The residential real estate market in Italy: a spatio-temporal analysis

Palma, Monica; Cappello, Claudia; Iaco, Sandra De; Pellegrino, Daniela

doi:10.1007/s11135-018-0768-8

Cited by 8 publications

(5 citation statements)

References 79 publications

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“…Further efforts could focus on expanding data sources such as housing, building permits, and demolition data to establish a deeper and clearer understanding of the dynamics of the housing market. Second, this study only focuses on physical changes, despite the importance of social and economic changes [37,38]. It needs to address the potential for exclusionary displacement and housing affordability problems with urban renewal processes.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Spatio-Temporal Changes of Housing Features in Response to Urban Renewal Initiatives: The Case of Seoul

Yang

2020

Sustainability

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Over the past two decades, Seoul has been in a transitional period in terms of urban renewal approaches. Housing is a fundamental element of citizens’ lives and the built landscape, thus, it deserves thoughtful scrutiny. As such, this study empirically investigates the dynamics of the spatial and temporal characteristics of housing stock within the context of new urban renewal policies in Seoul. A fine-grained and multifaceted analysis shows that the supply of new apartments has decreased over time, revealing that denser housing redevelopment in the inner city has become more difficult. In addition, an exploratory spatial data analysis indicates that although spatial clustering of old housing units has been reduced, new housing units have become more spatially distributed and outwardly dispersed over time. Since the physical and locational changes of housing stock are closely related to urban renewal initiatives, this study suggests that the city government needs to incorporate the concept of sustainable urban growth management into its housing supply and renewal policies.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Spatio-Temporal Changes of Housing Features in Response to Urban Renewal Initiatives: The Case of Seoul

Yang

2020

Sustainability

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“…Performance increase results in large time consumption. Sometimes trade-offs are to be done to achieve the desired outcome [ 16 ].…”

Section: Literature Surveymentioning

confidence: 99%

Classification of Effect on Real Estates in Mumbai During Covid-19

et al. 2022

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At the point when the global pandemic hit, we saw one of the greatest monetary accidents in late history. With crashes in the securities exchange and irregularities in all business sectors and ventures, one thing that never appears to change is the increment in worth of homes. This pandemic had made the land area take a significant misfortune. The sentiment scores of the real estate partners had arrived at an unequalled low score of 31. The crash of the real estate put many companies and brokers into bankruptcy. People stopped investing in real estate while others withdrew any sort of the ongoing investments. The conditions worsened with the second wave. The second wave, unlike the first, had a significantly higher death rate and spread very quickly instilling fear in the minds of the people. This became a factor in the huge economic crash that this pandemic has provided. The government has been desperately looking for measures to come back stronger but have failed. This called for research into this domain and start predictions with various models to help prepare for any foreseeing losses/crashes. Within the past 10 years, the housing market has gotten more and more modest with houses that used to be affordable being valued at absurdly high amounts. This increase in value has seen a reduction in home proprietorship percentage in proportion to populace of the country. Our project aims to project values for real estate in the absence of covid. The difference in values are analyzed and generalized. Furthermore, solutions to improve the current condition will also be given.

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“…Цена объекта недвижимости зависит от цен на окружающие его объекты. Что касается геостатистической модели, Palma применяют геостатистическую модель для анализа пространственно-временной эволюции рынка жилой недвижимости в Италии [39].…”

Section: обсуждение методов и моделейunclassified

Современные Модели Массовой Оценки Недвижимости

Иванова

2022

Сборник Материалов VI Национальной Научно-Практической Конференции "Регулирование Земельно-Имущественных Отношений В России: Пр

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Аннотация. На современном этапе массовая оценка широко применяется во многих странах для различных целей, основной из которых является налогообложение. Цель настоящей работы заключается в проведении систематического обзора моделей массовой оценки, освещенных в работах отечественных и зарубежных исследователей с 2005 по 2022 год. Обзор фокусируется на тенденции применения и классификации методов построения моделей массовой оценки и выделяет три основные группы таких методов: на основе искусственного интеллекта, на основе геоинформационных систем и на основе смешанных методов. Выполнен анализ и сравнение характеристик различных моделей массовой оценки.

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The residential real estate market in Italy: a spatio-temporal analysis

Cited by 8 publications

References 79 publications

Spatio-Temporal Changes of Housing Features in Response to Urban Renewal Initiatives: The Case of Seoul

Spatio-Temporal Changes of Housing Features in Response to Urban Renewal Initiatives: The Case of Seoul

Classification of Effect on Real Estates in Mumbai During Covid-19

Современные Модели Массовой Оценки Недвижимости

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