UrbanVCA: a vector-based cellular automata framework to simulate the urban land-use change at the land-parcel level

• URL: http://arxiv.org/abs/2103.08538v1
• Date: Mon, 15 Mar 2021 17:03:22 GMT
• Title: UrbanVCA: a vector-based cellular automata framework to simulate the urban land-use change at the land-parcel level
• Authors: Yao Yao, Linlong Li, Zhaotang Liang, Tao Cheng, Zhenhui Sun, Peng Luo, Qingfeng Guan, Yaqian Zhai, Shihao Kou, Yuyang Cai, Lefei Li, Xinyue Ye
• Abstract summary: The UrbanVCA is a brand-new vector CA-based urban development simulation framework. Using Shunde, Guangdong as the study area, the UrbanVCA simulates multiple types of urban land-use changes at the land-parcel level. The simulation results in 2030 show that the eco-protection scenario can promote urban agglomeration and reduce ecological aggression and loss of arable land by at least 60%.
• Score: 4.12627107272774
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Vector-based cellular automata (CA) based on real land-parcel has become an important trend in current urban development simulation studies. Compared with raster-based and parcel-based CA models, vector CA models are difficult to be widely used because of their complex data structures and technical difficulties. The UrbanVCA, a brand-new vector CA-based urban development simulation framework was proposed in this study, which supports multiple machine-learning models. To measure the simulation accuracy better, this study also first proposes a vector-based landscape index (VecLI) model based on the real land-parcels. Using Shunde, Guangdong as the study area, the UrbanVCA simulates multiple types of urban land-use changes at the land-parcel level have achieved a high accuracy (FoM=0.243) and the landscape index similarity reaches 87.3%. The simulation results in 2030 show that the eco-protection scenario can promote urban agglomeration and reduce ecological aggression and loss of arable land by at least 60%. Besides, we have developed and released UrbanVCA software for urban planners and researchers.

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