Key Performance Indicators for Sustainable Campus Assessment: A Case of Andalas University

Sustainable campus has became an important issue amongst universities around the world. Universities can generate a significant impacts to environment due to the high usage of energy, extensive transportation, massive waste, high consumption of materials, and extensive development of buildings and facilities. Thus, there is a need to assess the sustainable campus performance. This paper proposes a set of key performance indicators (KPIs) for sustainable campus assessment consisting of six categories divided into a total of 35 indicators. Analytical Hierarchy Process (AHP) method is applied to determine the importance weight of the KPIs. The results indicated the most important category for the sustainable campus assessment is education with an importance weight of 0.2665, while energy and climate change is regarded as the least important category. It is hoped the proposed KPIs can assist the universities to achieve the higher performance in sustainable campus

Relationship between sleep and symptoms of tear dysfunction in Singapore Malays and Indians

10.1167/iovs.19-26810Investigative Ophthalmology and Visual Science6061889-189

Engineering Spatial Analysis in Real Estate Applications

This paper considers the urban processes that real estate (RE) experts use in assessing the value of a certain property, based on characteristics of that property and its environment. The main objective is to illustrate the confluence of RE decisional processes and spatial analysis and to show how these techniques can be put to work together. This paper describes a software package specifically designed for supporting spatial analysis of urban data collections. This software can serve as a reference architecture for developing applications that support decisional processes in real estate. Based on geographical features, the computational environment supports appraisal of a wide range of real estate types and can also create analytical maps for use in developing plans and strategies. A case study demonstrates how the computational environment can improve the quality of the diagnosis of urban real estate in a region that has been selected for a prototype implementation

Location choice for direct foreign investment in new hospitals in China by using ANP and TOPSIS

Location choice, Foreign direct investment (FDI), Hospital, China, ANP, TOPSIS,