Quality of urban area, distance from city centre, and housing value. Case study on real estate values in Turin

D'Acci, Luca

doi:10.1016/j.cities.2018.11.008

Cited by 66 publications

(32 citation statements)

References 59 publications

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“…The link between BGI and land markets can be investigated by analysing the flood damage costs avoided ( Grafakos et al, 2019 ) and the social, ecological and economic benefits brought about by BGI, which this paper will refer to as improved urban quality ( D’Acci, 2019 ).…”

Section: Flood Risk Management Blue/green Infrastructure and Land Mamentioning

confidence: 99%

“…Sending areas can be located in close physical proximity to receiving areas, as is the case with some TDR programs in New York ( Giordano, 1987 ; Nelson et al, 2012 ; City of New York - Department of City Planning, 2015 ), or they can be located away from receiving areas, which is usually the case with TDR programs that contribute to conservation of farmland and environmentally sensitive land ( Linkous and Chapin, 2014 ). In the first case, the quality of sending areas, especially in the case of BGI as described in Section 1.2 ( D’Acci, 2019 ) can contribute to the market potential of the receiving area. Hence, it is important to bear in mind that, while the value captured through a TDR program is mainly resulting from zoning regulations, including bonus densities, it could also be a windfall created by the BGI implemented in the 'sending areas'.…”

Section: The Potential For Transferable Development Rights As An Instmentioning

confidence: 99%

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Common value: transferring development rights to make room for water

Dyca

Muldoon‐Smith

Greenhalgh

2020

Environmental Science & Policy

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Highlights Blue/ Green infrastructure for Flood Risk Management has a positive impact on land markets reflected through Damage Costs Avoided and improved urban quality. There is a variety of Land Value Capture that can be used to facilitate access to land and funds for Blue/ Green Infrastructure implementation by capturing incremented land values in and off-site. Transfer of Development Rights instrument used for land conservation provides a new research area for Blue/ Green Infrastructure facilitation. Critical Success Factors for Transfer of Development Rights programs include high demand for bonus development, sustainable receiving areas, TDR Banks, refining market evaluations, TDR facilitation and minimizing transaction costs.

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Section: Flood Risk Management Blue/green Infrastructure and Land Mamentioning

confidence: 99%

Section: The Potential For Transferable Development Rights As An Instmentioning

confidence: 99%

Common value: transferring development rights to make room for water

Dyca

Muldoon‐Smith

Greenhalgh

2020

Environmental Science & Policy

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“…A careful choice of the location based on information about the movement in the given street, neighbourhood or whole town can thus optimize the operation costs of a commercial unit. The permeability of traffic in a street can by itself influence the rent rates of premises on the ground floor by 10% to 30% [28]. However, the perspective could be turned around and the available data could be used to point out the potential of individual areas to increase the value of these areas through adequate interventions in their arrangement.…”

Section: Property Value and Walkability Correlationmentioning

confidence: 99%

Smartphone-Based Sensing: Lifestyle and Mobility Data Interpretation by Smart Cities

Sobková

Jiráèek

Èertický

2020

WIT Transactions on Ecology and the Environment

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The increasing demand for data and smart solutions is one of the fastest growing sectors of human activity. In recent decades smartphones and mobile phones have become a significant and stable source of data. Architects and urban planners have used them in various cases to identify urban patterns. This paper focuses on data gathered by fitness tracker applications which collect information about the movement of their users. The applications record the trajectory of the movement and detect the mode of transport. They require some basic information about the user (age, weight, height and sex) to calculate their caloric consumption. The data from activity tracking smartphone applications create a data lake that can be transformed into a new data source for the designing of healthier and more liveable cities. Combining the data layers and analysing them further could reveal properties and qualities of life in a given location that would not be apparent without processing these data. By analysing the data, we can observe the current state as well as tendencies in human behaviour over longer periods of time. Through the observation and comparison of physical activity in different urban contexts (topography, size of settlement, density of population, density of infrastructure, quality of public spaces, location, etc.), we can develop new alternatives and better knowledge of the influence the above-mentioned factors have on the life in cities. This paper describes data layer combinations that bring novel insights into the connection of physical activity and urban contexts by using data mining technology based on smartphone applications. The theoretical framework can be subsequently applied to various data sets with certain properties.

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“…Compliance with the psychological and social needs, economics logic, strategic objectives and best location variant criteria were chosen. It was done after a practical case study of construction projects and analysis of literature sources, in which the number of bedrooms, bathrooms, outdoor spa, swimming pool, garden, parking spaces, state of repair, architecture style, socioeconomic profile of neighbourhood, energy efficiency, distance [35], situation in the labour market, labour supply cost, amenities and neighbourhood quality [36], appropriative control of the green building project development [37], distance from the city centre and quality of the site [38], structural attributes, accessibility, public and private service amenities [39], city structure and house location [40] and strategy to rent [41], were factors for house pricing and housing strategy development. The goal of the AHP method, its criteria and its alternatives are presented in the Figure 6.…”

Section: The Application Of the Modelmentioning

confidence: 99%

The Modelling of Roof Installation Projects Using Decision Trees and the AHP Method

2019

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In this work, the process of roofing projects' execution is considered. The proper analysis of this process is important to optimise the behaviour of a project's participants and to perform risk evaluation. The main result of this work is methodology, which can be used to optimise a project owner's decisions and potentially can be applied for risk control or integrated into expert systems. This methodology includes the application of a decision tree and AHP (analytic hierarchy process) method to perform the modelling for roof installation project selection. In the proposed approach, a decision tree describes the process with nodes representing the states of a project. The tree includes the decision on whether to sell the project results or not, which requires the estimation of the subjective opinion of the project owner. These subjective values are used in the decision tree leaves. We propose to perform this estimation with the AHP method and describe how to do it in this paper. A particular example was considered. The proposed methodology was applied to that case, and all details of the process and results are provided. Using the proposed methodology, the adapted version of a specific, current situation model of project participants' behaviours can be formed, allowing one to make the most efficient decisions in the light of the existing constraints. The application of results can increase the investor protection and contribute to the general sustainability of investments.

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Quality of urban area, distance from city centre, and housing value. Case study on real estate values in Turin

Cited by 66 publications

References 59 publications

Common value: transferring development rights to make room for water

Common value: transferring development rights to make room for water

Smartphone-Based Sensing: Lifestyle and Mobility Data Interpretation by Smart Cities

The Modelling of Roof Installation Projects Using Decision Trees and the AHP Method

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