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Janayuja: A People-centric Platform to Generate Reliable and Actionable Insights for Civic Agencies

Published: 01 December 2015 Publication History

Abstract

With the proliferation of smartphone apps, social media, and online forums, modern citizens are actively discussing and expressing opinions about city related issues in open public forums on the web. This paper presents a people-centric platform, Janayuja, that can act as an effective conduit between residents and civic agencies, by collecting timely information from different online sources and providing actionable insights to the agencies on pressing city issues. In particular, we elaborate on four major components of the platform: (i) curation of reports from heterogeneous data sources; (ii) categorization of individual reports into relevant issues (e.g. bus breakdown) using suitable classification techniques; (iii) aggregation of related reports (in the spatio-temporal sense) to identify specific issues pivoted to distinct city locations; and (iv) verification of issues to ensure reliability of information being provided to the agencies. Janayuja is deployed for the largest public transport agency in Bangalore, India. Based on insights generated by Janayuja, the agency can better manage their current operations, understand and anticipate new requirements from commuters (e.g. for new bus routes) and, in turn, encourage greater usage of a public transportation system.

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        cover image ACM Conferences
        DEV '15: Proceedings of the 2015 Annual Symposium on Computing for Development
        December 2015
        186 pages
        ISBN:9781450334907
        DOI:10.1145/2830629
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Published: 01 December 2015

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        Author Tags

        1. crowdsourcing
        2. data science
        3. trust
        4. urban informatics

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        ACM DEV '15: Annual Symposium on Computing for Development
        December 1 - 2, 2015
        London, United Kingdom

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        DEV '15 Paper Acceptance Rate 13 of 50 submissions, 26%;
        Overall Acceptance Rate 52 of 164 submissions, 32%

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        View all
        • (2022)Ensemble Semi-supervised Machine Learning Algorithm for Classifying Complaint TweetsMachine Intelligence and Smart Systems10.1007/978-981-16-9650-3_5(65-74)Online publication date: 24-May-2022
        • (2019)My City, My VoiceProceedings of the ACM India Joint International Conference on Data Science and Management of Data10.1145/3297001.3297008(52-60)Online publication date: 3-Jan-2019
        • (2019)Nowcasting earthquake damages with TwitterEPJ Data Science10.1140/epjds/s13688-019-0181-08:1Online publication date: 31-Jan-2019
        • (2018)CiticafeProceedings of the 23rd International Conference on Intelligent User Interfaces10.1145/3172944.3172955(617-628)Online publication date: 5-Mar-2018
        • (2018)CiticafeProceedings of the ACM India Joint International Conference on Data Science and Management of Data10.1145/3152494.3152511(180-189)Online publication date: 11-Jan-2018
        • (2017)Web and Social Media Analytics towards Enhancing Urban TransportationsProceedings of the 2nd International Workshop on Network Data Analytics10.1145/3068943.3068950(1-7)Online publication date: 14-May-2017
        • (2016)Adopting incentive mechanisms for large-scale participation in mobile crowdsensingHuman-centric Computing and Information Sciences10.1186/s13673-016-0080-36:1(1-31)Online publication date: 1-Dec-2016
        • (2016)EstaVisProceedings of the Second International Conference on IoT in Urban Space10.1145/2962735.2962749(65-70)Online publication date: 24-May-2016

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