Abstract

Aim/Background:
Urban design, a multidisciplinary field that integrates planning, architecture, and social science, faces challenges in translating theoretical ideals into effective practice, particularly during the initial stages. This paper addresses a key gap in urban design by proposing a structured, multidimensional framework for data collection and analysis, an essential but often underdeveloped phase.

Methods:
A systematic literature review was conducted using Scopus, Web of Science, and the Avery Index (2000–2025). The search employed terms such as “urban design process,” “data collection techniques,” and “morphological analysis.” A total of 108 peer-reviewed articles and 15 foundational texts in English were reviewed based on the defined inclusion criteria.

Results:
The study identified six core dimensions of urban design: morphological, perceptual, visual, social, functional, and temporal, and systematically linked each to appropriate data collection and analytical techniques, including GIS, BIM, behavioral mapping, and cognitive survey.

Conclusion:
The proposed framework enhances existing urban design methodologies by offering a practical, context-sensitive approach tailored to the needs of contemporary cities. It equips practitioners with structured guidance for the early stages of design, thereby supporting more responsive and sustainable urban development. Future research is recommended to empirically test the framework across varied urban contexts.

Key words: Urban design, Urban design process, Data collection and analysis techniques, Multidimensional framework.