Call for Papers
Information Processing & Management (Impact Factor: 6.2)
Deadline: May 31, 2022 (full papers due)
Chulmo Koo, Kyung Hee University, South Korea
Jinwon Kim, University of Florida, USA
Rainer Alt, Leipzig University, Germany
Because advanced smart technologies have exponentially shaped the global tourism sector, smart tourism (Xiang, 2021) were introduced as new concepts with advanced strategies for managing smart tourism cities (Gretzel & Koo, 2021). Many cities are dual places as major tourist destinations. Specifically, they includes a wide range of tourist attractions, including historic buildings, museums, art galleries, restaurants, shopping centers, sport stadiums, and parks. Many cities are also centers of interactive communication among residents and visitors. They are ecosystems that combine cooperatively with the foci of transportation (e.g., road, rail, and air transport networks) and accommodation (e.g., hotel, and Airbnb) infrastructure which is required for the functioning of cities for tourism (Edwards, Griffin, & Hayllar, 2008; Gretzel, 2021). Many visitors have their business activities in the city, or wish to visit relatives/friends there (Wall, Dudycha, & Hutchinson, 1985). As a result, great attention has been needed to pay to the concept of smart tourism cities in the field of tourism and destination management (Chung, Lee, Ham, & Koo, 2021).
Tourism is a geographical phenomenon, involving tourists’ movement from one place to one or multiple destinations via transportation networks (Lee, Pennington-Gray, & Kim, 2019). Spatial analysis of tourists’ movement/flows and tourism supply/demand has long been emphasized as a core component of the geographical approach to tourism (Kang, Kim, & Nicholls, 2014) because tourists’ movement/flows are location-based and spatial externalities of tourism industry, along with spatial spillover effects can be derived from the supply and demand sides of industry (Yang & Mao, 2019).
Emerging geospatial data sources and advanced analytical techniques have provided tremendous opportunities for tourism scholars to analyze tourist and tourism activities from a spatial perspective. Recent advances in ICT technology and evolution of geospatial data are evident in the popularity of various big data sources integrating geographic information (e.g., geotagged social media and mobile phone data). Geographic information system (GIS)-based analytical techniques and spatial econometric methods are also powerful for addressing complex spatial decision problems in smart tourism cities.
Despite the importance of spatial analytics in smart tourism cities, to date, relatively few studies have been conducted. This special issue calls for unique insights into smart tourism cities through a spatial lens. Therefore, this special issue invites manuscripts that focus on spatial analytics in smart tourism cities. Specifically, this special issue focuses on, but not limited to the following related topics:
- Estimation of visit volumes using mobile device tracking and/or big data from social media
- Geospatial artificial intelligence (GeoAI) applications in smart tourism cities
- Environmental justice and environmental equity in smart tourism cities
- Accessible tourism in smart tourism cities
- Spatial-temporal segmentation of visitors in smart tourism cities
- Spatial behavior of visitors in smart tourism cities
- Applications of geospatial technologies (e.g., GIS, GPS, RS, LiDAR, drone, etc)
- Spatial econometric models and methods
- Valuing tourism/recreation resources in smart tourism cities
- Agent-based modeling and simulation in smart tourism cities
- Overtourism and resilience in smart tourism cities
- Urban economics in smart tourism cities
- Tourist mobility/flows in smart tourism cities
- Public participation GIS (PPGIS) for planning and management in smart tourism cities
- Spatial interaction modeling and spillover effects in smart tourism cities
- Spatial agglomeration and competition of tourism industry in smart tourism cities
- Spatial hedonic pricing modeling in smart tourism cities
- Spatio-temporal modeling of COVID-19 in smart tourism cities
- Spatial effects of sport/event tourism in smart tourism cities
IP&M time frame:
- Desk Check Completed: 0.5 week
- Under Review: 1 week
- First Decision: 7 weeks
- Final Decision: 21 weeks
Chung, N., Lee, H., Ham, J., & Koo, C. (2021). Smart tourism cities’ competitiveness index: A conceptual model. In Information and Communication Technologies in Tourism 2021 (pp. 433-438). Springer, Cham.
Edwards, D., Griffin, T., & Hayllar, B. (2008). Urban tourism research: Developing an agenda. Annals of Tourism Research, 35(4), 1032-1052.
Gretzel, U. (2021), Conceptualizing the Smart Tourism Mindset: Fostering Utopian Thinking in Smart Tourism Development, Journal of Smart Tourism, 1(1), 3-8.
Gretzel, U., & Koo, C. (2021). Smart tourism cities: A duality of place where technology supports the convergence of touristic and residential experiences. Asia Pacific Journal of Tourism Research, 26(4), 352-364.
Kang, S., Kim, J., & Nicholls, S. (2014). National tourism policy and spatial patterns of domestic tourism in South Korea. Journal of Travel Research, 53(6), 791-804.
Lee, Y., Pennington-Gray, L., & Kim, J. (2019). Does location matter? Exploring the spatial patterns of food safety in a tourism destination. Tourism Management, 71, 18-33.
Wall, G., Dudycha, D., & Hutchinson, J. (1985). Point pattern analyses of accommodation in Toronto. Annals of Tourism Research, 12(4), 603-618.
Yang, Y., & Mao, Z. (2019). When spatial means special: Special issue on spatial economics and tourism development. Tourism Economics, 1-5.
Xiang, Z. (2021). Journal of Smart Tourism: A New Platform to Support and Define an Emerging Field. Journal of Smart Tourism, 1(1), 1-2.