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Urban Science Lab @ Sydney

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Publications:

Refereed Journal Articles:

  1. Kundu, D., Sarkar, S., and Moylan, E., 2024, Benefits from a new transit line: Exploring the impact of rare users and spatially heterogeneous variations in intensity of use, Journal of Public Transportation, Volume 27, 2025, 100120.
  2. Ng, M.K.M., Shabrina, Z., Sarkar, S., Han, H., and Pettit, C., 2024, From urban clusters to megaregions: mapping Australia's evolving urban regions, Computational Urban Science, 4, 28.
  3. Cottineau, C., Batty, M., Benenson, I., Delloye, J., Hatna, E., Pumain, D., Sarkar, S., Tannier, C., & Ubarevičienė, R., 2024, The role of analytical models and their circulation in urban studies and policy, Urban Studies, 61(12), 2370-2398.
  4. Sarkar, S., Cottineau-Mugadza, C., & Wolf, L. J., 2024, Spatial inequalities and cities: A review, Environment and Planning B, 51(7), 1391-1407. (Special Issue Editorial)
  5. Sarkar, S., 2024, Normative urban science, Environment and Planning B, 51(5), 1079-1081. (50th Anniversary Special Issue Commentary).
  6. Ho, Y., Sarkar, S., and Alizadeh, T., 2024, City sizes and economic roles: Urban typologies within the Australian urban system, Cities, 149, 104986.
  7. Sarkar, S., Gurran, N., Shrivastava, R., and Chapple, K., 2024, Spatial segregation and neighbourhood change, AHURI Final Report No. 414.
  8. Buckle, C., Werner, G., Marshall, N., Searle, G., Osbaldiston, N., Sarkar, S., Kundu, D., Gurran, N., 2024, Place-based drivers and effective management of population growth and change in regional Australia, Final Report No. 425.
  9. Yanotti, M. B., Kangogo, M., Wright, D., Sarkar, S., Lyu, F., 2024, House price dynamics and internal migration across Australia, AHURI Final Report No. 421.
  10. Baker, E., Coffee, N. T., Page K., Daniel, L. and Sarkar, S., 2024, Improving small area population projections, AHURI Final Report No. 420.
  11. Lahoorpoor, B., Sarkar, S. and Levinson, D., 2023, Evaluating the vulnerability of the Sydney train network by comparing access-based and network centrality metrics, Findings.
  12. Robinson, P. A., McInnes, A., and Sarkar, S., 2023, Spatiotemporal evolution of urban populations and housing: A dynamic utility-driven market-mediated model, PLoS One, 18(4), e0282583.
  13. Gocer, O., Candido, C., Gocer, K., Brambilla, A., Thomas, L., Billoria, N., Mackey, M., Alizadeh, T., and Sarkar, S., 2022, Overlaps in space utilisation patterns and IEQ conditions observed in Activity-Based Working supportive office, Building and Environment, 220, 109273.
  14. Brambilla, A., Candido, C., Hettiarachchi, I., Thomas, L., Gocer, O., Gocer, K., Mackey, M., Biloria, N., Alizadeh, T. and Sarkar, S., 2021, The potential of harnessing real-time occupancy data for improving energy performance of activity-based workplaces, Energies, 15(1), 230.
  15. Allen, J., Farber, S., Greaves, S., Clifton, G., Wu, H., Sarkar, S. and Levinson, D.M., 2021, Immigrant settlement patterns, transit accessibility, and transit use, Journal of Transport Geography, 96, 103187.
  16. Sajedianfard, N., Hadian, E., Samadi, A. H., Shabani, Z. D., Sarkar, S. and Robinson, P. A., 2021, Quantitative analysis of trade networks: data and robustness, Applied Network Science, 6, Article No. 46.
  17. Sarkar, S., Moylan, E., Wu, H., Shrivastava, R., Levinson, D. and Gurran, N., 2021, New housing supply, population growth and access to social infrastructure, AHURI Final Report No. 356, Australian Housing and Urban Research Institute Limited, Melbourne, https://www.ahuri.edu.au/research/final-reports/356, doi:10.18408/ahuri73233.
  18. Alizadeh, T., Sarkar, S., Burgoyne, S., 2019, Capturing citizen voice online: Enabling smart participatory local government, Cities 95, 102400
  19. Sarkar, S., Wu, H. and Levinson, D., 2019, Measuring polycentricity via network flows, spatial interaction, and percolation, Urban Studies, early access online: https://journals.sagepub.com/doi/abs/10.1177/0042098019832517.
  20. Sarkar, S., 2018, Urban scaling and the geographic concentration of inequalities by city size, Environment and Planning B: Urban Analytics and City Science, early access online: 2399808318766070, http://journals.sagepub.com/doi/abs/10.1177/2399808318766070.
  21. Alizadeh, T., Farid, R., Sarkar, S., 2018, Tooran Alizadeh, Reza Farid & Somwrita Sarkar (2018) Towards Understanding the Socio-Economic Patterns of Sharing Economy in Australia: An Investigation of Airbnb Listings in Sydney and Melbourne Metropolitan Regions, Urban Policy and Research, DOI: 10.1080/08111146.2018.1460269.
  22. Sarkar, S., Phibbs, P., Simpson, R., and Wasnik, S., 2018, The scaling of income distribution in Australia: Possible relationships between urban allometry, city size and economic inequality, Environment and Planning B: Urban Analytics and City Science, 45(4): pp 603-622, DOI: 10.1177/0265813516676488.
  23. Sarkar, S., Chawla, S., Shameem, P.P., Srivastava, J., Hammady, H., Filali, F., Znaidi, W. and Borge-Holthoefer, J., 2017, Effective Urban Structure Inference from Traffic Flow Dynamics, IEEE Transactions on Big Data, 3(2): 181-193.
  24. Mehta-Pandejee, G., Robinson, P. A., Henderson, J. A., Aquino, K. M., and Sarkar, S., 2017, Inference of direct and multistep effective connectivities from functional connectivity of the brain and of relationships to cortical geometry, Journal of Neuroscience Methods, 283: 42-54.
  25. Sarkar, S., Chawla, S., Robinson, P.A., and Fortunato, S., 2016, Eigenvector dynamics under perturbation of modular networks, Physical Review E, 93, 062312.
  26. Robinson, P.A., Zhao, X., Aquino, K.M., Griffiths, J., Sarkar, S. and Panedejee, G.P, 2016, Eigenmodes of brain activity: Neural field theory predictions and comparisons with experiment, Neuroimage, 142, pp. 79-98.
  27. Sarkar, S. and Dong, A., 2015, A Spectral Analysis Software to Detect Modules in a Design Structure Matrix, The Journal of Modern Project Management 3 (2), pp. 17-23.
  28. Robinson, P. A., Sarkar, S., Pandejee, G. M., and Henderson, J.A., 2014, Determination of effective brain connectivity from functional connectivity with application to resting state connectivities, Physical Review E, 90(1), 012707.
  29. Dong, A. and Sarkar, S., 2015, Forecasting technological progress potential based on the complexity of product knowledge, Technological Forecasting and Social Change, 90B, pp. 599-610.
  30. Sarkar, S., Dong, A., Henderson, J. A., and Robinson, P. A., 2013, Spectral characterization of hierarchical modularity in product architectures, Journal of Mechanical Design, 136(1), 011006, doi: 10.1115/1.4025490.
  31. Sarkar, S., Henderson, J. A., and Robinson, P. A., 2013, Spectral characterization of hierarchical network modularity and limits of modularity detection, PLoS One, 8(1), e54383, doi: 10.1371/journal.pone.0054383.
  32. Dong, A., Sarkar, S., Yang, M.C., and Honda, T., 2013, A linguistic approach to assess the dynamics of design team preference in concept selection, Research in Engineering Design, 25, pp. 75-92.
  33. Dong, A., Sarkar, S., Nichols, C., and Kvan, T., 2012, The capability approach as a framework for the assessment of policies toward civic engagement in design, Design Studies, 34(3), pp.326-344.
  34. Sarkar, S. and Dong, A., 2011, Community detection in graphs using singular value decomposition, Physical Review E, 83(4), 046114.
  35. Dong A. and Sarkar, S., 2011, Unfixing design fixation: From cause to computer simulation, Journal of Creative Behavior, 45(2), pp.147-159.
  36. Sarkar, S., Dong, A. and Gero, J.S., 2010, Learning symbolic formulations in design: Syntax, semantics, knowledge reification, Artificial Intelligence for Engineering Design Analysis and Manufacturing (AIEDAM), 24(1): 63-85.
  37. Sarkar, S., Dong, A. and Gero, J.S., 2009, Design optimization problem reformulation using singular value decomposition, Journal of Mechanical Design, 131(8): 081006.

Book chapters:

  1. Sarkar, S., 2024, Exploring socio-economic inequalities in cities through the lens of urban scaling, D'Acci, L.S. (Ed.), Urban Scaling: Allometry in Urban Studies and Spatial Science (1st ed.). Routledge.
  2. Sarkar, S. and Gero, J.S., 2017, The topology of social influence and the dynamics of design product adoption, Design Computing and Cognition, ’16, Springer, pp. 653-665.
  3. Sarkar, S., 2017, Urban Data Science for Urban Planning: An Introduction, Springer Encyclopedia of GIS, pp.1-8, doi: 10.1007/978-3-319-23519-6_1627-1, Springer.
  4. Sarkar, S., 2015, Spectral (re)-construction of urban street networks: Generative design using global information from structure, Design Computing and Cognition ’14, Springer, pp. 41-55.
  5. Sarkar, S. and Robinson, P.A., 2014, Clustering and modularity in self-organized networks, Guided Self-organization: Inception, Springer Series on Emergence, Complexity, and Computation, ed. M. Propkopenko, pp. 455-468.
  6. Dong, A. and Sarkar, S., 2012, Generalized design knowledge and higher order singular value decomposition, in J.S. Gero (ed.), Design Computing and Cognition ’12, Springer, pp. 415-432.
  7. Sarkar S., Dong, A. and Gero, J.S., 2008, Learning symbolic formulations in design optimization, in J.S. Gero and A. Goel (eds.), Design Computing and Cognition ’08, pp. 533-552, Springer.

Fully Refereed Conference Proceedings:

  1. Kundu, D., Sarkar, S., and Moylan, E., 2022, Evidence of changes in travel behaviour after the introduction of a new transit mode: Canberra’s light rail, Australasian Transport Research Forum (ATRF), 43rd, 2022, Adelaide, South Australia, Australia.
  2. Sarkar, S., Wu, H., Levinson, D., Network measures of polycentricity, Transportation Research Board 2019, Washington DC.
  3. Sarkar, S., Wu, H., Levinson, D., Network measures of polycentricity: An empirical examination of polycentricity in Sydney, 2019, WCTR, World Conference on Transportation Research, IIT Mumbai, India.
  4. Alizadeh, T., Sarkar, S., Burgoyne, S., Pym, A., and Dowling, R., Enabling Smart Participatory Local Government, Smart and Sustainable Built Environments Conference, 4-7 December 2018, UTS Sydney.
  5. Sarkar, S. and Gurran, N., 2017, Big data on accommodation sharing in urban Australia, Proceedings of Computers in Urban Planning and Management (CUPUM) Conference, Adelaide, July 2017.
  6. Sarkar, S., 2016, Do income distributions scale with city size?, CTCS – Cities as Complex Systems Symposium: Structure, scaling and economics, July 13– 15, Herrenhausen Palace, Hanover.
  7. Sarkar, S. and Searle, G., 2017, Inequality and City Size: Role for Urban Planning?, Proceedings of the State of Australian Cities (SOAC) conference, Adelaide, November 2017.
  8. Dong, A., Sarkar, S., Moullec, M.L., and Jankovic, M., 2016, Eigenvector rotation as an estimation of architectural change, Design Theory and Methodology Conference, ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, paper no. DETC2016-59114, pp.V007T06A014; 11 pages, doi: 10.1115/DETC2016-59114.
  9. Sarkar, S., Chawla, S., Borge-Holthoefer, J., Shameem, P.P., Hammady, H., Filali, F., 2015, On Inferring the Time-Varying Traffic Connectivity Structures of an Urban Environment, ACM SIGKDD, UrbComp2015.
  10. Dorabjee, R., Bown, O., Sarkar, S., and Tomitsch, M., 2015, Back to the Future: Identifying Interface Trends from the Past, Present and Future in Immersive Applications, ACM Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction, pp. 540- 544.
  11. Sarkar, S., Chawla, S. and Weng, H., 2014, Resilience of human brain functional co-activation networks under thresholding, ACM KDD2014, Brain workshop, pre-print available at http://arxiv.org/abs/1407.1549
  12. Sarkar, S. and Dong A., 2014, A Spectral Analysis Software to Detect Modules in a Design Structure Matrix, Risk and change management in complex systems: Proceedings of the 16th International DSM Conference, Paris, France, 2-4 July 2014 (2014): 55.
  13. Sarkar, S., 2013, Street network analysis for understanding typology in cities: A case study of Sydney CBD and suburbs, State of Australian Cities Conference 2013: Refereed Proceedings, ed. K. Ruming, B. Randolph, and N. Gurran, http://www.soacconference.com.au/soac-conference-proceedingsandpowerpoint-presentations/.
  14. Dong, A. and Sarkar, S., Endogenous design potential, Design Theory and Methodology Conference, Proceedings of the American Society of Mechanical Engineers (ASME) 2012 International Design Engineering Technical Conference & Computers and Information in Engineering Conference (IDETC / CIE), ASME Press, New York, paper no. DETC2012-70096, pp.647-657, 11 pages, doi:10.1115/DETC2012-70096.
  15. Sarkar, S. and Dong, A., 2011, Characterizing modularity, hierarchy and module interfacing in complex design systems, Proceedings of the American Society of Mechanical Engineers (ASME) 2011 International Design Engineering Technical Conference & Computers and Information in Engineering Conference (IDETC / CIE), DETC2011-47992, 10 pages, ASME Press, New York.
  16. Sarkar, S., Dong, A. and Gero, J.S., 2009, A Problem Decomposition Method for conceptual design, in A. Chakrabarti (ed.), Research into Design: Supporting Multiple Facets of Product Development, Proceedings of the 2009 International Conference on Research into Design, pp. 59-66, Research Publishing Services, Singapore.
  17. Sarkar, S., Dong, A. and Gero, J.S., 2008, A learning and inference mechanism for design optimization problem reformulation using singular value decomposition, Proceedings of the American Society of Mechanical Engineers (ASME) 2008 International Design Engineering Technical Conference & Computers and Information in Engineering Conference (IDETC / CIE), DETC2008-49147, ASME Press, New York.
  18. Kan, J.W.T., Gero, J.S. and Sarkar, S., 2010, Using a generic method to study software design cognition, in A vander Hoek, M. Petre and A. Baker (eds.), Workshop on Studying Professional Software Design, pp.1-7.
  19. Sarkar, S., Gero, J.S. and Saunders, R., 2007, Re-thinking optimization in design: a situated agent based approach, in Y. Gang, Z. Qi and D. Wei (eds.), Proceedings of the 2007 Computer Aided Architectural Design Research in Asia Conference, Southeast University, Nanjing, China, pp. 185-190.
  20. Gero, J.S. and Sarkar, S., 2005, How to make design optimization more useful to designers: An approach using genetic algorithms, in H. Skates (ed.), Proceedings of the 39th Architectural Science Association Conference, ANZAScA, Wellington, New Zealand, CDROM-ISBN 0-473-10669-8, 8 pages.

Other publication outputs:

  1. Sarkar, S., 2016, Do income distributions scale with city size?, Abstract and Oral Presentation, CTCS – Cities as Complex Systems Symposium: Structure, scaling and economics, July 13th – 15th, Herrenhausen Palace, Hanover.
  2. Sarkar, S., 2016, Invited Tutorial at Design Computing and Cognition ’16, Complex Networks and Design: How the Linked view changes products, processes, and organizations, Chicago, USA, Jun 2016.
  3. Wasnik, S., Sarkar, S., Gurran, N., Chawla, S., and Phibbs, P., 2016, The role of social media and big social data in housing market information dynamics, Australasian Housing Researchers Conference, AHRC 2016, Feb 17-19, Auckland, New Zealand.
  4. Pandejee, G. M., Henderson, J. A., Sarkar, S. and Robinson, P. A., 2014, Interrelating functional connectivity and effective connectivity with structural connectivity of human brain, Human Brain Mapping Conference, Organization for Human Brain Mapping (OBHM), June 8th – 12th, Hamburg, Germany.
  5. Sarkar, S., 2012, Invited talk, Complex networks and methods for hierarchical and overlapping modularity detection, CSIRO Machine Learning Group Research Seminar Series, Marsfield, Epping, Sydney.
  6. Sarkar, S., 2012, Invited talk, Modeling the brain using complex networks, Centre for Integrated Research and Understanding of Sleep Research Seminar Series, CIRUS, NHMRC, Centre for Clinical Research Excellence, Sydney.
  7. Sarkar, S., 2012, Striking absence of modularity in large scale, evolving peer to peer networks, Abstract and oral presentation at the Fifth International Conference on Guided Self-Organization, CSIRO and University of Sydney, Sydney, September 2012.
  8. Sarkar, S. and Robinson, P.A., Inferred modularity in brain networks can be an artifact of mapping resolution, Human Brain Mapping Conference, Organization for Human Brain Mapping, Beijing, China, March 2012.
  9. Sarkar, S., Henderson, J.A. and Robinson, P.A., 2011, Cortical network modularity robustly detected by singular value decomposition of connection matrices, Abstract and Poster for Human Brain Mapping Conference, Organization for Human Brain Mapping, Quebec City, Canada, March 2011.
  10. Sarkar, S. and Robinson, P.A., 2011, Hubs, Information Processing and Overlapping Modularity in the Cortex, Abstract and Oral Presentation at the Australian Workshop on Computational Neuroscience (AWCN), Sydney, December 2011.

(c) 2025 Somwrita Sarkar