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Author: Samuel Toepke

Affiliation: Private Engineering Firm, United States

ISBN: 978-989-758-188-5

Keyword(s): Population Estimation, Structure Occupancy Curve, Gis, Social Media, Geofencing, Enterprise Architecture, Volunteered Geographic Data.

Related Ontology Subjects/Areas/Topics: Applications ; Pattern Recognition ; Web Applications

Abstract: Human-use statistics of an occupied building are critical for resource consumption planning, emergency/crisis response, and long-term community design. Without an active access-control policy, it is difficult to get an accurate measure of the spatiotemporal occupancy of a building during use hours. This research presents a novel method of estimating building use patterns, based on freely available and volunteered data from social media. Modern social media services such as Twitter and Instagram give users the ability to create geospatially enabled posts, submitted using pervasive computing devices. By applying geofencing to the pertinent social media data, an aggregate estimate of 24-hour use can be generated for a structure. Using geospatial data from the aforementioned social media services, steps for gaining the aggregate building occupation estimations are delineated, several high-traffic buildings are selected as use cases, and results/follow-on work are discussed.

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Paper citation in several formats:
Toepke S. (2016). Structure Occupancy Curve Generation using Geospatially Enabled Social Media Data.In Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and ManagementISBN 978-989-758-188-5, pages 32-38. DOI: 10.5220/0005822800320038

@conference{gistam16,
author={Samuel Toepke},
title={Structure Occupancy Curve Generation using Geospatially Enabled Social Media Data},
booktitle={Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management},
year={2016},
pages={32-38},
doi={10.5220/0005822800320038},
isbn={978-989-758-188-5},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management
TI - Structure Occupancy Curve Generation using Geospatially Enabled Social Media Data
SN - 978-989-758-188-5
AU - Toepke S.
PY - 2016
SP - 32
EP - 38
DO - 10.5220/0005822800320038

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