Next Article in Journal
Mineralogy of Paleocene Petrified Wood from Cherokee Ranch Fossil Forest, Central Colorado, USA
Previous Article in Journal
Combined Use of C- and X-Band SAR Data for Subsidence Monitoring in an Urban Area
Article Menu
Issue 2 (June) cover image

Export Article

Open AccessArticle
Geosciences 2017, 7(2), 22;

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

Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, Japan
Center for Spatial Information Science, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba, Japan
College of Economics, Kanto Gakuin University, 1-50-1 Mutsuura-higashi, Kanazawa-ku, Yokohama, Japan
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
Full-Text   |   PDF [3359 KB, uploaded 10 April 2017]   |  


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

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Geosciences EISSN 2076-3263 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top