Application of artificial neural network in urban fringe's sustainable development index series

Yajuan Yu; Zhen Wang; Huaicheng Guo; Kai Huang; Shutong Wang; Yong Liu

Application of artificial neural network in urban fringe's sustainable development index series

Yajuan Yu^*, Zhen Wang, Huaicheng Guo, Kai Huang, Shutong Wang, Yong Liu

^*Corresponding author for this work

Peking University

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Deriving from the Pressure-State-Response (PSR) theory, a framework of sustainable development (SD) indicators describing urban fringe's urbanization process was brought forward. Sustainable Development Index (I_SD) series for multi-years were used to measure the regional capability of sustainability. The socio-economic-environmental grand system was considered as a grey system and artificial neural network (ANN) was applied to calculate the I_SD series. Then a case study of Huiji District, Zhengzhou City was adopted for I_SD assessment from the year 1987 to 2004, and uncertainty analysis was also construed. The results showed that both the framework and the I_SD with ANN were suitable in reflecting its SD levels. The method is recommendable for analogous problems.

Original language	English
Pages (from-to)	496-502
Number of pages	7
Journal	Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis
Volume	42
Issue number	4
Publication status	Published - Jul 2006
Externally published	Yes

Keywords

Artificial neural network
Huiji District
PSR theory
Sustainable development index

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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abstract = "Deriving from the Pressure-State-Response (PSR) theory, a framework of sustainable development (SD) indicators describing urban fringe's urbanization process was brought forward. Sustainable Development Index (ISD) series for multi-years were used to measure the regional capability of sustainability. The socio-economic-environmental grand system was considered as a grey system and artificial neural network (ANN) was applied to calculate the ISD series. Then a case study of Huiji District, Zhengzhou City was adopted for ISD assessment from the year 1987 to 2004, and uncertainty analysis was also construed. The results showed that both the framework and the ISD with ANN were suitable in reflecting its SD levels. The method is recommendable for analogous problems.",

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T1 - Application of artificial neural network in urban fringe's sustainable development index series

AU - Yu, Yajuan

AU - Wang, Zhen

AU - Guo, Huaicheng

AU - Huang, Kai

AU - Wang, Shutong

AU - Liu, Yong

PY - 2006/7

Y1 - 2006/7

N2 - Deriving from the Pressure-State-Response (PSR) theory, a framework of sustainable development (SD) indicators describing urban fringe's urbanization process was brought forward. Sustainable Development Index (ISD) series for multi-years were used to measure the regional capability of sustainability. The socio-economic-environmental grand system was considered as a grey system and artificial neural network (ANN) was applied to calculate the ISD series. Then a case study of Huiji District, Zhengzhou City was adopted for ISD assessment from the year 1987 to 2004, and uncertainty analysis was also construed. The results showed that both the framework and the ISD with ANN were suitable in reflecting its SD levels. The method is recommendable for analogous problems.

AB - Deriving from the Pressure-State-Response (PSR) theory, a framework of sustainable development (SD) indicators describing urban fringe's urbanization process was brought forward. Sustainable Development Index (ISD) series for multi-years were used to measure the regional capability of sustainability. The socio-economic-environmental grand system was considered as a grey system and artificial neural network (ANN) was applied to calculate the ISD series. Then a case study of Huiji District, Zhengzhou City was adopted for ISD assessment from the year 1987 to 2004, and uncertainty analysis was also construed. The results showed that both the framework and the ISD with ANN were suitable in reflecting its SD levels. The method is recommendable for analogous problems.

KW - Artificial neural network

KW - Huiji District

KW - PSR theory

KW - Sustainable development index

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Application of artificial neural network in urban fringe's sustainable development index series

Abstract

Keywords

UN SDGs

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