ARCOM

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Anh Tuan, B L, Tesfamariam, M G, Chen, Y, Hwang, C, Lin, K and Young, M (2014) Production of Lightweight Aggregate from Sewage Sludge and Reservoir Sediment for High-Flowing Concrete. Journal of Construction Engineering and Management, 140(05).

Anjaneyappa, V, Amarnath, M S and Srinivasamurthy, B R (2014) Compacting Characteristics of Light Compacting Equipment. Journal of Construction Engineering and Management, 140(05).

Dadi, G B, Goodrum, P M, Taylor, T R B and Carswell, C M (2014) Cognitive Workload Demands Using 2D and 3D Spatial Engineering Information Formats. Journal of Construction Engineering and Management, 140(05).

Heravi, G and Jafari, A (2014) Cost of Quality Evaluation in Mass-Housing Projects in Developing Countries. Journal of Construction Engineering and Management, 140(05).

Hu, D and Mohamed, Y (2014) Simulation-Model-Structuring Methodology for Industrial Construction Fabrication Shops. Journal of Construction Engineering and Management, 140(05).

Kim, J, Greene, M and Kim, S (2014) Cost Comparative Analysis of a New Green Building Code for Residential Project Development. Journal of Construction Engineering and Management, 140(05).

Kim, T W and Fischer, M (2014) Automated Generation of User Activity–Space Pairs in Space-Use Analysis. Journal of Construction Engineering and Management, 140(05).

Type: Journal Article
Keywords: Computation; Computer aided design; Building design; Knowledge-based systems; Space-use analysis; Space utilization; Space-use type; Space-use type differentiator; Knowledge-based systems; User presence model;
ISBN/ISSN: 0733-9364
URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000839
Abstract:
Automation of space-use analysis consists of two parts: automated generation of activity-space pairs and automated computation of space utilization based on the pairs. However, existing user presence models require architects to manually generate activity-space pairs because space-use types and their impact on the generation have not been formalized in a single method. This paper presents a formalized method that enables a computer to map activities onto spaces to generate such pairs by choosing spatial requirements of an activity, finding appropriate spaces, and mapping the activity onto found spaces. Validation tests show that activity-space pairs generated by this method conform to the pairs generated by expert architects, and the method is acceptable from the architects’ perspectives. Automated space-use analysis powered by this method significantly enhances speed and consistency of utilization prediction. This paper contributes to virtual design and construction by providing a means to connect activities with spaces automatically.

Li, M, Chen, J, Xu, A, Xia, X and Wang, J (2014) Case Study of Innovative Top-Down Construction Method with Channel-Type Excavation. Journal of Construction Engineering and Management, 140(05).

Rajan, T A, Gopinath, G and Behera, M (2014) PPPs and Project Overruns: Evidence from Road Projects in India. Journal of Construction Engineering and Management, 140(05).

Sousa, V, Almeida, N M, Dias, L A and Branco, F A (2014) Risk-Informed Time-Cost Relationship Models for Sanitation Projects. Journal of Construction Engineering and Management, 140(05).

Wang, Y, Zhu, S and Wong, A S T (2014) Cooling Time Estimation of Newly Placed Hot-Mix Asphalt Pavement in Different Weather Conditions. Journal of Construction Engineering and Management, 140(05).

Xiong, W and Zhang, X (2014) Concession Renegotiation Models for Projects Developed through Public-Private Partnerships. Journal of Construction Engineering and Management, 140(05).