While significant global research has been dedicated to value estimation and its influencing factors, which are crucial for the real estate sector, a discernible gap exists in studies examining the ...long-term impact of shoreline modifications, especially those induced by upcoming coastal constructions, on coastal real estate values.
The study was conducted in a coastal region of the Karasu district, Sakarya province. The COPREM-2D numerical model was used to predict shoreline change. A hedonic value model, rooted in semi-logarithmic regression, was developed, yielding value equations for residences, plots, and lands. By creating an integrated model in which the shoreline change numerical model and hedonic value numerical model work together, a value estimation application was made with the integrated model for a selected coastal real estate property. Findings indicate that a property valued at TL 155,994.57 in 2021 is projected to depreciate to TL 35,878.75 b y 2028 due to anticipated submersion from shoreline changes. The study underscores the negative value implications of properties nearing the shoreline and the positive value implications of those distancing from it.
•Assessing the Impact of Coastal Dynamics on Real Estate Values.•A Comprehensive Study on Coastal Erosion, Accretion, and Real Estate.•Modeling the Long-Term Impact of Coastal Structures on Real Estate Values.•Numerical Modeling of Shoreline Changes and Real Estate Values.
In the late 20th century, Doha’s rapid urbanization and globalization led to the loss of housing and the compact, traditional urban fabric in the old city center. The Qatari government and Msheireb ...Properties developed Msheireb Downtown Doha to bring urban living back with a contemporary re-interpretation of the traditional urban fabric and modern life conveniences. Our study's primary objective is to investigate the relationship between urban form and the rental value of residential units, identifying factors that might influence rental asking prices. The paper examines morphological characteristics through field surveys and the real-estate variables such as location, floor area, number of bedrooms/bathrooms, and asking price collected from publicly available real estate websites. The findings indicate that the residential units' layout and adjacent streets' morphological characteristics clearly define specific targeted user groups. Larger residential units target Qatari families via more bedrooms/bathrooms and quieter urban settings, emphasizing Islamic cultural values. Smaller units target ex-pat workers (especially Westerners) using open-plan layouts in more lively urban environments of the development. The price per square meter also increases for residential units closer to the Doha Metro station. The study reiterates the success of compact living for improving urban living in other neighborhoods of old Doha.
A tremendous number of studies have investigated the relation between real estate value and characteristics of the area. This paper briefly shows more than one hundred empirical results from the ...literature, quantifying how much positional factors such as green, social context, pedestrian areas, pollution, aesthetics, views and accessibility influence the property value. We call Positional Value that part of the real estate value given from the characteristics of the area. As an empirical example, an analysis of the city of Turin shows how, changing the area of the city, the value of a house increases/decreases as much as 142% of its own value, ceteris paribus, even among areas quite close to each other. More specifically, the output of this study indicates that the real estate value decreases by 0.23% for each 1% increase of the distance from the city centre, but increases by 0.58% for each 1% increase of the quality of the site. The monetary costs of housing, time and transport, and the qualitative benefits received from the site's characteristics, play a main role within the households' decision processes when choosing among alternative dwellings. On the other way round, the quality of the area is capitalised by the real estate value which may then be seen an indicator of the former.
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•A −0.23% housing value for each +1% distance from the city centre was found.•A +0.58% housing value for each +1% of the quality of the site was found.•17% cheaper housing for each doubling of the city centre distance, ceteris paribus•Property values change up to +143% by changing location within city, ceteris paribus.•The quality of the location is capitalised by the real estate value.
Abstract
This article examines how the disclosure of local gun‐ownership information affects property values. Using the sudden disclosure of a gun‐ownership map in two New York counties, we explore ...how home sellers respond to this exogenous information shock. Our results show that an additional permit holder in the neighborhood leads to a 1% decrease in housing prices after the disclosure. This effect is highly localized in that property values are only negatively impacted by gun‐permit holders within 0.1 mi of the focal property. These findings highlight the negative effect of the disclosure of gun‐ownership information on localized home prices.
Background Hidradenitis suppurativa (HS) is a chronic debilitating disease, whereby school attendance and employment can be disturbed. Objective We sought to determine the socioeconomic status (SES) ...in patients with HS relative to other dermatologic patients, and whether specific clinical HS characteristics correlate with SES. Methods For this multicenter cross-sectional reference study, data were collected from patients with HS and sex- and age-matched dermatologic patients in a 1:2 ratio. SES was derived from the mean household income and real estate value on a neighborhood level. Results The SES distribution among 1018 patients with HS was significantly lower than among 2039 age- and sex-matched dermatologic control patients ( P < .001). In patients with HS a low SES was associated with axillary involvement (odds ratio 1.42, P = .04), high body mass index (odds ratio 1.03, P = .003), and lower age at inclusion (odds ratio 0.98, P = .001), but not with disease severity or age of disease onset. Limitations SES was based on postal code level and causality cannot be determined. Conclusion In the general population, low SES is associated with an unhealthy lifestyle such as smoking and obesity. Therefore, low SES might be a risk factor for developing HS.
Street greenery is a component of urban green infrastructure. By forming foundational green corridors in urban ecological systems, street greenery provides vital ecological, social, and cultural ...functions, and benefits the wellbeing of citizens. However, because of the difficulty of quantifying people’s visual perceptions, the impact of street-visible greenery on housing prices has not been fully studied. Using Beijing, which has a mature real estate market, as an example, this study evaluated 22,331 transactions in 2014 in 2370 private housing estates. We selected 25 variables that were classified into three categories—location, housing, and neighbourhood characteristics—and introduced an index called the horizontal green view index (HGVI) into a hedonic pricing model to measure the value of the visual perception of street greenery in neighbouring residential developments. The results show that (1) Beijing’s homebuyers would like to reside in residential units with a higher HGVI; (2) Beijing’s homebuyers favour larger lakes; and (3) Beijing’s housing prices were impacted by the spatial development patterns of the city centre and multiple business centres. We used computer vision to quantify the street-visible greenery and estimated the economic benefits that the neighbouring visible greenery would have on residential developments in Beijing. This study provides a scientific basis and reference for policy makers and city planners in road greening, and a tool for formulating street greening policy, studying housing price characteristics, and evaluating real estate values.
Appropriate and sustainable management of land is required to the preserve spatial order and the appropriate use of resources. To make quality decisions in space, as well as to actively manage a ...resource, it is crucial to be able to use, among others, credible, up-to-date spatial details, including the cadastral data. The question is, however, whether the data inscribed in the cadastre correspond to reality. Among others, the problem of considerable differences between recorded, cadastral and geodetic area (reflecting actual circumstances) of the parcels can be commonly observed, influencing the procedure of real estate appraisal. This research examines the scale of the problem of unreliability of cadastral data regarding the area of parcels. Based on the example of a middle-sized city, analyses of the scale of the problem and an investigation of the types of properties most commonly involved were conducted. Moreover, an analysis of legal acts in force and those already expired, as well as the literature on the subject was performed to determine the permissible differences in the area between relevant records. The influence of the unreliable cadastral data on the procedure of appraisal of real estates was also investigated.
Our research suggests that firms condition their CSR policies on the availability of economic resources. Using the value of a firm's real estate as a measure of exogenous shocks on the firm's ...economic resources, we show that increases in resources reduce CSR concerns, while decreases in resources increase CSR concerns. The relative impact of resource availability on CSR concerns, however, depends on several organizational variables that influence a firm's preferences for CSR investments. Furthermore, we show that firm reactions to increases and decreases in resources are not symmetric: resource gains reduce CSR concerns, but resource losses increase CSR concerns even more markedly. Overall, these results suggest that firms may treat CSR decisions in much the same way as other investment decisions.
•Firms' CSR behaviors depend on their resources; increases in economic resources reduce CSR concerns and vice-versa.•Financial constraints, governance, political factors, and analyst coverage influence adjustments to CSR concerns.•Firms reduce CSR concerns after resource gains but increase CSR concerns more markedly after resource losses.
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