Data Processing in Risk Evaluation of China’s Old Real Estate

2014 ◽  
Vol 685 ◽  
pp. 727-730
Author(s):  
Jian Ping Yang ◽  
Yan Zhang
Keyword(s):  
Real Estate ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Risk Level ◽  
Key Factors ◽  
Specific Data ◽  
The Real Estate ◽  
Real Estate Project ◽  
Potential Risk Factors

In the recent years, the old real estate has a broad development prospects in the real estate due to the aging of the population and the changes of pension. Because the old real estate project is not mature, so there are many potential risk factors in the process of development. This paper uses the risk matrix evaluation method to build old real estate development risk evaluation model. We take some specific data into the model, then can conclude that project risk assessment level through the calculation of the data.We can find out the key factors in the project development and judge the risk level of the whole project.

Floodwater Utilization Integrated Risk Evaluation Model Based on D-S Evidential Theory

2012 ◽  
Vol 599 ◽  
pp. 787-794
Author(s):  
Yuan Xiang Zhao ◽  
Yan Min Zhang
Keyword(s):  
Decision Making ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Water Environment ◽  
Flood Management ◽  
Water Resources Systems ◽  
Integrated Risk ◽  
Floodwater Utilization ◽  
Risk Evaluation Model

According to more and more serious problems of water scarcity, water pollution and deterioration of water environment in homeland, floodwater utilization becomes an important content in flood management and a critical solution for above problems. However, because of the uncertainty and subjective factor in the hydrology and water resources systems, floodwater utilization is a risk decision-making and the evaluation on the risk reasonably becomes an important decision-making reasoning problem. Traditional risk evaluation method considers uncertainty of things, but has little study on incompleteness of things and uncertainty of human’s subjective decision. An integrated risk evaluation model of floodwater utilization is presented based on D-S theory which can solve these problems successfully and with a case study, some benefit conclusions are provided.

Fuzzy Comprehensive Evaluation of Trading Regulatory Risk for a Unified and Interconnected Electricity Market in China

2014 ◽  
Vol 1070-1072 ◽  
pp. 1486-1490
Author(s):  
Yin Fang ◽  
Zhi Qiang Zhao ◽  
Chun Cheng Gao ◽  
Yong Dai ◽  
Shu Hong Shi
Keyword(s):  
Electricity Market ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
Fuzzy Inference ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Risk Level ◽  
Risk Levels ◽  
Risk Indices ◽  
Evaluation Models

Trading regulatory risk arises prominently in the preliminary formulation of a unified and interconnected electricity market in China. Risk indices, evaluation models and methods as well as index weights are three important aspects of a comprehensive trading regulatory risk evaluation. In this paper, firstly, on the basis of the current electricity market environment in China, systematic trading regulatory risk indices used to quantify the risk level of the unified and interconnected electricity market are established. Secondly, evaluation models and a evaluation method of the trading regulatory risk are developed on the basis of synthesis of fuzzy inference and analytic hierarchy process (AHP). The fuzzy set approach is employed to identify the membership degree of each index to various risk levels, while the AHP is used to acquire the weights of the proposed trading regulatory risk indices. Finally, a simulation based case study on the trading regulatory risk evaluation is presented to illustrate the effectiveness of the proposed indices and the evaluation method.

On the Real Estate Project Cost Management

2011 ◽  
Vol 368-373 ◽  
pp. 1323-1326 ◽  
Author(s):  
Shu Ru Liu ◽  
Min Juan Li
Keyword(s):  
Sustainable Development ◽  
Real Estate ◽  
Cost Management ◽  
Real Estate Industry ◽  
Project Cost ◽  
The Real ◽  
The Real Estate ◽  
Real Estate Project ◽  
Important Means ◽  
Capital Intensive

Real estate Industry is capital-intensive. Cost management is very important for real estate. Efficient cost management is one of important means that can ensure sustainable development of the real estate business. Now, we must find out the efficient cost management means according to analysis the importance of the real estate and the problem exist in it.

scholarly journals Perspective of Developer, Buyer, Financier and Equity Participants in Real Estate Project Development Process in India: An important constituent of Construction Industry

2017 ◽  
Vol 8 (2) ◽  
pp. 932-936
Author(s):  
Alok Singh
Keyword(s):  
Real Estate ◽  
Construction Industry ◽  
Development Process ◽  
Project Development ◽  
The Real ◽  
The Real Estate ◽  
Multiplier Effect ◽  
Real Estate Project ◽  
Real Estate Developers ◽  
Important Constituent

The real estate project development is an important constituent of construction industry. The other important constituent of construction industry is infrastructure development. The construction industry drives and impacts many other industries and has a substantial multiplier effect on various sectors and hence on economic output as well as on employment scenarios. This article discusses multiplier effect of construction industry on few of the  important economic indicators and further focuses on real estate project development process. The real estate project development process starts from land acquisition to sales and marketing. The internal stakeholders in real estate project development process are real estate developers, real estate buyers and the real estate financers. The paper discusses alternatives for real estate developers, the opportunistic schemes for real estate buyers, and the role of portfolio of financing agencies as well as the role of multitudes of equity participants. It also describes about the regulatory institutions active in real estate project development and promotion process. The real estate projects are developed by organized real estate project developer as well as by unorganized real estate project developers or local builders. This article contributes regarding the challenges and opportunities among the real estate buyers, real estate developers, portfolio of financial schemes offered by real estate financers and the opportunities for real estate equity participants.

scholarly journals Bus passenger flow congestion risk evaluation model based on the Pressure-State-Response framework: A case study in Beijing

2019 ◽  
Vol 103 (1) ◽  
pp. 003685041988356 ◽  
Author(s):  
Siyong Ma ◽  
Jiancheng Weng ◽  
Chang Wang ◽  
Dimitrios Alivanistos ◽  
Pengfei Lin
Keyword(s):  
Network Flow ◽  
Risk Evaluation ◽  
Travel Demand ◽  
Evaluation Model ◽  
Risk Identification ◽  
Risk Level ◽  
Transit System ◽  
State Response ◽  
Passenger Flow ◽  
Pressure State

Urban public transport is a very essential mode for urban residents’ commute travel; however, the unbalanced spatial and temporal distribution of travel demand usually leads to passenger flow congestion risk at certain section and time. Meanwhile, the risk is short of quantified description. Based on the Pressure-State-Response framework, the study puts forward three bus passenger flow congestion risk evaluation indexes including the alternative pressure, the congestion intensity, and the transport efficiency. Then, the evaluation model is proposed based on the entropy method, and the risk is divided into four levels by K-means clustering. The article considers the 3rd Ring Road corridor in Beijing as a case to identify the risk level. The results show that the risk in the peak hours of weekdays is generally about 1.5 times higher than the risk in the weekends. The congestion risk is stable in level 3 during the majority time of morning peak hours. The duration intensity of level 4 risk is less than 0.1 during weekdays, indicating that the highest flow congestion can be quickly evacuated in a short time. The integrated passenger risk identification and evaluation model was proposed to identify the passenger flow risk level and induce the network flow distribution more reasonable. The study also provides technical support for ensuring the public transit system safety.

The Analysis of Life Cycle Quality Management in Real Estate Development

2014 ◽  
Vol 644-650 ◽  
pp. 5999-6002
Author(s):  
Heng Sheng Ma ◽  
Feng Gao
Keyword(s):  
Quality Control ◽  
Life Cycle ◽  
Quality Management ◽  
Real Estate ◽  
Real Estate Development ◽  
The Real ◽  
The Real Estate ◽  
Inductive Research ◽  
Key Points ◽  
Real Estate Project

Firstly,summarizes and analyzes the theory of the life cycle,and then inductive research the current real estate project quality management status.Secondly,divide the phases of the life cycle quality in the real estate project were set off.Thirdly,stand in developer's perspective,systemically analyzes the main content of LCP in the real estate project,the key points and the methods of the quality control.

scholarly journals Key Factors Identification and Risk Assessment for the Stability of Deep Surrounding Rock in Coal Roadway

2019 ◽  
Vol 16 (15) ◽  
pp. 2802 ◽  
Author(s):  
Dongmei Huang ◽  
Weijun Li ◽  
Xikun Chang ◽  
Yunliang Tan
Keyword(s):  
Risk Assessment ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Mining Area ◽  
Surrounding Rock ◽  
Risk Level ◽  
Affecting Factors ◽  
Key Factors ◽  
The Stability

In order to evaluate the stability of deep surrounding rock, all of the affecting factors should be theoretically identified. However, some factors have slight impacts on the stability of deep surrounding rock compared with others. To conduct an effective risk assessment, key factors should be first extracted. The analytic hierarchy process (AHP) and grey relation analysis (GRA) methods are integrated to determine the key factors. First, the AHP method is applied to sort the factors by calculating the weights of them. Seven out of fifteen factors are extracted as the key factors, which account for 80% of the weights. Further, the GCA method is used to validate the effects of these key factors by analyzing the correlation between the performance of each factor and that of the reference. Considering the influence of these key factors and experts’ judgements, the multilevel fuzzy comprehensive evaluation method is adopted to obtain the risk level of the deep surrounding rock stability. Finally, the risk assessment of the deep surrounding rock in the E-Zhuang coal mine of Chinese Xinwen Mining Area illustrates the operability of the proposed method.

scholarly journals Fuzzy set-based risk evaluation model for real estate projects

2008 ◽  
Vol 13 (S1) ◽  
pp. 158-164 ◽  
Author(s):  
Yijian Sun ◽  
Rufu Huang ◽  
Dailin Chen ◽  
Hongnan Li
Keyword(s):  
Real Estate ◽  
Fuzzy Set ◽  
Risk Evaluation ◽  
Evaluation Model ◽  
Real Estate Projects ◽  
Risk Evaluation Model

A Study on the Evaluation of China's Real Estate Business Performance — Based on Modified TOPSIS Method

2011 ◽  
Vol 368-373 ◽  
pp. 3093-3097
Author(s):  
Yong Zhou ◽  
Jiang Yan Liu
Keyword(s):  
Real Estate ◽  
Business Performance ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Indicator System ◽  
The Real Estate ◽  
Evaluation Indicator ◽  
System A ◽  
Evaluation Indicator System ◽  
Modified Topsis

This paper starts the study by establishing evaluation indicator system of the real estate company’s performance. After the establishment of the indicator system, a TOPSIS evaluation method for comprehensive evaluation is introduced and also improved by "bucket theory". This new model for performance evaluation of real estate companies is used in this paper and thus will promote the evaluation method in order to become more scientific and rational theory.

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