scholarly journals The Modelling of Pedestrian Vehicle Interaction for Post-Exiting Behaviour

2020 ◽  
Vol 5 ◽  
Author(s):  
Veronica Pellacini ◽  
Peter Lawrence ◽  
Edwin Galea
Keyword(s):  
Decision Making ◽  
Urban Environment ◽  
Emergency Services ◽  
High Capacity ◽  
Simulation Tool ◽  
Data Set ◽  
Unique Data ◽  
The People ◽  
Computer Based ◽  
The Impact

During a major evacuation of high capacity buildings, such as a tower block or transportation hub, the emergency services will need to consider the safety of the people within the vicinity of the emergency. However, in general, when assessing the safety of a building for evacuation only the behaviour within the building is considered. One method of assessing this is to utilise a computer based simulation tool. This research outlines a number of developments required to simulate the impact of traffic on the evacuation process in an urban environment in relation to post-exiting behaviour. It uses a unique data set and model capabilities for representing pedestrian-vehicle interaction post-evacuation, which also considers the impact of time pressures on decision making. In addition, a number of software developments and pedestrian behaviours are identified for bridging the behavioural gaps when interfacing an emergency pedestrian model with a traffic simulation.

scholarly journals HR analytics a roadmap for decision making: case study

2019 ◽  
Vol 15 (2) ◽  
pp. 979 ◽  
Author(s):  
Brahim Jabir ◽  
Noureddine Falih ◽  
Khalid Rahmani
Keyword(s):  
Operating System ◽  
Decision Making ◽  
Literature Review ◽  
Human Resources ◽  
Management Model ◽  
Amount Of Information ◽  
Vast Amount ◽  
The People ◽  
The Impact

<p>In the socio-economic world, the human resources are in the most top phase of the enterprise evolution. This evolution began when the arithmetic, statistics are applicable over a vast of opportunities and used to identify problems and support decision. However, analytics has been emerged to provide predictions and understand the people performance based on available data.</p>In light of this vast amount of information, human resources services need to deploy a predictive management model and operating system of analytics that can be an efficient and an instead solution that can respond to the gaps of the traditional existing ones and facilitate the decision making. In this paper, we present a literature review of this HR analytics concept and a case study concerning the impact of interventions using an analytics solution.<p> </p>

Municipal enterprises and their role in effective distribution of resources between different municipal services

2015 ◽  
Vol 9 (3) ◽  
pp. 111-120
Author(s):  
Владимир Морозов ◽  
Vladimir Morozov ◽  
Александра Панова ◽  
Alyeksandra Panova
Keyword(s):  
Decision Making ◽  
Municipal Services ◽  
Local Authorities ◽  
The Public ◽  
Municipal Authority ◽  
The People ◽  
Distribution Of Resources ◽  
The Impact ◽  
Better Than ◽  
Effective Distribution

This article examines the place of the municipal enterprises in the service of the local community in general, and in the rendering of municipal services in particular. The methods of services rendering by individual municipal authority or enterprise and the directly by local authorities are compared. These models vary considerably in efficiency and organizational support. These differences allow get answer to the question of the expediency of involving the municipal enterprises to the rendering of municipal services. The author defines the criteria, which allow assessing the place of municipal enterprises in considered sphere and getting answer to the question of the expediency of involving of municipal enterprises in the economy of the territory. The research also focuses on ways to improve efficiency, accountability and transparency of the management of municipal enterprises. A significant part of the impact and mechanism of direct responsibility to the people must be supported with the help of supervision of municipal services, otherwise there is a great temptation to start uncontrolled expansion and implement investments in new assets without appropriate investments in other municipal spheres. The activity of local authorities satisfies these criteria better than the performance of individual municipal enterprises. The financial independence of the last mentioned more contributes to attempts to build empires and unjustified costs. Municipal enterprises do not have unique advantages; their existence creates or contributes to the creation of problems in the sphere of decision-making, and also leads to unnecessary costs for the local authorities and population. Their abolishment would increase the efficiency, accountability and transparency of the public sector.

Agglomeration and Firm Performance: Economies of Scale, Localisation, and Urbanisation among Swedish Export Firms

2000 ◽  
Vol 32 (2) ◽  
pp. 305-321 ◽  
Author(s):  
Anders Malmberg ◽  
Bo Malmberg ◽  
Per Lundequist
Keyword(s):  
Economies Of Scale ◽  
Recent Literature ◽  
Export Performance ◽  
Scale Economies ◽  
Agglomeration Economies ◽  
Theoretical Development ◽  
Industrial Districts ◽  
Data Set ◽  
Unique Data ◽  
The Impact

In the 1990s, there has been an increase in interest in the spatial agglomeration of similar and related firms and industries. The recent literature is, however, marked by a lack of balance between theoretical development and empirical validation of the importance of agglomeration economies. Our aim in this paper is to redress the balance by assessing empirically the impact of various types of agglomeration economies on export performance. Our study is based on a unique data set including all Swedish export firms. We find that localisation economies are not as important as recent theoretical contributions on industrial districts, new industrial spaces, and innovative milieus have led us to believe. Instead, traditional scale economies, together with urbanisation economies, have a larger effect on export performance.

Computer Supported Instruction and Student Characteristics: An Experimental Study

1993 ◽  
Vol 9 (3) ◽  
pp. 373-396 ◽  
Author(s):  
G. Premkumar ◽  
K. Ramamurthy ◽  
William R. King
Keyword(s):  
Decision Making ◽  
Support System ◽  
Financial Management ◽  
Personal Characteristics ◽  
Important Variable ◽  
Degree Of Satisfaction ◽  
Domain Expertise ◽  
Computer Based ◽  
Improved Performance ◽  
The Impact

The extensive use of computers by businesses makes it imperative for most business graduates to possess a fair amount of computer skills to effectively perform in today's work environment. Business schools are integrating computers into their curricula to provide their students with these skills. While many studies in education have evaluated the effect of computer-based education, there are very few in the field of business education. This study evaluates the influence of a computer-based support system on the decision-making skills of students in a introductory financial management course. It also evaluates the impact of various personal characteristics of the student on decision-making performance. An experimental design combined with a survey instrument is used to collect data from forty-two graduate students. Discriminant analysis is used to derive a profile of students classifiable into groups based on quality of performance and degree of satisfaction. The results of the study indicate that the computer support system does indeed improve the performance of the students. The results of discriminant analyses suggest aptitude to be an important variable that emerged consistently in all the discriminant models. The other important predictors of improved performance and satisfaction with computer-supported instruction were observed to be domain expertise, domain experience, system experience, and the gender of the students.

scholarly journals The First Steps to Develop a Monitoring-Based Method to Support the Sustainable Mosquito Control in an Urban Environment in Hungary

2020 ◽  
Vol 12 (12) ◽  
pp. 5013
Author(s):  
Tibor Kiss ◽  
Csaba Leitol ◽  
Gergely Márovics ◽  
Tímea Zentai ◽  
Roland Baczur ◽  
...  
Keyword(s):  
Urban Environment ◽  
Mosquito Control ◽  
Control Measures ◽  
Public Health Issue ◽  
Lower Intensity ◽  
Reduced Pressure ◽  
Data Set ◽  
Running Water ◽  
The Impact ◽  
The City

In Europe, several exotic Aedes species, such as Aedes albopictus, Aedes eagypti, Aedes japonicas and Aedes koreicus, have become established. Mosquito-borne infection has also become a rising public health issue in Europe. This study aims to present the results of the first Hungarian systematic mosquito monitoring (SMM) operating in an urban environment in the city of Pécs. It also explains the implementation of a targeted mosquito control by the development of a mosquito map with the SMM approach, thus contributing to a reduction of the risks of mosquito-borne diseases. The mosquito trapping started in 2015, and the traps were Center for Disease Control (CDC) equipment. Based on the data of the SMM, an urban mosquito data set was developed. It consisted of the data of 441 trappings, and the data were statistically analyzed. The results show that three influencing factors impacted mosquito population: distance from running water, built-up density and average temperature had a causal impact on the average number of mosquitoes of an urban area. Each of these factors showed direct impact, and the impact intensified with the combination of the three factors. On that basis, it was made clear which areas of the city mosquito control activity should be focused. Areas of the city where interventions of lower intensity may be necessary compared to the intensity of the earlier mosquito control measures could also be determined. Compared to the previous practice, in which the entire city was involved in intensive mosquito control, now the intensive larviciding is advised to be applied in 42.1% of the total residential areas of the city. Thus, mosquito control of lower intensity could also be sufficient in the remaining 57.9% of the city area. This resource reallocation based on planning can boost the efficiency of the control and lead to a positive change towards sustainability regarding reduced pressure on the environment and reduced expenses of protection.

scholarly journals Decision making by NICE: examining the influences of evidence, process and context

2013 ◽  
Vol 9 (2) ◽  
pp. 119-141 ◽  
Author(s):  
Karin H. Cerri ◽  
Martin Knapp ◽  
Jose-Luis Fernandez
Keyword(s):  
Decision Making ◽  
New Technologies ◽  
Multinomial Logistic Regression ◽  
Clinical Excellence ◽  
Outcome Variable ◽  
Data Set ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Relative Contribution ◽  
The Impact

AbstractThe National Institute for Health and Clinical Excellence (NICE) provides guidance to the National Health Service (NHS) in England and Wales on funding and use of new technologies. This study examined the impact of evidence, process and context factors on NICE decisions in 2004–2009. A data set of NICE decisions pertaining to pharmaceutical technologies was created, including 32 variables extracted from published information. A three-category outcome variable was used, defined as the decision to ‘recommend’, ‘restrict’ or ‘not recommend’ a technology. With multinomial logistic regression, the relative contribution of explanatory variables on NICE decisions was assessed. A total of 65 technology appraisals (118 technologies) were analysed. Of the technologies, 27% were recommended, 58% were restricted and 14% were not recommended by NICE for NHS funding. The multinomial model showed significant associations (p ⩽ 0.10) between NICE outcome and four variables: (i) demonstration of statistical superiority of the primary endpoint in clinical trials by the appraised technology; (ii) the incremental cost-effectiveness ratio (ICER); (iii) the number of pharmaceuticals appraised within the same appraisal; and (iv) the appraisal year. Results confirm the value of a comprehensive and multivariate approach to understanding NICE decision making. New factors affecting NICE decision making were identified, including the effect of clinical superiority, and the effect of process and socio-economic factors.

scholarly journals How COVID-19 Have Changed Crowdfunding: Evidence From GoFundMe

2021 ◽  
Author(s):  
Junda Wang ◽  
Xupin Zhang ◽  
Jiebo Luo
Keyword(s):  
Racial Disparity ◽  
Computational Approach ◽  
Long Term Effects ◽  
Data Set ◽  
Unique Data ◽  
The Past ◽  
Before And After ◽  
The Impact ◽  
Shed Light

While the long-term effects of COVID-19 are yet to be determined, its immediate impact on crowdfunding is nonetheless significant. This study takes a computational approach to more deeply comprehend this change. Using a unique data set of all the campaigns published over the past two years on GoFundMe, we explore the factors that have led to the successful funding of a crowdfunding project. In particular, we study a corpus of crowdfunded projects, analyzing cover images and other variables commonly present on crowdfunding sites. Furthermore, we construct a classifier and a regression model to assess the significance of features based on XGBoost. In addition, we employ counterfactual analysis to investigate the causality between features and the success of crowdfunding. More importantly, sentiment analysis and the paired sample t-test are performed to examine the differences in crowdfunding campaigns before and after the COVID-19 outbreak that started in March 2020. First, we note that there is significant racial disparity in crowdfunding success. Second, we find that sad emotion expressed through the campaign's description became significant after the COVID-19 outbreak. Considering all these factors, our findings shed light on the impact of COVID-19 on crowdfunding campaigns.

scholarly journals Flood resilience measurement for communities: data for science and practice

2020 ◽  
Author(s):  
Michael Szoenyi ◽  
Finn Laurien ◽  
Adriana Keating
Keyword(s):  
Decision Making ◽  
Holistic Approach ◽  
Decision Making Process ◽  
Second Phase ◽  
Disaster Resilience ◽  
Data Set ◽  
Unique Data ◽  
Flood Impacts ◽  
Building Community ◽  
System Robustness

&lt;p&gt;Given the increased attention put on strengthening disaster resilience, there is a growing need to invest in its measurement and the overall accountability of resilience strengthening initiatives. There is a major gap in evidence about what actually makes communities more resilient when an event occurs, because there are no empirically validated measures of disaster resilience. Similarly, an effort to identify operational indicators has gained some traction only more recently. The Flood Resilience Measurement for Communities (FRMC) framework and associated, fully operational, integrated tool takes a systems-thinking, holistic approach to serve the dual goals of generating data on the determinants of community flood resilience, and providing decision-support for on-the-ground investment. The FRMC framework measures &amp;#8220;sources of resilience&amp;#8221; before a flood happens and looks at the post-flood impacts afterwards. It is built around the notion of five types of capital (the 5Cs: human, social, physical, natural, and financial) and the 4Rs of a resilient system (robustness, redundancy, resourcefulness, and rapidity). The sources of resilience are graded based on Zurich&amp;#8217;s Risk Engineering Technical Grading Standard. Results are displayed according to the 5Cs and 4Rs, the disaster risk management (DRM) cycle, themes and context level, to give the approach further flexibility and accessibility.&lt;/p&gt;&lt;p&gt;The Zurich Flood Resilience Alliance (ZFRA) has identified the measurement of resilience as a valuable ingredient in building community flood resilience. In the first application phase (2013-2018), we measured flood resilience in 118 communities across nine countries, building on responses at household and community levels. Continuing this endeavor in the second phase (2018 &amp;#8211; 2023) will allow us to enrich the understanding of community flood resilience and to extend this unique data set.&lt;/p&gt;&lt;p&gt;We find that at the community level, the FRMC enables users to track community progress on resilience over time in a standardized way. It thus provides vital information for the decision-making process in terms of prioritizing the resilience-building measures most needed by the community. At community and higher decision-making levels, measuring resilience also provides a basis for improving the design of innovative investment programs to strengthen disaster resilience.&lt;/p&gt;&lt;p&gt;By exploring data across multiple communities (facing different flood types and with very different socioeconomic and political contexts), we can generate evidence with respect to which characteristics contribute most to community disaster resilience before an event strikes. This contributes to meeting the challenge of demonstrating that the work we do has the desired impact &amp;#8211; that it actually builds resilience. Our findings suggest that stronger interactions between community functions induce co-benefits for community development.&lt;/p&gt;

scholarly journals A Time to Build

2021 ◽  
Vol 21 (35) ◽  
Author(s):  
Ralph Chami ◽  
Elorm Darkey ◽  
Oral Williams
Keyword(s):  
Direct Relationship ◽  
Technical Assistance ◽  
Data Set ◽  
Income Per Capita ◽  
Unique Data ◽  
Tax Revenues ◽  
Long Run ◽  
Time To Build ◽  
Per Capita ◽  
The Impact

We use a unique data set for 115 countries, from 2000–18, and 5-year non-overlapping averages to explore the impact of technical assitance on revenue mobilization. To the authors’ knowledge this is the first such effort to determine a direct relationship between technical assistance and the improvement in tax revenues. The paper finds that technical assistance significantly and positively increases tax revenues. Both income per capita and openness were found to positively improve the tax ratio in line with findings in the literature. Dynamic estimations also uncovered a long-run relationship among technical assistance, income per capita, openness, and tax revenues. This result further underscores that it takes time to build capacity and institutional resilience.

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