ISPRS-Archives ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLI-B8-1089-2016 MULTI-AGENT BASED SIMULATION OF OPTIMAL URBAN LAND USE ALLOCATION IN THE MIDDLE REACHES OF THE YANGTZE RIVER, CHINA Zeng Y. 1 2 Huang W. 3 Jin W. 1 2 Li S. 3 https://orcid.org/0000-0002-8244-5681 School of Geosciences and Info-physics, Central South University, Changsha, 410083, China Center for Geomatics and Sustainabal Development Research, Central South University, Changsha, 410083, China Department of Civil Engineering, Ryerson University, Toronto, Ontario Canada M5B 2K3 24 06 2016 XLI-B8 1089 1092 This article is available from https://isprs-archives.copernicus.org/articles/isprs-archives-XLI-B8-1089-2016.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLI-B8-1089-2016.pdf

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.