Planning sustainable urban lighting for biodiversity and society

Planifier un éclairage urbain durable pour la biodiversité et la société

Léa Tardieu (), Chloé Beaudet (), Sarah Potin, Julie Chaurand (), Léa Mariton (), Vincent Delbar () and Maia David ()
Additional contact information
Léa Tardieu: UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - AgroParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CIRED - Centre International de Recherche sur l'Environnement et le Développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique - ENPC - École nationale des ponts et chaussées - IP Paris - Institut Polytechnique de Paris
Chloé Beaudet: UMR PSAE - Paris-Saclay Applied Economics - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Sarah Potin: LA TELESCOP
Julie Chaurand: LA TELESCOP
Léa Mariton: CESCO - Centre d'Ecologie et des Sciences de la COnservation - MNHN - Muséum national d'Histoire naturelle - SU - Sorbonne Université - CNRS - Centre National de la Recherche Scientifique
Vincent Delbar: LA TELESCOP
Maia David: UMR PSAE - Paris-Saclay Applied Economics - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

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Abstract: Urban planners continuously face the challenge of reducing artificial lighting to protect biodiversity while ensuring urban residents comfort and safety at night. Striking this balance is crucial for supporting urban residents broadly, yet it remains insufficiently explored in current research. Here, we integrate remote sensing and ecological modelling to assess species' requirements around light pollution reduction with socio-economic modelling to evaluate human residents' acceptance of various street-lighting adjustments, aiming to identify the optimal lighting compromises for Montpellier, France, a mid-sized European city. We show that, depending on the spatial context, both trade-offs and synergies can emerge when implementing light pollution mitigation measures. By integrating results into an RShiny application, we enabled urban planners to prioritize actions for each streetlight. Our findings underscore the importance of tailoring lighting policies to the specific environmental and social context rather than adopting a universal 'one-size-fits-all' approach.

Keywords: Light pollution; socio-economic modelling; remote sensing; ecological modelling; ALAN; sustainable lighting (search for similar items in EconPapers)
Date: 2025-06-20
New Economics Papers: this item is included in nep-ene and nep-env
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Published in Nature Cities, 2025, 2, pp.518-531. ⟨10.1038/s44284-025-00245-7⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05138150

DOI: 10.1038/s44284-025-00245-7

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