A land-use mix allocation model considering adjacency,intensity, and proximity |
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| Authors: | Sunyong Eom Tsutomu Suzuki Myeong-Hun Lee |
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| Institution: | 1. Center for Spatial Information Science, The University of Tokyo , Kashiwa, Japan eomsunyong@csis.u-tokyo.ac.jp https://orcid.org/0000-0002-8164-7097;3. Division of Policy and Planning Sciences, Faculty of Engineering, Information and Systems, University of Tsukuba , Tsukuba, Japan;4. Graduate School of Urban Studies, Hanyang University , Seoul, Korea |
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| Abstract: | ABSTRACT Land-Use Mix (LUM) refers to the strategy of integrating complementary functions within a building or area. While LUM has become a dominant approach in urban planning, its actual benefits and vision for spatial planning remain unclear. To clarify this issue, this study discerns the spatial features of land-use patterns depending on the compatibilities among land-use categories. Accordingly, this study introduces three LUM measures – adjacency, intensity, and proximity – to identify differences in the spatial distribution of land-use categories. Based on these measures, a land-use allocation model is developed to specify spatial patterns satisfying the given compatibilities. This model is tested by applying the concept of the neighborhood unit on a case study of normative land-use patterns subject to specified compatibilities. The results describe spatial features of four compatibility sets, including a set exhibiting a compatibility conflict between the same land-use pair and LUM measures when, for example, a given land-use pair is compatible in terms of intensity but incompatible in terms of proximity. Understanding the spatial features of a normative land-use pattern that satisfies various possible compatibilities will facilitate the incorporation of the LUM approach into local planning guidance and zoning ordinances. |
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| Keywords: | Land-use allocation land-use mix multi-objective function spatial planning |
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![ORCID Icon]({"type":"image","src":"/templates/jsp/images/orcid.png"} "ORCID Icon")
https://orcid.org/0000-0002-8164-7097;3. Division of Policy and Planning Sciences, Faculty of Engineering, Information and Systems, University of Tsukuba , Tsukuba, Japan;4. Graduate School of Urban Studies, Hanyang University , Seoul, Korea