Smart Cities and Infrastructure Research Cluster

About Us

The Smart Cities and Infrastructure Cluster (SCIC) seeks to promote and advance the efficient design, planning and delivery of urban environments, infrastructure, and properties through the use of spatially integrated information and smart technologies.

Rapid developments in technology and global urbanisation forces have transformed cities into intensive laboratories for managing and promoting change. Unprecedented streams of “big-data”, hi-tech interfaces and digital analytic tools unlock the potential to both design new types of cities and re-imaging existing urban environments. A city can be defined as ‘smart’ when investments in human and social capital and traditional (transport) and modern (ICT) communication infrastructure promote the following four urban characteristics:

  • resilience and sustainable economic development
  • a high quality of life
  • wise management of natural resources
  • participatory action and engagement

SmartCitiesLogo

New Smart Cities such as Songdo City, in South Korea suggest one model of Smart Cities. Another model is represented by the innovative urban ecosystems within older cities, such as NYC and Amsterdam. The research in the cluster is problem focused and aims to change cities for the public good in three ways:

  1. Develop participatory urbanism to empower citizens to interact in new, more efficient and more meaningful ways.
  2. Develop resilient cities through the smart design of sustainable and flexible hi-tech infrastructure and service delivery.
  3. Promote and design cities as healthy, safe and productive environments through the use of smart technologies and evidence based design.
 

 

 
 
Research Projects

Modelling City Futures – A Scenario Planning Approach

Christopher James Pettit

PettitModellingCity

For the first time in the history of civilization there are now more people living in cities than rural localities. Significant population growth is intensifying this transition and placing pressure on our cities. For example in Australia the population is projected to almost double between 2010 and 2050. As part of a Smart Cities agenda there is an increasing need for data driven evidence computer planning tools to support communities, planners, policy-makers in envisioning sustainable, productive and resilient cities. Collaborative planning support system (PSS) tools such as the open source Online What if? (OWI) PSS tool can be used to explore a myriad of future possibilities. Planners and other key actors involved in shaping our cities can create, explore land suitability, land demand and land use allocation scenario for both municipalities and metropolitan areas. Professor Pettit has been leading the developing and application of the Online What if? PSS and has been working the Western Australia Department of Planning in exploring an envelope of future land use scenarios for Perth to Peel metropolitan region using the OWI PSS (Pettit et al. , 2013,2015). The use of scenario planning tools such as What if? offer exciting possibilities in assisting cities plan for their sustainable, productive and resilient future.

References

Pettit, C.J. Klosterman, R.E., Delaney, P., Whitehead, A, L., Kujala, H.,. Bromage, A., Nino-Ruiz, M. (2015). The Online What if? Planning Support System: A Land Suitability Application in Western Australia, Applied Spatial Analysis and Policy. Vol 8, Issue 2, pp 93-112.

Pettit, C.J. Klosterman, R.E. Nino-Ruiz, M. Widjaja, I., Tomko, M., Sinnott, R. (2013). The Online What if? Planning Support System in Planning Support Systems for Sustainable Urban Development, Eds Geertman, S and Stillwell, J. Springer Publishers, pp 349-362.


Responsive Transport Environments

Matthias Hank Haeusler

HaeuslerResponsiveTransportEnv

This industry-based research project discusses and evaluates media architecture and media facades in the context of public transport embedded with digital technology (ICT technology). It is expensive, politically difficult and time consuming to build new train lines, bus routes and public transport systems. In contrast the efficiency of existing systems can be improved through better transport passenger information. This project proposes a prototype for the delivery of transport information via retrofitting transport stops with sensors, screens, computing components and ICT technologies that collect data within the public transport system, use the data to generate information about the system and feed them back to passengers via personal screens (smart phones) or public screens (media facades). Such feedback systemscreate info-rich interfaces to help make informed travel decisions. The findings of this investigation where communicated via the book ‘Infostructure – A transport research project’, (Freerange Press, 2012) and an edited book ‘Interchanging – Future Scenarios for Responsive Transport Infrastructure Design’ (Spurbuch, 2014).

References

Gardner, N., Haeusler, M. H., & Tomitsch, M. (2012). Infostructure: A Transport Research Project. Melbourne, Freerange Press. 

Gardner, N. L., Haeusler, M. H., Mahar, B., & Tompson, T. (2014). Interchanging: Responsive transport infrastructures for twenty-first century urban digital culture, Baunach, Spurbuch Verlag.


Sydney’s 3D Economy

Scott Hawken and Hoon Han

HawkenHanSyd3DEconomy

The focus of this project is to analyse economic heterogeneity within central Sydney using 3D GIS. Work is aimed at identifying clusters of specific industries in a 3D environment. The work will also produce scientific understanding of mixed-use environments and their relationship with different geographic districts and building types. The generation of heterogeneity metrics and the visualisation of industry clusters produce a fine grain picture of the knowledge based city lacking in both industry and government. Such a picture empowers the synthesis of real-estate innovations, macro-economic policies, and urban design codes to produce competitive global urban centres. 

References

Hawken, Scott, and Jung Hoon Han. 2017. "Innovation Districts and Urban Heterogeneity: 3D Mapping of Industry Mix in Downtown Sydney." Journal of Urban Design 0(0): 1–23. doi:10.1080/13574809.2017.1301203.

Hawken, S. and Han, H. Industry Clusters, Knowledge Districts, Real Estate Products and Fine Grained Urban Heterogeneity Using 3D GIS: an evidence based perspective for mixed use urban development, In Preparation. 


Adaptation of the STEVE Tool (Screening Tool for Estate Environmental Evaluation) to Sydney conditions

Marta Bescansa and Paul Osmond

BescansaOsmondAdaptSTEVETool

The project aims to evaluate a software tool developed by the University of Singapore. The tool can estimate the outdoor thermal comfort (temperature and humidity) performance of new developments based on existing urban form, vegetation and weather data. The results feed into a broader research project with the Universities of South Australia and Melbourne. Stakeholders involved include Sydney, Adelaide and Melbourne city councils and several industry partners around climate change and urban heat island effects. The ultimate objective of the project is to provide evidence-based guidance for policy makers, planners and designers towards sustainable urbanism in Australian urban contexts.

References

Jusuf, S.K, Wong, N.H., Tan, C.L., Tan, A.Y.K., (2011). STEVE Tool, Bridging the gap between urban climatology research and urban planning process. Proceedings for the International Conference on Sustainable Design and Construction, Kansas City, Missouri, 23-25 March 2011.


African Smart Cities

Rumbi Ebbefeld, Dr Scott Hawken, and Dr Sophia Maalsen

HawkenAfricanSmartCities

This project investigates the novel use of technology in five of Africa’s smartest cities including Nairobi, Cape Town, Johannesburg, Accra and Lagos and how it contributes to achieving better urban services despite a lack of conventional urban infrastructure. The project specifically explores the potential of technological leapfrogging to replace old or non-existent technology with current versions and how it can be integrated with the social context and stakeholders to place developing cities well on their way to becoming 'smart'.

References

Hawken, S. and Ebbefeld, Emerging African Smart Cities: smart approaches for leapfrogging infrastructure deficits, In Preparation 

 

Events

Research Cluster Meeting 4:00 to 5:00 pm, 7 August 2020

Research Cluster Meeting 3-4pm, 28th May 2020
The first meeting for the newly revised research cluster was held on May 28. The agenda was as follows:

  • Welcome Address and Introduction by Cluster Co-Convenors: Dr Samad Sepasgozar and Dr Brian Lee
  • HDR and Publications Update: A/Prof Riza Sunindijo
  • Faculty Research Update: Uttra Benton
  • Industry Partnerships and Enterprise: Prof Deo Prasad
  • Construction and Property Collaborations: A/Prof Chyi Lin Lee

Ideas and initiatives from cluster members were also discussed. The next meeting will be held in July.

Read more about past events

Research Papers

Call for Chapters

Open Cities | Open Data: Collaborative Cities in the Information Era

The UNSW Smart Cities Research Cluster is preparing an edited book entitled Open Cities | Open Data: Collaborative Cities in the Information Era to be published in mid 2018 by Palgrave Macmillan.  The editors call for authors to submit chapters presenting innovative ways to open-up data and to use it in new applications to create smarter, more open cities. Each chapter is to be 5000-6000 words (excluding references) and will be categorised into one of four thematic sections:  (1) Collaborative Cities; (2) Transparent Cities; (3) Adaptive Cities; (4) Liveable and Sustainable Cities.  

Expressions of Interest (chapter title and abstract) are due by Monday 15 May to 
 
The publication schedule is as follows:
  • Submit EOI: 15th May 2017
  • Chapter Submission Date:  30th Oct 2017
  • Chapter Peer Review:  1st Nov - 15th Dec 2017 (please note, all chapters will be blind peer reviewed)
  • Chapter Decision:  20th Dec 2017
  • Author submission of revised chapters:  28th Feb 2018
  • Publication:  Mid 2018

Download call for chapters here.
 


 

Call for Papers for the Special Issue of City, Culture and Society

Smart Cities and Urban Innovation

As the world embarks on a “Smart City Boom” digital technology is being promoted as the answer to a multitude of urban challenges and wicked problems. How such technology is invented, evolves and diffuses, within and between cities, is not a linear process but demonstrates a wide range of approaches and results emblematic of the complexity and diversity of urban systems globally. Smart cities are often presented and investigated as a phenomenon pursued by advanced economies and driven by corporate tech giants. This issue of City, Culture and Society will look beyond such perceptions to investigate the social nuances, human behaviours and cultural distinctions within the emerging smart city phenomenon. This special issue asks how rapid innovations in smart cities will influence the design, planning and management of cities, expanding dialogues beyond a singular technical emphasis to engage in the multi-dimensional challenge of building smarter cities to further social and environmental sustainability and foster more creative cities.

Participants are invited to submit a tentative title of the paper with a max 300-word abstract to the guest editors Dr Hoon Han and Dr Scott Hawken at smartcities@unsw.edu.au by May 30, 2016.

More Information about the journal is available here

Download the Expressions of Interest here

 


Open Cities | Open Data Workshop

The following presentations are from the Smart Cities Workshop on “Open Cities| Open Data” held on Oct 2, 2015.

Keynotes- The Urban Future of Open Data

Parallel Session A - Collaborative Cities

Parallel Session A - Transparent Cities

Parallel Session B - Adaptive Cities

Parallel Session B - Liveable Cities


Research Papers

The publications on this section present an introduction to the concept of Smart Cities and a guide to students and academics wishing to participate in research and activities with the Smart City Cluster.

  • Allwinkle, S. & Cruickshank, P. (2011) Creating smart-er cities: An overview, Journal of Urban Technology, 18(2), 1-16.
  • Batty, M. (2013) Big data, smart cities and city planning, Dialogues in Human Geography, 3(3), 274-279.
  • Batty, M. (2013) The new science of cities. Cambridge, Mass. MIT Press.
  • Batty, M., Axhausen, K. W., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., Ouzounis G., & Portugali, Y. (2012) Smart cities of the future, The European Physical Journal Special Topics, 214(1), 481-518.       
  • Bekkers, V. & Homburg, V. (2007) The Myths of E-Government: looking beyond the assumptions of a new and better government. The Information Society, 23(5), 373-382.
  • Bertot, J. C., Jaeger, P. T., & Grimes, J. M. (2010) Using ICTs to create a culture of transparency: E-government and social media as openness and anti-corruption tools for societies, Government Information Quarterly, 27(3), 264-271.
  • Brabham, D. C. (2009) Crowdsourcing the Public Participation Process for Planning Projects, Planning Theory, 8(3), 242-262.
  • Caragliu, A., Del Bo, C., & Nijkamp, P. (2011) Smart Cities in Europe, Journal of Urban Technology, 18(2), 65-82.
  • Carter, L. & Bélanger, F. (2005) The Utilization of E‐Government Services: citizen trust, innovation and acceptance factors, Information Systems Journal, 15(1), 5-25.
  • Chun, S. A., Shulman, S., Sandoval, R., & Hovy, E. (2010) Government 2.0: Making connections between citizens, data and government, Information Polity, 15(1), 1.
  • Deng, W., Prasad, D. K., & Osmond, P. W. (2011) Improving sustainability decision-making information at neighbourhood level: A new framework for performance assessment based on China’s Small Residential District. The international Journal of Environmental, Cultral, Economic and social sustainability, 7(2), 235-252.
  • Evans-Cowley, J., & Hollander, J. (2010) The New Generation of Public Participation: internet-based participation tools, Planning, Practice & Research, 25(3), 397-408.
  • Foth, M. (2011) From Social Butterfly to Engaged Citizen: urban informatics, social media, ubiquitous computing, and mobile technology to support citizen engagement. Cambridge, Mass. MIT Press.
  • Foth, M. (Ed.). (2008) Handbook of Research on Urban Informatics: the practice and promise of the real-time city, New York, IGI Global.
  • Fountain, J. E. (2004), Building the Virtual State: information technology and institutional change, Washington, Brookings Institution Press.
  • Graham, S., & Marvin, S. (2002) Telecommunications and the City: electronic spaces, urban places. New York, Routledge.
  • Greenfield, A. (2010) Everyware: The dawning age of ubiquitous computing. Berkeley, New Riders.
  • Gudes, O., Kendal, E., Yigitcanlar, T., Han, J., & Pathak, V. (2011) Developing a Competitive City through Healthy Decision-Making. In M. Bulu (Ed.), City Competitiveness and Improving Urban Subsystems: Technologies and Applications (pp. 107-121). Hersey: Information Science Reference.
  • Haeusler, M. (2014) Interchanging – Future designs for responsive transport environments (first ed.). N. Gardner, M. Haeusler, & B. Mahar (Eds.), Bamberg, Germany: Spurbuch.
  • Haeusler, M., Tomitsch, M., & Tscherteu, G. (2012) New Media Facades - A Global Survey (1 ed.). Ludwigsburg, Germany: avedition.
  • Han, H. H., Hawken, S., & Williams, A. (2015) SMART CCTV and the management of urban space. In Handbook of Research on Digital Media and Creative Technologies. IGI.
  • Hollands, R. G. (2008) Will the Real Smart City Please Stand Up? intelligent, progressive or entrepreneurial? City, 12(3), 303-320.
  • Janssen, M., Charalabidis, Y., & Zuiderwijk, A. (2012) Benefits, Adoption Barriers and Myths of Open Data and Open Government, Information Systems Management, 29(4), 258-268.
  • Kingston, R. (2007) Public Participation in Local Policy Decision-Making: the role of web-based mapping, The Cartographic Journal, 44(2), 138-144.
  • Kitchin, R. (2014) The Data Revolution: big data, open data, data infrastructures and their consequences. Los Angeles, Sage.
  • Kitchin, R. (2014) The Real-Time City? Big data and smart urbanism, GeoJournal, 79(1), 1-14.
  • Lee, J., & Zlatanova, S. (2008) A 3D Data Model and Topological Analyses for Emergency Response in Urban Areas, Geospatial Information Technology for Emergency Response, 143, C168.
  • Linders, D. (2012) From E-Government to We-Government: defining a typology for citizen coproduction in the age of social media, Government Information Quarterly, 29(4), 446-454.
  • Mayer-Schönberger, V., & Cukier, K. (2013) Big Data: a revolution that will transform how we live, work, and think. New York, Houghton Mifflin Harcourt.
  • Nam, T. & Pardo, T. A. (2011) Smart City as Urban Innovation: focusing on management, policy, and context, In Proceedings of the 5th International Conference on Theory and Practice of Electronic Governance (pp. 185-194), ACM.
  • Pentland, A. (2014) Social Physics: how good ideas spread-the lessons from a new science. Victoria, Scribe.
  • Schaffers, H., Komninos, N., Pallot, M., Trousse, B., Nilsson, M., & Oliveira, A. (2011) Smart Cities and the Future Internet: Towards Cooperation Frameworks for Open Innovation, The Future Internet, 6656, pp 431-446
  • Seltzer, E. & Mahmoudi, D. (2012) Citizen Participation, Open Innovation, and Crowdsourcing: challenges and opportunities for planning, Journal of Planning Literature, 28(1), pp. 3–18.
  • Townsend, A. M. (2013) Smart Cities: big data, civic hackers, and the quest for a new utopia, New York, WW Norton & Company.
  • West, D. M. (2004) E‐government and the Transformation of Service Delivery and Citizen Attitudes, Public Administration Review, 64(1), 15-27.
  • Xiao, P., Ding, L., & Prasad, D. (2014) Modelling Adaptive Building Energy Systems and Human Behaviour: An Agent-Based Modelling Approach. In Grand Renewable Energy 2014 Proceedings. Tokyo Japan.
  • Zhao, W., Ding, L., Cooper, P., & Perez, P. (2014) Smart Home Electricity Management in the Context of Local Power Resources and Smart Grid. Journal of Clean Energy Technologies, vol. 2 (no. 1), 73-79.  
  • Zlatanova, S., & Li, J. (Eds.). (2008) Geospatial Information Technology for Emergency Response, London, Taylor and Francis.
  • Zlatanova, S., Rahman, A. A., & Shi, W. (2004) Topological Models and Frameworks for 3D Spatial Objects, Computers & Geosciences, 30(4), 419-428.
Latest News

Climate Change and Disaster Management Conference (30th Nov – 4th Dec 2020).

Across the world, nature-triggered disasters fuelled by climate change are worsening. Some two billion people have been affected by the consequences of natural hazards over the last ten years, 95% of which were weather-related (such as floods and windstorms). Fires swept across large parts of California, and in Australia caused unprecedented destruction to lives, wildlife and bush.

Disaster management needs to keep up. Good cooperation and coordination of crisis response operations are of critical importance to react rapidly and adequately to any crisis situation, while post-disaster recovery presents opportunities to build resilience towards reducing the scale of the next disaster.

Hosted by UNSW Sydney and with Professor Sisi Zlatanova as one of the conference chairs, this event will explore technology and resilience by bringing together three conferences:

  • Geographic Information for Disaster Management (GI4DM)
  • Urban Resilience Asia Pacific 2 (URAP2)
  • NSW Surveying and Spatial Sciences Institute (SSSI) one-day event

For more details visit: https://conference.unsw.edu.au/en/ccdm2020

Other conferences that our cluster members are involved in include:

Call for papers

International Journal of Digital innovation in the Built Environment (IJDIBE), formerly known as the International Journal of 3-D Information Modeling (IJ3DIM): https://www.igi-global.com/journal/international-journal-digital-innovation-built/224363. Professor Sisi Zlatanova is a co-editor of this journal.

Achievements

Dr Mohammad Mojtahedi has been invited by the UK’s Royal Academy of Engineering to attend the Frontiers of Development series of symposia in 2020 which focuses on the theme of disaster resilience. These series bring together the best early- to mid-career researchers and practitioners (5-20 years post-doc or industry equivalent) from industry, academia, government and NGOs in multidisciplinary workshops to address fundamental development challenges, each of them involving 60 attendees (approximately half from the UK, half from the Global South).

For more details: https://www.raeng.org.uk/global/sustainable-development/frontiers/frontiers-of-development

Selected Research Areas of the Cluster
  • Crowd and hazards simulations in indoor and outdoor spaces
  • Voxel-based analysis
  • Spatial analysis related to BIM and GIS
  • 3D modelling and reconstruction from point clouds
  • 3D Digital Twins, Urban Modelling
  • Virtual Heritage
  • Spatial Decision Support Systems: Spatial knowledge development, community participation
  • Emergency Management
  • CAD/GIS/BIM/3D scanning/printing
  • BIM/GIS integration
  • 3D data modelling and analysis
  • Urban and Regional Planning and Operations Research - Resilient Buildings, Infrastructure, Disaster Risk Reduction and Evacuation Planning
  • Resilience and disaster management
  • 3D modelling and reconstruction (of buildings and architectural elements) 
  • 3D indoor navigation
  • Computational geometry
  • Information and knowledge management in AEC industry
  • Building Information Modelling (BIM) applications on construction planning, cost management and facility management. 
  • Reducing carbon footprint in the construction process for sustainable development and green building rating. Using BIM, digital twin and other ICT technologies to improve the efficiency and productivity and reduce carbon emissions for smart city and infrastructure development.
  • Health and safety in construction
  • Construction Leaders and Human Resource Management Human e.g. emotional intelligence, leadership, and organisational culture
     
Projects
  • ARC Linkage Project: ARC Value in Operations – Innovative procurement theories to optimise educational outcomes per total cost of school facilities [A/Prof Riza Yosia Sunindijo]. This research aims to develop a novel and cohesive whole-of-procurement decision-making framework for financing, design, construction, operations, and maintenance of schools to advance educational outcomes per total cost of new school facilities. For more details: https://research.qut.edu.au/arcvio/research-project/ 
  • Integrated 3D geospatial, toxicological and sociotechnical computational modelling and simulation to elucidate policy, planning, preparedness, response and recovery for major disasters [Mitko Aleksandrov]. Black Swan events are occurring with increasing frequency and impacting humanity more than ever before. Through this project, we consider recent innovations in conceptual approaches to computational modelling and simulation across disciplinary boundaries to understand Black Swan risks, planning and preparedness. 
  • Chimaera Evolution [Mitko Aleksandrov]. An experiment by simulation framework to support CBR medical planning, preparedness and operational response. Bioterrorism Stream collaborative research grant.
  • Virtual Interactive Education Platform for Urban Planning [Mitko Aleksandrov]. Creating a platform that will enable synchronous virtual and physical interaction of users with GIS content on the web.
  • Revisiting Shoei Yoh [Dr Jack Barton].
  • The Fire in the Stone; Lost History [Dr Jack Barton].
  • Virtual City Analytics Lab [Dr Jack Barton].
  • Building Information modelling - Standards Australia [Prof Sisi Zlatanova] (https://www.standards.org.au/standards-catalogue/sa-snz/building/bd-104).
  • Smart Cities Standards Reference Framework [Prof Sisi Zlatanova]  (https://www.standards.org.au/engagement-events/flagship-projects/smart-c...).
  • IndoorGML 2.0 [GRID Research Group].  IndoorGML is an OGC standard for an open data model and XML schema for indoor spatial information. It aims to provide a common framework of representation and exchange of indoor spatial information. IndoorGML focuses on modelling indoor spaces for navigation purposes.
  • Delivering diverse and affordable rental housing connected with urban regeneration scheme [A/Prof Hoon Han]. In partnership with the Land and Housing Institute (Korea).    
  • Impacts of new and emerging Assistive Technologies for ageing and disabled housing [Tracy Huang]. 
  • Performance assessment and modeling of construction frameworks for public sector construction [Dr Yat Lam]. In partnership with Royal Institute of Chartered Surveyors (UK).
  • Modelling a Filtering Process in Expanding Affordable Rental Supply [A/Prof Chyi Lin Lee].
  • Improving Women's Safety in Public Spaces [Dr Brian Lee].
  • Western Sydney Parkland City Sensor Network Project [Prof Chris Pettit]. In partnership with Wollondilly Shire Council.
  • Transport Accessibility Analytics & Visualisation [A/Prof Simone Zarpelon Leao]. In partnership with Penrith City Council.
Laboratories and Experimental Facilities

City Analytics Lab

Construction Mixed Reality (CONXR)

The construction mixed reality (CONXR) development is a technology development team including software and hardware facilities to support digital based experimentation and investigations.  CONXR builds on the experience of designing, utilising and maintaining the virtual reality modules and applies the relevant knowledge in different projects. CONXR has received the participation of academics, students, technical practitioners, personnel from the School of Civil and Environmental Engineering, School of Minerals and Energy Resources Engineering, industry partners CPB, Pells Sullivan Meynink, E.J. Nye & Associates and a number of technical vendors in developing and utilising previous applications.  The CONXR has initiated based on the Scientia Education Investment Fund Grants (SEIF #1) 2018, leading by Dr Samad Sepasgozar and funded by the University of New South Wales, Sydney.
 

Publications

Edited Books:

Kamruzzaman L; Han H; Yigitcanlar T, (eds.), 2020, Approaches, Advances and Applications in Sustainable Development of Smart Cities, MDPI, Basel, http://dx.doi.org/10.3390/books978-3-03928-013-1

Hawken S; Han H; Pettit C, (eds.), 2020, Open Cities | Open Data: collaborative cities in the information era, Palgrave Macmillan Springer, Singapore, http://dx.doi.org/10.1007/978-981-13-6605-5 

Book Chapters:

Hawken S; Yenneti K; Bodilis C, 2020, 'Mapping Climate Vulnerability with Open Data: A Dashboard for Place-Based Action', in Open Cities | Open Data, Springer Singapore, pp. 151 - 175, http://dx.doi.org/10.1007/978-981-13-6605-5_7 

Hawken S; Leao SZ; Gudes O; Izadpanahi P; Viswanath K; Pettit C, 2020, 'Safer Cities for Women: Global and Local Innovations with Open Data and Civic Technology', in Open Cities | Open Data, Springer Singapore, pp. 85 - 105, http://dx.doi.org/10.1007/978-981-13-6605-5_4 

Lock O; Pinnegar S; Zarpelon Leao S; Pettit C, 2020, 'The making of a mega-region: evaluating and proposing long-term transport planning strategies with open-source data and transport accessibility tools', in Geertman S; Stillwell J (ed.), Handbook of Planning Support Science, Edward Elgar Publishing, http://dx.doi.org/10.4337/9781788971089.00039 

Journal Articles:

Abisuga O; Wang C; Sunindijo RY, 2020, 'Facility managers’ responses to user post-occupancy feedback: a conceptual framework', Facilities, http://dx.doi.org/10.1108/F-10-2018-0119 

Adabre MA; Chan APC; Darko A; Osei-Kyei R; Abidoye R; Adjei-Kumi T, 2020, 'Critical barriers to sustainability attainment in affordable housing: International construction professionals’ perspective', Journal of Cleaner Production, vol. 253, http://dx.doi.org/10.1016/j.jclepro.2020.119995 

Ali Q; Thaheem MJ; Ullah F; Sepasgozar SME, 2020, 'The Performance Gap in Energy-Efficient Office Buildings: How the Occupants Can Help?', Energies, vol. 13, pp. 1480 - 1480, http://dx.doi.org/10.3390/en13061480

Alattas A; van Oosterom P; Zlatanova S; Hoeneveld D; Verbree E, 2020, 'LADM-IndoorGML for exploring user movements in evacuation exercise', Land Use Policy, http://dx.doi.org/10.1016/j.landusepol.2019.104219 

Diakite AA; Zlatanova S, 2020, 'Automatic geo-referencing of BIM in GIS environments using building footprints', Computers, Environment and Urban Systems, vol. 80, http://dx.doi.org/10.1016/j.compenvurbsys.2019.101453 

Farrell A; Sunindijo RY, 2020, 'Overcoming challenges of early contractor involvement in local government projects', International Journal of Construction Management, pp. 1 - 8, http://dx.doi.org/10.1080/15623599.2020.1744216 

He BJ; Ding L; Prasad D, 2020, 'Outdoor thermal environment of an open space under sea breeze: A mobile experience in a coastal city of Sydney, Australia', Urban Climate, vol. 31, pp. 100567 - 100567, http://dx.doi.org/10.1016/j.uclim.2019.100567 

He B-J; Ding L; Prasad D, 2020, 'Urban ventilation and its potential for local warming mitigation: A field experiment in an open low-rise gridiron precinct', Sustainable Cities and Society, vol. 55, pp. 102028 - 102028, http://dx.doi.org/10.1016/j.scs.2020.102028 

He B-J; Ding L; Prasad D, 2020, 'Wind-sensitive urban planning and design: Precinct ventilation performance and its potential for local warming mitigation in an open midrise gridiron precinct', Journal of Building Engineering, vol. 29, pp. 101145 - 101145, http://dx.doi.org/10.1016/j.jobe.2019.101145 

Hussnain MQU; Waheed A; Anjum GA; Naeem MA; Hussain E; Wakil K; Pettit CJ, 2020, 'A framework to bridge digital planning tools' utilization gap in peri-urban spatial planning; lessons from Pakistan', Computers, Environment and Urban Systems, vol. 80, http://dx.doi.org/10.1016/j.compenvurbsys.2019.101451

Krayenhoff ES; Jiang T; Christen A; Martilli A; Oke TR; Bailey BN; Nazarian N; Voogt JA; Giometto MG; Stastny A; Crawford BR, 2020, 'A multi-layer urban canopy meteorological model with trees (BEP-Tree): Street tree impacts on pedestrian-level climate', Urban Climate, vol. 32, http://dx.doi.org/10.1016/j.uclim.2020.100590

Martilli A; Krayenhoff ES; Nazarian N, 2020, 'Is the Urban Heat Island intensity relevant for heat mitigation studies?', Urban Climate, vol. 31, http://dx.doi.org/10.1016/j.uclim.2019.100541

Nazarian N; Scott Krayenhoff E; Martilli A, 2020, 'A one-dimensional model of turbulent flow through "urban" canopies (MLUCM v2.0): Updates based on large-eddy simulation', Geoscientific Model Development, vol. 13, pp. 937 - 953, http://dx.doi.org/10.5194/gmd-13-937-2020

Nikoohemat S; Diakité AA; Zlatanova S; Vosselman G, 2020, 'Indoor 3D reconstruction from point clouds for optimal routing in complex buildings to support disaster management', Automation in Construction, vol. 113, http://dx.doi.org/10.1016/j.autcon.2020.103109

Pettit C; Biermann S; Pelizaro C; Bakelmun A, 2020, 'A Data-Driven Approach to Exploring Future Land Use and Transport Scenarios: The Online What If? Tool', Journal of Urban Technology, http://dx.doi.org/10.1080/10630732.2020.1739503

Punt EP; Geertman SCM; Afrooz AE; Witte PA; Pettit CJ, 2020, 'Life is a scene and we are the actors: Assessing the usefulness of planning support theatres for smart city planning', Computers, Environment and Urban Systems, vol. 82, http://dx.doi.org/10.1016/j.compenvurbsys.2020.101485

Tahmasebinia F; Zhang C; Canbulat I; Sepasgozar S; Saydam S, 2020, 'A Novel Damage Model for Strata Layers and Coal Mass', Energies, vol. 13, pp. 1928 -1928, http://dx.doi.org/10.3390/en13081928

Yang S; Cannavale A; Di Carlo A; Prasad D; Sproul A; Fiorito F, 2020, 'Performance assessment of BIPV/T double-skin façade for various climate zones in Australia: Effects on energy consumption', Solar Energy, vol. 199, pp. 377 - 399, http://dx.doi.org/10.1016/j.solener.2020.02.044

Zhou K; Lindenbergh R; Gorte B; Zlatanova S, 2020, 'LiDAR-guided dense matching for detecting changes and updating of buildings in Airborne LiDAR data', ISPRS Journal of Photogrammetry and Remote Sensing, vol. 162, pp. 200 - 213, http://dx.doi.org/10.1016/j.isprsjprs.2020.02.005

Members

Convenors
Dr Samad Sepasgozar
Dr Brian Lee

Academic Staff
Prof. Chris Pettit
Prof Sisi Zlatanova
Pro Deo Prasad
A/Prof Chyi Lin Lee
A/Prof Hoon Han
A/Prof Riza Yosia Sunindijo
Dr Changxin Wang
Dr Yat Lam
Dr Mohammad Mojtahedi
Dr Simone Zarpelon Leao
Dr Sara Shirowzhan 
Dr Negin Nazarian
Dr Jack Barton
Dr Abdoulaye Diakite
Dr Rotimi Abidoye
Mitko Aleksandrov
Tracy Huang

Higher Degree Researchers
Oliver Lock
Sugandha
Ripan Debnath
Behnaz Avazpour
Jing Jia
Peter Hunt
Claire Daniel
Mudan Wang

Collaborators
  • Leidos Australia Pty Ltd
  • Defence Science and Technology Group (DST Group)
  • Pusan University
  • City Futures Research Centre
  • FrontierSI
  • Spatial Services NSW
  • PAM
  • MapCite
  • Fire+Rescue NSW
  • AAM
  • Astrolabe
  • EIU
  • Transport for NSW
  • RFS NSW
  • AURIN
  • Data61
  • Marubeni
  • Spatial Vision
  • Bentley Systems
  • Brisbane City Council
  • Queensland Department of Natural Resources, Mines and Energy
  • Flood Management Australia
  • Mirvac
  • ADCO
  • University of Lyon 2
  • LandSurveys
  • Larki
  • Aconex
  • ProjectCentre
  • CIOB
  • Queensland University of Technology 
  • NSW Department of Education
Contact Us

Co-convenors:
Dr Samad Sepasgozar: Sepas@unsw.edu.au 
Dr Brian Lee: brian.j.lee@unsw.edu.au