The Application of Artificial Intelligence in Participatory Urban Planning: Emphasizing Natural Language Processing (NLP)

Ebrahimi, Mohammad; Ehsan Bakhsh, Niloofar

The Application of Artificial Intelligence in Participatory Urban Planning: Emphasizing Natural Language Processing (NLP)

Document Type : Review Article

Authors

Mohammad Ebrahimi ¹

Niloofar Ehsan Bakhsh ²

¹ Assistant Professor of Urban Planning Department, Larestan Higher Education Complex, Lar, Iran

² .Department of Urban Planning, Larestan Higher Education Complex, Lar, Iran

Abstract

Background and Objective: Participatory urban planning aims to increase citizen involvement in urban decision-making and requires tools for analyzing vast amounts of textual data. This study investigates the application of Natural Language Processing (NLP) in analyzing citizens' opinions regarding urban development plans.
Methodology: Using content analysis methods and machine learning algorithms, opinions collected from social media platforms were analyzed. The results indicated that NLP can accurately identify sentiments, main topics, and patterns present in citizens' comments.
Findings and Conclusion: These findings suggest that NLP can serve as a powerful tool to enhance the decision-making process in urban planning. However, limitations such as informal language and the presence of specialized terminology in comments indicate a need for further development of NLP models.

Keywords

Participatory Urban Planning

Natural Language Processing

Decision Making

Machine Learning

Participation

Citizens

Subjects

Urban Planning

دویران، اسماعیل،۱۳۸۷،توسعه محله ای در شهر زنجان (نمونه موردی:محله مسکونی اسلام آباد)پایان نامه کارشناسی ارشد،دانشکده علوم زمین،دانشگاه شهید بهشتی
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