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This paper aims to examine accessibility in the built environment and tries to determine the physical and attitudinal barriers affecting Persons with Visual Disabilities' (PWVDs) experience on the University of Jordan (UJ) campus.

This is a descriptive mixed-methods study, based on the following: data collection regarding PWVDs' services at UJ; semi-structured interviews with PWVDs and with some employees at UJ; observations, photographs and direct measurements during campus tours; accompanying one student with poor eyesight when navigating through UJ campus; then, analyzing data in light of the national code's accessibility checklist.

UJ campus suffers from many shortcomings regarding accessibility; these include an insufficient pedestrian environment, limited tactile paths, low illuminance levels in lecture halls and other inadequate services. Besides, there are many infringements on PWVDs' paths, due to either new expansions or unconscious behavior. Moreover, interpersonal barriers prevent PWVDs from using assistive equipment and accommodation. The study concludes that preserving pedestrians' rights, monitoring new expansions, renovating the UJ campus in accordance with national codes and international standards, improving PWVDs services and awareness-raising programs are needed to ensure accessibility for PWVDs.

New legislation has been recently passed regarding accessibility in Jordan, and – on the UJ campus – the first phase of tactile paving has been installed. This paper is believed to be the first of its kind to evaluate PWVDs' services following the new changes. The study's methodology might also be deemed useful to stakeholders when enabling the built environment.

Accurate prediction of the structural condition of urban critical infrastructure is crucial for predictive maintenance. However, the existing prediction methods lack precision due to limitations in utilizing heterogeneous sensing data and domain knowledge as well as insufficient generalizability resulting from limited data samples. This paper integrates implicit and qualitative expert knowledge into quantifiable values in tunnel condition assessment and proposes a tunnel structure prediction algorithm that augments a state-of-the-art attention-based long short-term memory (LSTM) model with expert rating knowledge to achieve robust prediction results to reasonably allocate maintenance resources.

Through formalizing domain experts' knowledge into quantitative tunnel condition index (TCI) with analytic hierarchy process (AHP), a fusion approach using sequence smoothing and sliding time window techniques is applied to the TCI and time-series sensing data. By incorporating both sensing data and expert ratings, an attention-based LSTM model is developed to improve prediction accuracy and reduce the uncertainty of structural influencing factors.

The empirical experiment in Dalian Road Tunnel in Shanghai, China showcases the effectiveness of the proposed method, which can comprehensively evaluate the tunnel structure condition and significantly improve prediction performance.

This study proposes a novel structure condition prediction algorithm that augments a state-of-the-art attention-based LSTM model with expert rating knowledge for robust prediction of structure condition of complex projects.

The issue of energy efficiency is becoming increasingly prevalent globally due to factors such as the expansion of the population, economic growth and excessive consumption that is not sustainable in the long run. Additionally, healthcare facilities and hospitals are facing challenges as their operational costs continue to rise. The research aim is to develop strategic frameworks for managing green hospitals, towards energy efficiency and corporate governance in hospitals and healthcare facilities.

This research employs a qualitative case study approach, with a sample of ten hospitals examined through interviews with senior management, executives and healthcare facilities managers. Relevant data was also collected from literature and analysed through critical appraisal and content analysis. The research methodology is based on the use of grounded theory research methodologies to build theories from case studies.

The research developed three integrated conceptual strategic frameworks for managing hospitals and healthcare facilities towards energy efficiency, green hospital initiatives and corporate governance. The research also outlined the concepts of green hospitals and energy efficiency management systems and best practices based on the conclusions drawn from the investigated case studies.

The study is limited to the initiatives and experiences of the healthcare facilities studied in the Middle East and North Africa (MENA) region.

The research findings, conclusions, recommendations and proposed frameworks and concepts contribute significantly to the existing body of knowledge. This research also provides recommendations for hospital managers and policymakers on how to effectively implement and manage energy efficiency initiatives in healthcare facilities.