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The Optimal Project Combination for Urban Regeneration New Deal Projects

  • Korea Real Estate Review
  • 2018, 28(1), pp.23-37
  • DOI : 10.35136/krer.28.1.2
  • Publisher : korea real estate research institute
  • Research Area : Social Science > Law > Law of Special Parts > Law of Real Estate
  • Published : March 31, 2018

박재호 1 Geem, Zong Woo 2 Yu, Jung Suk 1

1단국대학교
2가천대학교

Accredited

ABSTRACT

The genetic algorithm (GA) and branch and bound (B&B) methods are the useful methods of searching the optimal project combination (combinatorial optimization) to maximize the project effect considering the budget constraint and the balance of regional development with regard to the Urban Regeneration New Deal policy, the core real estate policy of the Moon Jae-in government. The Ministry of Land, Infrastructure, and Transport (MOLIT) will choose 13 central-city-area-type projects, 2 economic-base-type projects, and 10 public-company-proposal-type projects among the numerous projects from 16 local governments while each government can apply only 4 projects, respectively, for the 2017 Urban Regeneration New Deal project. If MOLIT selects only those projects with a project effect maximization purpose, there will be unselected regions, which will harm the balance of regional development. For this reason, an optimization model is proposed herein, and a combinatorial optimization method using the GA and B&B methods should be sought to satisfy the various constraints with the object function. Going forward, it is expected that both these methods will present rational decision-making criteria if the central government allocates a special-purpose-limited budget to many local governments.

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