A Mobile Crowdsourcing Platform for Urban Infrastructure Maintenance

Abstract

Geospatial mobile applications interact with local and remote hardware to connect various data sources. These applications are currently evolving to include crowd sourcing functionalities, for citizen participation. In this paper we propose the identification, collection and information exchange of smart objects their geographic information, facilitating connectivity and communication between citizens and local organizations, and building interoperable services with data from sensors, smart physical objects and social media. We propose to identify spatial patterns, report object locations to identify problems and improve maintenance strategies of a city. As a validation of this approach, we develop a mobile mapping and data hub platform to visualize, monitor, and assist urban maintenance planning that enables better interaction between citizens of Smart Cities.

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