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Citizens' preferences on smart energy technologies and services for smart districts

Title data

Arnold, Laurin ; Graf-Drasch, Valerie ; Wolf, Linda ; Gimpel, Henner ; Keller, Robert:
Citizens' preferences on smart energy technologies and services for smart districts.
In: Cities. Vol. 151 (2024) . - 104748.
ISSN 1873-6084

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
ODH Bochum-Weitmar
No information

Abstract in another language

The design of sustainable urban environments is one of the most pressing endeavors. Particularly the emergence of digital technologies has triggered a range of technocentric movements for urban development, such as smart cities or districts. City stakeholders, including city or district planners, public administrators, or governance stakeholders, expect technological innovations to enhance life in the city. However, citizens are underrepresented in discussions about respective technical designs. Against this backdrop, we measure 2930 German citizens' preferences for smart energy technologies and services of future smart districts as a small subarea of the city and starting point for larger change. Using Best-Worst scaling, we find that citizens prefer local energy storage, photovoltaic, and district and local heating systems. Further, a cluster analysis reveals three distinct clusters of citizens with different preferences. We describe the clusters in terms of socio-demographics, living situation, attitude to sustainability, and affinity for technology. Results provide insight by revealing citizens' preferences for smart energy technologies and services that can inform the design of future citizen-centered smart districts.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Smart city; Smart district; Preference; Behavioral change; Best-worst scaling
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 12 Jun 2024 08:58
Last Modified: 12 Jun 2024 08:58