Universidad Politécnica de Madrid
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
Universidad Politécnica de Madrid
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
Universidad Politécnica de Madrid
Introduction
Universidad Politécnica de Madrid
Smart City: A Socio-Technical System of Systems
Universidad Politécnica de Madrid
Smart City and Crowdsourcing of Volunteered GI
Universidad Politécnica de Madrid
Crowdsourcing Ecosystem
Universidad Politécnica de Madrid
VGI System Design Framework
Universidad Politécnica de Madrid
Project Initiation, Planning and Design
Universidad Politécnica de Madrid
Project Organization
Universidad Politécnica de Madrid
Project Goal Definition
Universidad Politécnica de Madrid
Project Planning – Crowdsourcing Strategy
Universidad Politécnica de Madrid
Project Design – Central Crowdsourced-Processing Unit
Universidad Politécnica de Madrid
Project Design – Central Crowdsourced-Processing Unit
Universidad Politécnica de Madrid
• 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
Universidad Politécnica de Madrid
Platform Planning and Design
Universidad Politécnica de Madrid
datos.madrid.es : Open Data Input
Universidad Politécnica de Madrid
Urban Smart Features : Datasets
Universidad Politécnica de Madrid
Universidad Politécnica de Madrid
Universidad Politécnica de Madrid
Universidad Politécnica de Madrid
Universidad Politécnica de Madrid
General Process
Diagram
Universidad Politécnica de Madrid
e-Participation Tools
Universidad Politécnica de Madrid
Universidad Politécnica de Madrid
Enabling of
smart
environments
Smart devices
Universidad Politécnica de Madrid
Universidad Politécnica de Madrid
Social media channels
for citizen engagement
and further interaction
Universidad Politécnica de Madrid
Open Data enabled
Channels
Universidad Politécnica de Madrid
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
Universidad Politécnica de Madrid
Conclusions
Universidad Politécnica de Madrid
José Pablo Gómez Barrón Sierra
E: jpablo.gomezb@gmail.com, josepablo.gomezbarron@upm.es
t : @jpablogomezb
Thanks for your attention

Designing a web-based platform for crowdsourced reports and social media participation to improve urban smart environments

Editor's Notes

  • #2 Grupo de Investigación MERCATOR (UPM)