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(1 - 12 of 12)
- Title
- USABILITY OF VARIOUS INPUT DEVICES ON A STEERING TASK.
- Creator
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Fund, Ian, McConnell, Daniel, University of Central Florida
- Abstract / Description
-
In this study we examined the differences of performance of various input devices on a steering task. Two paths were created, one easy and one hard, with the harder path having more turning points to navigate with one of three different input devices: mouse and keyboard, Xbox 360 controller, and a joystick. Participants were also exposed to low or high stress conditions. High stress was caused by playing loud short bursts of music over headphones worn by participants during testing. Results...
Show moreIn this study we examined the differences of performance of various input devices on a steering task. Two paths were created, one easy and one hard, with the harder path having more turning points to navigate with one of three different input devices: mouse and keyboard, Xbox 360 controller, and a joystick. Participants were also exposed to low or high stress conditions. High stress was caused by playing loud short bursts of music over headphones worn by participants during testing. Results indicated the mouse and keyboard performed better in all cases. There was no significant difference between the Xbox controller and joystick. No differences were found in the low and high stress conditions. Differences in sex were found, even when controlling for video game experience. These findings indicate that the mouse and keyboard is the best device to use on a steering task.
Show less - Date Issued
- 2015
- Identifier
- CFH0004763, ucf:45362
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFH0004763
- Title
- EFFECTS OF INPUT MODALITY AND EXPERTISE ON WORKLOAD AND VIDEO GAME PERFORMANCE.
- Creator
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Kent, Travis, Sims, Valerie, University of Central Florida
- Abstract / Description
-
A recent trend in consumer and military electronics has been to allow operators the option to control the system via novel control methods. The most prevalent and available form of these methods is that of vocal control. Vocal control allows for the control of a system by speaking commands rather than manually inputting them. This has not only implications for increased productivity but also optimizing safety, and assisting the disabled population. Past research has examined the potential...
Show moreA recent trend in consumer and military electronics has been to allow operators the option to control the system via novel control methods. The most prevalent and available form of these methods is that of vocal control. Vocal control allows for the control of a system by speaking commands rather than manually inputting them. This has not only implications for increased productivity but also optimizing safety, and assisting the disabled population. Past research has examined the potential costs and benefits to this novel control scheme with varying results. The purpose of this study was to further examine the relationship between modality of input, operator workload, and expertise. The results obtained indicated that vocal control may not be ideal in all situations as a method of input as participants experienced significantly higher amounts of workload than those in the manual condition. Additionally, expertise may be more specific than previously thought as participants in the vocal condition performed nearly identical at the task regardless of gaming expertise. The implications of the findings for this study suggest that vocal control be further examined as an effective method of user input, especially with regards to expertise and training effects.
Show less - Date Issued
- 2011
- Identifier
- CFH0004122, ucf:44877
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFH0004122
- Title
- AN INTERVAL BASED APPROACH TO MODEL INPUT UNCERTAINTY IN DISCRETE-EVENT SIMULATION.
- Creator
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Batarseh, Ola, Wang, Yan, University of Central Florida
- Abstract / Description
-
The objective of this research is to increase the robustness of discrete-event simulation (DES) when input uncertainties associated models and parameters are present. Input uncertainties in simulation have different sources, including lack of data, conflicting information and beliefs, lack of introspection, measurement errors, and lack of information about dependency. A reliable solution is obtained from a simulation mechanism that accounts for these uncertainty components in simulation. An...
Show moreThe objective of this research is to increase the robustness of discrete-event simulation (DES) when input uncertainties associated models and parameters are present. Input uncertainties in simulation have different sources, including lack of data, conflicting information and beliefs, lack of introspection, measurement errors, and lack of information about dependency. A reliable solution is obtained from a simulation mechanism that accounts for these uncertainty components in simulation. An interval-based simulation (IBS) mechanism based on imprecise probabilities is proposed, where the statistical distribution parameters in simulation are intervals instead of precise real numbers. This approach incorporates variability and uncertainty in systems. In this research, a standard procedure to estimate interval parameters of probability distributions is developed based on the measurement of simulation robustness. New mechanisms based on the inverse transform to generate interval random variates are proposed. A generic approach to specify the required replication length to achieve a desired level of robustness is derived. Furthermore, three simulation clock advancement approaches in the interval-based simulation are investigated. A library of Java-based IBS toolkits that simulates queueing systems is developed to demonstrate the new proposed reliable simulation. New interval statistics for interval data analysis are proposed to support decision making. To assess the performance of the IBS, we developed an interval-based metamodel for automated material handling systems, which generates interval performance measures that are more reliable and computationally more efficient than traditional DES simulation results.
Show less - Date Issued
- 2010
- Identifier
- CFE0003343, ucf:48441
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0003343
- Title
- AN APPROACH TO AUTOMATING DATA COLLECTION FOR SIMULATION.
- Creator
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Portnaya, Irin, Mollaghasemi, Mansooreh, University of Central Florida
- Abstract / Description
-
In past years many industries have utilized simulation as a means for decision making. That wave has introduced simulation as a powerful optimization and development tool in the manufacturing industry. Input data collection is a significant and complex event in the process of simulation. The simulation professionals have grown to accept it is as a strenuous but necessary task. Due to the nature of this task, data collection problems are numerous and vary depending on the situation. These...
Show moreIn past years many industries have utilized simulation as a means for decision making. That wave has introduced simulation as a powerful optimization and development tool in the manufacturing industry. Input data collection is a significant and complex event in the process of simulation. The simulation professionals have grown to accept it is as a strenuous but necessary task. Due to the nature of this task, data collection problems are numerous and vary depending on the situation. These problems may involve time consumption, lack of data, lack of structure, etc. This study concentrates on the challenges of input data collection for Discrete Event Simulation in the manufacturing industry and focuses particularly on speed, efficiency, data completeness and data accuracy. It has been observed that many companies have recently utilized commercial databases to store production data. This study proposes that the key to faster and more efficient input data collection is to extract data directly from these sources in a flexible and efficient way. An approach is introduced here to creating a custom software tool for a manufacturing setting that allows input data to be collected and formatted quickly and accurately.The methodology for the development of such a custom tool and its implementation, Part Data Collection, are laid out in this research. The Part Data Collection application was developed to assist in the simulation endeavors of Lockheed Martin Missiles and Fire Control in Orlando, Florida. It was implemented and tested as an aid in a large simulation project, which included modeling a new factory. This implementation resulted in 93% reduction in labor time associated with data collection and significantly improved data accuracy.
Show less - Date Issued
- 2004
- Identifier
- CFE0000025, ucf:46096
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0000025
- Title
- EFFECT OF OPERATOR CONTROL CONFIGURATION ON UNMANNED AERIAL SYSTEM TRAINABILITY.
- Creator
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Neumann, John, Kincaid, Peter, University of Central Florida
- Abstract / Description
-
Unmanned aerial systems (UAS) carry no pilot on board, yet they still require live operators to handle critical functions such as mission planning and execution. Humans also interpret the sensor information provided by these platforms. This applies to all classes of unmanned aerial vehicles (UAV's), including the smaller portable systems used for gathering real-time reconnaissance during military operations in urban terrain. The need to quickly and reliably train soldiers to control small...
Show moreUnmanned aerial systems (UAS) carry no pilot on board, yet they still require live operators to handle critical functions such as mission planning and execution. Humans also interpret the sensor information provided by these platforms. This applies to all classes of unmanned aerial vehicles (UAV's), including the smaller portable systems used for gathering real-time reconnaissance during military operations in urban terrain. The need to quickly and reliably train soldiers to control small UAS operations demands that the human-system interface be intuitive and easy to master. In this study, participants completed a series of tests of spatial ability and were then trained (in simulation) to teleoperate a micro-unmanned aerial vehicle equipped with forward and downward fixed cameras. Three aspects of the human-system interface were manipulated to assess the effects on manual control mastery and target detection. One factor was the input device. Participants used either a mouse or a specially programmed game controller (similar to that used with the Sony™ Playstation 2 video game console). A second factor was the nature of the flight control displays as either continuous or discrete (analog v. digital). The third factor involved the presentation of sensor imagery. The display could either provide streaming video from one camera at a time, or present the imagery from both cameras simultaneously in separate windows. The primary dependent variables included: 1) time to complete assigned missions, 2) number of collisions, 3) number of targets detected, and 4) operator workload. In general, operator performance was better with the game controller than with the mouse, but significant improvement in time to complete occurred over repeated trials regardless of the device used. Time to complete missions was significantly faster with the game controller, and operators also detected more targets without any significant differences in workload compared to mouse users. Workload on repeated trials decreased with practice, and spatial ability was a significant covariate of workload. Lower spatial ability associated with higher workload scores. In addition, demographic data including computer usage and video gaming experience were collected and analyzed, and correlated with performance. Higher video gaming experience was also associated with lower workload.
Show less - Date Issued
- 2006
- Identifier
- CFE0001496, ucf:47080
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0001496
- Title
- PROPOSING AN ALTERNATIVE FRAMEWORK FOR FEASIBILITY STUDIES FOR LARGE PUBLIC TOURISM INVESTMENTS: A QUANTITATIVE ANALYSIS OF THE ORANGE COUNTY CONVENTION CENTER.
- Creator
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Kock, Marcelinio, Hara, Tadayuki, University of Central Florida
- Abstract / Description
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Numerous studies in the hospitality field have focused on the importance of the convention industry to the economic well being of the local tourism industry. Because of intense competition between convention centers, destinations are practicing strategies of expanding their convention facilities and related infrastructure. Unfortunately, many of these expansions appear to have been based on feasibility studies that failed to present rigorous reviews and examinations regarding alleged claims...
Show moreNumerous studies in the hospitality field have focused on the importance of the convention industry to the economic well being of the local tourism industry. Because of intense competition between convention centers, destinations are practicing strategies of expanding their convention facilities and related infrastructure. Unfortunately, many of these expansions appear to have been based on feasibility studies that failed to present rigorous reviews and examinations regarding alleged claims of positive impacts and over-optimistic operational pro-forma statements. The main objective of this study is to propose an alternative framework for feasibility studies, which consists of an updated, rigorous methodology to calculate a more comprehensive picture, on what convention centers can deliver on public and private investment. Data from the Orange County Convention Center (OCCC) in Orlando, Florida were used for assessing this proposed framework.
Show less - Date Issued
- 2007
- Identifier
- CFE0001629, ucf:47180
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0001629
- Title
- QUANTIFYING THE IMPACTS OF THE 2007 ECONOMIC CRISIS ON A LOCAL TOURISM INDUSTRY AND REGIONAL ECONOMY.
- Creator
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Zhong, Yun Ying, Tadayuki, Hara, University of Central Florida
- Abstract / Description
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The purpose of the study is to explore the accuracy of the Input-Output model and its derivative, the Occupation-Based model in investigating the impacts of the 2007 economic crisis on the tourism-related industries and the local economy in the Metro Orlando Area, Florida. The 2007-2008 total visitor expenditure change is taken as an initial shock from the economic crisis on the region's tourism-related industries, and the total impacts are measured in terms of industry output (sales),...
Show moreThe purpose of the study is to explore the accuracy of the Input-Output model and its derivative, the Occupation-Based model in investigating the impacts of the 2007 economic crisis on the tourism-related industries and the local economy in the Metro Orlando Area, Florida. The 2007-2008 total visitor expenditure change is taken as an initial shock from the economic crisis on the region's tourism-related industries, and the total impacts are measured in terms of industry output (sales), employment and annual occupational wage. The estimation results are compared with the actual data to verify the accuracy of the modeling results. Paired-sample T tests are performed to determine whether the difference between the actual and estimated results are statistically significant or not. The findings suggest that the Input-Output model tends to overestimate the negative effects from the 2007 economic crisis in terms of output and employment, especially on the tourism-related industries. While the estimation results indicate the 2007 economic crisis greatly damaged the local tourism-related industries between 2007 and 2008, the actual data show that most of these industries experienced output and employment growth in that one year period. Moreover, the study findings also indicate that the Occupation-Based model has the tendency of overestimating the annual wage loss, especially for the occupations which take up large employment ratio in an industry. By investigating the local economic activities during the study period, this study made some explorative efforts in explaining such discrepancies. Theoretical and practical implications are then suggested
Show less - Date Issued
- 2011
- Identifier
- CFE0003582, ucf:48897
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0003582
- Title
- An Integrated Framework for Automated Data Collection and Processing for Discrete Event Simulation Models.
- Creator
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Rodriguez, Carlos, Kincaid, John, Karwowski, Waldemar, O'Neal, Thomas, Kaup, David, Mouloua, Mustapha, University of Central Florida
- Abstract / Description
-
Discrete Events Simulation (DES) is a powerful tool of modeling and analysis used in different disciplines. DES models require data in order to determine the different parameters that drive the simulations. The literature about DES input data management indicates that the preparation of necessary input data is often a highly manual process, which causes inefficiencies, significant time consumption and a negative user experience.The focus of this research investigation is addressing the manual...
Show moreDiscrete Events Simulation (DES) is a powerful tool of modeling and analysis used in different disciplines. DES models require data in order to determine the different parameters that drive the simulations. The literature about DES input data management indicates that the preparation of necessary input data is often a highly manual process, which causes inefficiencies, significant time consumption and a negative user experience.The focus of this research investigation is addressing the manual data collection and processing (MDCAP) problem prevalent in DES projects. This research investigation presents an integrated framework to solve the MDCAP problem by classifying the data needed for DES projects into three generic classes. Such classification permits automating and streamlining the preparation of the data, allowing DES modelers to collect, update, visualize, fit, validate, tally and test data in real-time, by performing intuitive actions. In addition to the proposed theoretical framework, this project introduces an innovative user interface that was programmed based on the ideas of the proposed framework. The interface is called DESI, which stands for Discrete Event Simulation Inputs.The proposed integrated framework to automate DES input data preparation was evaluated against benchmark measures presented in the literature in order to show its positive impact in DES input data management. This research investigation demonstrates that the proposed framework, instantiated by the DESI interface, addresses current gaps in the field, reduces the time devoted to input data management within DES projects and advances the state-of-the-art in DES input data management automation.
Show less - Date Issued
- 2015
- Identifier
- CFE0005878, ucf:50861
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005878
- Title
- Calibrating a System Dynamic Model Within an Integrative Framework to Test Foreign Policy Choices.
- Creator
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Kavetsky, Carlos, Morrow, Patricia Bockelman, Wiegand, Rudolf, Wu, Annie, Akbas, Ilhan, University of Central Florida
- Abstract / Description
-
Political science uses international relations (IR) theory to explain state-actor political behavior. Research suggests that this theoretical framework can inform a predictive model incorporating features of systems dynamics (SD) and agent based (AB) modeling. The Foreign Policy Model (ForPol) herein applies Alexander Y. Lubyansky's (2014) SD model for macro-political behavior to represent behaviors between real systems and mental models. While verifying and validating the resulting SD/AB/IR...
Show morePolitical science uses international relations (IR) theory to explain state-actor political behavior. Research suggests that this theoretical framework can inform a predictive model incorporating features of systems dynamics (SD) and agent based (AB) modeling. The Foreign Policy Model (ForPol) herein applies Alexander Y. Lubyansky's (2014) SD model for macro-political behavior to represent behaviors between real systems and mental models. While verifying and validating the resulting SD/AB/IR holistic model requires an extensive comprehensive research agenda, the present work will take a closer examination at input parameter calibration and conducting typical runs of the SD portion of the model as a first step in the testing, verification and validation process of the proposed integrative model. This thesis proposes incorporating an AB paradigm drawn from work by Claudio Cioffi-Revilla (2009), Edward P. MacKerrow (2003), David L. Rousseau (2006), Joshua M. Epstein and Robert Axtell (1996) as a future hybrid extension.The model applies a SD approach for the modeling of macro-political aggregate behavior. Therefore, the deep analysis of the SD portion of ForPol is modeled and calibrated in Vensim, using empirical data from the 1967 Arab-Israeli Six Day War as a pilot. Interactions within the model actualize Choucri, et. al. (2006), definition of state stability and agent behavior aspects of Cioffi-Revilla's (2009) SimPol polity model. Following calibration results discussion, the present work closes with consideration of future research directions.
Show less - Date Issued
- 2017
- Identifier
- CFE0006750, ucf:51848
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006750
- Title
- Analysis, Design and Efficiency Optimization of Power Converters for Renewable Energy Applications.
- Creator
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Chen, Xi, Batarseh, Issa, Zhou, Qun, Mikhael, Wasfy, Sun, Wei, Kutkut, Nasser, University of Central Florida
- Abstract / Description
-
DC-DC power converters are widely used in renewable energy-based power generation systems due to the constant demand of high-power density and high-power conversion efficiency. DC-DC converters can be classified into non-isolated and isolated topologies. For non-isolated topologies, they are typically derived from buck, boost, buck-boost or forth order (such as Cuk, Sepic and Zeta) converters and they usually have relatively higher conversion efficiency than isolated topologies. However, with...
Show moreDC-DC power converters are widely used in renewable energy-based power generation systems due to the constant demand of high-power density and high-power conversion efficiency. DC-DC converters can be classified into non-isolated and isolated topologies. For non-isolated topologies, they are typically derived from buck, boost, buck-boost or forth order (such as Cuk, Sepic and Zeta) converters and they usually have relatively higher conversion efficiency than isolated topologies. However, with the applications where the isolation is required, either these topologies should be modified, or alternative topologies are needed. Among various isolated DC-DC converters, the LLC resonant converter is an attractive selection due to its soft switching, isolation, wide gain range, high reliability, high power density and high conversion efficiency.In low power applications, such as battery chargers and solar microinverters, increasing the switching frequency can reduce the size of passive components and reduce the current ripple and root-mean-square (RMS) current, resulting in higher power density and lower conduction loss. However, switching losses, gate driving loss and electromagnetic interference (EMI) may increase as a consequence of higher switching frequency. Therefore, switching frequency modulation, components optimization and soft switching techniques have been proposed to overcome these issues and achieve a tradeoff to reach the maximum conversion efficiency.This dissertation can be divided into two categories: the first part is focusing on the well-known non-isolated bidirectional cascaded-buck-boost converter, and the second part is concentrating on the isolated dual-input single resonant tank LLC converter. Several optimization approaches have been presented to improve the efficiency, power density and reliability of the power converters. In the first part, an adaptive switching frequency modulation technique has been proposed based on the precise loss model in this dissertation to increase the efficiency of the cascaded-buck-boost converter. In adaptive switching frequency modulation technique, the optimal switching frequency for the cascaded-buck-boost converter is adaptively selected to achieve the minimum total power loss. In addition, due to the major power losses coming from the inductor, a new low profile nanocrystalline inductor filled with copper foil has been designed to significantly reduce the core loss and winding loss. To further improve the efficiency of the cascaded-buck-boost converter, the adaptive switching frequency modulation technique has been applied on the converter with designed nanocrystalline inductor, in which the peak efficiency of the converter can break the 99% bottleneck.In the second part, a novel dual-input DC-DC converter is developed according to the LLC resonant topology. This design concept minimizes the circuit components by allowing single resonant tank to interface with multiple input sources. Based on different applications, the circuit configuration for the dual-input LLC converter will be a little different. In order to improve the efficiency of the dual-input LLC converter, the semi-active rectifiers have been used on the transformer secondary side to replace the low-side bridge diodes. In this case, higher magnetizing inductance can be selected while maintaining the same voltage gain. Besides, a burst-mode control strategy has been proposed to improve the light load and very light load efficiency of the dual- input LLC converter. This control strategy is able to be readily implemented on any power converter since it can be achieved directly through firmware and no circuit modification is needed in implementation of this strategy.
Show less - Date Issued
- 2019
- Identifier
- CFE0007612, ucf:52531
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0007612
- Title
- Life Cycle Sustainability Assessment Framework for the U.S. Built Environment.
- Creator
-
Kucukvar, Murat, Tatari, Mehmet, Oloufa, Amr, Behzadan, Amir, Al-Deek, Haitham, Pazour, Jennifer, University of Central Florida
- Abstract / Description
-
The overall goals of this dissertation are to investigate the sustainability of the built environment, holistically, by assessing its Triple Bottom Line (TBL): environmental, economic, and social impacts, as well as propose cost-effective, socially acceptable, and environmentally benign policies using several decision support models. This research is anticipated to transform life cycle assessment (LCA) of the built environment by using a TBL framework, integrated with economic input-output...
Show moreThe overall goals of this dissertation are to investigate the sustainability of the built environment, holistically, by assessing its Triple Bottom Line (TBL): environmental, economic, and social impacts, as well as propose cost-effective, socially acceptable, and environmentally benign policies using several decision support models. This research is anticipated to transform life cycle assessment (LCA) of the built environment by using a TBL framework, integrated with economic input-output analysis, simulation, and multi-criteria optimization tools. The major objectives of the outlined research are to (1) build a system-based TBL sustainability assessment framework for the sustainable built environment, by (a) advancing a national TBL-LCA model which is not available for the United States of America; (b) extending the integrated sustainability framework through environmental, economic, and social sustainability indicators; and (2) develop a system-based analysis toolbox for sustainable decisions including Monte Carlo simulation and multi-criteria compromise programming. When analyzing the total sustainability impacts by each U.S. construction sector, (")Residential Permanent Single and Multi-Family Structures" and "Other Non-residential Structures" are found to have the highest environmental, economic, and social impacts compared to other construction sectors. The analysis results also show that indirect suppliers of construction sectors have the largest sustainability impacts compared to on-site activities. For example, for all U.S. construction sectors, on-site construction processes are found to be responsible for less than 5 % of total water consumption, whereas about 95 % of total water use can be attributed to indirect suppliers. In addition, Scope 3 emissions are responsible for the highest carbon emissions compared to Scope 1 and 2. Therefore, using narrowly defined system boundaries by ignoring supply chain-related impacts can result in underestimation of TBL sustainability impacts of the U.S. construction industry.Residential buildings have higher shares in the most of the sustainability impact categories compared to other construction sectors. Analysis results revealed that construction phase, electricity use, and commuting played important role in much of the sustainability impact categories. Natural gas and electricity consumption accounted for 72% and 78% of the total energy consumed in the U.S. residential buildings. Also, the electricity use was the most dominant component of the environmental impacts with more than 50% of greenhouse gases emitted and energy used through all life stages. Furthermore, electricity generation was responsible for 60% of the total water withdrawal of residential buildings, which was even greater than the direct water consumption in residential buildings. In addition, construction phase had the largest share in income category with 60% of the total income generated through residential building's life cycle. Residential construction sector and its supply chain were responsible for 36% of the import, 40% of the gross operating surplus, and 50% of the gross domestic product. The most sensitive parameters were construction activities and its multiplier in most the sustainability impact categories.In addition, several emerging pavement types are analyzed using a hybrid TBL-LCA framework. Warm-mix Asphalts (WMAs) did not perform better in terms of environmental impacts compared to Hot-mix Asphalt (HMA). Asphamin(&)#174; WMA was found to have the highest environmental and socio-economic impacts compared to other pavement types. Material extractions and processing phase had the highest contribution to all environmental impact indicators that shows the importance of cleaner production strategies for pavement materials. Based on stochastic compromise programming results, in a balanced weighting situation, Sasobit(&)#174; WMA had the highest percentage of allocation (61%), while only socio-economic aspects matter, Asphamin(&)#174; WMA had the largest share (57%) among the WMA and HMA mixtures. The optimization results also supported the significance of an increased WMA use in the United States for sustainable pavement construction. Consequently, the outcomes of this dissertation will advance the state of the art in built environment sustainability research by investigating novel efficient methodologies capable of offering optimized policy recommendations by taking the TBL impacts of supply chain into account. It is expected that the results of this research would facilitate better sustainability decisions in the adoption of system-based TBL thinking in the construction field.
Show less - Date Issued
- 2013
- Identifier
- CFE0005018, ucf:50007
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005018
- Title
- The development of an eco-gastronomic tourism (EGT) supply chain-Analyzing linkages between farmer, restaurants, and tourists in Aruba.
- Creator
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Kock, Marcelino, Hara, Tadayuki, Dickson, Duncan, Murphy, Kevin, Beverly, Monifa, Muller, Christopher, University of Central Florida
- Abstract / Description
-
Purpose of this study is to holistically analyze existing linkages between Aruba's tourism industry, restaurants and local farmers, by examining strategies that constrain the development of linkages between these stakeholders. Previous research indicated that tourism development is often accompanied with increased demand for imported food, which results in foreign exchange leakages, inflation and competition with local production. This phenomenon is very common in the Caribbean, where Aruba,...
Show morePurpose of this study is to holistically analyze existing linkages between Aruba's tourism industry, restaurants and local farmers, by examining strategies that constrain the development of linkages between these stakeholders. Previous research indicated that tourism development is often accompanied with increased demand for imported food, which results in foreign exchange leakages, inflation and competition with local production. This phenomenon is very common in the Caribbean, where Aruba, with its heavy reliance on imported goods and services, is no exception to this occurrence. To comprehend potential problems associated with linking both sectors, these in-depth case study addresses three fundamental questions: a) what is the structure of supply and demand of food for the tourism industry of Aruba?, and b) what factors constrain the development of linkages between international tourism and Aruba's local agriculture? Using an exploratory and stochastic methodological approach, data will be obtained from structured surveys from three different stakeholders in the food supply chain of Aruba. Anticipated findings illustrate that the existing linkage between the tourism industry and agriculture in Aruba is still weak, yet the food consumption and preferences by tourists can contribute in enhancing an eco-gastronomic tourism supply chain.
Show less - Date Issued
- 2013
- Identifier
- CFE0005016, ucf:50015
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005016
