DA-39 - GIS&T and Recreation Planning and Management

Human interactions with each other and the environment are intrinsically connected to the opportunities and limitations of where we live and where we are able to go. The connections between places of origin, destinations, and travel routes mean that recreation and tourism inherently rely on spatial concepts of place and human-environment interactions. Tourism and recreation are major economic drivers, yet these sectors are constantly evolving as people embrace different ways to travel and recreate and environmental and socio-economic conditions change. Advances in GIS technology and computing ability are shaping the questions asked and tools used by researchers to understand the drivers and impacts of recreation. In this entry, we highlight current research and approaches used to characterize access to green spaces in urban areas, to understand recreational behaviors and tourist preferences through social media, to map landscape aesthetics and cultural ecosystem services, and to quantify the impacts of tourism and recreation on protected areas. Starting with urban areas and local extents and moving to protected areas and regional processes, we summarize scholarship focused on different types of places and occurring across different extents and scales to provide a digest of current research.
DA-18 - GIS&T and Disaster Management
Geographic Information Science and Technology (GIS&T) has a long-running tradition of using spatially-oriented methodologies and representational techniques such as cartography and mapping to address hazards and disasters. This tradition remains important as ever as global society faces newer and more complex challenges resulting from climate change and new challenges such as the COVID-19 pandemic. GIS&T has become an invisible technology within the disaster management cycle of planning and preparedness, response, recovery, and mitigation. Spatial technologies such as geographic information systems (GIS), remote sensing techniques, spatial data science, artificial intelligence, and machine learning are now widespread and pervasive. Despite these advancements, there is more that can be done to incorporate GIS&T perspectives into disaster management. In this article, we outline important conceptual ideas to consider on the use of GIS&T for disaster management, disaster management organizations that use GIS&T, and practical information to orient newcomers to this exciting and important interdisciplinary combination.