Current public lighting is predominately directed to reducing energy and often is understood as a technical issue rather than a human one, mostly based on photometric visual performance. By taking advantage of the inherent flexibility of current lighting technologies, this research aimed to contribute to a more sustainable lighting design practice, through the design of adaptive lighting solutions that improve the relationship between users, the space they inhabit and energy use. To confirm the hypothesis, it was developed a user-oriented method that considers a specific user-space relationship and the user’s perception of well-being. Tested via two outdoor field experiment in an urban space in the south of Portugal, qualitative and quantitative statistical analysis of the collected data, suggest that the method can provide data to aid the design of more tailored and flexible public lighting solutions that can balance the user-energy relationship, improving the overall sustainability of our cities.

Original languageEnglish
Title of host publicationAdvances in Human Factors, Sustainable Urban Plannin and Infrastructure
Subtitle of host publicationProceedings of the AHFE 2017 International Conference on Human Factors, Sustainable Urban Planning and Infrastructure, 2017
EditorsJ. Charytonowicz
Place of PublicationCham
PublisherSpringer Verlag
Pages106-118
Number of pages13
Edition1
ISBN (Electronic)978-3-319-60450-3
ISBN (Print)978-3-319-60449-7
DOIs
Publication statusPublished - 2018
EventAHFE 2017 International Conference on Human Factors, Sustainable Urban Planning and Infrastructure - The Westin Bonaventure Hotel, Los Angeles, United States
Duration: 17 Jul 201721 Jul 2017

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer International Publishing
Volume600
ISSN (Print)2194-5357

Conference

ConferenceAHFE 2017 International Conference on Human Factors, Sustainable Urban Planning and Infrastructure
CountryUnited States
CityLos Angeles
Period17/07/1721/07/17

    Research areas

  • Adaptive lighting, ALDA method, Lighting design, Sustainability, User-oriented design

ID: 30090780