Presentation during the Panel: Smart City & Citizen e-Participation At the International Conference URBAN E-PLANNING: Recent Developments, Emerging Issues and Future Challenges. (Work in-progress)

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A web-based platform for crowdsourced reports
and social media participation to improve
urban smart environments
José Pablo Gómez Barrón Sierra
Miguel Ángel Manso Callejo
Ramón Alcarria Garrido
March 31, 2016
Panel: Smart City & Citizen e-Participation
Instituto de Geografia e Ordenamento do Território
Universidade de Lisboa, Portugal
International Conference URBAN E-PLANNING: Recent
Developments, Emerging Issues and Future Challenges

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Presentation Outline
1.1. Smart City: A Socio-Technical System of Systems
1. Introduction
1.2. Smart City and Crowdsourcing of Volunteered GI
1.3. Crowdsourcing Ecosystem
1.4. VGI System Design Framework
2. Project Initiation, Planning & Design
3. Platform Planning & Design
4. Conclusions

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Introduction

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Smart City: A Socio-Technical System of Systems

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Smart City and Crowdsourcing of Volunteered GI

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Crowdsourcing Ecosystem

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VGI System Design Framework

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Project Initiation, Planning and Design

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Project Organization

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Project Goal Definition

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Project Planning – Crowdsourcing Strategy

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Project Design – Central Crowdsourced-Processing Unit

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Project Design – Central Crowdsourced-Processing Unit

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• It is required that the rationale of the participants to
contribute are aligned with the long-term goal of the VGI
initiative
• Use and accept the crowdsourcing technology and the
dynamic of the crowdsourcing process employed.
A VGI Project depends on the scale of the
crowd and community participation

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Platform Planning and Design

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datos.madrid.es : Open Data Input

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Urban Smart Features : Datasets

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General Process
Diagram

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e-Participation Tools

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Enabling of
smart
environments
Smart devices

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Social media channels
for citizen engagement
and further interaction

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Open Data enabled
Channels

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APIs: Open Data Output
• Geospatial Database:
• Spatial SQL APIs
• Data visualization APIs (maps)
• Export data in multiple formats (GeoJSON, KML,
SHP, XLS, etc.)
• GIS support: WMS, WFS and WFS-T services
• Elasticsearch:
• Developer-Friendly, RESTful API (JSON)
• Scheme-free (helpful w/ unstructured content)
• Real-Time data search and analytics
• Full-Text Search
• Visualize Data from diverse source pipelines

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Conclusions

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José Pablo Gómez Barrón Sierra
E: jpablo.gomezb@gmail.com, josepablo.gomezbarron@upm.es
t : @jpablogomezb
Thanks for your attention