Spatial Correlation Analysis Among Land Values, Income Levels and Population Density

Bencardino, Massimiliano; Nestıcò, Antonio

doi:10.1007/978-3-319-92099-3_64

Cited by 9 publications

(5 citation statements)

References 16 publications

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“…According to the dependent variable, all the independent ones are related to this year. The socioeconomic features represent mostly the spending capacity of households and the wealthy of the cities and territories, in general (Bianco et al 2013;Nesticò et al 2018;Bencardino and Nesticò 2019). Employment rates and GDPs are available only at the provincial and regional levels, while per capita income is at the urban scale (Del Giudice et al 2019a).…”

Section: Methodology and Sample Datamentioning

confidence: 99%

“…We adopt traditional variables such as population density to describe cities' morphologies (Burton 2002;Del Giudice et al 2019b), and also recently added indicators related to the built environment already tested in Italy (Antoniucci and Marella 2016;Bisello et al 2020). Moreover, we test our analysis with economic variables relevant to the energy consumption, according to the existing literature on the topic (Bianco et al 2013;Giuffrida et al 2018;Bencardino and Nesticò 2019), and we add other variables helpful in defining the consumption of residential building stock. We also decided not to include in the model any variable or proxy related to space heating (e.g., natural gas, biomass, or liquefied petroleum gas consumption).…”

Section: Introductionmentioning

confidence: 99%

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Urban Density and Household-Electricity Consumption: An Analysis of the Italian Residential Building Stock

Antoniucci

Bisello

Marella

2021

Smart and Sustainable Planning for Cities and Regions

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The influence of urban density on household electricity consumption is still scarcely investigated, despite the growing attention to building energy performance and the electrification of heating systems advocated at the European level. While the positive correlation between urban sprawl developments and the increasing of marginal costs of public infrastructures, services, amenities, public, and private transports are known, there has been little research on the relationship between urban form and electricity consumption in residential building stock. The present work aims to contribute to filling the gap in the existing literature, presenting the early results of ongoing research on the role of urban form in the household electricity consumption in Italy and, consequently, the related energy costs. The building typology and, in general, the structure of urban dwellings, is crucial to forecasting the electricity requirements, taking into account single housing units and their spatial composition in multi-family homes and neighborhoods. After a brief literature review on the topic, the contribution presents empirical research on the electricity consumption at the municipal level in 140 Italian cities, analyzing the diverse consumption patterns under different conditions of urban density to verify whether there exists a significant statistical correlation between them. The analysis confirms that there is a statistically negative correlation between urban density and the log of electricity consumption, even if its incidence is very limited. Further investigation may highlight whether there exists a threshold for which this relationship would be reversed, explaining the higher electricity consumption in dense metropolitan areas.

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Section: Methodology and Sample Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Urban Density and Household-Electricity Consumption: An Analysis of the Italian Residential Building Stock

Antoniucci

Bisello

Marella

2021

Smart and Sustainable Planning for Cities and Regions

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Section: Methodology and Sample Datamentioning

confidence: 99%

Smart and Sustainable Planning for Cities and Regions

2021

Green Energy and Technology

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Climate change, environmental impact and the limited natural resources urge scientific research and novel technical solutions. The monograph series Green Energy and Technology serves as a publishing platform for scientific and technological approaches to "green"-i.e. environmentally friendly and sustainable-technologies. While a focus lies on energy and power supply, it also covers "green" solutions in industrial engineering and engineering design. Green Energy and Technology addresses researchers, advanced students, technical consultants as well as decision makers in industries and politics. Hence, the level of presentation spans from instructional to highly technical.

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“…The detection of changes in land use and land cover, based on remote sensing data [11] or cadastral data, and their spatial correlation with market values have been used to analyze the evolution of urban sprawl and its impact on land value and agricultural potential [99,100] or to optimize land resources and facilitate the estimation of urban industrial property values [101].…”

Section: Mathematical Appraisal Modelsmentioning

confidence: 99%

A Comprehensive Overview Regarding the Impact of GIS on Property Valuation

Droj,

Kwartnik-Pruc,

Droj

2024

IJGI

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In the face of pressing global challenges such as climate change, socioeconomic inequalities, and rapid urbanization, ensuring sustainable development in the regions has become essential. The COVID-19 pandemic has highlighted how vulnerable cities are to unforeseen crises and underscored the urgent need for proactive urban planning strategies capable of navigating dynamic and unpredictable futures. In this context, the use of geographic information systems (GIS) offers researchers and decision makers a distinct advantage in the study of spatial data and enables the comprehensive study of spatial and temporal patterns in various disciplines, including real estate valuation. Central to the integration of modern technology into real estate valuation is the need to mitigate the inherent subjectivity of traditional valuation methods while increasing efficiency through the use of mass appraisal techniques. This study draws on extensive academic literature comprising 103 research articles published between 1993 and January 2024 to shed light on the multifaceted application of GISs in real estate valuation. In particular, three main areas are addressed: (1) hedonic models, (2) artificial intelligence (AI), and mathematical appraisal models. This synthesis emphasizes the interdependence of numerous societal challenges and highlights the need for interdisciplinary collaboration to address them effectively. In addition, this study provides a repertoire of methodologies that underscores the potential of advanced technologies, including artificial intelligence, GISs, and satellite imagery, to improve the subjectivity of traditional valuation approaches and thereby promote greater accuracy and productivity in real estate valuation. By integrating GISs into real estate valuation methodologies, stakeholders can navigate the complexity of urban landscapes with greater precision and promote equitable valuation practices that are conducive to sustainable urban development.

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Spatial Correlation Analysis Among Land Values, Income Levels and Population Density

Cited by 9 publications

References 16 publications

Urban Density and Household-Electricity Consumption: An Analysis of the Italian Residential Building Stock

Urban Density and Household-Electricity Consumption: An Analysis of the Italian Residential Building Stock

Smart and Sustainable Planning for Cities and Regions

A Comprehensive Overview Regarding the Impact of GIS on Property Valuation

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