Temporal-VCA: Simulating urban land use change using coupled temporal data and vector cellular automata

Yao, Yao; Zhou, Kun; Liu, Chenxi; Sun, Zhenhui; Chen, Dongsheng; Li, Linlong; Cheng, Tao; Guan, Qingfeng

doi:10.1016/j.cities.2024.104975

Cities

2024

DOI: 10.1016/j.cities.2024.104975

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Temporal-VCA: Simulating urban land use change using coupled temporal data and vector cellular automata

Yao Yao,

Kun Zhou,

Chenxi Liu

et al.

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2024

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Cited by 2 publications

References 79 publications

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A multiclass logistic regression, Markov chain, and cellular automata integration for modelling urban land use change

Okwuashi,

Ndehedehe,

Olayinka

2024

Physics and Chemistry of the Earth, Parts A/B/C

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A multiclass logistic regression, Markov chain, and cellular automata integration for modelling urban land use change

Okwuashi,

Ndehedehe,

Olayinka

2024

Physics and Chemistry of the Earth, Parts A/B/C

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Deep Learning-Based Approach for Optimizing Urban Commercial Space Expansion Using Artificial Neural Networks

Yang,

Zhao,

2024

Applied Sciences

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Amid escalating urbanization, devising rational commercial space layouts is a critical challenge. By leveraging machine learning, this study used a backpropagation (BP) neural network to optimize commercial spaces in Weinan City’s central urban area. The results indicate an increased number of commercial facilities with a trend of multi-centered agglomeration and outward expansion. Based on these findings, we propose a strategic framework for rational commercial space development that emphasizes aggregation centers, development axes, and spatial guidelines. This strategy provides valuable insights for urban planners in small- and medium-sized cities in the Yellow River Basin and metropolitan areas, ultimately showcasing the power of machine learning in enhancing urban planning.

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Temporal-VCA: Simulating urban land use change using coupled temporal data and vector cellular automata

Cited by 2 publications

References 79 publications

A multiclass logistic regression, Markov chain, and cellular automata integration for modelling urban land use change

A multiclass logistic regression, Markov chain, and cellular automata integration for modelling urban land use change

Deep Learning-Based Approach for Optimizing Urban Commercial Space Expansion Using Artificial Neural Networks

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