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Geosciences 2017, 7(2), 22; doi:10.3390/geosciences7020022

A Web GIS Framework for Participatory Sensing Service: An Open Source-Based Implementation

1
Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, Japan
2
Center for Spatial Information Science, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba, Japan
3
College of Economics, Kanto Gakuin University, 1-50-1 Mutsuura-higashi, Kanazawa-ku, Yokohama, Japan
4
Open Concierge, #307 3-21-5 Kandasakumacho, Chiyoda-ku, Tokyo, Japan
*
Author to whom correspondence should be addressed.
Academic Editors: Ruiliang Pu and Jesus Martinez-Frias
Received: 1 March 2017 / Revised: 5 April 2017 / Accepted: 6 April 2017 / Published: 10 April 2017
View Full-Text   |   Download PDF [3359 KB, uploaded 10 April 2017]   |  

Abstract

Participatory sensing is the process in which individuals or communities collect and analyze systematic data using mobile phones and cloud services. To efficiently develop participatory sensing services, some server-side technologies have been proposed. Although they provide a good platform for participatory sensing, they are not optimized for spatial data management and processing. For the purpose of spatial data collection and management, many web GIS approaches have been studied. However, they still have not focused on the optimal framework for participatory sensing services. This paper presents a web GIS framework for participatory sensing service (FPSS). The proposed FPSS enables an integrated deployment of spatial data capture, storage, and data management functions. In various types of participatory sensing experiments, users can collect and manage spatial data in a unified manner. This feature is realized by the optimized system architecture and use case based on the general requirements for participatory sensing. We developed an open source GIS-based implementation of the proposed framework, which can overcome financial difficulties that are one of the major problems of deploying sensing experiments. We confirmed with the prototype that participatory sensing experiments can be performed efficiently with the proposed FPSS. View Full-Text
Keywords: participatory sensing; web GIS; crowdsensing; urban sensing participatory sensing; web GIS; crowdsensing; urban sensing
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MDPI and ACS Style

Nakayama, Y.; Nakamura, K.; Saito, H.; Fukumoto, R. A Web GIS Framework for Participatory Sensing Service: An Open Source-Based Implementation. Geosciences 2017, 7, 22.

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