Aguilar-Velázquez Daniel, Rivera Islas Iván, Romero Tecua Guillermo, Valenzuela-Aguilera Alfonso
Departamento de Ciencias e Ingeniería de la Computación, Escuela Superior de Cómputo, Instituto Politécnico Nacional, Ciudad de México 07738, México.
Facultad de Arquitectura, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos 62209, México.
Proc Natl Acad Sci U S A. 2024 Mar 5;121(10):e2314455121. doi: 10.1073/pnas.2314455121. Epub 2024 Feb 26.
We conducted a spatial and temporal analysis of housing patterns in Mexico City by utilizing an extensive database of 16,000 prices for flats and houses, covering the period from 2000 to 2022. Our findings reveal a striking trend: The average housing prices have quadrupled over a 20-y period, without considering inflation. In contrast, the per capita labor income of Mexican citizens has declined relative to inflation. As a result, the average family encountered four times greater challenges in accessing housing in 2015 as compared to 2005. Furthermore, our research demonstrates that areas that have undergone significant gentrification or super-gentrification contribute to a widespread increase in land value on neighboring zones, leading to the emergence of clusters of highly expensive neighborhoods.
我们利用一个包含16000套公寓和房屋价格的广泛数据库,对墨西哥城的住房模式进行了时空分析,该数据库涵盖了2000年至2022年期间。我们的研究结果揭示了一个惊人的趋势:在不考虑通货膨胀的情况下,平均房价在20年里翻了两番。相比之下,墨西哥公民的人均劳动收入相对于通货膨胀有所下降。因此,与2005年相比,普通家庭在2015年获得住房面临的挑战增加了四倍。此外,我们的研究表明,经历了显著中产阶级化或超级中产阶级化的地区会导致周边地区土地价值普遍上涨,从而出现高价社区集群。