SPATIO-TEMPORAL ANALYTIC RESEARCH LABORATORY (STAR-LAB)
  • About US
  • People
  • Project
    • Current Projects >
      • CA Urban Modelling
      • Neighbourhood Studies
      • Smartcard Travel Studies
      • Climate Change
      • Remote Sensing
      • PhD Projects
    • Completed Projects >
      • International Migration
      • CA and ABM in Developing Countries
      • Geo-Visualisation
      • Participatory GIS
  • Publication
  • Collaboration
  • Contact

 Welcome to explore our publications.

Picture

Neighbour Complaints:

Cheshire, L., Fitzgerald, R., & Liu, Y. (2019). Neighbourhood change and neighbour complaints: How gentrification and densification influence the prevalence of problems between neighbours. Urban Studies, 56(6), 1093-1112.

​Liu, Y., Cheshire, L., Wang, S., & Fu, X. (2019). A socio-spatial analysis of neighbour complaints using large-scale administrative data: The case in Brisbane, Australia. 
Cities, 90, 168-180.

CA and ABM in Developing Countries:
​
Wahyudi, A., & Liu, Y. (2013). Cellular automata for urban growth modeling: a chronological review on factors in transition rules. In 13th International conference on computers in urban planning and urban Management (CUPUM 2013).

Wahyudi, A., & Liu, Y. (2016). Cellular automata for urban growth modelling. International Review for Spatial Planning and Sustainable Development, 4(2), 60-75.

Wahyudi, A., Liu, Y., & Corcoran, J. (2019). Generating Different Urban Land Configurations Based on Heterogeneous Decisions of Private Land Developers: An Agent-Based Approach in a Developing Country Context. ISPRS International Journal of Geo-Information, 8(5), 229.

Wahyudi, A., & Liu, Y. (2015). Spatial dynamic models for inclusive cities: A brief concept of cellular automata (CA) and agent-based model (ABM). Journal of Regional and City Planning, 26(1), 54-70.

Wahyudi, A., Liu, Y., & Corcoran, J. (2018). Combining Landsat and landscape metrics to analyse large-scale urban land cover change: a case study in the Jakarta Metropolitan Area. Journal of Spatial Science, 1-20.

International Migration:

Wang, S., Sigler, T., Corcoran, J., & Liu, Y. (2019). Modelling the spatial dynamics of Mainland China-born migrants in Australia. Australian Geographer, 50(2), 201-219.

​Wang, S., Liu, Y., Sigler, T., & Corcoran, J. (2019). 3D space–time visualization of individual settlement pathways of Mainland China-born migrants in Queensland, Australia. 
Environment and Planning A: Economy and Space, 51(2), 275-278.

​Wang, S., Sigler, T., Liu, Y., & Corcoran, J. (2018). Shifting dynamics of Chinese settlement in Australia: an urban geographic perspective. 
Geographical Research, 56(4), 447-464.

​Wang, S., Corcoran, J., Liu, Y., & Sigler, T. (2018). Understanding ‘segmented assimilation’in Australian cities: Modelling the residential choices of mainland China-, Hong Kong-and Taiwan-born migrants. 
Applied geography, 99, 140-153.

Wang, S., Corcoran, J., Liu, Y., & Sigler, T. (2018). Visualising the internal migration of the mainland China-born population between Australian capital cities over time. 
Australian Population Studies, 2(1), 56-58.

Wang, S., Liu, Y., Sigler, T., & Corcoran, J. (2019). 
The Settlement Pathways and Residential Mobility of International Migrants in Destination Cities: A Segmented Assimilation Perspective, submitted to Journal of Ethnic and Migration Studies

Geo-visualisation 

​Liu, Y., Wang, S., Fu, X., Xie, B. (2019). A network-constrained spatial identification of high-risk roads for hit-parked-vehicle collisions in Brisbane, Australia. 
Environment and Planning A: Economy and Space, 51(2), 279-282.

Wang, S., Liu, Y., Sigler, T., & Corcoran, J. (2019). 3D space–time visualization of individual settlement pathways of Mainland China-born migrants in Queensland, Australia. Environment and Planning A: Economy and Space, 51(2), 275-278.

Wang, S., Corcoran, J., Liu, Y., & Sigler, T. (2018). Visualising the internal migration of the mainland China-born population between Australian capital cities over time. Australian Population Studies, 2(1), 56-58.

Xie, B., & Liu, Y. (2018). Visualizing Australia’s urban extent: a comparison between residential housing addresses and night-time light data. Regional Studies, Regional Science, 5(1), 365-368.

Smart-card Based Travel Studies:

​Liu, Y., Wang, S., & Xie, B. (2019). Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia. Transport Policy, 76, 78-89.

Corcoran, J., Pojani, D., Rowe, F., Zhou, J., Kim, J., Wei, M., ... & Liu, Y. (2018). Too wet? Too cold? Too hot? This is how weather affects the trips we make.
 
Wei, M., Liu, Y., & Sigler, T. J. (2015, December). An exploratory analysis of Brisbane’s commuter travel patterns using smart card data. In Proceedings of the State of Australian Cities Research Network; State of Australian Cities National Conference, Gold Coast, Australia (pp. 9-11).
 
Maddox, C., Corcoran, J., & Liu, Y. (2013). Mapping spatial flows over time: a case study using journey-to-work data. Journal of Spatial Science, 58(1), 147-159.
 
Wei, M., Liu, Y., Sigler, T., Liu, X., & Corcoran, J. (2019). The influence of weather conditions on adult transit ridership in the sub-tropics. Transportation Research Part A: Policy and Practice, 125, 106-118.
 
Wei, M., Corcoran, J., Sigler, T., & Liu, Y. (2018). Modeling the influence of weather on transit ridership: A case study from Brisbane, Australia. Transportation Research Record, 2672(8), 505-510.
 
Zhang, M., & Liu, Y. (2015, January). An exploratory analysis of Bus Rapid Transit on property values: A case study of Brisbane’s South East Busway. In State of Australian Cities National Conference, 2015, Gold Coast, Queensland, Australia.

​Climate Change and Sea Level Rise:

Mills, M., Leon, J. X., Saunders, M. I., Bell, J., Liu, Y., O'Mara, J., ... & Tulloch, V. J. (2016). Reconciling development and conservation under coastal squeeze from rising sea level. Conservation Letters, 9(5), 361-368.
                                     
Ward, A., Dargusch, P., Thomas, S., Liu, Y., & Fulton, E. A. (2014). A global estimate of carbon stored in the world's mountain grasslands and shrublands, and the implications for climate policy. Global environmental change, 28, 14-24.

Remote Sensing and Lighting Images:

Zhao, X., Yu, B., Liu, Y., Chen, Z., Li, Q., Wang, C., & Wu, J. (2019). Estimation of Poverty Using Random Forest Regression with Multi-Source Data: A Case Study in Bangladesh. Remote Sensing, 11(4), 375.
 
Zhao, X., Yu, B., Liu, Y., Yao, S., Lian, T., Chen, L., ... & Wu, J. (2018). NPP-VIIRS DNB daily data in natural disaster assessment: evidence from selected case studies. Remote Sensing, 10(10), 1526.

Participatory GIS:

Zolkafli, A., Brown, G., & Liu, Y. (2017). An evaluation of participatory GIS (PGIS) for land use planning in Malaysia. The Electronic Journal of Information Systems in Developing Countries, 83(1), 1-23.
 
Zolkafli, A., Brown, G., & Liu, Y. (2017). An evaluation of the capacity-building effects of participatory GIS (PGIS) for public participation in land use planning. Planning Practice & Research, 32(4), 385-401.
 
Zolkafli, A., Liu, Y., & Brown, G. (2017). Bridging the knowledge divide between public and experts using PGIS for land use planning in Malaysia. Applied Geography, 83, 107-117.

CA Urban Modelling and Simulation:

​Feng, Y., Liu, Y., & Tong, X. (2018). Comparison of metaheuristic cellular automata models: A case study of dynamic land use simulation in the Yangtze River Delta. Computers, Environment and Urban Systems, 70, 138-150.
 
Feng, Y., Liu, Y., & Liu, Y. (2017). Spatially explicit assessment of land ecological security with spatial variables and logistic regression modeling in Shanghai, China. Stochastic environmental research and risk assessment, 31(9), 2235-2249.

Feng, Y., Chen, X., & Liu, Y. (2017). Detection of spatial hot spots and variation for the neon flying squid Ommastrephes bartramii resources in the northwest Pacific Ocean. Chinese Journal of Oceanology and Limnology, 35(4), 921-935.
 
Feng, Y., Chen, X., & Liu, Y. (2016). The effects of changing spatial scales on spatial patterns of CPUE for Ommastrephes bartramii in the northwest Pacific Ocean. Fisheries research, 183, 1-12.
Liu, Y., & Feng, Y. (2016). Simulating the impact of economic and environmental strategies on future urban growth scenarios in Ningbo, China. Sustainability, 8(10), 1045.
 
Feng, Y., & Liu, Y. (2016). Scenario prediction of emerging coastal city using CA modeling under different environmental conditions: a case study of Lingang New City, China. Environmental monitoring and assessment, 188(9), 540.
 
Feng, Y., Chen, X., & Liu, Y. (2017). Detection of spatial hot spots and variation for the neon flying squid Ommastrephes bartramii resources in the northwest Pacific Ocean. Chinese Journal of Oceanology and Limnology, 35(4), 921-935.
​
Feng, Y., Liu, Y., & Liu, D. (2015). Shoreline mapping with cellular automata and the shoreline progradation analysis in Shanghai, China from 1979 to 2008. Arabian Journal of Geosciences, 8(7), 4337-4351.
 
Feng, Y., Liu, Y., & Batty, M. (2016). Modeling urban growth with GIS based cellular automata and least squares SVM rules: a case study in Qingpu–Songjiang area of Shanghai, China. Stochastic environmental research and risk assessment, 30(5), 1387-1400.

Feng, Y., & Liu, Y. (2015). Fractal dimension as an indicator for quantifying the effects of changing spatial scales on landscape metrics. Ecological Indicators, 53, 18-27.

Liu, Y., Feng, Y., & Pontius, R. (2014). Spatially-explicit simulation of urban growth through self-adaptive genetic algorithm and cellular automata modelling. Land, 3(3), 719-738.
 
Liu, Y. (2013). A Web-Based Fuzzy CA Model for Urban Growth Simulation. In Planning Support Systems for Sustainable Urban Development (pp. 363-373). Springer, Berlin, Heidelberg.

Feng, Y., & Liu, Y. (2013). A cellular automata model based on nonlinear kernel principal component analysis for urban growth simulation. Environment and Planning B: Planning and Design, 40(1), 117-134.
 
Feng, Y., & Liu, Y. (2013). A heuristic cellular automata approach for modelling urban land-use change based on simulated annealing. International Journal of Geographical Information Science, 27(3), 449-466.
 
Liu, Y., & Feng, Y. (2012). Mining of CA based land transition rules through self-adaptive genetic algorithm for urban growth modeling.
 
Feng, Y., & Liu, Y. (2012). An optimised cellular automata model based on adaptive genetic algorithm for urban growth simulation. In Advances in spatial data handling and GIS (pp. 27-38). Springer, Berlin, Heidelberg.

Liu, Y. (2012). Modelling sustainable urban growth in a rapidly urbanising region using a fuzzy-constrained cellular automata approach. International Journal of Geographical Information Science, 26(1), 151-167.

Liu, Y., & Feng, Y. (2012). A logistic based cellular automata model for continuous urban growth simulation: A case study of the Gold Coast City, Australia. In Agent-based models of geographical systems (pp. 643-662). Springer, Dordrecht.

Feng, Y., & Liu, Y. (2012). An optimised cellular automata model based on adaptive genetic algorithm for urban growth simulation. In Advances in spatial data handling and GIS (pp. 27-38). Springer, Berlin, Heidelberg.

Yong-jiu, F. E. N. G., Yan, L., & Zhen, H. (2011). Land use simulation and landscape assessment by using genetic algorithm based on cellular automata under different sampling schemes. Yingyong Shengtai Xuebao, 22(4).

Cao, K., Batty, M., Huang, B., Liu, Y., Yu, L., & Chen, J. (2011). Spatial multi-objective land use optimization: extensions to the non-dominated sorting genetic algorithm-II. International Journal of Geographical Information Science, 25(12), 1949-1969.

Feng, Y., Liu, Y., Tong, X., Liu, M., & Deng, S. (2011). Modeling dynamic urban growth using cellular automata and particle swarm optimization rules. Landscape and Urban Planning, 102(3), 188-196.

FENG, Y., LIU, M., TONG, X., LIU, Y., & HAN, Z. (2010). Kernel Principal Components Analysis Based Cellular Model for Restructuring and Predicting Urban Evolution [J]. Acta Geographica Sinica, 6.

Feng, Y., Tong, X., Liu, Y., & Liu, M. (2010). A particle swarm intelligence based cellular model for urban morphology evolution modelling-A case study in jiading District of Shanghai. Journal of Geo-Information Science, 1.

Liu, Y., & He, J. (2009, October). Developing a web-based cellular automata model for urban growth simulation. In International symposium on spatial analysis, spatial-temporal data modeling, and data mining (Vol. 7492, p. 74925C). International Society for Optics and Photonics.
​
Liu, Y. (2008). Modelling urban development with geographical information systems and cellular automata. CRC Press.

Proudly powered by Weebly
  • About US
  • People
  • Project
    • Current Projects >
      • CA Urban Modelling
      • Neighbourhood Studies
      • Smartcard Travel Studies
      • Climate Change
      • Remote Sensing
      • PhD Projects
    • Completed Projects >
      • International Migration
      • CA and ABM in Developing Countries
      • Geo-Visualisation
      • Participatory GIS
  • Publication
  • Collaboration
  • Contact