scholarly journals Spatial quality determinants for residential building renovation: A methodological approach to the development of spatial quality assessment

Author(s):  
Fernanda Acre ◽  
Annemie Wyckmans
2019 ◽  
Vol 1 (7) ◽  
pp. 100-107
Author(s):  
Yu. Gupanova ◽  
Yu. Chechulin

Based on a critical analysis of existing scientific papers in the field of assessing the quality of customs services and the activities of customs authorities as a whole, the need to develop a methodological approach to a comprehensive assessment of the quality of customs services has been revealed and substantiated. At the same time, an author’s approach to an integrated assessment of the quality of customs services has been proposed, which includes the principles of assessment, assessment directions, the method for calculating the overall integral quality assessment and specific indicators, which can be used to evaluate each of the directions.


2013 ◽  
Vol 869-870 ◽  
pp. 3-13 ◽  
Author(s):  
Maria Rosaria Guarini ◽  
Fabrizio Battisti

The global economic crisis has caused a sharp contraction in many Italian productive sectors, with the construction industry experiencing a decline of about 22% over the last few years (2009-2013). In the residential property market, sale prices for houses have fallen by 40% and rental prices by 30% [. Despite a greater supply of housing at lower prices, there remains a significant demand for low-cost housing from lower-middle-income families, young couples, single-parent families and from non-resident and foreign university students. This is also due to the lack of public resources to create substantial policies to support social housing construction. Social Housing (SH) programmes, with joint financial support from public and private stakeholders, are aimed at responding to the demand for accommodation for rent at social rates, for sale at concessionary prices and/or for rent (with or without redemption) at controlled rates. At the same time, especially in large cities, there is a continuing need to initiate processes for the redevelopment of numerous public and private residential building complexes in brownfield sites that have become functionally obsolete and dilapidated. The implementation of urban and building redevelopment programmes in this situation requires the definition of management models and methods for assessing the financial sustainability of such programmes. This article, based on a contextual analysis of these market segments, outlines a methodological approach, tested on a restructuring proposal for the Corviale (Rome) building-city housing development, to assess the financial sustainability of redevelopment projects on brownfield sites, providing a new range of functions that include housing, student residences and services.


Author(s):  

Methodological approach to the water quality and ecosystem health from the ecological paradigm position has been vindicated. Critical analysis of the currently existing methods of water quality assessment has been performed. It has been shown that biological criteria of the ecosystems’ status diagnostics (in-situ) based on studying of laws of aquatic organisms and communities organization levels variability adequately reflect water quality and ecosystem health. New methodical solutions on hydro/chemical information compression to the unified indicator of the impact doze and vindication of informative biological water quality assessment criteria are depicted. Results of practical testing of the developed methods on a number of water bodies of Russia are presented. The methods are based on revealing of the cause-effect relations that are developed on the basis of doze-effect dependencies between the water quality chemical composition integral indicator and fish physiological status indicators.


Author(s):  
F. Dadras Javan ◽  
F. Samadzadegan ◽  
S. Mehravar ◽  
A. Toosi

Abstract. Nowadays, high-resolution fused satellite imagery is widely used in multiple remote sensing applications. Although the spectral quality of pan-sharpened images plays an important role in many applications, spatial quality becomes more important in numerous cases. The high spatial quality of the fused image is essential for extraction, identification and reconstruction of significant image objects, and will result in producing high-quality large scale maps especially in the urban areas. This paper introduces the most sensitive and effective methods in detecting the spatial distortion of fused images by implementing a number of spatial quality assessment indices that are utilized in the field of remote sensing and image processing. In this regard, in order to recognize the ability of quality assessment indices for detecting the spatial distortion quantity of fused images, input images of the fusion process are affected by some intentional spatial distortions based on non-registration error. The capabilities of the investigated metrics are evaluated on four different fused images derived from Ikonos and WorldView-2 initial images. Achieved results obviously explicate that two methods namely Edge Variance Distortion and the spatial component of QNR metric called Ds are more sensitive and responsive to the imported errors.


Author(s):  
Екатерина Пастушкова ◽  
Ekaterina Pastushkova ◽  
Варвара Фозилова ◽  
Varvara Fozilova

The monograph presents a methodological approach to the formation of food products for the population living in ecologically unfavorable areas. The level of ecological condition of Sverdlovsk region is analyzed, the level of morbidity of the population taking into account influence of technogenic factors is studied. The reduction of the influence of technogenic factors on the level of morbidity of the population and the choice of local medicinal technical raw materials growing in ecologically favorable areas are theoretically justified. The article presents the development of quality assessment and modeling of new tea products, studied consumer properties, the results of the study of antioxidant activity and the dynamics of quality and safety during storage. The monograph is of practical interest for specialists engaged in the field of food industry, commodity science and public catering.


2021 ◽  
pp. 11-31
Author(s):  
Antonio Tomás Mozas-Calvache

This study describes the current state of the art related to the assessment of the positional accuracy of spatial databases based on lines. The use of this type of element of spatial databases has increased in recent years because of the current possibilities of acquisition and sharing data of routes, roads, etc. Nowadays, users are also contributors and this supposes that the spatial quality of data acquired and shared by non-experts must be assessed as is the case with data produced by institutions and enterprises. In this context, several methods based on lines have been developed up to this time for several purposes. This study reviews these methods, analyzing their characteristics, measures, etc. In addition, more than 30 applications of these methods are also summarized. These applications include control of generalized and digitized lines, control of spatial databases, analysis of the displacement of lines between dates, etc


2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
No-Wook Park ◽  
Phaedon C. Kyriakidis

A geostatistical framework for spatial quality assessment framework of coarse resolution remote sensing products is presented that can account for either the scale difference or the uncertainty of reference value prediction at coarse resolutions. A set of multiple reference field realizations is first generated at a fine spatial resolution using geostatistical simulation to explore the uncertainty in the true unknown reference field. The upscaling of multiple reference field realizations to coarse resolution is then followed to match the spatial resolution of the target remote sensing product and create coarse resolution reference fields. The simulated reference values at each coarse pixel are compared to the corresponding reported value from the coarse resolution remote sensing product, yielding alternative error values, from which several location-dependent statistics such as mean error, mean absolute error, and probability of overestimation can be computed. An experiment involving monthly Tropical Rainfall Measuring Mission (TRMM) precipitation products and point-level rain gauge data over South Korea illustrates the applicability of the proposed approach. The spatially distributed error statistics are useful to identify areas with larger errors and the degree of overestimation in the study area, leading to the identification of areas with unreliable estimates within the TRMM precipitation products. Therefore, it is expected that the geostatistical assessment framework presented in this paper can be effectively used to evaluate the spatial quality of coarse resolution remote sensing products.


2021 ◽  
Author(s):  
Bomani Khemet ◽  
Russell Richman

Towards A Methodological Approach to Builder Specific, Preconstruction Airtightness Estimates for LightFramed, Detached, Low-Rise Residential Buildings in Canada Bomani Khemet, Doctor of Philosophy in Civil Engineering, Ryerson University, 2019 This research is an investigation into residential building airtightness. Its purpose is to establish a methodology to predict preconstruction airtightness in Canadian homes. The dissertation presented an analysis of a large, national blower door testing population, numbering over 900,000 low-rise detached homes. The relationship between airtightness and various building factors, such as; insulation levels, building size, and year of construction, is explored. Regressionbased models were found to be highly significant (p<<0.01) and explained up to 48% (R = 0.69, p<<0.01) of whole building airtightness. The national models’ scope was confined to predicting airtightness in existing homes with heterogeneous wall construction. In order to estimate preconstruction airtightness in conventionally constructed homes, a local blower door testing population of nearly 3000 homes was examined. Three builder-specific, geometricbased, temporally independent, multiple linear regression models were developed. Some of these builder-specific models were found to be strong, and explained over 58% (R = 0.79, p<<0.001) of whole building airtightness. A five variable, geometrically based model which controlled for handicraft was found to be very strong, explaining up to 73% (R = 0.87, p<<0.001) of the whole building airtightness. The regression-based analyses on the local population suggests that air leakage is prominent through two building details: the floor-to-wall details, and at the window-to-wall assemblies. An empirically based design of experiments was devised to quantify the impact of air leakage through a floor-to-wall detail. A very strong laboratory-based model explained up to 88% of the air leakage through the floor-to-wall joint (R = 0.95, p<<0.001). A builder-specific, temporally-independent model was combined with the empirically-based, floor-to-wall model to illustrate the applicability of the approach residential building designers. The synthesis of the two models resulted in a novel, whole building, preconstruction airtightness forecasting model. The dissertation demonstrated that airtightness in homes could be estimated with temporally independent, builder-specific, and geometrically-based preconstruction models. The estimation approach spurred models that were stronger in explanatory power, and industrial applicability as compared to previous airtightness models.


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