Two short papers to be presented at GIScience 2018 in Melbourne, Australia

Tags: 
giscience / dockless / openpoi

We are excited to be presenting two short (peer reviewed) papers at the 10th International Conference on Geographic Information Science (GIScience 18) in Melbourne, Australia at the end of August. The two papers cover very different topics, but both very relevant to human activity behavior and mobility. More information on the papers, including abstracts, are below:

Docked vs. Dockless Bike-sharing: Contrasting Spatiotemporal Patterns
U.S. urban centers are currently experiencing explosive growth in commercial dockless bike-sharing services. Tens of thousands of bikes have shown up across the country in recent months providing limited time for municipal governments to set regulations or assess their impact on government-funded dock-based bike-sharing programs. Washington, D.C. offers an unprecedented opportunity to examine the activity patterns of both docked and dockless bike-sharing services given the history of bike-sharing in the city and the recent availability of dockless bike data. This work presents an exploratory step in understanding how dockless bike-sharing services are being used within a city and the ways in which the activity patterns differ from traditional dock station-based programs.

OpenPOI: An Open Place of Interest Platform
Places of Interest (POI) are a principal component of how human behavior is captured in today's geographic information. Increasingly, access to POI datasets are being restricted -- even silo-ed -- for commercial use, with vendors often impeding access to the very users that contribute the data. Open mapping platforms such as OpenStreetMap (OSM) offer access to a plethora of geospatial data though they can be limited in the attribute resolution or range of information associated with the data. Nuanced descriptive information associated with POI, e.g., ambience, are not captured by such platforms. Furthermore, interactions with a POI, such as checking in, or recommending a menu item, are inherently place-based concepts. Many of these interactions occur with high temporal volatility that involves frequent interaction with a platform, arguably inappropriate for the ``changeset'' model adopted by OSM and related datasets. In this short paper we propose OpenPOI, an open platform for storing, serving, and interacting with places of interests and the activities they afford.