Spatiotemporal crowdsourcing behavior: Analysis on OpenStreetMap

Tzu Yuan Chung, Kun Ta Chuang, Cheng Mao Hsu, Wei Shinn Ku

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We in this paper explore the user-editing behavior for the crowdsourcing-based OpenStreetMap service. OpenStreetMap, which is an open-sourced web-based map service, have been recognized as the indispensable means in disaster rescue and recovery. Self-motivated contributors may cooperate and share important geographic information to support many location-based applications in want of instant responses. As compared to commercial-based map services such as Google Maps, OpenStreetMap creates many new research potentials due to its open-sourced nature. However, the user characteristics of OpenStreetMap is not well discussed such far. In this paper, we study the issue Do contributors behave similarly in different lengths of time intervals? and How contributors behave on the emergent cases such as disaster events?. Surprisingly, we explore the clear power-law phenomenons in most observations. We will demonstrate the new discovery and discuss the help for promising applications.

Original languageEnglish
Title of host publicationTAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages373-380
Number of pages8
ISBN (Electronic)9781467396066
DOIs
Publication statusPublished - 2016 Feb 12
EventConference on Technologies and Applications of Artificial Intelligence, TAAI 2015 - Tainan, Taiwan
Duration: 2015 Nov 202015 Nov 22

Publication series

NameTAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence

Other

OtherConference on Technologies and Applications of Artificial Intelligence, TAAI 2015
CountryTaiwan
CityTainan
Period15-11-2015-11-22

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications

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