Multi-scenario simulation and ecological risk analysis of land use based on the PLUS model: A case study of Nanjing

Gao, Lina; Tao, Fei; Liu, Runrui; Wang, Zilong; Leng, Hongjun; Zhou, Tong

doi:10.1016/j.scs.2022.104055

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Multi-scenario simulation and ecological risk analysis of land use based on the PLUS model: A case study of Nanjing

Author(s): Lina Gao , Fei Tao , Runrui Liu , Zilong Wang , Hongjun Leng , Tong Zhou

Publication date Created: October 2022

Publication date (Print): October 2022

Journal: Sustainable Cities and Society

Publisher: Elsevier BV

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Most cited references 33

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A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects

Shaoying Li, Fengsong Pei, Shaojian Wang … (2017)

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Rapid urbanization in China: A real challenge to soil protection and food security

Jie Chen (2007)

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Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion

Marco Helbich, Jamal Jokar Arsanjani, Ali Darvishi Boloorani … (2013)

0 comments Cited 116 times – based on 0 reviews      Review now

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Lina Gao: (View ORCID Profile)

Zilong Wang: (View ORCID Profile)

Tong Zhou: (View ORCID Profile)

Journal

Title: Sustainable Cities and Society

Abbreviated Title: Sustainable Cities and Society

Publisher: Elsevier BV

ISSN (Print): 22106707

Publication date Created: October 2022

Publication date (Print): October 2022

Volume: 85

Page: 104055

Article

DOI: 10.1016/j.scs.2022.104055

SO-VID: 1d78db64-d439-4717-b255-70e3ddd9e7c2

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https://doi.org/10.15223/policy-017

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https://doi.org/10.15223/policy-012

https://doi.org/10.15223/policy-029

https://doi.org/10.15223/policy-004

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Multi-scenario simulation and ecological risk analysis of land use based on the PLUS model: A case study of Nanjing

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Core Readings in Statistical Mediation Analysis

Most cited references 33

A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects

Rapid urbanization in China: A real challenge to soil protection and food security

Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion

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