Adoption and Diffusion of Nature-Based Solutions by Property Owners in Urban Areas: The Case of Green Roofs in Eindhoven, The Netherlands

Author:

López-Maciel Max1ORCID,Roebeling Peter12ORCID,Llewellyn Rick3ORCID,Figueiredo Elisabete4ORCID,Matos Fábio André1ORCID,Mendonça Rita1ORCID,Bastos Maria Isabel1,Mendes Rúben1ORCID,Postmes Luuk5,Van Dinter Mayke56

Affiliation:

1. Centre for Environmental and Maritime Studies (CESAM) & Department of Environment & Planning, Aveiro University, 3810-193 Aveiro, Portugal

2. Wageningen Economic Research, Wageningen University and Research (WUR), 6706 KN Wageningen, The Netherlands

3. Agriculture & Food, Commonwealth Scientific and Industrial and Research Organisation (CSIRO), Waite Campus Urrbrae, Urrbrae, SA 5064, Australia

4. Research Unit on Governance, Competitiveness and Public Policies (GOVCOPP), Department of Social, Political and Territorial Sciences, Aveiro University, 3810-193 Aveiro, Portugal

5. Green and Water Department, Municipality of Eindhoven, 5611 EM Eindhoven, The Netherlands

6. Unit Systemic Urbanism and Real Estate, Department of the Built Environment, Eindhoven University of Technology, Vertigo 8.33, 5600 MB Eindhoven, The Netherlands

Abstract

This article explores general concepts related to the diffusion of innovations theory (DoI) and its use regarding the adoption of nature-based solutions, specifically green roofs, in urban areas by private house/property owners in the city of Eindhoven (Netherlands). Given the gap in knowledge on the potential for the adoption of green roofs by private house/property owners as well as barriers and enablers to their implementation from the DoI perspective, we used a model for predicting the adoption of innovations (ADOPT). Results show that the predicted peak adoption level is 3% and that the time to peak adoption level is 17 years. However, the level of adoption can be significantly enhanced by increasing profit benefit (i.e., cost savings) in the years that they are used (+19 percent points adoption), reducing risk exposure (+17 percent points adoption), and improving ease and convenience (+15 percent points adoption), while the time to peak adoption level can be reduced by enhancing relevant and existing skills and knowledge (−3 years), simplifying trialability and innovation complexity (−2 years), and increasing observability (−1 year). Hence, key factors affecting the adoption of green roofs by private house/property owners have been identified, contributing to the formulation of urban climate change adoption strategies.

Funder

UNaLab project

FCT/MCTES

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation

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