Automated Mapping Methodology and Case Study of Healthcare User Activities and Spaces from a Sustainable Perspective

Xuekelaiti Haiyirete, Jian Wang (), Xiaochang Gan, Xinjie Liu and Ayiguzhali Tuluhong
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Xuekelaiti Haiyirete: College of Civil Engineering and Architecture, Xinjiang University, Urumqi 830047, China
Jian Wang: School of Business, Xinjiang University, Urumqi 830091, China
Xiaochang Gan: School of Business, Xinjiang University, Urumqi 830091, China
Xinjie Liu: School of Business, Xinjiang University, Urumqi 830091, China
Ayiguzhali Tuluhong: School of Electrical Engineering, Xinjiang University, Urumqi 830047, China

Sustainability, 2024, vol. 16, issue 3, 1-22

Abstract: Operational inefficiencies in healthcare buildings and sustainability issues have become increasingly prominent. The root cause of this phenomenon is the irregular and incomplete structured data related to hospital user activities and spaces that are difficult to resolve using traditional manual methods. In order to solve this problem, an automated mapping approach is presented for hospital user activity and space. Using the Revit API technology and the C# language on the Visual Studio platform, a program for automated mapping is developed. It achieves the automatic mapping of hospital user activities and spaces, along with automatic calculation of utilization rates. An illustrative case study is conducted, focusing on the activity data and building space utilization of healthcare users at Shanghai Renji Hospital. The results indicate that (1) This method can realize the automatic combination of hospital user activities and hospital spaces, and hospital administrators can optimize the utilization rate of hospital spaces quickly and accurately. (2) This approach is highly adaptable, especially to changes in hospital user activities and hospital spatial data. (3) This method promotes the sustainable development of healthcare buildings and has great practical application value.

Keywords: hospital space management; flexible space; activity–space automated mapping; Revit; C# language (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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