The session recording will be archived on the site until June 25th, 2023

This session was streamed but not recorded

Curated Track: 

Description:

Spatial accessibility measures the ease for people in a particular region (i.e. demand) to access infrastructure of interest (i.e. supply) based on the interaction of supply, demand, and mobility. Low spatial accessibility identifies the spatial mismatch between supply and demand, which in turn suggests spatial impedance and inequality issues. Spatial accessibility measures have a vital role in decision-making processes for the spatial equity of public services because policymakers are helped by them when investigating where additional supply should be provided. The policy implications drive the broad application of spatial accessibility to various urban infrastructure, such as healthcare resources, food outlets, and green space.

In the recent 10 years, the availability of dynamic geospatial data has increased significantly through big-data analysis and open-data policy, particularly the implementation of multimodal transportation and spatial and temporal disaggregation. This advancement facilitates and helps accessibility studies to the great extent, expanding the temporal dimension of spatial accessibility. Specifically, the advent of sophisticated transportation databases, such as the general transit feed specification (GTFS) and Uber Movement, enables the estimation of various travel times per different transportation modes (e.g., public transit, private car) and dynamic travel times under time-variant traffic conditions. In addition, the advent of GPS-equipped devices (e.g., smartphones) facilitates the tracing of anonymized movement of individuals and enhances the space and temporal granularity of data. With improved granularity, it is possible to further investigate the nonhomogeneous distribution of people within conventionally coarser geographical units (e.g., neighborhoods, census tracts) and to systematically estimate the time-variant distribution of floating populations.

We invite talks, which take advantage of the recent data-rich environment for accessibility studies, for this paper session at the 2023 American Association of Geographers Annual Meeting.

Symposium Description:

The Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE, https://iguide.illinois.edu) is supported by the National Science Foundation (NSF) as part of its Harnessing the Data Revolution Big Idea initiative (https://www.nsf.gov/news/special_reports/big_ideas/harnessing.jsp). Sponsored by I-GUIDE, this symposium will explore theories, concepts, methods, and tools focused on data-intensive geospatial understanding for driving innovative artificial intelligence (AI) and cyberGIS (cyber-based geographic information science and systems) approaches to address sustainability challenges such as aging infrastructure, biodiversity loss, and food and water insecurity.

At the AAG 2023 annual meeting, the Symposium on Harnessing the Geospatial Data Revolution for Sustainability Solutions will be held by building on the successes of previous Symposia focused on cyberGIS and geospatial data science at AAG annual meetings since 2011. A suite of paper and panel sessions will address cutting-edge advances of cyberGIS, geospatial AI and data science, and fundamental geospatial understanding derived from spatial and spatiotemporal data synthesis. The topical themes of the symposium will include, but are not limited to, frontiers of cyberGIS, geospatial AI and data science, high-performance computing approaches to geographic problem solving, geographic approaches to resilience and sustainability challenges enabled by AI and cyberGIS, and challenges and opportunities of education and workforce development in harnessing the geospatial data revolution.

Non-Presenting Participants