporal analysis, hence the designed model is a geographic information system. For modelling the near future simulation neural network modelling techniques were applied. In order to test the developed concepts, a pilot area was selected at the European side of Istanbul, where transportation investments and the rate of urbanization is very high. According to the achieved results, urban areas within the study area are predicted to increase by 23% in 2023, where industrial and commercial units are predicted to increase by 24% for the same year. Hence, the framework developed aids policy makers for sustainable urban transport that integrates urban and transport planning.
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