A GIS-Based Framework for Enhancing Walkability Through Citizen Participation and AI Insights
摘要
The rapid growth of cities has increased reliance on automobiles, resulting in several challenges. This research focuses on enhancing walkability in urban environments to address these issues. This study employs a multi-faceted approach, starting with a comprehensive survey to understand current walking habits, safety perceptions, and community design considerations. The core of this research involves utilizing GIS tools, such as ArcGIS and CityEngine, to analyze urban infrastructure, safety, public amenities, and accessibility factors. Patterns derived from this analysis inform the development of recommendations. The research integrates wider sidewalks, marked crosswalks, traffic-calming measures, shaded areas, seating, public transportation integration, bicycle infrastructure, open public spaces, and enhanced safety features into the urban design. The findings suggest that thoughtful urban planning, incorporating AI-driven insights and community feedback, can create environments conducive to walking, thus contributing to healthier, more sustainable cities. The research provides practical recommendations for urban planners, policymakers, and designers to foster pedestrian-friendly urban spaces.