TY - GEN
T1 - Monitoring Cities’ Environmental Sustainability
T2 - 2022 17th Iberian Conference on Information Systems and Technologies (CISTI)
AU - Pacheco, Pedro Miguel Escaleira
AU - Neto, Miguel de Castro
N1 - Pacheco, P. M. E., & Neto, M. D. C. (2022). Monitoring Cities’ Environmental Sustainability : Lisbon’s Case Study. In 2022 17th Iberian Conference on Information Systems and Technologies (CISTI): proceedings (pp. 1-7). (CISTI 2022. 17th Iberian Conference on Information Systems and Technologies, 22-25 June 2022, Madrid, Spain). IEEE. ISBN: 978-9-8933-3436-2. https://doi.org/10.23919/CISTI54924.2022.9820501------------------------FUNDING: Work developed as a contribution to Project C-TECH — Climate Driven Technologies for Low Carbon Cities (reference 045919), co-financed by the ERDF — European Regional Development Fund through the Operational Program for Competitiveness and Internationalisation — COMPETE 2020, the North Portugal Regional Operational Program — NORTE 2020 and by the Portuguese Foundation for Science and Technology — FCT under MIT Portugal.
PY - 2022/6/22
Y1 - 2022/6/22
N2 - In a world of increasing urbanization and where climate change is a growing concern, data presents itself as way to measure the established efforts and forecast future needs and policies as Lisbon finds means to solve some of the major problems that come with being a large city such as air quality and pollution, waste management, mobility, and overall quality of life for its residents. As such, this project developed a dashboard in a BI visualization tool comprised of metrics and indicators based on a tailored framework from the city derived from pre-existing frameworks and conversations with Lisbon’s city experts. The result is a prototypical dashboard that can be built upon in the future, once the city invests in a stronger ICT infrastructure that allows for the collection of data to support a project of this nature, something that, currently, is lacking.
AB - In a world of increasing urbanization and where climate change is a growing concern, data presents itself as way to measure the established efforts and forecast future needs and policies as Lisbon finds means to solve some of the major problems that come with being a large city such as air quality and pollution, waste management, mobility, and overall quality of life for its residents. As such, this project developed a dashboard in a BI visualization tool comprised of metrics and indicators based on a tailored framework from the city derived from pre-existing frameworks and conversations with Lisbon’s city experts. The result is a prototypical dashboard that can be built upon in the future, once the city invests in a stronger ICT infrastructure that allows for the collection of data to support a project of this nature, something that, currently, is lacking.
KW - Lisbon
KW - Sustainability
KW - Dashboard
KW - Data-driven decisions
KW - Data
UR - http://www.scopus.com/inward/record.url?scp=85134823597&partnerID=8YFLogxK
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000848616300295
U2 - 10.23919/CISTI54924.2022.9820501
DO - 10.23919/CISTI54924.2022.9820501
M3 - Conference contribution
SN - 978-1-6654-9812-8
T3 - Iberian Conference on Information Systems and Technologies, CISTI
SP - 1
EP - 7
BT - 2022 17th Iberian Conference on Information Systems and Technologies (CISTI)
A2 - Rocha, Alvaro
A2 - Bordel, Borja
A2 - Penalvo, Francisco Garcia
A2 - Goncalves, Ramiro
PB - IEEE Computer Society
Y2 - 22 June 2022 through 25 June 2022
ER -
