Volume XLI-B8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 1089-1092, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-1089-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 1089-1092, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-1089-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  24 Jun 2016

24 Jun 2016

MULTI-AGENT BASED SIMULATION OF OPTIMAL URBAN LAND USE ALLOCATION IN THE MIDDLE REACHES OF THE YANGTZE RIVER, CHINA

Y. Zeng1,2, W. Huang3, W. Jin1,2, and S. Li3 Y. Zeng et al.
  • 1School of Geosciences and Info-physics, Central South University, Changsha, 410083, China
  • 2Center for Geomatics and Sustainabal Development Research, Central South University, Changsha, 410083, China
  • 3Department of Civil Engineering, Ryerson University, Toronto, Ontario Canada M5B 2K3

Keywords: Multi-agent, Simulation, Optimization allocation, Urban, Land use, Chang-Zhu-Tan agglomeration, Central China

Abstract. The optimization of land-use allocation is one of important approaches to achieve regional sustainable development. This study selects Chang-Zhu-Tan agglomeration as study area and proposed a new land use optimization allocation model. Using multi-agent based simulation model, the future urban land use optimization allocation was simulated in 2020 and 2030 under three different scenarios. This kind of quantitative information about urban land use optimization allocation and urban expansions in future would be of great interest to urban planning, water and land resource management, and climate change research.