Tarbiat Modares University The Journal of Spatial Planning and Geomatics 1605-9689 28 4 2024 12 21 Exploring Online Data to Analyze Tourist Satisfaction with Eco-Lodges (Case Study: Zanjan Province) Exploring Online Data to Analyze Tourist Satisfaction with Eco-Lodges (Case Study: Zanjan Province) 25 53 14779 FA Fayyaz Aghamohammmadloo Master’s Candidate, Department of Human Geography, University of Tehran,Tehran, Iran. Reyhaneh Shamoradi Samani Master’s Candidate, Department of Human Geography, University of Tehran,Tehran, Iran Athareh Ayashi Ph.D. Graduate in Human Geography, University of Tehran, Tehran, Iran. Zebihollah Torabi Assistant Professor, Department of Human Geography, Tarbiat Modares University, Tehran, Iran. 0000-0002-9347-2722 Hasan Ali Faraji Sabokbar Ph.D. in Department of Human Geography, University of Tehran, Tehran, Iran. Ali Reza Darban Astaneh Associate Professor, Department of Human Geography, University of Tehran, Tehran, Iran 0000-0002-7977-7116 Journal Article 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. 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.

https://hsmsp.modares.ac.ir/article_14779_0fa0a367bebe0a86970effd56746c459.pdf