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You searched for subject:(attraction demand). Showing records 1 – 2 of 2 total matches.

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1. Ilze Eneida Paris da ConceiÃÃo. Potencial do turismo internacional de Cabo Verde.

Degree: Master, 2014, Universidade Federal do Ceará

Ao longo dos anos, o turismo internacional vem crescendo rapidamente ao ponto de ser considerado a maior indÃstria do mundo, com contribuiÃÃes significativas na economia e no desenvolvimento de pequenos paÃses. Cabo Verde à um pequeno Estado insular, composto por dez ilhas, especializado na indÃstria do turismo, com forte Ãnfase na demanda turistica internacional. Considerando que o turismo internacional tem grande participaÃÃo no produto interno bruto e no setor de serviÃos de Cabo Verde, à essencial que o paÃs continue a atrair e reter turistas para apoiar o desenvolvimento da economia e do paÃs. Para isso, à necessÃrio saber o que influencia a demanda turÃstica internacional no paÃs. Destarte, o objetivo da pesquisa à analisar o potencial do mercado turÃstico internacional de Cabo Verde, com destaque para a capacidade de atraÃÃo da demanda internacional e a anÃlise da competitividade turÃstica das ilhas que compÃem o arquipÃlago. Trata-se de uma pesquisa analÃtica, com enfoque quantitativo, utilizando dados secundÃrios fornecidos pelo Instituto Nacional de EstatÃstica de Cabo Verde e pelo Banco Central de Cabo Verde. Os dados foram analisados no software estatÃstico Eviews7Â, por meio de um modelo economÃtrico autorregressivo. Calcularam-se ainda Ãndices de preferÃncia e de saturaÃÃo turÃstica das ilhas de Cabo Verde, assim como suas quotas de mercado. Os resultados mostraram que a demanda turÃstica internacional por Cabo Verde à influenciada positivamente pela oferta hoteleira, pelo fluxo turÃstico passado e pela taxa de cÃmbio. Os Ãndices de preferÃncia turÃstica indicam que as ilhas do Sal e da Boavista sÃo as que mais atraem turistas em Cabo Verde, mas tambÃm apresentam problemas de saturaÃÃo turÃstica, o que pode culminar em danos sociais e ambientais. Conclui-se que Cabo Verde reflete problemas de saturaÃÃo turÃstica, o que mostra a necessidade de planejamento integrado e detalhado no sentido de minimizar problemas sociais e ambientais, bem como direcionar investimentos para ilhas preteridas, inovando para tornÃ-las atrativas de modo que possam contribuir para o desenvolvimento e a formulaÃÃo de estratÃgias que promovam o turismo sustentÃvel no paÃs. Advisors/Committee Members: Sandra Maria dos Santos, MÃnica Cavalcanti Sà de Abreu, Luzia Neide M. T. Coriolano, JoÃo MÃrio Santos de FranÃa.

Subjects/Keywords: ADMINISTRACAO DE EMPRESAS; turismo internacional; cabo verde; atraÃÃo de demanda; anÃlise da quota de mercado; international tourism; Cape Verde; attraction demand; analysis of market share; Turismo - Cabo Verde; Desenvolvimento econÃmico -Cabo Verde

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

ConceiÃÃo, I. E. P. d. (2014). Potencial do turismo internacional de Cabo Verde. (Masters Thesis). Universidade Federal do Ceará. Retrieved from http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=14466 ;

Chicago Manual of Style (16th Edition):

ConceiÃÃo, Ilze Eneida Paris da. “Potencial do turismo internacional de Cabo Verde.” 2014. Masters Thesis, Universidade Federal do Ceará. Accessed November 27, 2020. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=14466 ;.

MLA Handbook (7th Edition):

ConceiÃÃo, Ilze Eneida Paris da. “Potencial do turismo internacional de Cabo Verde.” 2014. Web. 27 Nov 2020.

Vancouver:

ConceiÃÃo IEPd. Potencial do turismo internacional de Cabo Verde. [Internet] [Masters thesis]. Universidade Federal do Ceará 2014. [cited 2020 Nov 27]. Available from: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=14466 ;.

Council of Science Editors:

ConceiÃÃo IEPd. Potencial do turismo internacional de Cabo Verde. [Masters Thesis]. Universidade Federal do Ceará 2014. Available from: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=14466 ;


University of South Florida

2. Rana, Tejsingh. Enhancement of Predictive Capability of Transit Boardings Estimation and Simulation Tool (TBEST) Using Parcel Data: An Exploratory Analysis.

Degree: 2010, University of South Florida

TBEST is a comprehensive third generation transit demand forecasting model, developed by the FDOT Public Transit Office (PTO) to help transit agencies in completing their Transit Development Plans (TDPs). The on-going project funded by FDOT, related to TBEST, aims at further enhancing the capabilities of the TBEST model based on additional opportunities identified by the research team. The project focuses on enhancing TBEST’s capabilities in following areas: 1) Improving the precision of socio- demographic data by using property appraisal data (parcel data) and, 2) Improving the quality of data regarding trip attraction. Based on the improvement areas, this study aims at performing an exploratory analysis to 1) Identify the differences in activity levels (population and employment) within transit stop buffers due to change in input data i.e. from aggregate census data to disaggregate parcel data. 2) Explore various strategies (development of employment based trip attraction and, parcel land use based trip attraction and exploring how special generators are dealt with in the past studies) to enhance the trip attraction capability of the TBEST model. The results obtained from this analysis provide insights on the strategies and helps define suggestions to further enhance the precision of TBEST model. The results show that use of parcel level data improves the accuracy in capturing the activity levels within the catchment area of each stop. The results also suggest use of parcel land use based trip attraction for stops with special generators or use of interaction variable (interaction between special generator dummy and size (square footage etc.) of the special generator) to enhance the trip attraction capability of the TBEST model.

Subjects/Keywords: transit demand modeling; trip rates; special generator; trip attraction; American Studies; Arts and Humanities; Civil Engineering; Environmental Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rana, T. (2010). Enhancement of Predictive Capability of Transit Boardings Estimation and Simulation Tool (TBEST) Using Parcel Data: An Exploratory Analysis. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/3468

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rana, Tejsingh. “Enhancement of Predictive Capability of Transit Boardings Estimation and Simulation Tool (TBEST) Using Parcel Data: An Exploratory Analysis.” 2010. Thesis, University of South Florida. Accessed November 27, 2020. https://scholarcommons.usf.edu/etd/3468.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rana, Tejsingh. “Enhancement of Predictive Capability of Transit Boardings Estimation and Simulation Tool (TBEST) Using Parcel Data: An Exploratory Analysis.” 2010. Web. 27 Nov 2020.

Vancouver:

Rana T. Enhancement of Predictive Capability of Transit Boardings Estimation and Simulation Tool (TBEST) Using Parcel Data: An Exploratory Analysis. [Internet] [Thesis]. University of South Florida; 2010. [cited 2020 Nov 27]. Available from: https://scholarcommons.usf.edu/etd/3468.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rana T. Enhancement of Predictive Capability of Transit Boardings Estimation and Simulation Tool (TBEST) Using Parcel Data: An Exploratory Analysis. [Thesis]. University of South Florida; 2010. Available from: https://scholarcommons.usf.edu/etd/3468

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.