Tourism in Border Cities
Case Study From Iran
Bibliographic Data
| ID | 21216669 |
|---|---|
| Authors | Ebrahim SHARIFZADEH AGHDAM (0000-0002-3679-8013, Ferdowsi University of Mashhad), Barat Ali Khakpoor (0000-0002-1533-1449, Ferdowsi University of Mashhad), Mohsen AHADNEJAD REVASHTY (University of Zanjan) |
| Year | 2020 |
| Volume | 28 |
| Issue | 1 |
| Pages | 52-66 |
| Publication date | 2020-03-31 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | GeoJournal of Tourism and Geosites (JOURNAL) |
| Journal identifiers | ISSN: 2065-0817 • E-ISSN: 2065-1198 |
| Publisher | Asociatia de Geografie, Turism si Sport (PUBLISHER) |
| DOI | 10.30892/gtg.28104-451 |
| OpenAlex | W3001332395 |
| Language | EN |
| Citations received | 3 |
| References cited | 8 |
It is necessary to have the knowledge of places and a logical, strategic, and practical view toward their future. Since spatial developments on a macro-scale in political, environmental, physical, social, and cultural dimensions can have different influences in a long-term perspective, the present study was carried out in accordance with the world's effective approaches and the current situation of Iran and the region. The aim of the present study was to examine the primary factors affecting the promotion of tourism level in the border town of Piranshahr. In this regard, the present study was a descriptive-analytical investigation including a questionnaire which was conducted within Delphi model framework and software analyses. Afterwards, following dialog and consultation with the elites and academicians in the form of a research panel on urban issues, 40 individuals were chosen as the statistical population, and 39 variables were identified as the study's primary variables in the form of 8 general categories. For the working process of the primary variables, crossover influences were described within a matrix framework in futures study MICMAC Software. Afterwards, the statistical population was required to use the level of influence -direct, indirect, or potential dependence -in order to evaluate the variables in the range from 0 (no influence) to 3 (very strong influence). The results of 2 repeats of data rotation indicated that the fit index of the obtained model was 96.52%, which shows the high level of influence of the variables on one another. Moreover, based on the results of the present study, the index of strategic situation of the town and being located on the border (R) with a score of 114 had the strongest level of direct influence. Finally, by taking into account the recognized key driving forces, desirable, middle, and disastrous scenarios were proposed
Analytic hierarchy process · Business · Cartography · Delphi method · Descriptive statistics · Dialog box · Geography · Operations research · Political science · Politics · Population · Regional science · Sociology · Statistical population · Statistics · Tourism · Computer Science · Demography · Diverse Aspects of Tourism Research · Mathematics · Psychology · Recreation, Leisure, Wilderness Management · Sport and Mega-Event Impacts · Marketing
Mechanisms for the Integration of Tourism Systems
Geography of Natural and Recreational Facilities in the Development of Economic Integration of the Border Areas of Northern Kazakhstan and the Russian Federation
Innovative Clustering of the Region in the Context of Increasing Competitive Positions of the Enterprises of the Tourist-Recreational Destination
Tourism Planning
Rural-cultural excursion conceptualization
Socio-demographic effects on Anzali wetland tourism development
Tourism development and economic growth
Tourism and economic development
Conceptualizing and measuring environmentally responsible behaviors from the perspective of community-based tourists
Urban Tourism Research
Spatializing Culture
| Citations per year | 0.5 |
|---|---|
| Citation span | 2020 - 2021 (2) |
| Highly cited | No |