What is it about?
As part of the post-conflict reconstruction and recovery in Kabul, this study evaluates preferences of residents in their choices for new residential areas, and derives form this spatial patterns. These patterns can be used for future urban planning in the city. The study uses agent based modelling (ABM) to assess the behavior of residents in Kabul and Herat. The results reveal that areas closer to infrastructures are higher in demand.
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Why is it important?
This study is important because after a conflict or war it is often difficult to work on systematic urban planning. In this situation the behavior and preferences of residents are difficult to predict, which may lead to inadequate allocation of resources and construction of infrastructures. Using agent-based models is a way to predict and simulate behavior which can support the comparison of different scenarios and thus help to select appropriate choices of where to plan what.
Perspectives
This study focuses on the reconstruction and spatial planning of a city which has suffered from conflict and drastic relocation, migration and eviction of people. Determining how and where to plan which infrastructure and allocating spaces for residential purposes is thus difficult, as one initially does not know where people are likely to resettle. Hence, constructing and comparing scenarios is crucial for spatial planning.
Professor Walter Timo de Vries
Technical University of Munich
Read the Original
This page is a summary of: Residential Location Preferences in a Post-Conflict Context: An Agent-Based Modeling Approach to Assess High-Demand Areas in Kabul New City, Afghanistan, Land, July 2025, MDPI AG,
DOI: 10.3390/land14071502.
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