Dr Balamurugan Soundararaj is a Research Fellow at City Futures Research Centre. He was a part of the award winning Value Australia project which integrated cutting-edge research, significant data assets, state-of-the-art analytics, and machine learning/ artificial intelligence to deliver secure digital valuation models and tools covering a broad range of land and property types across Australia. With a background in urban planning, spatial analysis and human geography, he has 8 years of experience working, teaching, and consulting both in academia and industry. His core research interest is in the collection, analysis, modelling and visualisation of large-scale spatial data with a focus on solving problems in visualising and communicating complex methods and their outputs effectively and transparently.
2022, 'Digital Transformations in Planning: An Australian Context', in Mori H; Yoshida T; Anttiroiko A-V (ed.), City, Public Value, and Capitalism New Urban Visions and Public Strategies, Northwestern Roberta Buffett Institute for Global Affairs, Evanston, Illinois, pp. 221 - 237, http://dx.doi.org/10.21985/n2-w74g-x218
,2018, 'Movements in Cities: Footfall and its Spatio-Temporal Distribution', in Longley P; Cheshire J; SIngleton A (ed.), Consumer Data Research, UCL Press, pp. 84 - 95, http://dx.doi.org/10.2307/j.ctvqhsn6.9
,2023, 'Usefulness of an Urban Growth Model in Creating Scenarios for City Resilience Planning: An End-User Perspective', ISPRS International Journal of Geo-Information, 12, pp. 311 - 311, http://dx.doi.org/10.3390/ijgi12080311
,2022, 'Using Real-Time Dashboards to Monitor the Impact of Disruptive Events on Real Estate Market. Case of COVID-19 Pandemic in Australia', Computational Urban Science, 2, pp. 14, http://dx.doi.org/10.1007/s43762-022-00044-z
,2022, 'Geo-Design in Planning for Bicycling: An Evidence-Based Approach for Collaborative Bicycling Planning', Land, 11, http://dx.doi.org/10.3390/land11111943
,2022, 'Towards A Virtual Planning Support Theatre for City Planning and Design', ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 10, pp. 5 - 12, http://dx.doi.org/10.5194/isprs-annals-X-4-W2-2022-5-2022
,2021, 'Using Wi-Fi probe requests from mobile phones to quantify the impact of pedestrian flows on retail turnover', Computers, Environment and Urban Systems, 87, http://dx.doi.org/10.1016/j.compenvurbsys.2021.101601
,2020, 'Estimating real-time high-street footfall from Wi-Fi probe requests', International Journal of Geographical Information Science, 34, pp. 325 - 343, http://dx.doi.org/10.1080/13658816.2019.1587616
,2018, 'Self-Organizing Networks in Complex Infrastructure Projects', Project Management Journal, 49, pp. 18 - 41, http://dx.doi.org/10.1177/875697281804900202
,2021, 'USING EYE-TRACKING to SUPPORT BIG DATA DRIVEN PROPERTY VALUATION TOOLS', in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, pp. 111 - 114, http://dx.doi.org/10.5194/isprs-archives-XLVI-4-W1-2021-111-2021
,2022, Digital models and tools for valuation of land and property, Patent No.
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