Mixed Land Use Evaluation and Its Impact on Housing Prices in Beijing Based on Multi-Source Big Data
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- Danya Kim & Jangik Jin, 2019. "The Effect of Land Use on Housing Price and Rent: Empirical Evidence of Job Accessibility and Mixed Land Use," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
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Cited by:
- Zengzheng Wang & Fuhao Zhang & Yangyang Zhao, 2023. "Exploring the Spatial Discrete Heterogeneity of Housing Prices in Beijing, China, Based on Regionally Geographically Weighted Regression Affected by Education," Land, MDPI, vol. 12(1), pages 1-24, January.
- Fangyuan Liu & Kaili Chen & Tianzheng Zhang & Yingjie Zhang & Yan Song, 2022. "Will Good Service Quality Promote Real Estate Value? Evidence from Beijing, China," Land, MDPI, vol. 11(2), pages 1-18, January.
- Yunes Almansoub & Ming Zhong & Asif Raza & Muhammad Safdar & Abdelghani Dahou & Mohammed A. A. Al-qaness, 2022. "Exploring the Effects of Transportation Supply on Mixed Land-Use at the Parcel Level," Land, MDPI, vol. 11(6), pages 1-28, May.
- Xia, Fangzhou & Lu, Pingzhen, 2023. "Can mixed land use promote social integration? Multiple mediator analysis based on spatiotemporal big data in Beijing," Land Use Policy, Elsevier, vol. 132(C).
- Yanzhe Cui & Pengjun Zhao & Ling Li & Juan Li & Mingyuan Gong & Yiling Deng & Zihuang Si & Shuaichen Yan & Xuewei Dang, 2024. "A new model for residential location choice using residential trajectory data," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
- Eliza Szczerek, 2021. "The Problem of Densification of Large-Panel Housing Estates upon the Example of Cracow," Land, MDPI, vol. 10(12), pages 1-23, December.
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Keywords
mixed land use; big data; multi-scale geographically weighted regression; housing price; Beijing;All these keywords.
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