Housing Price Prediction Using Machine Learning Algorithms in COVID-19 Times

Land, Год журнала: 2022, Номер 11(11), С. 2100 - 2100

Опубликована: Ноя. 21, 2022

Machine learning algorithms are being used for multiple real-life applications and in research. As a consequence of digital technology, large structured georeferenced datasets now more widely available, facilitating the use these to analyze identify patterns, as well make predictions that help users decision making. This research aims best machine predict house prices, quantify impact COVID-19 pandemic on prices Spanish city. The methodology addresses phases data preparation, feature engineering, hyperparameter training optimization, model evaluation selection, finally interpretation. Ensemble based boosting (Gradient Boosting Regressor, Extreme Gradient Boosting, Light Machine) bagging (random forest extra-trees regressor) compared with linear regression model. A case study is developed microdata real estate market Alicante (Spain), before after declaration derived from COVID-19, together information other complementary sources such cadastre, socio-demographic economic indicators, satellite images. results show perform better than traditional models because they adapted nonlinearities complex data. Algorithms overfitting problems those have performance lower overfitting. contributes literature by one first studies explore incidence prices.

Язык: Английский

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Learning from COVID-19 for Climate-Ready Urban Transformation

Опубликована: Фев. 17, 2025

Cities have suffered from three years of the COVID-19 pandemic and are increasingly experiencing exacerbated heatwaves, floods, droughts due to climate change. Going forward, cities need address both public health crises effectively while reducing poverty inequity, often in context economic pressure declining levels trust government. The has revealed gaps city readiness for simultaneous responses pandemics change, particularly Global South. However, these concurrent challenges present an opportunity reformulate current urbanization patterns economies dynamics they enable. This Element focuses on understanding COVID-19's impact systems related change mitigation adaptation, vice versa, terms warnings, lessons learned, calls action. title is also available as open access Cambridge Core.

Язык: Английский

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An Assessment Methodology for the Evaluation of the Impacts of the COVID-19 Pandemic on the Italian Housing Market Demand

Buildings, Год журнала: 2021, Номер 11(12), С. 592 - 592

Опубликована: Ноя. 28, 2021

Due to the forced changes that COVID-19 pandemic has had in many aspects of ordinary life (working, social life, training and learning schools etc.), characteristics domestic spaces have significantly modified buying, selling renting decisions real estate market. The aim this research was structure a methodology, articulated into four steps, assess variation occurred residential market demand as result anti-contagion measures, with regard six metropolitan Italian cities. We considered two samples properties for each city, first referencing pre-COVID-19 spread second collected current situation. Consequently, we were able determine variations appreciations through application regressive econometric technique. obtained results highlighted relevance assumed by indoor acoustic thermal comfort property factors, compared condition. proposed methodology could be useful support public private entities involved urban investment decision-making processes, allowing us identify most appreciated factors demand, order improve conditions existing future assets reduce related risk levels.

Язык: Английский

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The Declining Impact of Walkability and Transit Accessibility on U.S. Home Values During the COVID-19 Pandemic

Journal of Housing Research, Год журнала: 2025, Номер unknown, С. 1 - 21

Опубликована: Март 20, 2025

Язык: Английский

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Young workers, jobs-housing balance, and commute distance: Findings from two high-housing-cost U.S. regions

Cities, Год журнала: 2024, Номер 147, С. 104842 - 104842

Опубликована: Фев. 8, 2024

Anecdotal evidence suggests that the affordable housing crisis is forcing households in large, primarily coastal U.S. metropolitan areas to seek lower cost peripheral neighborhoods distant from downtown, helping explain recent increases commute distance. In this study we examine whether relative availability of close proximity jobs (jobs-housing balance) associated with distance young workers (workers under 30), many whom are relatively new labor market. We draw on data two high-cost California, Los Angeles and San Francisco Bay Area. find distances longer for both younger older adults where there more housing. Despite growing state, strength relationship did not change over time either region. However, as might expect, jobs-housing balance strongly Area—where constrained expensive—than Angeles. The findings suggest importance policies greatly enhance areas. They also underscore need go beyond policy efforts significantly increase access employment reduce travel.

Язык: Английский

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COVID-19 and the meaning of home: how the pandemic triggered new thinking on housing

Housing Studies, Год журнала: 2022, Номер 38(1), С. 1 - 7

Опубликована: Дек. 15, 2022

Язык: Английский

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Houston, you have a problem: How large cities accommodate more housing

Real Estate Economics, Год журнала: 2024, Номер 52(4), С. 1045 - 1074

Опубликована: Май 6, 2024

Abstract We document how a select set of large and growing metropolitan areas have accommodated growth in their housing supply over 40 years. In particular, we examine provision has evolved for the largest four statistical (MSAs) California Texas. Despite differences topographies regulatory environments, find several common dynamics. As these MSAs grow, see that fewer new net units are built at periphery smaller share as single‐family detached houses. greater infill locations, more using higher‐density—and costly—multifamily construction techniques. Interestingly, patterns both “pro‐growth” “highly regulated” MSAs. Among all our sample MSAs, also declining Census tracts participate accommodating growth. Our results consistent with existence convex curve. believe this secular trend will pose genuine challenges to many urban policies aimed improving affordability.

Язык: Английский

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Spatial Analysis and Modeling of the Housing Value Changes in the U.S. during the COVID-19 Pandemic

Journal of risk and financial management, Год журнала: 2022, Номер 15(3), С. 139 - 139

Опубликована: Март 15, 2022

COVID-19 has affected almost all sectors of the economy, including real estate markets across different countries in world. A rich body literature emerged analyzing market trends and revealing important information. However, few studies have used a spatial perspective to investigate impact on property values. The main purposes this study are as follows: (1) explore distribution patterns housing price changes during pandemic crisis U.S. (2) model spatially nonstationary relationships between change characteristics. We find that differ space appear associated with case rates. volatility is amplified by uneven some socioeconomic factors. may bring an spillover effect rest economy lead divergence economic growth areas.

Язык: Английский

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The Impact of Covid-19 Pandemic on Value Migration Processes in the Real Estate Sector

Real Estate Management and Valuation, Год журнала: 2023, Номер 31(1), С. 10 - 24

Опубликована: Март 1, 2023

ABSTRACT The COVID-19 pandemic period brings huge uncertainty, especially for the real estate sector. On one hand, restrictions on mobility of a population, decline in travel demands, popularization remote work and education models caused doubts among investors questioning future sector functions estate. other large supply cash after first waves upcoming increase inflation resulted many boldly investing estate, considering them as assets stable value. This research aims to analyze processes value migration companies listed Warsaw Stock Exchange during this turbulent process. We analyzed changes main drivers rates based data 2018, 2019, 2020 Q3 2021. is time collapse profitability factors, sales entire However, financial pillars are we not seeing signs liquidity problems or significant debt. second year reflection most value, often levels higher than those observed before pandemic. Investors seem remain insensitive accounting measures effectiveness. observe relative stability market measures. values from do show when comparing periods various intensities studied phenomena groups segment.

Язык: Английский

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The new normal: changed patterns of dwelling demand and supply

AHURI Final Report, Год журнала: 2023, Номер 399

Опубликована: Май 1, 2023

AHURI's mission is to deliver high quality research that influences policy development and practice change improve the housing urban

Язык: Английский

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