Research addressing sustainable urban planning, community development, cultural heritage, and green mobility.
Research on Sustainable Cities & Communities [List] (11.1)
Introduction:
Al-Ahliyya Amman University (AAU) demonstrates a strong research commitment to advancing Sustainable Cities and Communities (SDG 11) through interdisciplinary studies that integrate architecture, urban planning, cultural heritage preservation, community development, environmental design, and smart mobility solutions.
The university’s research ecosystem supported by the Faculty of Architecture & Design, the Hourani Center for Applied Scientific Research, the Center for Innovation and Entrepreneurship, the Sustainability & International Ranking Center (SIRC), and the Global Engagement Center promotes applied, community-driven, and policy-relevant scholarship that responds to local and regional urban challenges.
AAU’s research contributions span diverse themes including:
- sustainable and resilient urban planning;
- green building technologies and low-carbon construction materials;
- cultural heritage documentation and conservation;
- community engagement in urban development;
- pedestrian-friendly and human-centered design;
- smart and AI-assisted design methodologies;
- sustainable mobility, commuting behavior, and transport equity;
- affordable and inclusive housing systems;
- climate-adaptive architecture and landscape design.
These research outputs support Jordan’s national urban strategies while contributing to global knowledge on sustainable cities, green infrastructure, and cultural resilience. AAU also collaborates with municipalities, industry partners, regional networks, and international institutions to ensure the practical application of research outcomes in real-world urban environments.
The following list presents key research publications, projects, workshops, field studies, and academic outputs produced by AAU faculty and researchers that directly address SDG11 and strengthen the university’s role as a driver of sustainable, inclusive, and culturally vibrant communities.
| # | Research Title | Link |
| 1. |
Exploring the Nexus between Fintech, natural resources, urbanization, and environment sustainability in China: A QARDL study
|
https://www.scopus.com/pages/publications/85181151386?inward |
| 2. |
VANET Network Traffic Anomaly Detection Using GRU-Based Deep Learning Model |
https://www.scopus.com/pages/publications/85174860980?inward |
| 3. |
Exploring Traffic Crash Narratives in Jordan Using Text Mining Analytics |
https://www.scopus.com/pages/publications/85199464639?inward |
| 4. |
Modeling of traffic at a road crossing and optimization of waiting time of the vehicles |
https://www.scopus.com/pages/publications/85191943781?inward |
| 5. |
A Hybrid Best-Worst Method (BWM) - Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) Approach for Prioritizing Road Safety Improvements |
https://www.scopus.com/pages/publications/85187122666?inward |
| 6. |
Vehicular Fog Resource Allocation Approach for VANETs Based on Deep Adaptive Reinforcement Learning Combined with Heuristic Information |
https://www.scopus.com/pages/publications/85203402738?inward |
| 7. |
Leveraging Aquaculture and Mariculture for Sustainable Economic Growth in Sri Lanka: Challenges and Opportunities |
https://www.scopus.com/pages/publications/85207384833?inward |
| 8. |
Multi-criteria sustainability assessment of solid waste management in Jordan |
https://www.scopus.com/pages/publications/85199058640?inward |
| 9. |
Enhancing internet of things security: evaluating machine learning classifiers for attack prediction |
https://www.scopus.com/pages/publications/85201046816?inward |
| 10. |
Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems |
https://www.scopus.com/pages/publications/85210610356?inward |