نتایج جستجو برای: tourist perception

تعداد نتایج: 182968  

2005
M. Francesca Cracolici Peter Nijkamp

Tourism has become a wide-spread phenomenon in our age and a focal point of economic policy of many regions competing for the favours of tourists. Consequently, competitiveness of tourist destinations has received increasing interest in economic research with a view to the identification of the user attractiveness of a tourist area. The present paper is inspired by the conceptual competitivenes...

Journal: :Expert Syst. Appl. 2012
Fang-Ming Hsu Yu-Tzeng Lin Tu-Kuang Ho

Selecting tourist attractions and collecting related site information is one of the most crucial activities for a tourist when making decisions for a trip. Although various recommendation systems have been discussed over the last decade, rarely do such systems take individual tourist preference information into consideration. Based on the Engel–Blackwell–Miniard (EBM) model, this study used dat...

2012
Roger R. Betancourt

There is an economic natural resource curse as well as a political natural resource curse. The economic literature identifies certain characteristics of countries that are likely to fall victims to the former curse. ent literature on the y to explore the question In this essay we draw on these characteristics, rec political natural resource curse and Cuba’s histor of how likely is Cuba to fall...

2013
R.D.S.G. Campilho

Departamento de Engenharia Mecânica, Instituto Superior de Engenharia do Porto, Instituto Politécnico do Porto, Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal b Faculdade de Economia e Gestão, Universidade Lusófona do Porto, Rua Augusto Rosa, 24, 4000-098 Porto, Portugal c Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portuga...

2015
Engin Yılmaz

Modeling and forecasting techniques of the tourist arrivals are many and diverse. Th ere is no unique model that exactly outperforms the other models in every situation. Actually a few studies have realized modeling and forecasting the tourist arrivals to Turkey and these studies have not focused on the total tourist arrivals. Th ese studies have focused on the tourist arrivals to Turkey countr...

Journal: :CoRR 2003
Teela Pulliam Peter Elmer Alvise Dorigo

Anders Ryd California Institute of Technology, Pasadena, CA 91125 Alberto Crescente, Alvise Dorigo, Fulvio Galeazzi, Mauro Morandin, Roberto Stroili, Gionni Tiozzo, Gabriele Vedovato INFN Padova, I-35131 Padova, Italy Francesco Safai Tehrani INFN Rome, I-00185 Rome, Italy Teela Pulliam Ohio State University, Columbus, Ohio 43210 Peter Elmer Princeton University, Princeton, NJ 08544 Antonio Cese...

2013
Lifei Yao Ruimin Ma Maozhu Jin Peng Ge Peiyu Ren

In the process of studying the number of tourist arrivals of each moment on every day, one of the key findings is a very good statistical regularity about tourist total arrivals. There exists high similarity among different scales of tourist arrivals, including the nearly same change trend. And on this basis this paper puts forward a new method of modeling and forecasting real-time tourist arri...

2015
Hanqun Song Catherine Cheung

This study, for the first time, attempts to explore the factors affecting tourist satisfaction with a theatrical performance, The Romance of the Song Dynasty in Hangzhou, China. Four factors are identified to have affected tourist satisfaction: “Performance,” “Venue Environment,” “Service,” and “Stage Facilities”. These theatrical performance factors are examined to assess the relative influenc...

Journal: :Remote Sensing 2018
Zhenhong Li

Guest Editors help invite many high-quality papers for Remote Sensing. To acknowledge and encourage the generous work and precious time of the guest editor team of Special Issues in Remote Sensing, we launched the Best Guest Editor Award last year for Special Issues closed from 1 June 2016 to 31 June 2017. In total, 40 Special Issues were closed from 1 June 2016 to 31 June 2017 and these Specia...

Journal: :Journal of Asian Multicultural Research for Economy and Management Study 2020

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