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A methodology for measuring the form of organic settlements
1Graduate School of Science, Engineering, and Technology, Istanbul Technical University, ITU Ayazaga Kampusu, 34496, Maslak, Istanbul, Turkey.
Methodsx
|March 13, 2019
Summary
This study presents a new methodology for measuring the spatial qualities of organic urban settlements. It provides a detailed framework and mathematical measurements for analyzing complex urban forms.
Area of Science:
- Urban morphology
- Spatial analysis
- Geographic Information Systems (GIS)
Background:
- Urban morphology studies often lack quantitative measurement of spatial features.
- Measuring the complexity of organic (irregular) settlements presents significant challenges.
- Existing methods struggle with the high complexity of irregular urban layouts.
Purpose of the Study:
- To develop a detailed framework and guideline for analyzing and measuring urban form, particularly organic layouts.
- To create a methodology for quantitatively assessing the spatial qualities of historic organic settlements.
- To address the challenge of measuring complex spatial features in irregular urban fabric.
Main Methods:
- Adopting and extending the Conzenian approach, categorizing urban form into streets, plots, and buildings.
- Developing a detailed categorization and structure of urban components.
- Utilizing mathematical measurements for distances, dimensions, areas, proportions, and relationships at various scales.
- Employing AutoCAD and Geographic Information Systems (GIS) tools for mapping and measurement.
Main Results:
- The methodology provides a robust framework for measuring the complexity of urban form in organic settlements.
- It enables detailed synthesis of information and understanding of interrelationships within complex urban systems.
- The approach facilitates the development of automated tools for urban form analysis.
Conclusions:
- The developed methodology offers a valuable tool for quantitatively analyzing the spatial characteristics of organic urban settlements.
- It enhances the understanding of complex urban systems by providing a structured approach to data synthesis and analysis.
- The framework supports the potential creation of automated software for detailed urban form measurement and correlation analysis.
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