874 resultados para Local tourist system


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The traditional use of global and centralised control methods, fails for large, complex, noisy and highly connected systems, which typify many real world industrial and commercial systems. This paper provides an efficient bottom up design of distributed control in which many simple components communicate and cooperate to achieve a joint system goal. Each component acts individually so as to maximise personal utility whilst obtaining probabilistic information on the global system merely through local message-passing. This leads to an implied scalable and collective control strategy for complex dynamical systems, without the problems of global centralised control. Robustness is addressed by employing a fully probabilistic design, which can cope with inherent uncertainties, can be implemented adaptively and opens a systematic rich way to information sharing. This paper opens the foreseen direction and inspects the proposed design on a linearised version of coupled map lattice with spatiotemporal chaos. A version close to linear quadratic design gives an initial insight into possible behaviours of such networks.

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The aim of our research in the first half of 2011 was to find out what were the administrative, regulative and other problems that were specific obstacles to local economic development and what best practices can be found in local economies. During our research we carried out interviews with leaders and local professionals in five medium size towns of Hungary. We stated that the most obstructive factors were the imperfection of vocational training, the excessively bureaucratic administrative proceedings (supplying of data, acquisition of authority permits, the attitude of the authorities, etc.) and the system of application and finding sources of funds. We think that the most innovative solutions are the good examples of the institutionalized co-operation between local governments and local businesses. We've come to the conclusion that there is a need for reducing administrative burdens for the sake of local economic development.

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The purpose of this study is to identify the determinants of local officials' preferences of performance measures under the assumption that public officials' consensus on performance measures can enhance the accountability in public service delivery. This research consists of two steps: multiple case studies and a survey. The author conducted the case studies in five general-purpose municipalities in Florida, interviewing 25 local officials, attending community meetings, and reviewing relevant local documents. Based on the case studies and the relevant literature, a survey was developed and sent to 445 local officials in 67 general-purpose municipalities in Dade, Broward, and Palm Beach Counties, Florida. The findings of the case studies and the survey suggest that local officials' preferences of performance measures are influenced by their perception of utilities of performance measures and their desire to measure the achievement of organizational goals. The author concludes that a consensus among local officials for outcome-oriented performance measures is easier to achieve if a prospective performance measurement system is designed for reporting and management purposes rather than for budgeting purposes. ^

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Computers have dramatically changed the way we live, conduct business, and deliver education. They have infiltrated the Bahamian public school system to the extent that many educators now feel the need for a national plan. The development of such a plan is a challenging undertaking, especially in developing countries where physical, financial, and human resources are scarce. This study assessed the situation with regard to computers within the Bahamian public school system, and provided recommended guidelines to the Bahamian government based on the results of a survey, the body of knowledge about trends in computer usage in schools, and the country's needs. ^ This was a descriptive study for which an extensive review of literature in areas of computer hardware, software, teacher training, research, curriculum, support services and local context variables was undertaken. One objective of the study was to establish what should or could be relative to the state-of-the-art in educational computing. A survey was conducted involving 201 teachers and 51 school administrators from 60 randomly selected Bahamian public schools. A random stratified cluster sampling technique was used. ^ This study used both quantitative and qualitative research methodologies. Quantitative methods were used to summarize the data about numbers and types of computers, categories of software available, peripheral equipment, and related topics through the use of forced-choice questions in a survey instrument. Results of these were displayed in tables and charts. Qualitative methods, data synthesis and content analysis, were used to analyze the non-numeric data obtained from open-ended questions on teachers' and school administrators' questionnaires, such as those regarding teachers' perceptions and attitudes about computers and their use in classrooms. Also, interpretative methodologies were used to analyze the qualitative results of several interviews conducted with senior public school system's officials. Content analysis was used to gather data from the literature on topics pertaining to the study. ^ Based on the literature review and the data gathered for this study a number of recommendations are presented. These recommendations may be used by the government of the Commonwealth of The Bahamas to establish policies with regard to the use of computers within the public school system. ^

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The purpose of this study was to recast Miami's social history during the first three decades of the twentieth century through an examination of working class life. The thesis attempts to fill a gap in the literature while also expanding on the advances made in race and class studies of the United States. Through an analysis of local newspapers, minutes of a carpenter's union, and other archival sources, the thesis demonstrates how white workers obtained a virtual monopoly in skilled jobs over black workers, particularly in the construction industry, and exacted economic pressure on business through the threat of work stoppages. Driven by the concern to maintain smooth and steady growth amidst a vibrant tourist economy, business reluctantly worked with labor to maintain harmonious market conditions. Blacks, however, were able to gain certain privileges in the labor market through challenging the rigid system of segregation and notions of what constituted skilled labor. The findings demonstrate that Miami's labor unions shaped the city's social, cultural, and political landscape but the extent of their power was limited by booster discourse and the city's dependence on tourism. ^

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Annual average daily traffic (AADT) is important information for many transportation planning, design, operation, and maintenance activities, as well as for the allocation of highway funds. Many studies have attempted AADT estimation using factor approach, regression analysis, time series, and artificial neural networks. However, these methods are unable to account for spatially variable influence of independent variables on the dependent variable even though it is well known that to many transportation problems, including AADT estimation, spatial context is important. ^ In this study, applications of geographically weighted regression (GWR) methods to estimating AADT were investigated. The GWR based methods considered the influence of correlations among the variables over space and the spatially non-stationarity of the variables. A GWR model allows different relationships between the dependent and independent variables to exist at different points in space. In other words, model parameters vary from location to location and the locally linear regression parameters at a point are affected more by observations near that point than observations further away. ^ The study area was Broward County, Florida. Broward County lies on the Atlantic coast between Palm Beach and Miami-Dade counties. In this study, a total of 67 variables were considered as potential AADT predictors, and six variables (lanes, speed, regional accessibility, direct access, density of roadway length, and density of seasonal household) were selected to develop the models. ^ To investigate the predictive powers of various AADT predictors over the space, the statistics including local r-square, local parameter estimates, and local errors were examined and mapped. The local variations in relationships among parameters were investigated, measured, and mapped to assess the usefulness of GWR methods. ^ The results indicated that the GWR models were able to better explain the variation in the data and to predict AADT with smaller errors than the ordinary linear regression models for the same dataset. Additionally, GWR was able to model the spatial non-stationarity in the data, i.e., the spatially varying relationship between AADT and predictors, which cannot be modeled in ordinary linear regression. ^

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Next-generation integrated wireless local area network (WLAN) and 3G cellular networks aim to take advantage of the roaming ability in a cellular network and the high data rate services of a WLAN. To ensure successful implementation of an integrated network, many issues must be carefully addressed, including network architecture design, resource management, quality-of-service (QoS), call admission control (CAC) and mobility management. ^ This dissertation focuses on QoS provisioning, CAC, and the network architecture design in the integration of WLANs and cellular networks. First, a new scheduling algorithm and a call admission control mechanism in IEEE 802.11 WLAN are presented to support multimedia services with QoS provisioning. The proposed scheduling algorithms make use of the idle system time to reduce the average packet loss of realtime (RT) services. The admission control mechanism provides long-term transmission quality for both RT and NRT services by ensuring the packet loss ratio for RT services and the throughput for non-real-time (NRT) services. ^ A joint CAC scheme is proposed to efficiently balance traffic load in the integrated environment. A channel searching and replacement algorithm (CSR) is developed to relieve traffic congestion in the cellular network by using idle channels in the WLAN. The CSR is optimized to minimize the system cost in terms of the blocking probability in the interworking environment. Specifically, it is proved that there exists an optimal admission probability for passive handoffs that minimizes the total system cost. Also, a method of searching the probability is designed based on linear-programming techniques. ^ Finally, a new integration architecture, Hybrid Coupling with Radio Access System (HCRAS), is proposed for lowering the average cost of intersystem communication (IC) and the vertical handoff latency. An analytical model is presented to evaluate the system performance of the HCRAS in terms of the intersystem communication cost function and the handoff cost function. Based on this model, an algorithm is designed to determine the optimal route for each intersystem communication. Additionally, a fast handoff algorithm is developed to reduce the vertical handoff latency.^

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Freeway systems are becoming more congested each day. One contribution to freeway traffic congestion comprises platoons of on-ramp traffic merging into freeway mainlines. As a relatively low-cost countermeasure to the problem, ramp meters are being deployed in both directions of an 11-mile section of I-95 in Miami-Dade County, Florida. The local Fuzzy Logic (FL) ramp metering algorithm implemented in Seattle, Washington, has been selected for deployment. The FL ramp metering algorithm is powered by the Fuzzy Logic Controller (FLC). The FLC depends on a series of parameters that can significantly alter the behavior of the controller, thus affecting the performance of ramp meters. However, the most suitable values for these parameters are often difficult to determine, as they vary with current traffic conditions. Thus, for optimum performance, the parameter values must be fine-tuned. This research presents a new method of fine tuning the FLC parameters using Particle Swarm Optimization (PSO). PSO attempts to optimize several important parameters of the FLC. The objective function of the optimization model incorporates the METANET macroscopic traffic flow model to minimize delay time, subject to the constraints of reasonable ranges of ramp metering rates and FLC parameters. To further improve the performance, a short-term traffic forecasting module using a discrete Kalman filter was incorporated to predict the downstream freeway mainline occupancy. This helps to detect the presence of downstream bottlenecks. The CORSIM microscopic simulation model was selected as the platform to evaluate the performance of the proposed PSO tuning strategy. The ramp-metering algorithm incorporating the tuning strategy was implemented using CORSIM's run-time extension (RTE) and was tested on the aforementioned I-95 corridor. The performance of the FLC with PSO tuning was compared with the performance of the existing FLC without PSO tuning. The results show that the FLC with PSO tuning outperforms the existing FL metering, fixed-time metering, and existing conditions without metering in terms of total travel time savings, average speed, and system-wide throughput.

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Developing scientifically credible tools for measuring the success of ecological restoration projects is a difficult and a non-trivial task. Yet, reliable measures of the general health and ecological integrity of ecosystems are critical for assessing the success of restoration programs. The South Florida Ecosystem Restoration Task Force (Task Force), which helps coordinate a multi-billion dollar multi-organizational effort between federal, state, local and tribal governments to restore the Florida Everglades, is using a small set of system-wide ecological indicators to assess the restoration efforts. A team of scientists and managers identified eleven ecological indicators from a field of several hundred through a selection process using 12 criteria to determine their applicability as part of a system-wide suite. The 12 criteria are: (1) is the indicator relevant to the ecosystem? (2) Does it respond to variability at a scale that makes it applicable to the entire system? (3) Is the indicator feasible to implement and is it measureable? (4) Is the indicator sensitive to system drivers and is it predictable? (5) Is the indicator interpretable in a common language? (6) Are there situations where an optimistic trend with regard to an indicator might suggest a pessimistic restoration trend? (7) Are there situations where a pessimistic trend with regard to an indicator may be unrelated to restoration activities? (8) Is the indicator scientifically defensible? (9) Can clear, measureable targets be established for the indicator to allow for assessments of success? (10) Does the indicator have specificity to be able to result in corrective action? (11) What level of ecosystem process or structure does the indicator address? (12) Does the indicator provide early warning signs of ecological change? In addition, a two page stoplight report card was developed to assist in communicating the complex science inherent in ecological indicators in a common language for resource managers, policy makers and the public. The report card employs a universally understood stoplight symbol that uses green to indicate that targets are being met, yellow to indicate that targets have not been met and corrective action may be needed and red to represent that targets are far from being met and corrective action is required. This paper presents the scientific process and the results of the development and selection of the criteria, the indicators and the stoplight report card format and content. The detailed process and results for the individual indicators are presented in companion papers in this special issue of Ecological Indicators.

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How do local homeland security organizations respond to catastrophic events such as hurricanes and acts of terrorism? Among the most important aspects of this response are these organizations ability to adapt to the uncertain nature of these "focusing events" (Birkland 1997). They are often behind the curve, seeing response as a linear process, when in fact it is a complex, multifaceted process that requires understanding the interactions between the fiscal pressures facing local governments, the institutional pressures of working within a new regulatory framework and the political pressures of bringing together different levels of government with different perspectives and agendas. ^ This dissertation has focused on tracing the factors affecting the individuals and institutions planning, preparing, responding and recovering from natural and man-made disasters. Using social network analysis, my study analyzes the interactions between the individuals and institutions that respond to these "focusing events." In practice, it is the combination of budgetary, institutional, and political pressures or constraints interacting with each other which resembles a Complex Adaptive System (CAS). ^ To investigate this system, my study evaluates the evolution of two separate sets of organizations composed of first responders (Fire Chiefs, Emergency Management Coordinators) and community volunteers organized in the state of Florida over the last fifteen years. Using a social network analysis approach, my dissertation analyzes the interactions between Citizen Corps Councils (CCCs) and Community Emergency Response Teams (CERTs) in the state of Florida from 1996–2011. It is the pattern of interconnections that occur over time that are the focus of this study. ^ The social network analysis revealed an increase in the amount and density of connections between these organizations over the last fifteen years. The analysis also exposed the underlying patterns in these connections; that as the networks became more complex they also became more decentralized though not in any uniform manner. The present study brings to light a story of how communities have adapted to the ever changing circumstances that are sine qua non of natural and man-made disasters.^

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Annual Average Daily Traffic (AADT) is a critical input to many transportation analyses. By definition, AADT is the average 24-hour volume at a highway location over a full year. Traditionally, AADT is estimated using a mix of permanent and temporary traffic counts. Because field collection of traffic counts is expensive, it is usually done for only the major roads, thus leaving most of the local roads without any AADT information. However, AADTs are needed for local roads for many applications. For example, AADTs are used by state Departments of Transportation (DOTs) to calculate the crash rates of all local roads in order to identify the top five percent of hazardous locations for annual reporting to the U.S. DOT. ^ This dissertation develops a new method for estimating AADTs for local roads using travel demand modeling. A major component of the new method involves a parcel-level trip generation model that estimates the trips generated by each parcel. The model uses the tax parcel data together with the trip generation rates and equations provided by the ITE Trip Generation Report. The generated trips are then distributed to existing traffic count sites using a parcel-level trip distribution gravity model. The all-or-nothing assignment method is then used to assign the trips onto the roadway network to estimate the final AADTs. The entire process was implemented in the Cube demand modeling system with extensive spatial data processing using ArcGIS. ^ To evaluate the performance of the new method, data from several study areas in Broward County in Florida were used. The estimated AADTs were compared with those from two existing methods using actual traffic counts as the ground truths. The results show that the new method performs better than both existing methods. One limitation with the new method is that it relies on Cube which limits the number of zones to 32,000. Accordingly, a study area exceeding this limit must be partitioned into smaller areas. Because AADT estimates for roads near the boundary areas were found to be less accurate, further research could examine the best way to partition a study area to minimize the impact.^

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The thematization of public space in the ―Maior São João do Mundo‖ in Campina Grande - PB stimulates the economy and the local tourism from the transformation of a common public space in a setting that has the traditional June festivals based. To do so, contributes to promotion of existing creative sectors in the city and the design of a new city that is projected from the festivities of São João. In this research we propose to determine the influence of the thematization of public space in the local economy, particularly in creative sectors present in the ―Maior São João do Mundo‖ and assess their importance for the development of local creative economy. We chose the case study, from an ethnographic approach, using different research techniques such as participant observation, semi-structured interviews with open questions and the analysis of social representations of respondents. The methodology used is mixed because it involves qualitative and quantitative data. We could notice at the end of this research, the thematization of public space in the ―Maior São João do Mundo‖ is the main reference factor for the event, stimulating the local economy and changing the city's image in three levels: political, economic and social. Also realize that the thematization of public space is the key binding factor between the creative sectors as well as between them and the related activities. All these sectors serve as a link between the products and services, creating a harmonic whole that transforms the city's image, stimulates the economy, promotes social inclusion, cultural integration and keeps the ―Maior São João do Mundo‖ as a traditional event in the tourist calendar regional and national.

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In contemporary dynamics, a change is observed in the institutional structure of the state, culminating in several policies for the tourist sector which promote a new management format. The from this view, the Tourism Regionalization Macro Program (TRP), considered a significant program to Ministry of Tourism, arose as an answer to this new reality, having as strategy a joint working of structuring and promotion turned at decentralization of actions, valuing the residents participation in the search of the permanent dialogue between peers and revaluation of places and territories, based in the regionalization process. Based on this bias, this study aims to examine the role of the Tourism State Council of Rio Grande do Norte, with regard to the tourism planning, trying to understand it and solve it as governance Instance, through the Tourism Regionalization Program interventions, given the participation context of its actors and agents. For purposes of this study is delimited as time frame the year 2007 at 2014, understanding that it was this time, there was greater council members accession, as well as different types of sectors representation of civil society, as a result of a tourism public policy based on principles of innovation and participation. In relation to the research problem, this study is conceptualized as a qualitative and the chosen method is the materialist dialectic. Still on the methodological options, utilize the Content Analysis. The results show that the institutionalization of governance instance as the Conetur does not contributes, ideally, in the planning and management process of participatory and integrated tourist activity, facing a fair direction of your space production. The research indicates that there are debates, discussions and guidelines (still in a timely and targeted form), but not reverberates practical effects, by act in a conjuncture that Is strategically designed for political and economic power game, setting the hegemonic actors performance, which uses this arena to instill personal desires and wishes, that are decided in absentia to the council.

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Environmental Sustainability is a very important factor for the Tourist Development of the localities, which should be protected and preserved so many other generations goers enjoy the experiences in their paradisiacal landscapes. The objective of the present study is to analyze the sustainability of the tourist destination of Jenipabu Beach, situated in a conservation area on the northern coast of Rio Grande do Norte state, in the city of Extremoz, 20 km from the center of the Capital Natal, being of great state tourist importance for having the most famous Dunes park in the region. There are several regulars and their proper groups in a tourist area, and the differences in these perceptions about the relationship of certain factors occurring on site, can determine how sustainable the same or its sustainability index is. This research used an Ecotourism Sustainability Indicator System (SEIS) to Tsaur, et al (2006), to assist in the verification of this index, in use methods of exploratory and descriptive research, where the data were collected through a questionnaire applied close to 151 attendees divided among residents, traders and visitors, directly by the author in Jenipabu in August and September 2015. The tabulation, analysis and interpretation of data were taken from the assistance of the technical factor analysis of statistics and ONEWAY ANOVA, which conducted by IBM SPSS software STATISTICS 20. The main findings were, identifying 14 relevant sustainability factors, of which 6 coincide with the indicator model used and 8 are new, as well as verification that Jenipabu is a destination with strong economic dependence of the Tourism, with various impacts of this community, which does not recognize the benefits that the Environmental Protection Area (APA) can bring to this and to the locality tourism. In conclusion on differences in perceptions of the regulars that the studied region Beach has low Sustainability and requires the development of various projects and actions for improvement.

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The community of Ferryland is located on the southeastern coast of the Avalon Peninsula. The town traditionally relied on a fishing-based economy until the collapse of the fishery in the early 1990s. The present economy emphasizes sustainable development in the tourism sector with focus on archaeology, geotourism and other recreational uses. This paper discusses coastal erosion and impacts on sites and infrastructure using methods including: local knowledge, Real Time Kinematic (RTK) surveying and other survey techniques, seawater level measurement, meteorological data from a locally-installed station, custom-made drifter tube buoys, photography, HD video, and investigation using various modes of transport including inflatable boat. The major findings of the study include that the residents and stakeholders are genuinely interested in and knowledgeable of coastal erosion. The causes of coastal erosion include: large waves, surge, longshore currents, harbour oscillations, mass wasting, and location of infrastructure causing alterations of these processes. Freeze-thaw Cycles (FTC), rainfall, and gravity loosen and transport rock, till, and fill materials downslope. Large waves and currents transport the materials alongshore or into the nearshore. Harbour oscillations causing high velocity currents (> 2 m/s) are responsible for shoreline erosion and damage to property in The Pool. Historical resources such as gun batteries and ordnance pieces which date to the 1700s are being lost or threatened through coastal erosion of till and rock cliffs. Improper drainage and maintenance is responsible for erosion of roads and supporting shoulders, necessitating mitigation measures. Sediment transport and deposition during and after large wave and surge events lead to undercutting of infrastructure and increased risk of washover of existing infrastructure. Erosion is ongoing at Bois Island and Ferryland Head Isthmus through slope processes and undercutting; The Pool and the lower Colony of Avalon site through harbour oscillations and related undermining; the tombolo and the main breakwater through wave attack; and Meade’s Cove including the East Coast Trail through wave attack and undercutting. The floor of the latrine in the lower Colony of Avalon site indicates that sea level was approximately 1.25m below present in the 1620s, a relative sea level rise rate of 3.2 mm/y. The recommendations include suggested mitigation to reduce impacts specific to each site.