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id ecaade2018_112
authors Yu, K. Daniel, Haeusler, M. Hank, Simon, Katrina and Fabbri, Alessandra
year 2018
title Data Influenced Infrastructure Generation - Combining holistic urban datasets through a digital Slime Mold algorithm for cycle path generation
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 647-656
summary Existing infrastructure in cities has become increasingly incapable of operating at its designed efficiency. This demand has been created by the growth in population generating a larger demand and strain on the existing infrastructure. This paper explores how user-generated data could be utilised to create transport infrastructure, more specifically bicycle pathways. Through a series of 'four sprints', a pathway generation system has been adapted from the behaviour of Slime Molds (Physarum Polycephalum), in particular, its ability to define shortest paths on a terrain. The first sprint outlines the design of a Slime Mold algorithm between user-specified points, the second utilises the algorithm for pathway generation in a macro and micro urban scale (acknowledging both the existing infrastructure and cadastral), the third defines weight or effort limits for the pathways in order to suite realistic user-profiles (fitness level of cyclist groups), and the last sprint creates the start and end points for the pathway generation from user-generated data, applying the Slime Mold system to a 'real world' context. Through the four sprints, a design tool has been created that can be used to not only create and analyse cycle pathways, but tweaked for various other forms of tangible transport infrastructure.
keywords urban planning; agent based modelling; optimisation and decision support; transport planning
series eCAADe
email m.haeusler@unsw.edu.au
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100%; open Yu, DK, Haeusler, MH and Fabbri, A (2017) Find in CUMINCAD Parametric master planning via topological analysis using GIS data , Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, pp. pp. 429-438

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100%; open Yu, DK, Haeusler, MH, Simon, K and Fabbri, A (2018) Find in CUMINCAD BiCycle Pathway Generation Through a Weighted Digital Slime Mold Algorithm via Topographical Analysis , Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, pp. 381-390

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