Predictive Architecture of Urban Spaces: Designing Safe, Aesthetic, and Ethical Environments through AI Data and Predictive Policing
محل انتشار: ماهنامه پایاشهر، دوره: 7، شماره: 79
سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 26
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شناسه ملی سند علمی:
JR_PAYA-7-79_079
تاریخ نمایه سازی: 26 مهر 1404
چکیده مقاله:
In response to the increasing integration of predictive policing and artificial intelligence into urban infrastructure, the design of public spaces is facing a fundamental transformation. The primary purpose of this research is to explore the role of architects and urban designers in creating "predictive urban spaces" by examining how to design safe, aesthetic, and ethical environments through the use of AI data and predictive systems. This study employs a descriptive-analytical methodology, conducting a comprehensive review of existing theories, technologies, and case studies. As a conceptual review, the research does not utilize a traditional statistical population or sampling method; instead, its foundation is a curated body of academic literature and well-documented urban projects. Data were gathered via a systematic literature review of peer-reviewed scholarly sources across urban design, criminology, law, and technology . The analysis involves a qualitative synthesis and comparative examination of this literature, focusing on the evolution of Crime Prevention Through Environmental Design (CPTED), the integration of AI, and the ethical challenges illustrated by case studies such as New York's High Line and South Korea's Songdo Smart City. The research concludes that while AI-driven architecture holds significant potential for enhancing safety, it also presents substantial ethical risks. It is confirmed that these systems can perpetuate algorithmic bias, leading to "digital redlining" and reinforcing social inequalities, thereby threatening spatial justice. The findings affirm that technological and aesthetic success does not automatically ensure social equity. Therefore, the paper strongly advocates for an interdisciplinary approach that embeds ethical AI design, data transparency, and community participation into the planning process to ensure future cities are genuinely safe and just for all inhabitants.
کلیدواژه ها:
Predictive Policing ، Urban Design ، Crime Prevention Through Environmental Design (CPTED) ، Spatial Justice ، Smart Cities
نویسندگان
AmirTaha Ashrafi
- Master of Architecture student, Faculty of Architecture and Urban Planning, Islamic Azad University, North Tehran Branch
Mahnaz Mahmoodi Zarandi
Department of Architecture, Islamic Azad University, North Tehran Branch, Tehran, Iran
Simin Najmi
Department of Architecture, Islamic Azad University, North Tehran Branch, Tehran, Iran