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Prof. Giuliano Marella
Department of Civil, Environmental and Architectural Engineering, University of Padua, via Venezia 1, 35131 Padova, Italy

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Journal article
Published: 10 December 2019 in Sustainability
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Cost and time overruns in public mega-projects have been widely studied and considered as interdependent factors in the literature on project management and the public economy. On the other hand, small-scale projects for public works (costing under €100 million) are far more common and contribute to transforming cities and territories even more than mega-projects. Is the development of these kinds of projects affected in the same way by overrun issues? Do cost and time overruns always go hand in hand? The present contribution tries to answer these questions by means of an empirical study on a dataset of 4781 small public works planned and built in the Veneto Region (north-east Italy) from 1999 to 2018. Specifically, the analysis refers to the stage of development when the decision is made to outsource the work, that is, after the project’s design and before its construction. Our sample of data is considered both as a whole and clustered by period, cost, contractor and category of work. The results of our analysis and statistical modeling are counterintuitive, suggesting that time overruns do not depend on the cost dimension, whereas norms and regulations play a crucial part in extending the duration of public works. The threshold by law of 1 million € costs implies time-consuming procedures to verify abnormal offers in the bid, that double the average award time from 244 days to 479 days.

ACS Style

Giuliano Marella; Valentina Antoniucci. Time Overrun in Public Works—Evidence from North-East Italy. Sustainability 2019, 11, 7057 .

AMA Style

Giuliano Marella, Valentina Antoniucci. Time Overrun in Public Works—Evidence from North-East Italy. Sustainability. 2019; 11 (24):7057.

Chicago/Turabian Style

Giuliano Marella; Valentina Antoniucci. 2019. "Time Overrun in Public Works—Evidence from North-East Italy." Sustainability 11, no. 24: 7057.

Journal article
Published: 05 December 2019 in Energy and Buildings
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Decarbonizing the building sector by means of the smart interconnection of increasingly efficient buildings is one of the European Union's goals in order to meet its climate and energy targets and a milestone in delivering future positive-energy cities. Energy performance certificates today, and smart readiness indicators tomorrow should positively influence consumers’ choices and orient them towards an appreciation of sustainable buildings. Although energy performance certificates are now required by law in the EU Member States, it remains to be seen whether and how local real estate markets react to them. To fill this gap, we analyzed a cross-sectional housing dataset in the Italian city of Bolzano, which serves as a noteworthy case study due to its compact urban form and the environmental awareness of its local society. We first tested a hedonic price model, and then its spatial specification. Considering the certified energy efficiency performance and the characteristics of the location among the explanatory variables, we found a price premium in excess of 6% on moving from the worst (“G”) to the best (“A”) energy efficiency class, all other characteristics being equal. The presence of a spillover effect to nearby properties can also be framed as an additional co-benefit of retrofitting.

ACS Style

Adriano Bisello; Valentina Antoniucci; Giuliano Marella. Measuring the price premium of energy efficiency: A two-step analysis in the Italian housing market. Energy and Buildings 2019, 208, 109670 .

AMA Style

Adriano Bisello, Valentina Antoniucci, Giuliano Marella. Measuring the price premium of energy efficiency: A two-step analysis in the Italian housing market. Energy and Buildings. 2019; 208 ():109670.

Chicago/Turabian Style

Adriano Bisello; Valentina Antoniucci; Giuliano Marella. 2019. "Measuring the price premium of energy efficiency: A two-step analysis in the Italian housing market." Energy and Buildings 208, no. : 109670.

Data article
Published: 08 March 2018 in Data in Brief
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This paper reports data describing Real Estate (RE) distressed market, focusing on properties foreclosures occurred in North-East Italy. A survey was carried out consulting financial institutions, courts of law and different associations of public notaries. The aim of this survey was to record RE auctions, collecting technical and socio-economic features. The novelties of this survey are mainly two. The first consists in the dataset itself, due to the difficult in collecting such type of data in the Italian scenario. The second one is the recording of socio-economic features related to the occurrence of the survived Re auction. The collected socio-economic characteristics regard housing market trends and performance as well as demographic features. These features could be analyzed in order to relate the performances of this type of distressed market and the surrounding urban context. The database come from an analysis of the authors regarding the discount existing between the Forced Sale Price and the Market value, assessed by appraisers.

ACS Style

Rubina Canesi; Giuliano Marella. Data from RE distressed market: Properties auctions in Italy. Data in Brief 2018, 18, 319 -324.

AMA Style

Rubina Canesi, Giuliano Marella. Data from RE distressed market: Properties auctions in Italy. Data in Brief. 2018; 18 ():319-324.

Chicago/Turabian Style

Rubina Canesi; Giuliano Marella. 2018. "Data from RE distressed market: Properties auctions in Italy." Data in Brief 18, no. : 319-324.

Data article
Published: 15 December 2017 in Data in Brief
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The database presented here was collected by Antoniucci and Marella to analyze the correlation between the housing price gradient and the immigrant population in Italy during 2016. It may also be useful in other statistical analyses, be they on the real estate market or in another branches of social science. The data sample relates to 112 Italian provincial capitals. It provides accurate information on urban structure, and specifically on urban density. The two most significant variables are original indicators constructed from official data sources: the housing price gradient, or the ratio between average prices in the center and suburbs by city; and building density, which is the average number of housing units per residential building. The housing price gradient is calculated for the two residential sub-markets, new-build and existing units, providing an original and detailed sample of the Italian residential market. Rather than average prices, the housing price gradient helps to identify potential divergences in residential market trends. As well as house prices, two other data clusters are considered: socio-economic variables, which provide a framework of each city, in terms of demographic and economic information; and various data on urban structure, which are rarely included in the same database.

ACS Style

Valentina Antoniucci; Giuliano Marella. Housing price gradient and immigrant population: Data from the Italian real estate market. Data in Brief 2017, 16, 794 -798.

AMA Style

Valentina Antoniucci, Giuliano Marella. Housing price gradient and immigrant population: Data from the Italian real estate market. Data in Brief. 2017; 16 ():794-798.

Chicago/Turabian Style

Valentina Antoniucci; Giuliano Marella. 2017. "Housing price gradient and immigrant population: Data from the Italian real estate market." Data in Brief 16, no. : 794-798.

Article
Published: 14 October 2017 in Buildings
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Foreign citizens are a more and more significant part of the population of Italian cities and society (8% of the country’s total population), and they contribute to changes in the cultural, social, and economic structure of the country. Our aim was to assess the incidence of the immigrant population on urban house price polarization, as measured using an original indicator: the center-periphery housing price gradient. While there is ample literature on the relationship between average prices and immigrant populations, less research has been conducted on immigration and the housing price gradient on a national scale. This price gradient may indicate whether immigration contributes to changing the residential market, also possibly revealing segregation phenomena. We ran multivariate regressions in several steps on an original dataset of housing prices and socio-economic factors concerning 112 Italian provincial capitals to elucidate whether immigration is correlated with the housing market divide. Our main findings confirmed that larger immigrant populations coincide with steeper housing price gradients on a national scale. Our tests also demonstrated that the relevance of this phenomenon varies for different urban forms, confirming related to housing price dynamics between the cities of northern and southern Italy the relevance of urban density in elucidating.

ACS Style

Valentina Antoniucci; Giuliano Marella. Immigrants and the City: The Relevance of Immigration on Housing Price Gradient. Buildings 2017, 7, 91 .

AMA Style

Valentina Antoniucci, Giuliano Marella. Immigrants and the City: The Relevance of Immigration on Housing Price Gradient. Buildings. 2017; 7 (4):91.

Chicago/Turabian Style

Valentina Antoniucci; Giuliano Marella. 2017. "Immigrants and the City: The Relevance of Immigration on Housing Price Gradient." Buildings 7, no. 4: 91.

Data article
Published: 09 February 2017 in Data in Brief
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This paper reports data describing development projects for new buildings according to construction costs in North-East Italy. A survey was carried out on local companies undertaking new residential development projects in two Italian regions (Veneto and Lombardy). The aim of this survey was to record new real estate construction projects, collecting both technical and socio-economic cost features. It is extremely difficult to collect such data for the Italian real estate construction sector, due to its lack of transparency, so that the novelty for the Italian scenario is the dataset itself. Another interest perspective of this survey is that socio-economic characteristics were also recorded; they are often studied in urban economics, but are usually related to property purchase prices and values, not to construction costs. The data come from an analysis of Canesi and Marella regarding the relationship between the trend of construction costs and the socio-economic conditions of the reference setting, such as the mean years of schooling of the workforce, housing market trends, and average per capita income.

ACS Style

Rubina Canesi; Giuliano Marella. Residential construction cost: An Italian survey. Data in Brief 2017, 11, 231 -235.

AMA Style

Rubina Canesi, Giuliano Marella. Residential construction cost: An Italian survey. Data in Brief. 2017; 11 ():231-235.

Chicago/Turabian Style

Rubina Canesi; Giuliano Marella. 2017. "Residential construction cost: An Italian survey." Data in Brief 11, no. : 231-235.

Journal article
Published: 01 December 2016 in Land Use Policy
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Since the 1990s, city development has been promoted through densification processes by both localauthorities and private investors in Europe and USA. This trend began in a boom phase of the real-estatemarket, sustained by high market demand and high prices. The aim of the present study is to see howthe market has responded to six years of economic recession in Italy and whether urban form has arelationship with housing market performance. Is urban density still preferable in terms of the economicsustainability of investments? Or has the demand side of the market changed its behaviour? To elucidatethis issue, we perform a multivariate regression and a cluster analysis on housing price variations from2008 to 2014 with a dataset of economic and urban structure variables concerning the 114 most importantItalian cities. The results suggest that housing market in less dense cities is more resilient and affordablethan in denser cities during a recession phase. This phenomenon should be taking into account by localpublic authorities addressing and promoting urban development

ACS Style

Valentina Antoniucci; Giuliano Marella. Small town resilience: Housing market crisis and urban density in Italy. Land Use Policy 2016, 59, 580 -588.

AMA Style

Valentina Antoniucci, Giuliano Marella. Small town resilience: Housing market crisis and urban density in Italy. Land Use Policy. 2016; 59 ():580-588.

Chicago/Turabian Style

Valentina Antoniucci; Giuliano Marella. 2016. "Small town resilience: Housing market crisis and urban density in Italy." Land Use Policy 59, no. : 580-588.

Conference paper
Published: 20 June 2015 in Transactions on Petri Nets and Other Models of Concurrency XV
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The economic problems involved in new high-rise buildings are mainly approached from the developer’s perspective, especially in private-public partnerships, popular in Italian urban planning. Interest in energy savings and sustainability for buildings has recently increased considerably. Italian regulations have generally approached these problems from the viewpoint of materials and structures; zoning regulations do not cover energy from the viewpoint of investment projects and their externalities, either in urban development or from the economic viewpoint. This paper examines the economic problems of energy consumption, with specific reference to tall buildings and high-density areas. Due to their typology of construction, dimensions and complexity, tall buildings may be viewed as urban developments in their own right. In more detail, this paper describes how the energy demand and consumption of single buildings can affect the energy trade-off of entire cities.

ACS Style

Valentina Antoniucci; Chiara D’Alpaos; Giuliano Marella. How Regulation Affects Energy Saving: Smart Grid Innovation in Tall Buildings. Transactions on Petri Nets and Other Models of Concurrency XV 2015, 607 -616.

AMA Style

Valentina Antoniucci, Chiara D’Alpaos, Giuliano Marella. How Regulation Affects Energy Saving: Smart Grid Innovation in Tall Buildings. Transactions on Petri Nets and Other Models of Concurrency XV. 2015; ():607-616.

Chicago/Turabian Style

Valentina Antoniucci; Chiara D’Alpaos; Giuliano Marella. 2015. "How Regulation Affects Energy Saving: Smart Grid Innovation in Tall Buildings." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 607-616.

Conference paper
Published: 13 June 2012 in Proceedings of the 19th Annual European Real Estate Society Conference - Edinburgh, Scotland
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ACS Style

Peter De Jong; Chiara D'alpaos; Giuliano Marella; Stephen Roulac. Dutch high rise ability after a downtime. Proceedings of the 19th Annual European Real Estate Society Conference - Edinburgh, Scotland 2012, 1 .

AMA Style

Peter De Jong, Chiara D'alpaos, Giuliano Marella, Stephen Roulac. Dutch high rise ability after a downtime. Proceedings of the 19th Annual European Real Estate Society Conference - Edinburgh, Scotland. 2012; ():1.

Chicago/Turabian Style

Peter De Jong; Chiara D'alpaos; Giuliano Marella; Stephen Roulac. 2012. "Dutch high rise ability after a downtime." Proceedings of the 19th Annual European Real Estate Society Conference - Edinburgh, Scotland , no. : 1.