CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
References
id caadria2020_240
authors Stojanovic, Djordje and Vujovic, Milica
year 2020
title How to Share a Home - Towards Predictive Analysis for Innovative Housing Solutions
source D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 547-556
summary Renewed interest in cohousing solutions is driven by the rapid population growth and a lack of affordable housing in many cities across the world. The home share has become more prevalent in recent years due to the cost benefits and social gains it provides. While it involves challenges primarily concerned with the usage of communal areas, the viability of this housing model increases with the advancement of technology enabling new tools for analysis and optimisation of spatial usage. This paper introduces a method of sensor application in the occupancy analysis to provide grounding for future studies and the implementation of advanced computational methods. The study focuses on the underexplored potential of the communal spaces and provides a method for the measuring of specific aspects of their usage. The study applies principles of mathematical set theory, to give a more conclusive understanding of how communal areas are used, and therefore contributes to the improvement of housing design. Presented outcomes include an algorithmic chart and a blueprint of a behavioural model.
keywords Cohousing; Housing share; Post Occupancy Evaluation; Machine Learning ; Predictive Analysis
series CAADRIA
email d.s@unimelb.edu.au
full text file.pdf (2,486,892 bytes)
references Content-type: text/plain
Details Citation Select
100%; open Aschwanden, G (2016) Find in CUMINCAD Neighbourhood Detection with Analytical Tools , Proceedings of CAADRIA 2016, pp. 13-22

100%; open Bhatt, M, Suchan, J, Schultz, C, Kondyli, V and Goyal, S (2016) Find in CUMINCAD Artificial intelligence for predictive and evidence-based architecture design , Thirtieth AAAI Conference on Artificial Intelligence, Phoenix, Arizona, pp. 4339-4350

100%; open Cali, D, Matthes, P, Huchtemann, K, Streblow, R and Müller, D (2015) Find in CUMINCAD CO2 based occupancy detection algorithm: Experimental analysis and validation for office and residential buildings , Building and Environment, 86, pp. 39-49

100%; open Chang, WK and Hong, T (2013) Find in CUMINCAD Statistical analysis and modelling of occupancy patterns in open-plan offices using measured lighting-switch data , Building Simulation, 6, pp. 23-32

100%; open Davis, D (2016) Find in CUMINCAD Evaluating Buildings with Computation and Machine Learning , Proceedings OF ACADIA 209, pp. 116-123

100%; open Gomez-Zamora, P, Bafna, S, Zimring, C, Do, E and Vega, MR (2019) Find in CUMINCAD Spatiotemporal Occupancy for Building Analytics , Proceedings of eCAADe 2019, pp. 111-120

100%; open K, Hashimoto, Kawaguchi, C, Matsueda, S, Morinaka, K and Yoshiike, N (1998) Find in CUMINCAD People-counting system using multisession application , Sensors and Actuators, 66(1-3), pp. 50-55

100%; open McCamant, K and Durrett, C (1994) Find in CUMINCAD Cohousing: A Contemporary Approach to Housing Ourselves , Ten Speed Press, Berkeley

100%; open Panagoulia, E (2017) Find in CUMINCAD The role of Open Data in identifying and evaluating the Livability of Urban Space , Proceedings of eCAADe 2017, Rome, pp. 495-504

last changed 2020/08/14 18:39
pick and add to favorite papersHOMELOGIN (you are user _anon_428801 from group guest) CUMINCAD Papers Powered by SciX Open Publishing Services 1.002