Volume 28, Issue 4 (2024)
MJSP 2024, 28(4): 25-53 |
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Aghamohammmadloo F, Shamoradi Samani R, Ayashi A, Torabi Z, Faraji Sabokbar H A, Darban Astaneh A R. Exploring Online Data to Analyze Tourist Satisfaction with Eco-Lodges (Case Study: Zanjan Province). MJSP 2024; 28 (4) :25-53
URL: http://hsmsp.modares.ac.ir/article-21-79093-en.html
URL: http://hsmsp.modares.ac.ir/article-21-79093-en.html
Fayyaz Aghamohammmadloo1 
, Reyhaneh Shamoradi Samani2 , Athareh Ayashi3 , Zebihollah Torabi4 , Hasan Ali Faraji Sabokbar5 , Ali Reza Darban Astaneh 
6
, Reyhaneh Shamoradi Samani2 , Athareh Ayashi3 , Zebihollah Torabi4 , Hasan Ali Faraji Sabokbar5 , Ali Reza Darban Astaneh 6
1- Master’s Candidate, Department of Human Geography, University of Tehran,Tehran, Iran.
2- Master’s Candidate, Department of Human Geography, University of Tehran,Tehran, Iran
3- Ph.D. Graduate in Human Geography, University of Tehran, Tehran, Iran.
4- Assistant Professor, Department of Human Geography, Tarbiat Modares University, Tehran, Iran.
5- Ph.D. in Department of Human Geography, University of Tehran, Tehran, Iran.
6- Associate Professor, Department of Human Geography, University of Tehran, Tehran, Iran ,astaneali@ut.ac.ir
2- Master’s Candidate, Department of Human Geography, University of Tehran,Tehran, Iran
3- Ph.D. Graduate in Human Geography, University of Tehran, Tehran, Iran.
4- Assistant Professor, Department of Human Geography, Tarbiat Modares University, Tehran, Iran.
5- Ph.D. in Department of Human Geography, University of Tehran, Tehran, Iran.
6- Associate Professor, Department of Human Geography, University of Tehran, Tehran, Iran ,
Abstract: (232 Views)
This research endeavors to delineate and scrutinize the principal determinants that affect tourist satisfaction with eco-lodges situated in Zanjan Province, as well as to investigate the spatial correlations pertinent to these determinants utilizing online data. In order to fulfill this objective, data were procured from the Jabama platform via automated web mining techniques (n=59), which were subsequently subjected to both statistical and spatial analyses. The findings derived from stepwise multiple regression analysis indicated that the most salient predictors of tourist satisfaction encompassed location (β = 0.372, p < 0.01), price value (β = 0.343, p < 0.01), and information accuracy (β = 0.292, p < 0.01). Furthermore, the spatial autocorrelation analysis conducted through the Local Moran’s I index revealed the existence of statistically significant clusters of tourist satisfaction, particularly in proximity to prominent attractions such as the Soltaniyeh Dome, where levels of satisfaction were notably elevated. The empirical results indicate that these three variables in unison account for 69% of the variability in tourist satisfaction. The implications of this study can guide eco-lodge administrators and tourism policymakers in refining service strategies and pricing frameworks, thereby elevating visitor satisfaction and fostering the sustainable advancement of nature-based tourism in Zanjan Province.
Article Type: Original Research |
Subject:
tourism planning and space economy
Received: 2025/01/20 | Accepted: 2025/04/29 | Published: 2024/12/21
Received: 2025/01/20 | Accepted: 2025/04/29 | Published: 2024/12/21
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