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Urban Shadow Mapping for Smart Planning
SE-C-12
Elad Lavi; eladla2@ac.sce.ac.il Tali Dubovski; talidu@ac.sce.ac.il Ziv Faigenboim; zivfa@ac.sce.ac.il
Advisors: Dr. Hadas Chassidim1, Dr. Batel Yossef Ravid1 1SCE - Shamoon College of Engineering, Be’er-Sheva
Urban areas in hot, dry climates face challenges in creating comfortable public spaces due to limited natural shade. This project addresses the lack of accessible, real-time data on shaded areas with information essential for both urban planning and residents’ daily decisions. The research includes two stages. First, a public survey examined residents’ habits, comfort levels, and awareness regarding shade. The results showed a strong demand for accurate information on shaded areas throughout the day. At the second implementation stage, light sensors were embedded within the GIS framework to support real-time shadow mapping capabilities. These maps will support city planners and the public. A pilot will test the system’s effectiveness. The goal is to promote better planning and improve urban comfort.
Keywords: comfort, gis, sensor, shade, urban planning
Negev Pulse: Directing Emergency Services to Unrecognized Villages
SE-C-13
Israa Algergawi; aisrael@ac.sce.ac.il Somaya Abu Samor; somayab@ac.sce.ac.il Tasneem Shnaiwer; tasnesh@ac.sce.ac.il
Advisors: Dr. Hadas Chassidim1, Dr. Batel Yossef Ravid1 1SCE - Shamoon College of Engineering, Be’er-Sheva
The absence of formal infrastructure, standardized addresses, and official cartographic data hinders the provision of emergency services in unrecognized villages within the Negev. This project consisted of two phases: (1) a field survey based on the ESRI platform aimed at eliciting residents’ spatial perceptions of navigation to unrecognized villages, and (2) the development of a mobile application designed to collect information from residents. The system integrates geographic information systems (GISs) with real-time, crowdsourced data, emphasizing local knowledge and community-identified landmarks to enhance routing accuracy. Developed using JavaScript, React, and Node.js in a Windows environment with Leapfloat GIS, the application leverages community input to support effective navigation and naming of hidden locations, thereby improving access to unrecognized villages.
Keywords: emergency services, geographic information systems (gis), landmarks, navigation, unrecognized villages