International Review for Spatial Planning and Sustainable Development
Online ISSN : 2187-3666
ISSN-L : 2187-3666
Planning Strategy for Green Transit Oriented Development Using A Multi-objecitve Planning Model
Jen Hua LiuJen Te PaiJen Jia Lin
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2018 Volume 6A Issue 1 Pages 35-52

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Abstract

This study develops a multi-objective planning model for Green transit oriented development (Green TOD) from the aspect of overall review of urban planning, which aims to generate planning alternatives for land use allocation, bikeway design and water resource allocation. The objectives of the model are maximizing the development density, maximizing the mixed land use, maximizing the biophilic open space, maximizing the bikeway accessibility, minimizing the parking demand, maximizing the benefit of resource allocating and minimizing the rezoning scale of available land. The following constrains are considered in the model including rezoning feasibility of overall review, compatible land use allocation, minimum allocated scale and maximum allocated capacity, budget limit, identification of transit station area and bikeway continuities. The revised minimum deviation method with different weight settings were used to search the non-inferior solutions for a numerical case built by this study to verify the applicability of the proposed model. Finally, scenario analysis was conducted to explore the characteristics of the model. The result found that some of the objectives, which cannot be integrated due to the difference of planning concept and decision making problem, feature of non-trade-off relationship. Approaches of high density development and environmentally friendly development can be applied to pursue the integrated benefit according to this characteristic. Furthermore, Scenario analysis showed that budget amount influences the planning flexibility and trade-off degree significantly. Budgeting should therefore be dealt appropriately base on the current zoning to ensure the achievement of planning preference.

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© 2018 SPSD Press.
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