Stuck at home: Housing demand during the COVID-19 pandemic

Gamber, William; Graham, Jessica; Yadav, Anirudh

doi:10.1016/j.jhe.2022.101908

Cited by 32 publications

(7 citation statements)

References 49 publications

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“…World events that have affected global society in recent years have deeply changed social habits and residential needs [43]. The need for small and temporary housing has recently grown as people are oriented to live alone or in direct contact with nature, which has been facilitated by increasingly widespread remote work.…”

Section: Discussionmentioning

confidence: 99%

Configuration Optimization for Sustainable Temporary Houses Employing BIM Procedure

Tirella,

Fabbricatore,

Carpino

et al. 2023

Buildings

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Building information modeling (BIM) is a process for managing the construction information model. The possibility of managing very complex construction orders using information processes has made the work of designers both easier and more productive. In this research, a new process of “assisted design” was implemented for self-assembling temporary houses with high environmental sustainability. The developed procedure allows for the supporting of a nonexpert user in the configuration of housing modules, using the base elements, and assisting them until the energy verification process based on the place of installation. Furthermore, a lifecycle assessment of emissions is made available. This is the result of the interoperability of software enabled by using BIM logic. The proposed work contributes to enriching the range of technical solutions developed to meet the demand for temporary buildings, providing a valid support tool in the design phase, especially when it needs to be completed within a short timeframe. This study introduces a smart configuration procedure that combines aspects of project automation and flexibility with energy efficiency and environmental sustainability needs required for the green transition of building stock.

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Section: Discussionmentioning

confidence: 99%

Configuration Optimization for Sustainable Temporary Houses Employing BIM Procedure

Tirella,

Fabbricatore,

Carpino

et al. 2023

Buildings

View full text Add to dashboard Cite

show abstract

“…The same authors also argue that the increased demand for housing caused by the rise of WFH explains more than half of that growth. In related evidence, Gamber, Graham, and Yadav (2023) show that house price growth is stronger in counties where residents have spent more time at home owing to a more severe incidence of the pandemic.…”

Section: Migration Across Citiesmentioning

confidence: 97%

COVID and Cities, Thus Far

Duranton,

Handbury

2023

EPR

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Key reasons for the existence of cities are the externalities created when people cluster together in close proximity. During the COVID-19 pandemic, such interactions came with health risks and people found other ways to interact. This article documents how cities changed during COVID-19 and considers how the persistence of new ways of interacting, particularly remote work, will shape the development of cities in the future. It first summarizes evidence showing how residential and commercial prices and activity adjusted at different distances from dense city centers during and since the pandemic. The analysis employs a textbook monocentric city model to demonstrate that two adjustments associated with remote work—reduced commuting times and increased housing demand—generate the patterns observed in the data. The authors then consider how these effects might be magnified by changes in urban amenities and agglomeration forces, and what such forces might mean for the future of cities.

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“…SnowNLP is a Python-based natural language processing library used for text analysis, sentiment analysis, and keyword extraction [88]. Its fundamental principle involves employing machine learning algorithms and language models to segment text, perform part-of-speech tagging, and conduct sentiment analysis to determine the emotional tendencies of text, such as positive, negative, or neutral sentiments.…”

Section: Sentiment Semantic Analysis Based On Snownlpmentioning

confidence: 99%

Navigating Post-COVID-19 Social–Spatial Inequity: Unravelling the Nexus between Community Conditions, Social Perception, and Spatial Differentiation

Zhao,

Liu,

Chen

et al. 2024

Land

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The 2023 SDGs report underscores the prolonged disruption of COVID-19 on community living spaces, infrastructure, education, and income equality, exacerbating social and spatial inequality. Against the backdrop of the dual impact of significant events and the emergence of digital technologies, a coherent research trajectory is essential for characterizing social–spatial equity and understanding its influential factors within the urban planning discipline. While prior research emphasized spatial dimensions and mitigated spatial differentiation to ensure urban equity, the complexity of these interconnections necessitates a more comprehensive approach. This study adopts a holistic perspective, focusing on the “social–spatial” dynamics, utilizing social perception (sentiment maps) and spatial differentiation (housing prices index) pre- and post-pandemic to elucidate the interconnected and interactive nature of uneven development at the urban scale. It employs a multi-dimensional methodological framework integrating morphology analysis of housing conditions, GIS analysis of urban amenities, sentiment semantic analysis of public opinion, and multiscale geographically weighted regression (MGWR) analysis of correlation influential factors. Using Suzhou, China, as a pilot study, this research demonstrates how these integrated methods complement each other, exploring how community conditions and resource distribution collectively bolster resilience, thereby maintaining social–spatial equity amidst pandemic disruptions. The findings reveal that uneven resource distribution exacerbates post-pandemic social stratification and spatial differentiation. The proximity of well-maintained ecological environments, such as parks or scenic landmarks, generally exhibits consistency and positive effects on “social–spatial” measurement. Simultaneously, various spatial elements influencing housing prices and social perception show geographic heterogeneity, particularly in areas farther from the central regions of Xiangcheng and Wujiang districts. This study uncovers a bilateral mechanism between social perception and spatial differentiation, aiming to delve into the interdependent relationship between social–spatial equity and built environmental factors. Furthermore, it aspires to provide meaningful references and recommendations for urban planning and regeneration policy formulation in the digital era to sustain social–spatial equity.

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Stuck at home: Housing demand during the COVID-19 pandemic

Cited by 32 publications

References 49 publications

Configuration Optimization for Sustainable Temporary Houses Employing BIM Procedure

Configuration Optimization for Sustainable Temporary Houses Employing BIM Procedure

COVID and Cities, Thus Far

Navigating Post-COVID-19 Social–Spatial Inequity: Unravelling the Nexus between Community Conditions, Social Perception, and Spatial Differentiation

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