TY - JOUR
T1 - ENER-BI: Integrating Energy and Spatial Data for Cities’ Decarbonisation Planning
T2 - Integrating energy and spatial data for cities’ decarbonisation planning
AU - Urrutia-Azcona, Koldo
AU - Usobiaga-Ferrer, Elena
AU - De Agustín-Camacho, Pablo
AU - Molina-Costa, Patricia
AU - Benedito-Bordonau, Mauricia
AU - Flores-Abascal, Iván
N1 - Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/1/4
Y1 - 2021/1/4
N2 - Given the current climate emergency, our planet is suffering. Mitigation measures must be urgently deployed in urban environments, which are responsible for more than 70% of global CO2 emissions. In this sense, a deeper integration between energy and urban planning disciplines is a key factor for effective decarbonisation in urban environments. This is addressed in the Cities4ZERO decarbonisation methodology. This method specifically points out the need for technology-based solutions able to support that integration among both disciplines at a local level, enriching decision-making in urban decarbonisation policy-making, diagnosis, planning, and follow-up tasks, incorporating the spatial dimension to the whole process (GIS-based), as well as the possibilities of the digital era. Accordingly, this paper explores the demands of both integrated urban energy planning and European/Basque energy directives, to set the main requisites and functionalities that Decision Support Systems (DSSs) must fulfil to effectively support city managers and the urban decarbonisation process.
AB - Given the current climate emergency, our planet is suffering. Mitigation measures must be urgently deployed in urban environments, which are responsible for more than 70% of global CO2 emissions. In this sense, a deeper integration between energy and urban planning disciplines is a key factor for effective decarbonisation in urban environments. This is addressed in the Cities4ZERO decarbonisation methodology. This method specifically points out the need for technology-based solutions able to support that integration among both disciplines at a local level, enriching decision-making in urban decarbonisation policy-making, diagnosis, planning, and follow-up tasks, incorporating the spatial dimension to the whole process (GIS-based), as well as the possibilities of the digital era. Accordingly, this paper explores the demands of both integrated urban energy planning and European/Basque energy directives, to set the main requisites and functionalities that Decision Support Systems (DSSs) must fulfil to effectively support city managers and the urban decarbonisation process.
KW - Cities
KW - Decarbonisation
KW - Decision support system
KW - Digital innovation
KW - Energy transition
KW - Smart cities
KW - Smart zero carbon city
KW - Strategic planning
KW - Urban transformation
UR - http://www.scopus.com/inward/record.url?scp=85099132186&partnerID=8YFLogxK
U2 - 10.3390/su13010383
DO - 10.3390/su13010383
M3 - Article
AN - SCOPUS:85099132186
SN - 2071-1050
VL - 13
SP - 1
EP - 15
JO - Sustainability
JF - Sustainability
IS - 1
M1 - 383
ER -