Automated Mapping of User Activities onto Flexible Space in Space-Use Analysis

Kim

Advances in Civil Engineering

et al. 2019

Self Cite

Space-use analysis offers quantitative and reliable references to support architects’ decision-making regarding the planning and design of flexible spaces. To allow for automated space-use analyses of such flexible space, it is imperative to create activity and space ontologies that offer systematic and explicit forms representing user activities and the spaces in which they occur. Therefore, this study extends the current research on activity ontologies in order to capture flexible space-use patterns for user activities and develops a new space ontology by abstracting the information related to both flexible and nonflexible spaces. In addition, this study formalizes a framework for an automated space-use analysis implementation process that predicts and updates flexible space utilization by integrating user activity with flexible space. This work contributes to performance-based building design by providing a common, computer-interpretable vocabulary for representing user activities and flexible spaces and a framework for an automated space-use analysis implementation process that informs space utilization (i.e., a space efficiency measurement).

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Flexible Space In Current Space-use Analysis Studiesmentioning

confidence: 99%

Section: Ontologies Representing User Activities and Spacesmentioning

confidence: 99%

See 2 more Smart Citations

Ontology‐Based Representations of User Activity and Flexible Space Information: Towards an Automated Space‐Use Analysis in Buildings

Kim

Advances in Civil Engineering

et al. 2019

Self Cite

Journal of Civil Engineering and Management

“…matching between user activity and free space). Chen and Kim (2017) optimized the current SUTDs and added the seventh space type differentiation, which was whether flexible space could be used. The current SUTDs originate from user activity attributes defined by specialists, which has limitations because of their subjectivity.…”

Section: Sua-based Research In Space Managementmentioning

confidence: 99%

Bim-Based Space Management System for Operation and Maintenance Phase in Educational Office Building

Guo

Xue

Shang

2019

Lists and floor plans have been widely adopted as space management tools for educational office buildings. However, the two-dimensional floor plans fail to present the indoor complexity, which hinders users from intuitively observing the indoor equipment arrangements and adapting to the indoor environment within a short time. Meanwhile, insufficient research has been conducted on space management tools regarding building indoor navigation. A Building Information Modeling Space Management (BIMSM) system was proposed in this study based on BIM. This system is comprised of two components, i.e. indoor space allocation management and indoor path navigation. The real-time space usage can be queried and user demands may be matched with available space by applying the Space Usage Analysis (SUA) theory. After the establishment of indoor maps, an improved A* algorithm is used to provide smooth navigation paths, and the visualization of such paths can be provided in mobile terminals. The BIMSM system was applied in an office building in a university in Shanghai, China. In this case study, the overall user satisfaction reached 91.6% by greatly reducing space arrangement failures. The time indoor navigation took outperformed that based on the traditional A* algorithm, with the search efficiency increasing 5.28%.

J. Constr. Eng. Manage.

Value Generation in Front-End Design of Social Housing with QFD and Multiattribute Utility Theory

Serugga

Kagioglou

Tzortzopoulos³

2020

The design of social housing is a multi-faceted endeavour like in many social projects such as megaprojects whose expected benefits reach beyond a handful of stakeholders. Understanding the requirements of such projects can be a painstaking endeavour and without a structured process to guide decision making, such projects often fail to deliver on their intended benefits. This paper examines how the use of Utility Theory and Quality function deployment (QFD) can serve as a useful basis to support the delivery of such benefits. The research examines a social housing project in Brazil to draw focus on contextual influences on understanding, structuring and delivery of benefits. The approach adopts QFD for requirements management while Utility Theory (UT) assesses utility decision making in raking the housing models on the basis established user requirements and derived design requirements (DRs). While a medium low-income model is preferred best, the next preferred models are very-low, medium-low, medium-high in the order. The analysis indicates no transitivity in preference from an end-user perspective. The novelty of the paper is representing, quantitatively, a process of requirements management that supports the delivery of project benefits on a Utilitarian basis in social housing design. The method is able to account for interdependencies between design and user attributes in supporting social housing design decision making in an integrated process. This understanding can be key to the delivery of the right social projects that reflect context-specific end-2 user needs.