الفهرس 
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Abstract
Artificial Intelligence (AI) technology is widely offering applications to extend urban studies. Many studies have shown that smart cities could use AI applications as an appropriate tool to observe and model urban environments (Yigitcanlar T. , et al., 2018; Gessa & Sancha, 2020). However, there is a limited understanding of how technology can contribute to study human behavior in the urban context. The harmony between the human being and the surrounding environment is very essential to achieve high levels of comfort (Guo, Sun, Su, & Wang, 2021). Urban designers and landscape architects always work to achieve high comfort levels for people through their design (Duives, Daamen, & Hoogendoorn, 2015; Kim, Hallonquist, & Settachai, 2006).
Metro transit has been regarded as a main transportation mode in Cairo. This is probably due to the congestion above ground and the raising prices of public transportation tickets. Metro station locations almost don’t lead directly to the destination. So, the users always need to use other public transportation methods or walk to reach their destinations. Urban configuration has to serve various pedestrian scenarios around metro stations (Hoeven & Nes, 2013). Urban form is defined by three fundamental physical elements. They are buildings and their related open spaces, plots or lots and streets (Moudon A. V., 1997). These elements should serve way finding, orientation and visibility for Metro stations. However, there is a lack of oriented, safe and comfortable pedestrian environment around Metro stations, which affects users’ walking behavior and their overall satisfaction.
Thesis mainly focuses on studying the correlation between urban configuration elements around Metro stations and the total users’ experience. The study uses spatial analysis using GIS software integrated with Artificial Intelligence applications to analyze the effects of urban configuration on users’ total experience. This is in order to provide urban design guidelines for existing and future Metro stations’ surrounding in Cairo. This study mapped pedestrian behavior in metro stations’ context using AI technology to relate users’ experience and urban configuration. The method depended on an ascending AI application to analyse users’ experiences within three metro station entrances in Ramses, Cairo, Egypt. This research conducted spatial analysis for the selected study area using Geographical Information System (GIS) application. The results clarify the role of AI technology in studying human experience in the urban context. The research reveals that urban configuration with multiple elements in the stations’ context strongly affects metro users’ comfort and overall experiences. This study opens future research direction with a valuable method for developing qualitative and quantitative analysis for people’s experiences around stations’ context.
Artificial Intelligence (AI) technology is widely offering applications to extend urban studies. Many studies have shown that smart cities could use AI applications as an appropriate tool to observe and model urban environments (Yigitcanlar T. , et al., 2018; Gessa & Sancha, 2020). However, there is a limited understanding of how technology can contribute to study human behavior in the urban context. The harmony between the human being and the surrounding environment is very essential to achieve high levels of comfort (Guo, Sun, Su, & Wang, 2021). Urban designers and landscape architects always work to achieve high comfort levels for people through their design (Duives, Daamen, & Hoogendoorn, 2015; Kim, Hallonquist, & Settachai, 2006).
Metro transit has been regarded as a main transportation mode in Cairo. This is probably due to the congestion above ground and the raising prices of public transportation tickets. Metro station locations almost don’t lead directly to the destination. So, the users always need to use other public transportation methods or walk to reach their destinations. Urban configuration has to serve various pedestrian scenarios around metro stations (Hoeven & Nes, 2013). Urban form is defined by three fundamental physical elements. They are buildings and their related open spaces, plots or lots and streets (Moudon A. V., 1997). These elements should serve way finding, orientation and visibility for Metro stations. However, there is a lack of oriented, safe and comfortable pedestrian environment around Metro stations, which affects users’ walking behavior and their overall satisfaction.
Thesis mainly focuses on studying the correlation between urban configuration elements around Metro stations and the total users’ experience. The study uses spatial analysis using GIS software integrated with Artificial Intelligence applications to analyze the effects of urban configuration on users’ total experience. This is in order to provide urban design guidelines for existing and future Metro stations’ surrounding in Cairo. This study mapped pedestrian behavior in metro stations’ context using AI technology to relate users’ experience and urban configuration. The method depended on an ascending AI application to analyse users’ experiences within three metro station entrances in Ramses, Cairo, Egypt. This research conducted spatial analysis for the selected study area using Geographical Information System (GIS) application. The results clarify the role of AI technology in studying human experience in the urban context. The research reveals that urban configuration with multiple elements in the stations’ context strongly affects metro users’ comfort and overall experiences. This study opens future research direction with a valuable method for developing qualitative and quantitative analysis for people’s experiences around stations’ context.