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Predicting green technology innovation in the construction field from a technology convergence perspective: A
Shuai Feng1, Guiwen Liu1, Tianlong Shan1
1School of Management Science and Real Estate, Chongqing University, No.174, Shazheng Street, Shapingba District, Chongqing, 400044, PR China.
Journal of Environmental Management
|November 16, 2024
Summary
This study identifies 305 high-potential green technology convergence opportunities for the construction industry using machine learning. It aids decision-making for sustainable development and green innovation strategies.
Area of Science:
- Construction Technology
- Green Innovation
- Sustainable Development
Background:
- The construction industry is a major global energy consumer and carbon emitter, necessitating green transformation.
- Fostering green technology innovation is key to sustainable development in construction.
- A gap exists in identifying and evaluating green technology innovation opportunities for construction R&D.
Purpose of the Study:
- To propose a two-stage machine learning approach for predicting technology opportunities in construction.
- To identify and evaluate potential green technology convergence opportunities.
- To forecast the technical impact of these convergence opportunities.
Main Methods:
- Utilized a two-stage interpretable machine learning approach.
- Analyzed 600,442 patent documents from green and construction fields.
- Focused on technology convergence to identify innovation opportunities.
Main Results:
- Identified 305 high-potential technology convergence opportunities.
- Highlighted convergence potential for carbon capture, pollution alarms, solar and wind energy, energy-saving methods, and waste materials in water treatment.
- Found technical similarity and proximity are key influencing factors for convergence innovations.
Conclusions:
- Provides decision support for governments and industry stakeholders in green technology innovation.
- Accelerates the green transformation of the construction industry towards sustainability.
- Offers a novel approach for predicting technology opportunities and their impact through convergence.
Keywords:
Construction industryGreen technology innovationInterpretable machine learningTechnology convergenceTechnology predictionMore Related Videos
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