A Multi-Level and Multi-Dimensional Measuring on Urban Sprawl: A Case Study in Wuhan Metropolitan Area, Central China
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- Hui Luan & Daniel Fuller, 2022. "Urban form in Canada at a small-area level: Quantifying “compactness†and “sprawl†with bayesian multivariate spatial factor analysis," Environment and Planning B, , vol. 49(4), pages 1300-1313, May.
- John Gibson & Chao Li & Geua Boe-Gibson, 2014. "Economic Growth and Expansion of China’s Urban Land Area: Evidence from Administrative Data and Night Lights, 1993–2012," Sustainability, MDPI, vol. 6(11), pages 1-16, November.
- Huan Li & Yehua Dennis Wei & Yuemin Ning, 2016. "Spatial and Temporal Evolution of Urban Systems in China during Rapid Urbanization," Sustainability, MDPI, vol. 8(7), pages 1-17, July.
- Eric Gielen & Gabriel Riutort-Mayol & José Sergio Palencia-Jiménez & Isidro Cantarino, 2018. "An urban sprawl index based on multivariate and Bayesian factor analysis with application at the municipality level in Valencia," Environment and Planning B, , vol. 45(5), pages 888-914, September.
- Tikoudis, Ioannis & Farrow, Katherine & Mebiame, Rose Mba & Oueslati, Walid, 2022. "Beyond average population density: Measuring sprawl with density-allocation indicators," Land Use Policy, Elsevier, vol. 112(C).
- Peizhi Tian & Binyang Jian & Jianrui Li & Xitian Cai & Jiangfeng Wei & Guo Zhang, 2023. "Land-Use-Change-Induced Cooling and Precipitation Reduction in China: Insights from CMIP6 Models," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
- Linlin Zhang & Guanghui Qiao & Huiling Huang & Yang Chen & Jiaojiao Luo, 2021. "Evaluating Spatiotemporal Distribution of Residential Sprawl and Influencing Factors Based on Multi-Dimensional Measurement and GeoDetector Modelling," IJERPH, MDPI, vol. 18(16), pages 1-18, August.
- Jean-Philippe Aurambout & Ricardo Barranco & Carlo Lavalle, 2018. "Towards a Simpler Characterization of Urban Sprawl across Urban Areas in Europe," Land, MDPI, vol. 7(1), pages 1-18, March.
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Keywords
urban sprawl; multi-level; multi-dimension; measurement; Wuhan;All these keywords.
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