Simulation of Dynamic Urban Growth Boundary Combining Urban Vitality and Ecological Networks: A Case Study in Chengdu Metropolitan Area DOI Creative Commons

Xiaojiang Xia,

Yue Zhang, Xiaona Shi

et al.

Land, Journal Year: 2022, Volume and Issue: 11(10), P. 1793 - 1793

Published: Oct. 14, 2022

The Chengdu Metropolitan Area, located on the eastern edge of world’s highest plateau, has experienced a period integrating urban and rural area development for decades. With rapid urbanization population growth, vulnerability security ecological environment have become critical aspects to consider in sustainability. Moreover, presence different levels vitality study crucial impact land-use change. Hence, we propose growth boundary based theory networks. We focus identifying inefficient land potential land, explore their expansion probabilities conduct spatial simulations next 15 years, combine network form reasonable pattern. Results showed that proposed model could simulate state more accurately within certain space scale integrate limits influences strategies under multiple planning periods. Thus, can be an effective decision support tool government.

Language: Английский

Land use/cover change simulation research: A system literature review based on bibliometric analyses DOI Creative Commons

Meili Chen,

Narimah Samat, Mohammad Javad Maghsoodi Tilaki

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 112991 - 112991

Published: Dec. 14, 2024

Language: Английский

Citations

1

Urban Growth Forecast Using Machine Learning Algorithms and GIS-Based Novel Techniques: A Case Study Focusing on Nasiriyah City, Southern Iraq DOI Creative Commons
Sadeq Khaleefah Hanoon, Ahmad Fikri Abdullah, Helmi Zulhaidi Mohd Shafri

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2023, Volume and Issue: 12(2), P. 76 - 76

Published: Feb. 20, 2023

Land use and land cover changes driven by urban sprawl has accelerated the degradation of ecosystem services in metropolitan settlements. However, most optimisation techniques do not consider dynamic effect on spatial criteria which decisions are based. In addition, integrating current simulation approach with approaches to make a sustainable decision regarding suitable site encompasses complex processes. Thus, this study aims innovate novel technique that can predict for long time be simply integrated decisions. Three main processes were applied study: (1) supervised classification process using random forest (RF), (2) prediction growth hybrid method combining an artificial neural network cellular automata (3) development machine learning (ML) model boundaries (UGBs). The ML included linear regression, RF, K-nearest neighbour AdaBoost. performance was effective, according validation metrics measured four algorithms. results show Nasiriyah City expansion (the area) is haphazard unplanned, resulting disastrous effects natural systems. area ratio increased about 10%, i.e., from 2.5% year 1992 12.2% 2022. city will expanded 34%, 25% 19% years 2032, 2042 2052, respectively. Therefore, recommended integration determine sites would covered future expansion.

Language: Английский

Citations

3

Opportunities and limitations of integrating computational and collaborative approaches to scenario planning DOI Creative Commons
Ripan Debnath, Christopher Pettit, Simone Leão

et al.

Journal of Urban Management, Journal Year: 2023, Volume and Issue: 12(4), P. 314 - 326

Published: Sept. 2, 2023

In the context of changing global trends and growing uncertainties, creating evaluating alternative future scenarios is crucial for urban regional planning. Computational collaborative approaches are two contemporary options scenario They have distinct roles often applied independently. This study investigates integration these approaches, addressing a knowledge gap by explicitly integrating Cellular Automata-based model within geodesign framework. It assesses process planning outcomes through resilience case study. The key finding from this experiment that information generated computational approach with transparency reliability inherent in can enhance end-user's experience. also perceived to positive effects on outcomes, which particularly relevant joint evidence-based cities regions. However, highlights need further investigation into methods utility real-world practitioners community.

Language: Английский

Citations

3

Delineation of Urban Development Boundary and Carbon Emission Effects in Xuzhou City, China DOI Creative Commons
Haitao Ji,

Xiaoshun Li,

Yiwei Geng

et al.

Land, Journal Year: 2023, Volume and Issue: 12(9), P. 1819 - 1819

Published: Sept. 21, 2023

Urban development boundary (UDB) has always served as a crucial aspect of urban sprawl research. The objective this paper is to investigate delineation and carbon emission effects. Firstly, we examined the patterns land use changes. Additionally, utilized FLUS model calculation delineate UDB calculate effects within under typical scenarios. research results are follows: (1) Xuzhou city witnessed significant increase in both forest construction from 2010 2020. (2) Under CPS, area cultivated increased by 217.05 km2 compared NDS. NDS CPS was 971.50 968.99 km2, respectively. (3) Compared NDS, led net 4759.93 t UDB. Therefore, should enhance sequestration reduction capacity agricultural system. This study beneficial for expanding depth on guiding low-carbon development. We sincerely encourage readers download improve paper.

Language: Английский

Citations

3

Simulation of Dynamic Urban Growth Boundary Combining Urban Vitality and Ecological Networks: A Case Study in Chengdu Metropolitan Area DOI Creative Commons

Xiaojiang Xia,

Yue Zhang, Xiaona Shi

et al.

Land, Journal Year: 2022, Volume and Issue: 11(10), P. 1793 - 1793

Published: Oct. 14, 2022

The Chengdu Metropolitan Area, located on the eastern edge of world’s highest plateau, has experienced a period integrating urban and rural area development for decades. With rapid urbanization population growth, vulnerability security ecological environment have become critical aspects to consider in sustainability. Moreover, presence different levels vitality study crucial impact land-use change. Hence, we propose growth boundary based theory networks. We focus identifying inefficient land potential land, explore their expansion probabilities conduct spatial simulations next 15 years, combine network form reasonable pattern. Results showed that proposed model could simulate state more accurately within certain space scale integrate limits influences strategies under multiple planning periods. Thus, can be an effective decision support tool government.

Language: Английский

Citations

4