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Open access

Grzegorz Kunikowski

Abstract

Projects of common interest are projects serving the implementation of priority corridors and areas of energy infrastructure, mainly trans-European electricity, gas and oil transmission networks in order to reduce the European Union’s energy dependence. They also help strengthen the energy security of individual countries, including Poland. The article aims at reviewing projects and assessing an impact on domestic markets in the context of the challenges of the fuel and energy sector in Poland. The article is an analytical study, in the “desk research” formula. Research methods used during the elaboration of the research include the analysis of national and EU strategic documents and the subject matter of energy security. In order to evaluate the impact of the implementation of projects of common interest on a variety of supplies of a member country (Poland), an exemplary assessment of the diversification status is presented using Hirschman-Herfindahl concentration index for gas supplies.

Open access

Sindija Balode and Uldis Kamols

Abstract

The research focuses on the rental housing market in Riga and reveals that among factors that affect the rent level in neighbourhoods of Riga the most are distance from the city centre, neighbourhood safety, quality of housing and transport infrastructure, access to shopping malls, and employment opportunities. The aim of the research is to analyse the housing market in Riga, by putting a special focus on price determinants and lesson keys of Helsinki. Quantitative and qualitative research methods are used in the paper with the biggest contribution being extraction and analysis of data about more than 1800 rental apartments in Riga from the largest Latvian online real estate advertisement platform. Quantitative analysis is based on investigating relationships between average rent levels in different neighbourhoods of Riga and index values of 23 urban environment factors. In addition, the rental housing market in Helsinki is researched, emphasising few guidelines for rental housing market improvements in Riga, such as introducing government subsidies.

Open access

Waled Hakami and Awad Hassan

Abstract

The construction industry in Yemen is currently facing challenges associated with rapid development of technology; thus, cost estimation is considered a key factor that should align with this technological advancement. The main problem in the area of preliminary estimate in Yemen is how to make estimate accurately. The aim of this study is to analyse a modern method of preliminary cost estimation in Yemen to prove its efficiency over the traditional method. Therefore, a wide range of literature sources regarding the preliminary estimates using Artificial Neural Network (ANN) as a modern technique is considered. Both qualitative and quantitative approaches were adopted in this study depending on the theoretical premises discussed in literature and the ANN technique, respectively. The independent variables were chosen in the course of literature review. The collected data were classified and processed regarding the ANN constraints and encoded for building and analysis of the ANN model. NeuroSolution 6 software was used to build, train, and test the network as well as to perform sensitivity analysis. In addition, the results of training, testing, and sensitivity analysis were obtained and discussed showing high effectiveness of accurate estimates with less than 1 % error. The ANN model is a more powerful technique for estimating costs in the preliminary stage that should be used in the developing countries instead of the traditional methods.

Open access

Graig Arcuri and Chaoliang Jing

Abstract

This paper provides a description of the community governance paradigm shifts in China over the past 4 decades. By taking a historical review of Chinese tradition in community governance, a brief history of the transformation of property rights in the former Soviet Bloc, plus a theoretical analysis from the perspective of social physics, this study clarifies the inherent logic for the community governance evolution across China. The influence that ancient dynasties, up to 1949, exerted upon the modern community governance has been large, which has formed certain social governance inertia. However, there have emerged many new forms of power among which the homeowners are the strongest group to demand more autonomy. By using a social physics framework, this article sheds light on the ongoing tension between the traditional inertia and the emerging trend of autonomy in real estate. Furthermore, the logic could be employed for predicting the future community governance style in China.

Open access

S.V.S. Raja Prasad

Abstract

Indian real estate segment has been one of the utmost affected segments of economy contemplating the changes in economic policies. The Indian economy experienced a radical change as an outcome of demonetization and the consequences are perceived on the real estate segment. The current study has been proposed to evaluate the efficiency of Indian real estate firms by adopting the technique of data envelopment analysis during the pre- and post-period of demonetization. The aim of the research is to understand the effect of demonetization on the performance of the Indian real estate firms during the post-demonetization period compared to pre-demonetization period. Eight real estate firms have been considered for the analysis. The firms have been ranked on the basis of the efficiency score. It is evident from the results of the study that there is a significant difference between the ranks of the firms during the period of pre and post demonetization; and it can be elucidated that the demonetization has an impact on the performance of the firms.

Open access

Akeem Bolaji Wahab and Kingsley Omaka

Abstract

Of recent, the need to increase the performance of services installations in buildings has been a major point of interest amongst construction professionals through the consideration of commissioning practices required to be adopted during execution of building projects. The aim of the study is to investigate awareness of building professionals on the adoption of building commissioning practices in the installation and use of building services equipment. The study therefore examines the characteristics of building commissioning practices, examines the level of awareness and adoption of building commissioning practices amongst construction professionals in Lagos State, Nigeria, as well as investigates the factors influencing their adoption. A survey method of research was employed with questionnaire administered on construction professionals available on the list of firms of the Federation of Construction Industry (FOCI) registered with the Lagos State Government. The data collected were analysed with the use of statistical tools, such as frequency distribution, mean item score, analysis of variance and factor analysis. The study shows that amongst the characteristics of building commissioning practices, lighting services have the highest level of engagement with a mean score of 4.45, heating, ventilation and air-conditioning 4.15 while vertical transporting services have a mean score of 3.82. A significant proportion of the respondents are aware of building commissioning practices through different professional training courses and practices. The study also shows that there is relationship between the level of awareness and adoption of building commissioning practices at 95 % confidence level. The indicators in group one are found through the factor analysis to be contributing mostly to the adoption of building commissioning practices by the respondents. The study concludes that with the existing level of its awareness in the study area, efforts should be made by stakeholders to entrench building commissioning practices provisions in the country’s institutional framework/regulatory code, which covers the installation and use of service items in building stock so as to further deepen their adoption in order to enhance performance and comfort of building projects.

Open access

Matiwos Tsegaye

Abstract

The construction industry is one of the most important activities that contributes towards the economic growth of any nation. However, the sector has been experiencing problems of cost and time overruns, particularly the problems are significant for the lowest-bid awarded construction projects in the developing countries where inappropriate planning is reported to be one of the major causes. Thus, the paper aims at developing an integrated scheduling approach for construction projects during the planning phase from a project owner’s perspective. The proposed approach integrates cost estimation and schedule in light of practical activity precedence and mathematical cost optimization using different project commencement dates. The study has shown that cost and time optimization model could yield impractical results unless double precedence relations (start-to-start plus finish-to-finish) are imposed between some activities such as trench excavation and pipe laying. It has also demonstrated that the cost and time budgeted during the planning phase would substantially deviate from actual if the planned construction start date slips from the plan, particularly for short period projects. The proposed approach demonstrated in the paper can sufficiently allow planning engineers to develop a comprehensive construction schedule so that the cost and time overruns in the lowest-bid awarded construction projects can be reduced. The paper provides empirical insights into how a robust construction schedule is developed from an owner’s perspective. Cost-time optimization and risk analysis results obtained from manual computation might reduce the reasonable accuracy of the desired cost and schedule integration unless each activity is assigned its own calendar.

Open access

Filiz Ersoz, Taner Ersoz and Muhammet Soydan

Abstract

Construction sector has an important place in Turkey’s economy. Real estate sales for the sector are increasing in parallel. However, the purchase cost is also important for those who are willing to buy a real estate. In the acquisition of real estate, factors such as size, location and age of the house are taken into consideration. The aim of the article is to conduct research on factors affecting real estate values by data mining. In this study, the most important variables that determine the value of the real estate have been investigated by data mining methods. The research has been carried out in Karabük and the variables determined according to the opinions of real estate experts. As classification methods, CHAID and C&RT algorithms have been used. It has been evaluated that both algorithm estimation results can be used. Within the framework of the study, the variables that have the most impact on the unit price have been determined, such as the size of the real estate, the distance to the city centre, the popularity, and the age of the building. The use of advanced technologies, such as statistical modelling and machine learning in real estate valuation and automatic value estimation, is of importance in determining the real value of the real estate.

Open access

Taner Ersoz, Filiz Ersoz and Deniz Merdin

Abstract

Widespread usage of the internet and computers have facilitated a number of human resource management activities such as compensation management, performance management, vocational training and other personnel management affairs across various enterprises. It is known that the employment of a qualified labour force becomes increasingly difficult due to increasing competition conditions. Therefore, it is important to ensure that the right person is recruited for the enterprise and that he/she is attached to his/her employer. Thanks to information technologies, the recruitment process can be implemented more quickly and effectively. The present study aims at determining whether the employer-employee has a sense of trust; whether employee’s performance, disciplinary action, reporting status and significant inconvenience status are taken into account by an enterprise in the iron and steel industry. Logistic regression method is used as an analysis method. The effects of the demographic variables on the dependent variables are also determined. Considering the results obtained, it is observed that the loyalty of the employees to the employer is not very strong, but at the level of improvement, the employees do not consider working at the company for many years.

Open access

Alexander Tsatsulin

Abstract

The forthcoming transfer of St. Isaac’s Cathedral in St. Petersburg being a UNESCO World Heritage Site to the Russian Orthodox Church ignites a heated debate within the Russian society. The cathedral being part of the State Museum Complex stands out as a pearl of the world’s iconic architecture. Furthermore, it is the second most visited museum after the Hermitage, boasts an outstanding exhibition potential, and it regularly hosts church services and ritual events. Museum collections exceed twenty-four thousand items of storage, and they continue to be replenished with found rarities and newly restored objects with the status of a relic to be protected. The aim of the article is to measure the value of the assets of the monument building, assessing the insured value of the object. Uncertainty of the future use of the disputed object, however, allows us to consider the calculation capabilities and methodical tools of valuation activities to measure the market and insurance value of such a real estate object and land plot, for example, in order to practice damage compensation and transfer the object from the balance sheet of one owner to balance of another owner. The latter circumstance determines the main discourse of this study. The present article is devoted to questions of an expert estimation of the insured value of the object of research in the form of St. Isaac’s Cathedral. The article is a continuation of a series of previously published works by the author.