Suitability Evaluation of Popular Science Tourism Sites in University Towns: Case Study of Guangzhou University Town

Abstract

With the advent of the knowledge economy, universities have increasingly important roles in cities. However, some universities and cities are still fragmented, and popular science tourism is one way to solve this. The purposes and destinations of popular science tourism differ from those of traditional tourism. Consequently, their resources have a high development value for ecological and human resources. However, research on popular science tourism in China is still in its infancy. Here, we studied popular science tourism from a geographical perspective, selecting scale capacity, environmental level, resource level, location, and service conditions as factors to construct a judgment matrix to calculate the weights of indicators at various levels. Analytic hierarchy was used to build a popular science tourism evaluation system for Guangzhou University Town as a case study and the suitability of each tourist destination in the university town was evaluated. The results show that west Guangzhou University Town is more suitable for popular science tourism than the east, which possesses more value for popular science tourism development. Finally, we give recommendations for developing popular science tourism in Guangzhou University Town.

Spatial analysis of potential ecological sites in the northeastern parts of Ethiopia using multi-criteria decision-making models

“…AHP was employed to create the influential indicators on the hierarchy of selected criteria to determine suitable areas for ecotourism activities (Saaty 1990 ) and used for decision making in which a problem is divided into different indicators, arranging them in a hierarchal structure making a judgment on the relative importance of pair of elements and synthesizing the result (Malczewski 2004 ). For this analysis, therefore, is based on different guidelines (Malczewski 2004 ; Bunruamkaew and Muryama 2011 ; Tali et al 2012 ; WTO 2012 ; Nino et al 2017 ; Sahani 2019 ; Ambecha et al 2020 ; Guo et al 2022 ) for potential ecotourism activities 13 ecotourism indicators were reclassified into 4 suitability classes: highly suitable (S1), moderately suitable (S2), marginal/less suitable (N1), and unsuitable (N2) areas in ArcGIS10.3 environment. The reclassified spatial layers were converted to ASCI formats and exported to IDRISI SILVA17 software, and pair-wise comparisons have been applied after consulting (Saaty 1990 ).…”

“…The spectrum of ecotourism passes nature-based, natural resources conservation, educational, economic, sociocultural well-being, and sustainable development components (Blamey 1997 ; Diamantis 1999 ; Ok 2006 ; Lee and Xue 2020 ; Xu et al 2020 ; Zabihi et al 2020 ; Dowling and Pforr 2021 ; Guo et al 2022 ). However, conservation plans and tourist activities may jeopardize the hotspot site if the number of tourists and forms of cultural activities go beyond the carrying capacity; or if it is not managed and monitored under careful plans (Sims 2010 ; Jennifer et al 2010 ; Suryabhagavan et al 2015 ; Masih et al 2018 ; Mansour et al 2020 ; Heshmati et al 2022 ).…”

Popularization of Science in Colleges and Universities in the New Network Media Environment Based on Artificial Intelligence

“…This paper analyzes the characteristics and advantages of the system, analyzes the system business process, describes the system requirements analysis and technical platform selection, analyzes the system architecture design and system database design, gives the specific implementation of each functional module of the system, and carries out the application and testing of the system [7][8]. Documents accurately understand the needs of digital university science popularization system [9]; The systematic software engineering method is adopted to design a highly extensible framework for the science popularization resource cloud resource center; Realize the basic science popularization system in colleges and universities, and provide high-level basic functions of science popularization cloud application [10]. The literature studies the support of network stations designed based on Java programming language.…”

Evaluation of popular science tourism in Guangzhou HEMC based on PLS-SEM

“…Therefore, the increasingly close relationship between university towns and cities is an inevitable trend in the development of university towns, representing efficient resource utilization. Scholars have identified Guangzhou HEMC as a destination for popular science tourism through spatial analysis, and the value of it as a popular science tourism destination was further explored [45] . University town tourism serves as an effective means of transmitting scientific knowledge and sharing development information between urban areas and university towns, thereby strengthening their connection.…”

“…Our team has conducted a preliminary assessment of the potential value of popular science tourism in Guangzhou Higher Education Mega Center using AHP and GIS methodologies, and we have determined that it possesses significant potential as a destination for such tourism [45] . In order to further explore the value of popular science tourism in Guangzhou Higher Education Mega Center, we build upon previous research by adopting a more micro and people-oriented perspective.…”