Evaluation of urban residential land use efficiency with a neural network from the perspective of service facility capacity-Reference-Cited by-同舟云学术

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Evaluation of urban residential land use efficiency with a neural network from the perspective of service facility capacity

Published:2021-10-05 Issue: Volume: Page:1-20
ISSN:1747-423X
Container-title:Journal of Land Use Science
language:en
Short-container-title:Journal of Land Use Science

Author:

Geng Bing¹^ORCID,Fu Meichen²,Shan Jingjing¹,Sun Yibo³,Wu Zhanyun¹

Affiliation:

1. Research Institute for Eco-civilization, Chinese Academy of Social Sciences, Beijing, China

2. School of Land Science and Technology, China University of Geosciences in Beijing, Beijing, China

3. Chinese Research Academy of Environmental Sciences, Beijing, China

Funder

Postdoctoral Research Foundation of China

Publisher

Informa UK Limited

Subject

Management, Monitoring, Policy and Law,Earth-Surface Processes,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/1747423X.2021.1986159

Reference44 articles.

1. City Compactness: Assessing the Influence of the Growth of Residential Land Use

2. Estimating the effects of urban residential development on water quality using microdata

3. On the separability of urban land-use categories in fine spatial scale land-cover data using structural pattern recognition

4. Determinants of Residential Land‐Use Conversion and Sprawl at the Rural‐Urban Fringe

5. Multi-source remotely sensed data fusion for improving land cover classification

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comparative study of urban land use efficiency of the cities of Hai Phong and Can Tho, Vietnam;Environmental & Socio-economic Studies;2023-09-01

2. Land Use Efficiency Assessment under Sustainable Development Goals: A Systematic Review;Land;2023-04-16

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