scholarly journals The formation of a criteria-based approach in the development of projects of redevelopment of industrial real estate

2018 ◽  
Vol 170 ◽  
pp. 01116 ◽  
Author(s):  
Vadim Kankhva ◽  
Boris Orlov ◽  
Alla Vorobyeva ◽  
Svetlana Belyaeva ◽  
Rima Petrosyan

The purpose of this article is the development of management process of redevelopment of industrial real estate, based on the criteria-based approach for accepting the form of development. Developing the proposed approach was feasible due to the study of the efforts of foreign experts and experience of the redevelopment projects in Russia. In addition, the article presents the classification of redevelopment of non-residential property, based on three main criteria’s. The proposed algorithm extends the core taking into account the specifics of the three forms of development of objects of real estate (reconstruction, modernization and redevelopment) and is focused on the development of the industrial estate.

2017 ◽  
Vol 25 (3) ◽  
pp. 30-39
Author(s):  
Agnieszka Szczepańska

Abstract The development of cities is accompanied by growth of the real estate markets within the suburban zone of the municipal urban area. This is the zone functionally related to the core city, where the processes occurring in the property market result primarily from decisions taken by city dwellers concerning the choice of their place of residence. This is reflected in completed transactions, which influence demographic changes. Therefore, the property market becomes a reflection of urbanization processes taking place in this area. The conducted research concerns an analysis of the property market in the suburban zone of Olsztyn of building plots, single-family houses and residential premise segments in the context of demographic changes. The results of the research present the dynamics and directions of development of the suburban zone. The period of research covers the years of 2007-2015, and the spatial scope covers the level of communes and the surveying sections they are composed of (villages).


Author(s):  
Марина Оберемок ◽  
Marina Oberemok ◽  
Андрей Наумов ◽  
Andrey Naumov ◽  
Марина Щенятская ◽  
...  

Some kinds of residential real estate are characterized by a special view from the windows. Apartments with unique characteristics are in high demand among the population, therefore the cost of these objects exceeds the average market price. As a rule, developers try to make the best use of the visual prospects of residential real estate. The paper provides a qualimetric analysis of estimation the view characteristics of apartments in Belgorod based on the demand factors. There is the classification of view components of residential real estate on the basis of urban planning, aesthetic, emotional and other functions. Conclusions on the cost of the view are formed taking into account the criteria of its attractiveness. Functional dependence is obtaine. It allows to determine the surcharge to the cost of residential real estate based on differences in the view. The practical aim of determining the specifics of apartments pricing with a view is the ability to manage demand and to improve the efficiency of residential real estate development.


Author(s):  
KHORKINA G.A. ◽  
◽  
BOGDANOVA Yu.N. ◽  

This paper is based on a study consisting of two semantic blocks. In the first block, the existing tools for increasing effective demand in the market of new buildings in Moscow are considered. The most popular tools for increasing effective demand are identified. The second block provides an overview of the characteristics of real and potential buyers of residential real estate in Moscow. Identifying the characteristics of real buyers is based on data published by analytical and consulting companies, as well as real estate developers. Identification of the characteristics of potential buyers was carried out on the basis of official statistics and information published by the Recruitment Agency. The analysis of the characteristics of buyers was carried out in the context of economic activities, in the context of specialization and qualifications, and the level of wages. The areas of employment, specialties are identified, and the level of wages of a person who is potentially more accessible to purchase housing is estimated. The number of people who, in accordance with the size of their salary, can buy housing in the property is estimated. As a result of the work, the expediency of analyzing the buyer’s portrait (including potential one) on a regular basis is justified in order to implement more flexible regulation of the housing sector, taking into account the needs of city residents and the socio-economic situation.


2019 ◽  
Vol 9 (22) ◽  
pp. 4871 ◽  
Author(s):  
Quan Liu ◽  
Chen Feng ◽  
Zida Song ◽  
Joseph Louis ◽  
Jian Zhou

Earthmoving is an integral civil engineering operation of significance, and tracking its productivity requires the statistics of loads moved by dump trucks. Since current truck loads’ statistics methods are laborious, costly, and limited in application, this paper presents the framework of a novel, automated, non-contact field earthmoving quantity statistics (FEQS) for projects with large earthmoving demands that use uniform and uncovered trucks. The proposed FEQS framework utilizes field surveillance systems and adopts vision-based deep learning for full/empty-load truck classification as the core work. Since convolutional neural network (CNN) and its transfer learning (TL) forms are popular vision-based deep learning models and numerous in type, a comparison study is conducted to test the framework’s core work feasibility and evaluate the performance of different deep learning models in implementation. The comparison study involved 12 CNN or CNN-TL models in full/empty-load truck classification, and the results revealed that while several provided satisfactory performance, the VGG16-FineTune provided the optimal performance. This proved the core work feasibility of the proposed FEQS framework. Further discussion provides model choice suggestions that CNN-TL models are more feasible than CNN prototypes, and models that adopt different TL methods have advantages in either working accuracy or speed for different tasks.


2003 ◽  
Vol 11 (3) ◽  
pp. 279-324
Author(s):  
John Benjamin ◽  
Emily Zietz ◽  
Stacy Sirmans

Author(s):  
Yu-Ru Lin ◽  
Jr-Yi Wang ◽  
Shun-Cheng Chang ◽  
Kwang-Hwa Chang ◽  
Hung-Chou Chen ◽  
...  

Burn injuries cause disability and functional limitations in daily living. In a 2015 fire explosion in Taiwan, 499 young people sustained burn injuries. The construction of an effective and comprehensive rehabilitation program that enables patients to regain their previous function is imperative. The International Classification of Functioning, Disability, and Health (ICF) includes multiple dimensions that can contribute to meeting this goal. An ICF core set was developed in this study for Taiwanese patients with burns. A consensus process using three rounds of the Delphi technique was employed. A multidisciplinary team of 30 experts from various institutions was formed. The questionnaire used in this study comprised 162 ICF second-level categories relevant to burn injuries. A 5-point Likert scale was used, and participants assigned a weight to the effect of each category on daily activities after burns. The consensus among ratings was assessed using Spearman’s ρ and semi-interquartile range indices. The core set for post-acute SCI was developed from categories that attained a mean score of ≥4.0 in the third round of the Delphi exercise. The core ICF set contained 68 categories. Of these, 19 comprised the component of body functions, 5 comprised body structures, 37 comprised activities and participation, and 7 comprised environmental factors. This preliminary core set offers a comprehensive system for disability assessment and verification following burn injury. The core set provides information for effective rehabilitation strategy setting for patients with burns. Further feasibility and validation studies are required in the future.


2018 ◽  
Vol 5 (6) ◽  
pp. 172445 ◽  
Author(s):  
Lorenzo Napolitano ◽  
Evangelos Evangelou ◽  
Emanuele Pugliese ◽  
Paolo Zeppini ◽  
Graham Room

We analyse the autocatalytic structure of technological networks and evaluate its significance for the dynamics of innovation patenting. To this aim, we define a directed network of technological fields based on the International Patents Classification, in which a source node is connected to a receiver node via a link if patenting activity in the source field anticipates patents in the receiver field in the same region more frequently than we would expect at random. We show that the evolution of the technology network is compatible with the presence of a growing autocatalytic structure, i.e. a portion of the network in which technological fields mutually benefit from being connected to one another. We further show that technological fields in the core of the autocatalytic set display greater fitness, i.e. they tend to appear in a greater number of patents, thus suggesting the presence of positive spillovers as well as positive reinforcement. Finally, we observe that core shifts take place whereby different groups of technology fields alternate within the autocatalytic structure; this points to the importance of recombinant innovation taking place between close as well as distant fields of the hierarchical classification of technological fields.


1990 ◽  
Vol 18 (4) ◽  
pp. 530-547 ◽  
Author(s):  
William C. Wheaton ◽  
Raymond G. Torto

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