Publication | Closed Access
Planning with Crowdsourced Data
120
Citations
41
References
2015
Year
Unknown Venue
Artificial IntelligenceEngineeringUrban InformaticsSmart CityDigital DemocracyCommunicationNew EraComputational Social ScienceData ScienceManagementData IntegrationRobot LearningHuman ComputationData ManagementCivic EngagementPublic PolicyParticipatory SensingUrban PlanningCrowdsourced DataComputer ScienceMobile ComputingCrowdsourcingCrowd ComputingSocial ComputingVolunteered Geographic InformationHuman-computer InteractionPlanningData Modeling
We are in the midst of a new era of experimentation that blends social and mobile computing in support of digital democracy. These experiments will have potentially long lasting consequences on how the public is invited to partic-ipate in governance by elected as well as professional offi-cials. In this paper, we look at how data from a purpose-built smartphone app we deployed were incorporated into a three-day urban planning event. The data collected were meant to help inform design decisions for new cycling in-frastructure and to provide an alternate means for partici-pating in the planning process. Through our analysis, we point to three distinct roles the data played at the event-as authority, as evidence, and as ambivalent. Each role demonstrates the challenge and potential for turning to crowdsourced data as a form of participation and as a re-source for urban planning.
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