The participatory sensing platform driven by UGC for the evaluation of living quality in the city

Yang Ting Shen; Yi Shiang Shiu; Wei Kuang Liu; Pei Wen Lu

doi:10.1007/978-3-319-58524-6_41

The participatory sensing platform driven by UGC for the evaluation of living quality in the city

Yang Ting Shen, Yi Shiang Shiu, Wei Kuang Liu, Pei Wen Lu

Department of Geography

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

2 Citations (Scopus)

Abstract

In this paper, we present a mobile-based participatory sensing method to engage citizens’ participation in the living quality evaluation. The system called City Probe consists of the APP and the platform to provide the location-based services. City Probe allows citizens to identify and assess the spatial issues. By using the rating function of City Probe APP, citizens can turn the qualitative spatial issues into measurable UGC data. In addition, the UGC data are visualized as (1) rating value map, (2) rating amount map, and (3) rating heat map to present the different quantitative patterns of city. The experiment of arcade survey verifies the value of City Probe by locating and assessing the OCCUPANCY issue.

Original language	English
Title of host publication	Human Interface and the Management of Information
Subtitle of host publication	Supporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings
Editors	Sakae Yamamoto
Publisher	Springer Verlag
Pages	516-527
Number of pages	12
ISBN (Print)	9783319585239
DOIs	https://doi.org/10.1007/978-3-319-58524-6_41
Publication status	Published - 2017 Jan 1
Event	Thematic track on Human Interface and the Management of Information, held as part of the 19th International Conference on Human–Computer Interaction, HCI International 2017 - Vancouver, Canada Duration: 2017 Jul 9 → 2017 Jul 14

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10274 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	Thematic track on Human Interface and the Management of Information, held as part of the 19th International Conference on Human–Computer Interaction, HCI International 2017
Country	Canada
City	Vancouver
Period	17-07-09 → 17-07-14

Fingerprint

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Cite this

Shen, Y. T., Shiu, Y. S., Liu, W. K., & Lu, P. W. (2017). The participatory sensing platform driven by UGC for the evaluation of living quality in the city. In S. Yamamoto (Ed.), Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings (pp. 516-527). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10274 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-58524-6_41

Shen, Yang Ting ; Shiu, Yi Shiang ; Liu, Wei Kuang ; Lu, Pei Wen. / The participatory sensing platform driven by UGC for the evaluation of living quality in the city. Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings. editor / Sakae Yamamoto. Springer Verlag, 2017. pp. 516-527 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Shen, YT, Shiu, YS, Liu, WK & Lu, PW 2017, The participatory sensing platform driven by UGC for the evaluation of living quality in the city. in S Yamamoto (ed.), Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10274 LNCS, Springer Verlag, pp. 516-527, Thematic track on Human Interface and the Management of Information, held as part of the 19th International Conference on Human–Computer Interaction, HCI International 2017, Vancouver, Canada, 17-07-09. https://doi.org/10.1007/978-3-319-58524-6_41

The participatory sensing platform driven by UGC for the evaluation of living quality in the city. / Shen, Yang Ting; Shiu, Yi Shiang; Liu, Wei Kuang; Lu, Pei Wen.

Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings. ed. / Sakae Yamamoto. Springer Verlag, 2017. p. 516-527 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10274 LNCS).

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

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AB - In this paper, we present a mobile-based participatory sensing method to engage citizens’ participation in the living quality evaluation. The system called City Probe consists of the APP and the platform to provide the location-based services. City Probe allows citizens to identify and assess the spatial issues. By using the rating function of City Probe APP, citizens can turn the qualitative spatial issues into measurable UGC data. In addition, the UGC data are visualized as (1) rating value map, (2) rating amount map, and (3) rating heat map to present the different quantitative patterns of city. The experiment of arcade survey verifies the value of City Probe by locating and assessing the OCCUPANCY issue.

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Shen YT, Shiu YS, Liu WK, Lu PW. The participatory sensing platform driven by UGC for the evaluation of living quality in the city. In Yamamoto S, editor, Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings. Springer Verlag. 2017. p. 516-527. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-58524-6_41

Access to Document

10.1007/978-3-319-58524-6_41