scholarly journals Factors Affecting Adoption of Emergency Evacuation Strategies in High-Rise Office Buildings

2020 ◽  
Vol 20 (3) ◽  
pp. 1-21
Author(s):  
Farid Wajdi Akashah ◽  
Timothy Kurannen Baaki ◽  
Muhammad Firdaus Anuar ◽  
Nur Farhana Azmi ◽  
Zahiriah Yahya
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Emergency Response ◽  
Fire Safety ◽  
Health And Safety ◽  
Emergency Evacuation ◽  
Factors Affecting ◽  
High Rise ◽  
Active Fire ◽  
Factors Influencing

This study examined the evacuation strategies employed in high-rise buildings as well as determined factors influencing decision making in employing evacuation strategies in four selected high-rise buildings in Kuala Lumpur, Malaysia. Through a case study evaluation involving interviews with facility/building managers, walk through observations of the case studies and analyses of evacuation exercise reports, the study found that total evacuation was the most practiced evacuation strategy with occasional phased evacuation at one of the case studies. The study identified reliable emergency response, building characteristics/fire safety features, and evacuation exercise as the most important factors influencing decision making in employing evacuation strategies. Occupant characteristics was found to be the least important factor. The argument is that, efficient emergency response, passive and active fire safety systems, and evacuation exercise routines mean that challenges posed by the characteristics of occupants could be overcome. This paper gives new insights on factors influencing decision making in employing suitable evacuation strategies. This would benefit stakeholders e.g. building owners, facility managers, health and safety managers when drafting business continuity plans.

scholarly journals Impact of Technical, Human, and Organizational Risks on Reliability of Fire Safety Systems in High-Rise Residential Buildings—Applications of an Integrated Probabilistic Risk Assessment Model

2020 ◽  
Vol 10 (24) ◽  
pp. 8918
Author(s):  
Samson Tan ◽  
Darryl Weinert ◽  
Paul Joseph ◽  
Khalid Moinuddin
Keyword(s):  
Risk Assessment ◽  
Case Studies ◽  
Fire Safety ◽  
Residential Buildings ◽  
Probabilistic Risk Assessment ◽  
Active Systems ◽  
High Rise ◽  
Safety Systems ◽  
Over Time ◽  
Probabilistic Risk

The current paper presents an application of an alternative probabilistic risk assessment methodology that incorporates technical, human, and organizational risks (T-H-O-Risk) using Bayesian network (BN) and system dynamics (SD) modelling. Seven case studies demonstrate the application of this holistic approach to the designs of high-rise residential buildings. An incremental risk approach allows for quantification of the impact of human and organizational errors (HOEs) on different fire safety systems. The active systems considered are sprinklers, building occupant warning systems, smoke detectors, and smoke control systems. The paper presents detailed results from T-H-O-Risk modelling for HOEs and risk variations over time utilizing the SD modelling to compare risk acceptance in the seven case studies located in Australia, New Zealand, Hong Kong, Singapore, and UK. Results indicate that HOEs impact risks in active systems up to ~33%. Large variations are observed in the reliability of active systems due to HOEs over time. SD results indicate that a small behavioral change in ’risk perception’ of a building management team can lead to a very large risk to life variations over time through the self-reinforcing feedback loops. The quantification of difference in expected risk to life due to technical, human, and organizational risks for seven buildings for each of 16 trial designs is a novel aspect of this study. The research is an important contribution to the development of the next generation building codes and risk assessment methods.

The Research of High-rise Building Fire Safety Simulation Model Based on System Dynamics

2014 ◽  
Vol 614 ◽  
pp. 605-609
Author(s):  
Jin Feng Wang ◽  
Ye Liu ◽  
Xue Qi Zhai
Keyword(s):  
Simulation Model ◽  
Fire Safety ◽  
Graph Model ◽  
Flow Graph ◽  
Factors Affecting ◽  
Building Fire ◽  
High Rise ◽  
High Rise Building ◽  
Design Fire ◽  
Fire Design

Firstly, this paper analyzed the factors affecting high-rise building fire safety in terms of the aspects of staff awareness, high-rise building fire design, fire-fighting facilities, daily management, and technology and so on. Secondly, on this basis, I determined the flow graph model and variables, and constructed high-rise building fire safety simulation model. Finally, a high-rise building was used to verify the applicability of the model. The findings have developed a clear direction in order to strengthen the management and formulation of high-rise building fire safety.

scholarly journals An Evaluation Of Factors Influencing Pension Managers Investment Decisions In Kenya

2011 ◽  
Vol 8 (10) ◽  
Author(s):  
Lucy Jepchoge Rono
Keyword(s):  
Decision Making ◽  
Interest Rates ◽  
Pension Fund ◽  
Investment Decisions ◽  
Legal Framework ◽  
Past Performance ◽  
Factors Affecting ◽  
Fund Managers ◽  
Factors Influencing ◽  
Retirement Funds

This study focused on the analysis of factors influencing pension fund managers investment decisions. The objectives of the study were to identify investment options available to pension fund managers, identify factors that are considered by fund managers when making investment decisions and identify challenges faced by fund managers in making investment decisions. Three representatives from each of the twelve registered fund managers completed the study questionnaire. The questionnaire was administered through the drop and pick later method. Data was analyzed using SPSS (Statistical Package for Social Sciences) and summarized using descriptive statistics such as mean, standard deviation, frequencies, percentages. The study found out that returns, investment risks and trends in interest rates were the most important factors affecting pension managers investment decisions. Decision-making preferences, investment portfolio, past performance and legal framework were rated as less important. Consistency and return maximization in the rate of returns (sustainable long term returns), prevailing economic and political situations-inflation, global markets which determines key indicators like interest rates/ exchange and risk profile of the scheme investment (risk assessment of the board of trustees) in that order are also important qualitative factors in decision making for pension fund investment. The research also found out that few investment avenues/ vehicles, bureaucracy in consultations with trustees and unpredictable/ turbulent and dynamic market situations in that order are the major challenges facing fund managers investing pension funds. The researcher identified a need for a portfolio that will give higher returns. There is also need to harmonize all regulations relating to pensions in order to create efficiency and avoid confusion. The research also recommends that RBA benchmarks with the world best in order to help the sector to achieve growth. The promotion of retirement funds and regulatory functions should be separated to avoid conflict of interest in the two roles.

Application of Virtual Reality Technology for Emergency Evacuation in High-Rise Buildings

2012 ◽  
Vol 204-208 ◽  
pp. 4941-4945 ◽  
Author(s):  
Jun Fang Zhang ◽  
Shu Ping Wang
Keyword(s):  
Virtual Reality ◽  
Human Factors ◽  
Real Life ◽  
Emergency Evacuation ◽  
Fire Departments ◽  
Virtual Reality System ◽  
Virtual Reality Technology ◽  
Factors Affecting ◽  
Emergency Evacuations ◽  
High Rise

A virtual reality system was developed to simulate emergency evacuations during fires. The spreading of the flame and smoke in the virtual fire was modeled based on numerical fire simulations, so that the conditions are similar to real life. The paper investigates a number of evacuation strategies in high-rise buildings and the set of human factors affecting high-rise evacuations. It also discusses the challenges that building occupants and fire departments face during a fire emergency.

scholarly journals EXTENDING INDOOR OPEN STREET MAPPING ENVIRONMENTS TO NAVIGABLE 3D CITYGML BUILDING MODELS: EMERGENCY RESPONSE ASSESSMENT

2018 ◽  
Vol XLII-4 ◽  
pp. 161-168 ◽  
Author(s):  
F. Fadli ◽  
N. Kutty ◽  
Z. Wang ◽  
S. Zlatanova ◽  
L. Mahdjoubi ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Emergency Response ◽  
Computer Aided Design ◽  
3D Visualization ◽  
Response Assessment ◽  
Emergency Evacuation ◽  
Indoor Navigation ◽  
Generation Process ◽  
High Rise ◽  
Building Models

<p><strong>Abstract.</strong> Disaster scenarios in high-rise buildings such as the Address Downtown, Dubai or Grenfell Tower, London have showed ones again the importance of data information availability for emergency management in buildings. 3D visualization of indoor routing services using extensive and high quality geographic data sources is essential for spatial analysis in emergency responses. In order to facilitate emergency response simulations, a combination of geometrical, graphical and semantic information is essential. Successful and efficient emergency evacuation responses is facilitated by the availability of both digital static and dynamic information of the incident site. However, interruptions may be encountered with the availability of dynamic data, where static data developed using indoor navigation ontologies serve as an alternative to inform the first responders. Thus, it is necessary to obtain a firm, interactive and quasi-realistic virtual simulation of the building environments. Voxelized CityGML models imported into voxel based hazard simulation systems fits well into the simulation algorithm requirements (Groger et al., 2008; Moreno et.al, 2010). Therefore, the research investigates an alternative platform for generating CityGML spatial analysis models. LoD4 models are developed using Computer Aided Design (Auto CAD) 2D files, crowdsourced geo-data (OpenStreetMap) and open source tools. A combination of software packages is utilized for 3D reconstruction of building interiors. This process is achieved through a Java application developed by researchers at Heidelberg University. Conclusions drawn from the research validate the 3D CityGML model generation process as an international standard to effectively enhance the outcome of emergency evacuation simulations of high rise buildings.</p>

Identification and prioritization of factors affecting venture capitalists’ investment decision-making process

2016 ◽  
Vol 23 (4) ◽  
pp. 964-983 ◽  
Author(s):  
Monika Dhochak ◽  
Anil Kumar Sharma
Keyword(s):  
Decision Making ◽  
Investment Decisions ◽  
Economic Environment ◽  
Regulatory Environment ◽  
Venture Capitalists ◽  
Critical Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Financial Consideration

Purpose The purpose of this paper is to identify and rank critical factors influencing investment decisions of venture capitalists. Design/methodology/approach To identify and prioritize factors affecting investment decisions of venture capitalists, a two-phase methodology was adopted: in the first phase, critical factors influencing venture capitalists’ investment decisions were identified using exploratory factor analysis; the second phase entailed the use of a multi-criteria decision-making technique – analytical hierarchal process (AHP) which involved assigning weights to, and prioritizing the identified criteria and sub-criteria. Findings Seven factors were found to significantly influence investment decisions of venture capitalists: entrepreneur’s characteristics, product or services, market characteristics, management skills, financial consideration, economic environment and institutional and regulatory environment. Findings revealed that entrepreneur’s characteristics, financial consideration and product or services were prime influencers of venture capitalists’ investment decisions. Research limitations/implications As for limitations, first, the study considers limited number of factors influencing investment decisions of venture capitalists; there may be other influencers not considered in this study. Second, the AHP methodology assumes that the various decision-making criteria and sub-criteria are independent of each other; in real life, there may be inter-dependency among criteria. Third, the hierarchal model has been tested in the Indian venture capital industry only, and generalizability of results with respect to other industries is questionable. Practical implications The present study identifies and ranks seven factors found to significantly influence investment decisions of venture capitalists. Venture capitalists could use this list of factors as a guideline before making investment decisions, and if considering all factors is not possible, take into account the factors given top rank so that they arrive at informed and intelligent decisions. Originality/value This study is the first to identify economic factors (economic environment and institutional & regulatory environment) as influencers of venture capitalists’ investment decisions. Further, no study in the past has attempted to rank or prioritize factors influencing venture capitalists’ investment decisions; this is the first attempt of the kind.

scholarly journals Factors Influencing Pregnant Women’s Use of Patient Decision Aids and Decision Making on Prenatal Screening: A Qualitative Study

2021 ◽  
Author(s):  
Razieh Zahedi ◽  
Leila Nemati-Anaraki ◽  
Shahram Sedghi ◽  
Mamak Shariat
Keyword(s):  
Decision Making ◽  
Qualitative Study ◽  
Pregnant Women ◽  
Prenatal Screening ◽  
Decision Aids ◽  
Decision Making Process ◽  
Patient Decision Aids ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Patient Decision

Objective: We aimed to identify factors influencing pregnant women’s use of patient decision aids (PtDA) and decision making on prenatal screening. Materials and methods: This qualitative study was conducted between July 2019 and June 2020 in Tehran, Iran. The sample included 26 pregnant women selected by purposive sampling. The participants used a prenatal screening PtDA, then interviewed about factors that would influence their decision making and use of decision aids. The data were analyzed by conventional content analysis. Results: Three categories were identified for the process of and factors influencing decision making, including the current decision making process, expected decision making process, and factors influencing decision making. Also, five categories were identified as factors affecting the use of PtDAs, including the content of decision aids, the appearance of decision aids, the decision aid platform, the provision of decision aids, and the sub features of decision aids. Conclusion: To design, develop, and implementation of PtDAs for pregnant women, one should identify the factors affecting pregnant women’s decision making and the use of decision aids. This study helped to the identification of these factors, which is the first step towards the use of PtDAs by pregnant women and their participation in decision making.

scholarly journals Mass Media Information Validation Models for Decision Making

2020 ◽  
Vol 9 (1) ◽  
pp. 34-45
Author(s):  
Alexander Sukhodolov ◽  
Valentina Marenko ◽  
Vyacheslav Lozhnikov
Keyword(s):  
Decision Making ◽  
Mass Media ◽  
Mathematical Models ◽  
Model Calculation ◽  
Cognitive Model ◽  
Taxonomic Structure ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Executive Decision Making ◽  
Calculation Procedures

he authors study the mathematical models that formalize philosophical notions “information field” and “information” with mathematical means including Gauss’s theorem. They propose a radial hierarchy of information validation that reflects the taxonomic structure of factors affecting it. Besides, the authors work out a cognitive model that contributes to making scientifically based decisions concerning validity of information in the mass media. The model is tested with the help of simplicial analysis which enables to see unevident links between the factors influencing the formation of the structure of the cognitive model. Calculation procedures helped to correct the analyst’s speculations concerning the links between the factors in the cognitive model, applying the notion “coupling network”, which implies a connection between two separate simplexes through a network of intermediary simplexes. The results of the study may add to executive decision-making when designing and implementing programs of ideological purpose.

How do european psychiatry trainees prescribe when treating depression, and what influences decision-making? (Survey of the European Federation of Psychiatric Trainees Research Group)

2011 ◽  
Vol 26 (S2) ◽  
pp. 1248-1248
Author(s):  
S. Jauhar ◽  
S. Guloksuz ◽  
J.G. Marques ◽  
A. Nawka ◽  
C. Roventa ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Practice ◽  
Research Group ◽  
Side Effect ◽  
Antidepressant Medication ◽  
Evidence Base ◽  
European Federation ◽  
Side Effect Profile ◽  
Factors Affecting ◽  
Factors Influencing

ObjectivesDespite recent recent evidence and subsequent guidelines that have suggested factors such as side-effect profile and cost should be taken into account when prescribing antidepressant medication, relatively little evidence exists on decision-making in clinical practice.Our Pan-European Research Group looked at clinical practice regarding antidepressants amongst Psychiatry trainees, treatments trainees would desire themselves, and factors influencing decision-making.MethodsA semi-structured survey was constructed from recent literature, was piloted, and a homogenous sample size of at least 50 agreed upon from each country, with 50% the minimum response rate. It was distributed via web-link, questioning preference of antidepressant for patients, and factors influencing choice. Trainees were asked for their preference should they develop a moderate to severe depressive episode, and require medication.ResultsTreatment choices are summarised in Table 1. 79% of trainees would prescribe similar antidepressants for themselves as for patients.Factors influencing decision-making mapped onto three main domains: cost, efficacy and side-effect profile (5% other reasons). 86% (n = 548) of those who responded felt efficacy most important, 38% (n = 237) felt side-effect profile most important and 6% (n = 33) considered cost of most importance.ConclusionsSome differences exist in choice of antidepressant for European trainees and their patients, and factors affecting choice conflict with evidence base and guideline suggestions.

scholarly journals DETERMINING THE FACTORS AFFECTING THE PRODUCTIVITY OF SPECIALISTS OF A NEW GENERATION (ON THE EXAMPLE OF THE MARKETING TEAM OF THE REPRESENTATIVES OF THE GENERATION Z)

2018 ◽  
Vol 2018 (1) ◽  
pp. 28-32
Author(s):  
Ксения Помогаева ◽  
Ksenia Pomogaeva
Keyword(s):  
Case Studies ◽  
Factors Affecting ◽  
Effective Work ◽  
The Third ◽  
Generation Z ◽  
Factors Influencing ◽  
Similarities And Differences ◽  
Marketing Team ◽  
New Generation ◽  
Further Development

In the article "Determining the factors affecting the productivity of specialists of a new generation", questions of the effectiveness of the work of the representatives of the generation Z, the features of the management of the young cadres, the need to develop a management methodology that takes into account the diverse composition of the work collectives are discussed. The author of the article is a student of the Master's Degree 1 course of University ITMO, Pomogaeva K.Yu. The article is devoted to the study of the factors influencing the efficiency of the work of young specialists, and is a description and analysis of the results of the experiment conducted on the team of the case studies "Marketorium". In the introduction, the goal of the experiment is stated: verification of the reliability of the stated hypothesis for representatives of the Z generation. The structure of the experiment is described below: in the first stage, a hidden experiment was conducted with the division of participants into an autonomous and supervised team; at the second, a survey of the manager and questioning of the remaining participants, , that autonomy negatively affects the productivity of representatives of the generation Z, the third - interviewing, which made it possible to determine possible factors reducing Effective work: violation of the circulation of ideas, the presence of personal conflicts. In conclusion the author comes to the conclusion that it is necessary to further study the characteristics of young cadres with the further development of a methodology for managing employees that takes into account the similarities and differences of all generations.

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