Can social media play a role in the development of building occupancy curves?

Robert Stewart; Jesse Piburn; Eric Weber; Marie Urban; April Morton; Gautam Thakur; Budhendra Bhaduri

doi:10.1007/978-3-319-22786-3_6

Can social media play a role in the development of building occupancy curves?

Robert Stewart, Jesse Piburn, Eric Weber, Marie Urban, April Morton, Gautam Thakur, Budhendra Bhaduri

Geoinformatics Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

The demand for building occupancy estimation continues to grow in a wide array of application domains, such as population distribution modeling, green building technologies, public safety, and natural hazards loss analytics. While much has been gained in using survey diaries, sensor technologies, and dasymetric modeling, the volume and velocity of social media data provide a unique opportunity to measure and model occupancy patterns with unprecedented temporal and spatial resolution. If successful, patterns or occupancy curves could describe the fluctuations in population across a 24 h period for a single building or a class of building types. Although social media hold great promise in responding to this need, a number of challenges exist regarding representativeness and fitness for purpose that, left unconsidered, could lead to erroneous conclusions about true building occupancy. As a mode of discussion, this chapter presents an explicit social media model that assists in delineating and articulating the specific challenges and limitations of using social media. It concludes by proposing a research agenda for further work and engagement in this domain.

Original language	English
Title of host publication	Advances in Geocomputation - Geocomputation 2015—The 13th International Conference
Editors	Daniel A. Griffith, Yongwan Chun, Denis J. Dean
Publisher	Springer Heidelberg
Pages	59-66
Number of pages	8
ISBN (Print)	9783319227856
DOIs	https://doi.org/10.1007/978-3-319-22786-3_6
State	Published - 2017
Event	13th International Conference on Advances in Geocomputation, Geocomputation 2015 - Dallas, United States Duration: May 20 2015 → May 23 2015

Publication series

Name	Advances in Geographic Information Science
Volume	0
ISSN (Print)	1867-2434
ISSN (Electronic)	1867-2442

Conference

Conference	13th International Conference on Advances in Geocomputation, Geocomputation 2015
Country/Territory	United States
City	Dallas
Period	05/20/15 → 05/23/15

Funding

This manuscript has been authored by employees of UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy. Accordingly, the United States Government retains, and the publisher, by accepting the article for publication, acknowledges that the United States Government retains, a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript or allow others to do so, for United States Government purposes.

Keywords

Building occupancy
Population
Small area estimation
Social media

Access to Document

10.1007/978-3-319-22786-3_6

Cite this

Stewart, R., Piburn, J., Weber, E., Urban, M., Morton, A., Thakur, G., & Bhaduri, B. (2017). Can social media play a role in the development of building occupancy curves? In D. A. Griffith, Y. Chun, & D. J. Dean (Eds.), Advances in Geocomputation - Geocomputation 2015—The 13th International Conference (pp. 59-66). (Advances in Geographic Information Science; Vol. 0). Springer Heidelberg. https://doi.org/10.1007/978-3-319-22786-3_6

@inproceedings{30c45d214941424da8f3db3cdb01ba1a,

title = "Can social media play a role in the development of building occupancy curves?",

abstract = "The demand for building occupancy estimation continues to grow in a wide array of application domains, such as population distribution modeling, green building technologies, public safety, and natural hazards loss analytics. While much has been gained in using survey diaries, sensor technologies, and dasymetric modeling, the volume and velocity of social media data provide a unique opportunity to measure and model occupancy patterns with unprecedented temporal and spatial resolution. If successful, patterns or occupancy curves could describe the fluctuations in population across a 24 h period for a single building or a class of building types. Although social media hold great promise in responding to this need, a number of challenges exist regarding representativeness and fitness for purpose that, left unconsidered, could lead to erroneous conclusions about true building occupancy. As a mode of discussion, this chapter presents an explicit social media model that assists in delineating and articulating the specific challenges and limitations of using social media. It concludes by proposing a research agenda for further work and engagement in this domain.",

keywords = "Building occupancy, Population, Small area estimation, Social media",

author = "Robert Stewart and Jesse Piburn and Eric Weber and Marie Urban and April Morton and Gautam Thakur and Budhendra Bhaduri",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2017.; 13th International Conference on Advances in Geocomputation, Geocomputation 2015 ; Conference date: 20-05-2015 Through 23-05-2015",

year = "2017",

doi = "10.1007/978-3-319-22786-3_6",

language = "English",

isbn = "9783319227856",

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publisher = "Springer Heidelberg",

pages = "59--66",

editor = "Griffith, {Daniel A.} and Yongwan Chun and Dean, {Denis J.}",

booktitle = "Advances in Geocomputation - Geocomputation 2015—The 13th International Conference",

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Stewart, R, Piburn, J, Weber, E, Urban, M, Morton, A, Thakur, G & Bhaduri, B 2017, Can social media play a role in the development of building occupancy curves? in DA Griffith, Y Chun & DJ Dean (eds), Advances in Geocomputation - Geocomputation 2015—The 13th International Conference. Advances in Geographic Information Science, vol. 0, Springer Heidelberg, pp. 59-66, 13th International Conference on Advances in Geocomputation, Geocomputation 2015, Dallas, United States, 05/20/15. https://doi.org/10.1007/978-3-319-22786-3_6

Can social media play a role in the development of building occupancy curves? / Stewart, Robert; Piburn, Jesse; Weber, Eric et al.
Advances in Geocomputation - Geocomputation 2015—The 13th International Conference. ed. / Daniel A. Griffith; Yongwan Chun; Denis J. Dean. Springer Heidelberg, 2017. p. 59-66 (Advances in Geographic Information Science; Vol. 0).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review