scholarly journals Exploring Critical Variables That Affect the Policy Risk Level of Industrial Heritage Projects in China

2019 ◽  
Vol 11 (23) ◽  
pp. 6848 ◽  
Author(s):  
Ping Guo ◽  
Huimin Li ◽  
Guangmin Zhang ◽  
Yang Zhang
Keyword(s):  
Risk Factors ◽  
Rapid Development ◽  
Project Managers ◽  
Assessment Model ◽  
Risk Level ◽  
Local Market ◽  
Industrial Heritage ◽  
Market Experience ◽  
Confirmatory Factor ◽  
Policy Risk

With the rapid development of the transformation and urbanization of Chinese social structures, more and more industrial heritage renewal projects are emerging. However, there are significant policy risks associated with Chinese industrial heritage renewal projects. Through a literature review, a total of 20 policy risk factors were determined, and a total of 10 industrial heritage renewal project managers in six regions nationwide conducted a pilot study. A questionnaire survey was conducted to collect 398 evaluations of these 20 risk factors from relevant professionals. Secondly, through confirmatory factor analysis, a six-part policy risk assessment model was established. The results indicated that the critical variables that affect the policy risk level were: (1) industry maturity, (2) tax policy, (3) financial freedom, (4) the rule of law, (5) local market size, and (6) local market experience. Moreover, there are significant opportunities and policy risks in Chinese industrial heritage renewal projects, and appropriate strategies can capture these opportunities and mitigate risks. As there are few pieces of research on the policy risks of industrial heritage renewal projects in China, this study has a certain reference significance for the policy risk management of industrial heritage renewal projects in China.

Development of an E-Healthcare Information Security Risk Assessment Method

2013 ◽  
Vol 24 (1) ◽  
pp. 36-57 ◽  
Author(s):  
June Wei ◽  
Binshan Lin ◽  
Meiga Loho-Noya
Keyword(s):  
Risk Factors ◽  
Information Security ◽  
Information Flow ◽  
Assessment Method ◽  
Assessment Model ◽  
Risk Level ◽  
Security Risk ◽  
Security Risks ◽  
Healthcare Information ◽  
Information Security Risk

This paper developed a method to assess information security risks in e-healthcare. Specifically, it first developed a static E-Healthcare Information Security Risk (EHISR) model to present thirty-three security risk factors by identifying information security threats and their sources in e-healthcare. Second, a dynamic E-Healthcare Information Flow (EHIF) model was developed to logically link these information risk factors in the EHISR model. Pattern analysis showed that information security risks could be classified into two levels, and versatility analysis showed that the overall security risks for eight information flows were close with a range from 55% to 86%. Third, one quantifiable approach based on a relative-weighted assessment model was developed to demonstrate how to assess the information security risks in e-healthcare. This quantitative security risk measurement establishes a reference point for assessing e-healthcare security risks and assists managers in selecting a reliable information flow infrastructure with a lower security risk level.

scholarly journals Investment Risk Assessment of Dispersed Wind Power in Low Wind Speed Area Using a Hybrid Multi-Criteria Decision-Making Approach Based on Hesitant Fuzzy Linguistic Environment

2020 ◽  
Vol 2020 ◽  
pp. 1-23
Author(s):  
Lingyun Liu ◽  
Jianli Zhou ◽  
Haoxin Dong ◽  
Yao Tao ◽  
Yunna Wu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Decision Making ◽  
Wind Speed ◽  
Risk Analysis ◽  
Wind Power ◽  
Assessment Model ◽  
Risk Level ◽  
Low Wind Speed ◽  
Fuzzy Linguistic

Reducing the phenomenon of wind curtailment is essential to improve the level of wind power consumption. Wind power development in China has shifted to southeast region and dispersed wind power has developed rapidly and gradually become the new main force. However, various obstacles limit the smooth progress of dispersed wind power in low wind speed area. An important point is the absence of targeted risk analysis and evaluation methods. Therefore, the principal contribution of this paper is to find out the critical risk factors of such projects and propose the risk assessment model. First, 18 critical risk factors are identified using the constructed five-dimensional risk analysis model. Second, the hesitant fuzzy linguistic term set with credibility is utilized to collect evaluation information on one hand and to improve the multicriteria decision-making methods involved on the other hand. Third, the risk evaluation and ranking for 10 provinces that mainly develop dispersed wind power is carried out. The evaluation results indicate that the risk level of dispersed wind power projects is “Relatively Low” in most study provinces and the risk levels of Guangdong and Fujian are higher. It is worth noting that the consistency between the evaluation results and the distribution of wind resources can be used to guide the formulation of stimulus policies. Besides, the ranking results show some preference for investment choice. Finally, dual sensitivity analysis tests the stability of the model and shows the ranking results under different decision preferences. Scenario analysis gives the possible risk scenarios and evaluation results in the future. This study can provide insightful inspiration to wind power investors, risk management practitioners, and policymakers.

scholarly journals Risk Identification and Assessment during the Excavation of the Deep Foundation Pit

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Guowang Meng ◽  
Xiang Li ◽  
Hao Liu ◽  
Bo Wu ◽  
Yi Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Decision Making ◽  
Assessment Model ◽  
Risk Level ◽  
Fuzzy Decision Making ◽  
Entropy Weight ◽  
Deep Foundation ◽  
Foundation Pit ◽  
Entropy Weight Method ◽  
Weight Method

This study presents a new model for identifying and evaluating high-risk factors in foundation pit excavation. The model combines the fuzzy decision-making trial and the evaluation laboratory (FDEMATEL), the entropy weight method, and the multiattributive border approximation area comparison (MABAC) method. Firstly, the risk factors such as geology, surrounding environment, monitoring, construction, and management are studied in detail. Secondly, the subjective weight is calculated by the fuzzy DEMATEL method, and the objective weight is calculated by the entropy weight method. Then, the MABAC method is introduced to identify the key risk factors of the foundation pit and the risk level of foundation pit construction. Finally, Jinan Rail Transit R2 Line Kaiyuan Road Station is used as a case study for analysis based on the risk assessment model. The results show that the model can identify key risk factors in different construction stages of foundation pits, which can provide guidance for risk management decision-making.

Risk Assessment of Wind Power Investment Project Based on Matter- Element Extension Model

2015 ◽  
Vol 8 (1) ◽  
pp. 52-57 ◽  
Author(s):  
Jinying Li ◽  
Panjuan Li
Keyword(s):  
Risk Factors ◽  
Wind Power ◽  
Investment Project ◽  
Risk Level ◽  
Control Plan ◽  
Assessment Index ◽  
Extension Model ◽  
Construction Risk ◽  
Quantification Analysis ◽  
Policy Risk

The prospect of China’s wind power industry is bright, but from the angle of investment, investment amount, operation and maintenance costs of wind power project are relatively high, at the same time, it is facing high policy risk and environment risk. Therefore, we should consider all kinds of risk factors to make appropriate risk management and control plan. Based on this, the paper analyzes the risk factors including risk of planning and construction, risk of finance and market, risk of management and operation, risk of environment and resources. And an assessment index system is obtained which can be applied to evaluate the risk level. Furthermore, the model of Matter-Element Extension is applied to quantify the risk of the project. Integrating the methods of the qualitative and quantification analysis, then it proposes a reasonable assessment about the risk factors of the project of wind power. Finally, it proves the methods and the model through the case of the project of wind Power. The results could help us improve the level of the management of the project of wind power, and bring down the risk of the project.

Injury prevention knowledge, beliefs and strategies in elite female footballers at the FIFA Women’s World Cup France 2019

2021 ◽  
pp. bjsports-2020-103131
Author(s):  
Celeste Geertsema ◽  
Liesel Geertsema ◽  
Abdulaziz Farooq ◽  
Joar Harøy ◽  
Chelsea Oester ◽  
...  
Keyword(s):  
Risk Factors ◽  
Injury Prevention ◽  
Injury Risk ◽  
Risk Level ◽  
Attitudes And Beliefs ◽  
Implementation Barriers ◽  
World Cup ◽  
Positive Attitudes ◽  
High Level ◽  
Women's Football

ObjectivesThis study assessed knowledge, beliefs and practices of elite female footballers regarding injury prevention.MethodsA survey was sent to players participating in the FIFA Women’s World Cup France 2019. Questions covered three injury prevention domains: (1) knowledge; (2) attitudes and beliefs; (3) prevention practices in domestic clubs. Additionally, ACL injury history was assessed.ResultsOut of 552 players, 196 women responded (35.5%). More than 80% of these considered injury risk to be moderate or high. Players listed knee, ankle, thigh, head and groin as the most important injuries in women’s football. The most important risk factors identified were low muscle strength, followed by poor pitch quality, playing on artificial turf, too much training, reduced recovery and hard tackles. In these elite players, 15% did not have any permanent medical staff in their domestic clubs, yet more than 75% had received injury prevention advice and more than 80% performed injury prevention exercises in their clubs. Players identified the two most important implementation barriers as player motivation and coach attitude. Two-thirds of players used the FIFA 11+ programme in their clubs.ConclusionsThis diverse group of elite players demonstrated good knowledge of risk level and injury types in women’s football. Of the risk factors emphasised by players, there was only one intrinsic risk factor (strength), but several factors out of their control (pitch quality and type, training volume and hard tackles). Still players had positive attitudes and beliefs regarding injury prevention exercises and indicated a high level of implementation, despite a lack of medical support.

scholarly journals Pb Content, Risk Level and Primary-Source Apportionment in Wheat and Rice Grains in the Lihe River Watershed, Taihu Region, Eastern China

2021 ◽  
Vol 18 (12) ◽  
pp. 6256
Author(s):  
Lian Chen ◽  
Shenglu Zhou ◽  
Qiong Yang ◽  
Qingrong Li ◽  
Dongxu Xing ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Source Apportionment ◽  
Health Risk Assessment ◽  
Eastern China ◽  
Assessment Model ◽  
Primary Sources ◽  
Risk Level ◽  
River Watershed ◽  
Rice Grains

This study detailed a complete research from Lead (Pb) content level to ecological and health risk to direct- and primary-sources apportionment arising from wheat and rice grains, in the Lihe River Watershed of the Taihu region, East China. Ecological and health risk assessment were based on the pollution index and US Environmental Protection Agency (EPA) health risk assessment model. A three-stage quantitative analysis program based on Pb isotope analysis to determine the relative contributions of primary sources involving (1) direct-source apportionment in grains with a two-end-member model, (2) apportionment of soil and dustfall sources using the IsoSource model, and (3) the integration of results of (1) and (2) was notedly first proposed. The results indicated that mean contents of Pb in wheat and rice grains were 0.54 and 0.45 mg/kg and both the bio-concentration factors (BCF) were <<1; the ecological risk pollution indices were 1.35 for wheat grains and 1.11 for rice grains; hazard quotient (HQ) values for adult and child indicating health risks through ingestion of grains were all <1; Coal-fired industrial sources account for up to 60% of Pb in the grains. This study provides insights into the management of grain Pb pollution and a new method for its source apportionment.

Inter-observer reliability of a risk assessment model for venous thromboembolism in acutely-ill medical hospitalized patients: Results from a prospective cohort study

2021 ◽  
pp. 026835552110212
Author(s):  
Cassia RL Ferreira ◽  
Marcos de Bastos ◽  
Mirella L Diniz ◽  
Renan A Mancini ◽  
Yan S Raposo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Venous Thromboembolism ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Risk Classification ◽  
Assessment Model ◽  
Kappa Statistics ◽  
Medical Patients ◽  
Observer Reliability

Objectives To analyze the inter-observer reliability of risk for venous thromboembolism (VTE) in a population of adult acutely-ill medical patients. Methods In this prospective cohort study, we collected risk factors and risk classification for VTE using RAM IMPROVE7. Kappa statistics was used to evaluate inter-observer reliability between lead clinicians and trained researchers. We evaluated occurrence of VTE in patients with mismatched classification. Results We included 2,380 patients, median age 70 years (interquartile range [IQR], 58-79), 56.2% female. Adjusted Kappa for VTE risk factors ranged from substantial (0.64, 95% confidence interval [CI], 0.61-0.67) for “immobilization”, to almost perfect (0.98; 95% CI 0.97-0.99) for “thrombophilia”; risk classification was 0.64 (95% CI 0.60-0.67). Divergent risk classification occurred in 434 patients (18.2%) of whom seven (1.6%) developed VTE. Conclusion Despite substantial to almost perfect reliability between observers for risk factors and risk classification, lead clinicians tended to underestimate the risk for VTE.

scholarly journals Risk score to stratify miscarriage risk levels in preconception women

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xin Hui Choo ◽  
Chee Wai Ku ◽  
Yin Bun Cheung ◽  
Keith M. Godfrey ◽  
Yap-Seng Chong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Score ◽  
Smoking Status ◽  
Characteristic Curve ◽  
Lifestyle Changes ◽  
Risk Scores ◽  
Risk Level ◽  
Multivariable Logistic Regression Model ◽  
Spontaneous Miscarriage ◽  
Risk Levels

AbstractSpontaneous miscarriage is one of the most common complications of pregnancy. Even though some risk factors are well documented, there is a paucity of risk scoring tools during preconception. In the S-PRESTO cohort study, Asian women attempting to conceive, aged 18-45 years, were recruited. Multivariable logistic regression model coefficients were used to determine risk estimates for age, ethnicity, history of pregnancy loss, body mass index, smoking status, alcohol intake and dietary supplement intake; from these we derived a risk score ranging from 0 to 17. Miscarriage before 16 weeks of gestation, determined clinically or via ultrasound. Among 465 included women, 59 had miscarriages and 406 had pregnancy ≥ 16 weeks of gestation. Higher rates of miscarriage were observed at higher risk scores (5.3% at score ≤ 3, 17.0% at score 4–6, 40.0% at score 7–8 and 46.2% at score ≥ 9). Women with scores ≤ 3 were defined as low-risk level (< 10% miscarriage); scores 4–6 as intermediate-risk level (10% to < 40% miscarriage); scores ≥ 7 as high-risk level (≥ 40% miscarriage). The risk score yielded an area under the receiver-operating-characteristic curve of 0.74 (95% confidence interval 0.67, 0.81; p < 0.001). This novel scoring tool allows women to self-evaluate their miscarriage risk level, which facilitates lifestyle changes to optimize modifiable risk factors in the preconception period and reduces risk of spontaneous miscarriage.

AB0809 PADUA PREDICTION SCORE COMBINED WITH SERUM ALBUMIN FOR THE IDENTIFICATION OF VENOUS THROMBOEMBOLISM OF HOSPITALIZED PATIENTS IN THE DEPARTMENT OF RHEUMATOLOGY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1429.1-1429
Author(s):  
Q. Peng ◽  
L. Long ◽  
J. Liu
Keyword(s):  
Risk Factors ◽  
Venous Thromboembolism ◽  
Serum Albumin ◽  
Risk Group ◽  
Assessment Model ◽  
Prediction Score ◽  
Risk Assessment Model ◽  
Systemic Autoimmune Diseases ◽  
Independent Risk Factors ◽  
The Difference

Background:Venous thromboembolism (VTE) includes thrombotic disease of venous system, but primarily includes lower extremity deep vein thrombosis (DVT) and pulmonary embolism (PE). Population-based epidemiological studies have shown an association between systemic autoimmune diseases and VTE[1]. The Padua prediction score(PPS) is a new 20-point risk assessment model proposed by Professor Barbar et al[2] in 2010. A large number of researches have shown that low serum albumin concentration is associated with an increased risk of VTE [3],but there is a lack of studies on serum albumin in VTE, and there are no reports on PPS in rheumatology inpatients.Objectives:To investigate the status of VTE in patients in the department of rheumatology, and to explore the value of PPS combined with serum albumin in the identification of VTE in this patient population.Methods:Baseline data of inpatients in rheumatology department were collected at Sichuan Provincial People’s Hospital from September 2018 to September 2020. Occurrence of VTE was compared between high and low risk groups. PPSs were analyzed in VTE and non-VTE patients. Multivariate logistic regression was used to analyze the independent risk factors of VTE. The receiver operating characteristic curve was used to evaluate the probablity of value of rheumatic inpatients with VTE assessed by PPS,serum albumin and PPS with serum albumin. P<0.05 indicates that the difference was statistically significant.Results:A total of 2282 patients were included in this study, and 50(2.2%) had symptomatic VTE. Among the symptomatic VTE cases,38(1.6%) had DVT only,8(0.4%) had PE only, and 4(0.2%) were diagnosed with DVT and PE. PPSs in VTE and non-VTE groups were 3.00(2.00~6.00) and2.00(1.00~2.00) respectively (P< 0.05). One hundred and eighty-eight cases was divided into high-risk group of VTE (PPS≥4), while 2094 cases (PPS<4) were in the low-risk group. Logistic regression analysis showed that known thrombophilic condition, history of VTE, reduced mobility, and D-dimer were independent risk factors of VTE in rheumatology patients, the odd ration(OR) values were 161.90, 26.08, 8.73,and1.04. Serum albumin was the independent protection factor [OR= 0.92(95%CI:0.87~0.98)]. The AUC of PPS model, serum albumin model and the combined predictive model were 0.77, 0.75, 0.84, respectively. The difference between the combined prediction model and PPS model was statistically significant (Z=3.813, P<0.05). The optimal sensitivity of PPS and serum albumin models is 60%, 82%, respectively, and the optimal specificity of is 82.5%,58.6%, respectively. The combination model corresponds to a sensitivity of 62% and a specificity of 90.4%.Conclusion:The incidence of symptomatic VTE was relatively higher in hospitalized patients in rheumatology department. Serum albumin was the protective factor. The combination of albumin and PPS can improve the accuracy of screening for VTE in rheumatology in-patients.References:[1]Tamaki H,Khasnis A.Venous thromboembolism in systemic autoimmune diseases: A narrative review with emphasis on primary systemic vasculitides.[J].Vasc Med, 2015, 20: 369-76.[2]Barbar S, Noventa F, Rossetto V,et al. A risk assessment model for the identification of hospitalized medical patients at risk for venous thromboembolism: the Padua Prediction Score[J]. J Thromb Haemost,2010,8(11):2450–2457.[3]Kunutsor SK,Seidu S,Katechia DT et al. Inverse association between serum albumin and future risk of venous thromboembolism: interrelationship with high sensitivity C-reactive protein.[J].Ann Med, 2018, 50: 240-248.Disclosure of Interests:None declared

Analysing project risks in Ghana’s real estate industry

2018 ◽  
Vol 16 (4) ◽  
pp. 413-428
Author(s):  
Charles Amoatey ◽  
Doreen Danquah
Keyword(s):  
Risk Factors ◽  
Real Estate ◽  
Construction Industry ◽  
Project Managers ◽  
Environmental Risks ◽  
Real Estate Industry ◽  
Content Type ◽  
Market Risks ◽  
Project Risks ◽  
Technical Risks

Purpose The purpose of this paper is to analyse project risks in Ghana’s real estate construction industry in terms of likelihood of occurrence, severity of impact and controllability. Design/methodology/approach A quantitative research approach was used in this study to address the research objective. The study population consisted project managers, architects, surveyors and contractors from 17 members of the Ghana Real Estate Developers Association (GREDA) in Ghana. Random stratified sampling technique was used to select 97 participants from these firms. A structured questionnaire was used to collect primary data, whereas descriptive statistics were used to present findings. Findings All risks identified have some level of likelihood of occurrence, extent of severity of impact and controllability. Market risks, technical risks and environmental risks are more likely to occur. Market risks, technical risks and environmental risks had the highest severity of impact. Financial risks, market risks, managerial risks and technical risks are the most controllable. Among all risks, environmental risks are the direst because they have high likelihood of occurrence and severity of impact but very low controllability. Real estate construction firms (developers) are therefore expected to prioritize remedy of environmental risks. Research limitations/implications The study is based on self-reported perception of project parties on the likelihood, severity of impact and controllability of real estate project risk factors. Firms outside of GREDA were not included in the survey. Therefore, generalisation of these risk factors for the entire construction industry should be done with caution. Practical implications The research results show that Ghanaian real estate developers are aware of the existence of the risks which impact on the performance of the industry. To effectively and efficiently manage these risk factors, project parties must understand the likelihood of occurrence, severity of impact and controllability of the risk factors, as well as individual firm’s responsibilities and capabilities to manage them. Such knowledge helps project managers to prioritise risks in managing them in the face of scarce resources. From an academic research perspective, the paper contributes to a conceptual risk assessment framework for the real estate industry. Originality/value The paper’s main contributions relate to the introduction of real estate construction sector-specific factors to project risk management modelling.

Sign in / Sign up

Export Citation Format

Share Document