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Professor Yan Liu
Professor

Yan Liu

Email: 
Phone: 
+61 7 336 56483

Overview

Background

Professor Yan Liu is a Spatial Data Scientist and a Quantitative Human Geographer, specialising in Geographical Information Science (GIS), urban modelling and geo-simulation, spatial data analytics, and spatially integrated social studies. Her research focuses on developing cutting-edge methods for the collection, analysis and modelling of spatial data in order to provide science-based decision tools and data-driven solutions to a range of social-environmental challenges that we face in our urban and regional space. Her research is multidisciplinary in nature, connecting human geography with geomatic engineering, environmental, social and behavioural sciences and spatial science education through the innovative use of spatial data and technologies, with the overall aim to advance human knowledge and understanding of the spatial evolution of cities, the underpinning driving forces, the interactions between people and the physical and built-environment they live in, along with the planning of resilient cities and communities in response to the global challenges such as population growth, ageing, climate change and global pandemics. In the era of Big Data, the analysis of space, place and people—through the use of spatial (big) data—becomes pivotal in developing a holistic and grassroots understanding of our cities in order to achieve sustainable and healthy living in our urban space. Yan's profound expertise in GIS and spatial data analytics as well as her broad general knowledge across multiple disciplines enables her to tackle these important social-spatial issues necessarily from a multi-disciplinary and cross-disciplinary perspective. Yan has recently been appointed to the ARC College of Experts (2022-2024). She also serves in the Scientific Advisory Board of the Australian Urban Research Infrastructure Network (AURIN) (2021-2023), and in the Executive Committee of the International Geographical Union (IGU) Applied Geography Commission (2021-2023), amongst others.

Availability

Professor Yan Liu is:
Available for supervision
Media expert

Qualifications

  • Doctor of Philosophy, The University of Queensland

Research interests

  • Urban Modelling and Geo-Simulation

    My work focus on developing cellular automat (CA) models to understand the spatio-temporal patterns, processes, and drivers of urban growth; and modelling human-environment interactions through scenario planning and geo-simulation. More recent work focuses on understanding how the decision behaviours of various stakeholders impact on the spatio-temporal processes of urban growth through an integrated CA and agent based modelling (ABM) approach. I am currently recruiting PhD students to work on: 1) developing an irregular parcel based CA and 3D CA model to simulate vertical urban growth in Brisbane; 2) a cross-cultural comparison/validation of a CA-ABM model to simulate urban growth dynamics.

  • Spatial Data Analytics

    I am interested in all aspects of spatial data analytics, including big data and spatio-temporal data mining tools and methods, with the aim to enhance our understanding on a range of social geographical and health related issues. Some on-going research in the field include: analysis and modelling of public transport services and human mobility and travel behaviours using smart card data; mining of large scale administrative data to understand (un)-neighbourliness and neighbourhood disorders; modelling of spatial access to green space, health and other services and facilities to identify disparity and inequalities.

  • 3D modelling and Geo-Visualisation

    My work in this field focuses on spatial visualisation, 3D GIS and applications in spatial skills development and education. I am currently working on a project to develop a 3D city model and implement a sequential technology-enabled curriculum in Urban Planning using 3D modelling techniques to enhance students' spatial skills and become work-ready planners.

Research impacts

Professor Liu's research addresses a range of socio-spatial challenges in our urban and regional environments through the development of spatially-integrated research approaches which incorporate spatial data mining and big/small data analytics. Her research includes (but not limited to) accessibility, inequalities in housing and healthcare services, and neighbour interactions, in the context of ever-changing human–environment conditions such as urbanisation, population growth and climate change. Her research contributes to advance our understanding of the spatial evolutions of cities, to create new and much-needed science-based decision tools for optimising government policymaking, and to mitigate risk and improve policy outcomes for communities.

Current projects:

  • The Australian Transport Research Cloud (ATRC) (2020-2023). This project aims to provide a common platform (data, storage, compute and tools) to support the needs of the Australian transport research community.
  • Universitas Diponegoro (2021-2023). Adaptation to flood and inundation of the north Java coastal community towards the sustainability of aquaculture activities: The cases of Pekalongan, Tegal, and Semarang, Indonesia
  • National Natural Science Foundation of China (NSFC) funded project (2019-2022). Ventilation based planning methods to respond urban haze supported by multi-source spatial-temporal big data.

Completed projects:

  • ARC DP (2017-2020). New approaches to modelling human-environment interactions for sustainable coastal city development: spatial complexity, cellular automata and agent-based models.
  • Fund of Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University (2019-2020). Coastal cities: environmental evolution, climate change, and human adaptation.
  • QLD Gov’t Community Sustainability Action Grants (2018-20). Improved offsets for koala conservation.
  • UQ Transport & Population Research Network (TPRN) Seed Fund (2019). Understanding socio-spatial connectedness for older people from culturally and linguistically diverse (CALD) backgrounds: Testing a mixed-methods approach.
  • Academy of the Social Sciences in Australia (ASSA) (2018-19). Ageing well: Place, belonging, and well-being of older Chinese in Australia and China.
  • Ministry of Research, Technology, and High Education, Indonesia (2016-18). The role of spatial planning towards better resilience to hydro-meteorological hazard. Case study: Coast area of Semarang City.
  • Faculty of Science T&L Grant (2019-2020). Collaborative online learning for Geographic Information Science
  • ARC DP (2015-2017). Un-neighbourliness: The nature, causes and outcomes of problems between neighbours using survey and large scale administrative data.
  • UQ FirstLink project (2016-2017). Analyse and map mild stoke outcomes and untreated deficits using GIS approach.
  • UQ Property and Facilities Division funded project (2015-2018) to analyse UQ public transport commuters' travel patterns and behabiours using go card and survey data.

Works

Search Professor Yan Liu’s works on UQ eSpace

153 works between 1996 and 2024

1 - 20 of 153 works

2024

Journal Article

Character contradiction: the exclusionary nature of preservationist planning restrictions

Gallagher, Rachel, Sigler, Thomas Jason and Liu, Yan (2024). Character contradiction: the exclusionary nature of preservationist planning restrictions. Urban Studies, 61 (6), 1013-1030. doi: 10.1177/00420980231195218

Character contradiction: the exclusionary nature of preservationist planning restrictions

2024

Journal Article

Spatiotemporal Variations of Urban Spatial Dispersion and Its Vegetation Degradation in Joglosemar’s Urban Growth Corridors, Indonesia

Dewa, Dimas Danar, Buchori, Imam, Rudiarto, Iwan, Sejati, Anang Wahyu and Liu, Yan (2024). Spatiotemporal Variations of Urban Spatial Dispersion and Its Vegetation Degradation in Joglosemar’s Urban Growth Corridors, Indonesia. Australian Geographer, 55 (2), 1-23. doi: 10.1080/00049182.2024.2331102

Spatiotemporal Variations of Urban Spatial Dispersion and Its Vegetation Degradation in Joglosemar’s Urban Growth Corridors, Indonesia

2024

Journal Article

Measuring mental health service accessibility for Indigenous populations: a systematic review

Zhang, Lihong, Hou, Xiang-Yu and Liu, Yan (2024). Measuring mental health service accessibility for Indigenous populations: a systematic review. Journal of Racial and Ethnic Health Disparities, 1-19. doi: 10.1007/s40615-023-01899-6

Measuring mental health service accessibility for Indigenous populations: a systematic review

2023

Journal Article

Spatio-temporal evolution of resources and environmental carrying capacity and its influencing factors: A case study of Shandong Peninsula urban agglomeration

Fan, Wenping, Song, Xueyan, Liu, Mengnan, Shan, Baoyan, Ma, Mingliang and Liu, Yan (2023). Spatio-temporal evolution of resources and environmental carrying capacity and its influencing factors: A case study of Shandong Peninsula urban agglomeration. Environmental Research, 234 116469, 1-14. doi: 10.1016/j.envres.2023.116469

Spatio-temporal evolution of resources and environmental carrying capacity and its influencing factors: A case study of Shandong Peninsula urban agglomeration

2023

Journal Article

Tracking the settlement patterns of culturally and linguistically diverse (CALD) populations in Australia: A census-based study from 2001 to 2021

Wang, Siqin, Sun, Qian Chayn, Martin, Catherine, Cai, Wenhui, Liu, Yan, Duckham, Matt, Hurley, Joe, Amati, Marco and Choy, Suelynn (2023). Tracking the settlement patterns of culturally and linguistically diverse (CALD) populations in Australia: A census-based study from 2001 to 2021. Cities, 141 104482, 104482. doi: 10.1016/j.cities.2023.104482

Tracking the settlement patterns of culturally and linguistically diverse (CALD) populations in Australia: A census-based study from 2001 to 2021

2023

Journal Article

Google Earth Engine for improved spatial planning in agricultural and forested lands: A method for projecting future ecological quality

Zaki, Abdurrahman, Buchori, Imam, Pangi, Pangi, Sejati, Anang Wahyu and Liu, Yan (2023). Google Earth Engine for improved spatial planning in agricultural and forested lands: A method for projecting future ecological quality. Remote Sensing Applications: Society and Environment, 32 101078, 1-17. doi: 10.1016/j.rsase.2023.101078

Google Earth Engine for improved spatial planning in agricultural and forested lands: A method for projecting future ecological quality

2023

Journal Article

Health-integrated heat risk assessment in Australian cities

Wang, Siqin, Sun, Qian Chayn, Huang, Xiao, Tao, Yaguang, Dong, Chunyu, Das, Shinjita and Liu, Yan (2023). Health-integrated heat risk assessment in Australian cities. Environmental Impact Assessment Review, 102 107176, 1-13. doi: 10.1016/j.eiar.2023.107176

Health-integrated heat risk assessment in Australian cities

2023

Journal Article

Performance of habitat offsets for species conservation in dynamic human‐modified landscapes

Rhodes, Jonathan R., Liu, Yan, Wahyudi, Agung, Maron, Martine, Iftekhar, Md Sayed and Brisbane, Shantala (2023). Performance of habitat offsets for species conservation in dynamic human‐modified landscapes. People and Nature, 6 (5), 1774-1788. doi: 10.1002/pan3.10494

Performance of habitat offsets for species conservation in dynamic human‐modified landscapes

2023

Journal Article

How path dependent urban morphology restricts the effectiveness of rezoning for urban consolidation: lessons from Brisbane, Australia

Gallagher, Rachel, Sigler, Thomas and Liu, Yan (2023). How path dependent urban morphology restricts the effectiveness of rezoning for urban consolidation: lessons from Brisbane, Australia. Journal of Urban Affairs. doi: 10.1080/07352166.2023.2211770

How path dependent urban morphology restricts the effectiveness of rezoning for urban consolidation: lessons from Brisbane, Australia

2023

Other Outputs

South East Queensland Koala Offset Analysis

Rhodes, Jonathan R, Liu, Yan, Wahyudi, Agung, Maron, Martine, Iftekhar, Md Sayed and Brisbane, Shantala (2023). South East Queensland Koala Offset Analysis. The University of Queensland. (Dataset) doi: 10.48610/1c1164e

South East Queensland Koala Offset Analysis

2023

Journal Article

Unpacking the inter- and intra-urban differences of the association between health and exposure to heat and air quality in Australia using global and local machine learning models

Wang, Siqin, Cai, Wenhui, Tao, Yaguang, Sun, Qian Chayn, Wong, Paulina Pui Yun, Huang, Xiao and Liu, Yan (2023). Unpacking the inter- and intra-urban differences of the association between health and exposure to heat and air quality in Australia using global and local machine learning models. Science of The Total Environment, 871 162005, 1-13. doi: 10.1016/j.scitotenv.2023.162005

Unpacking the inter- and intra-urban differences of the association between health and exposure to heat and air quality in Australia using global and local machine learning models

2023

Journal Article

Understanding cycling dissonance in travel mode choice for work trip chains: the role of modality styles

Zhang, Lihong, Liu, Yan, Lieske, Scott N. and Corcoran, Jonathan (2023). Understanding cycling dissonance in travel mode choice for work trip chains: the role of modality styles. Applied Geography, 153 102895. doi: 10.1016/j.apgeog.2023.102895

Understanding cycling dissonance in travel mode choice for work trip chains: the role of modality styles

2023

Journal Article

Evaluating the impact of road network configuration on hotel layout based on big data, GIS and space syntax–evidence from Shanghai

Fan, Wenping, Zhang, Jing, Shan, Baoyan and Liu, Yan (2023). Evaluating the impact of road network configuration on hotel layout based on big data, GIS and space syntax–evidence from Shanghai. Current Issues in Tourism, 27 (5), 787-804. doi: 10.1080/13683500.2023.2184680

Evaluating the impact of road network configuration on hotel layout based on big data, GIS and space syntax–evidence from Shanghai

2023

Journal Article

Public surveillance of social media for suicide using advanced deep learning models in Japan: time series study from 2012 to 2022

Wang, Siqin, Ning, Huan, Xiao, Huang, Xiao, Yunyu, Zhang, Mengxi, Yang, Fan, Sadahiro, Yukio, Liu, Yan, Li, Zhenlong, Hu, Tao, Fu, Xiaokang, Li, Zi and Zeng, Ye (2023). Public surveillance of social media for suicide using advanced deep learning models in Japan: time series study from 2012 to 2022. Journal of Medical Internet Research, 25 e47225, 1-14. doi: 10.2196/47225

Public surveillance of social media for suicide using advanced deep learning models in Japan: time series study from 2012 to 2022

2023

Journal Article

A global portrait of expressed mental health signals towards COVID-19 in social media space

Wang, Siqin, Huang, Xiao, Hu, Tao, She, Bing, Zhang, Mengxi, Wang, Ruomei, Gruebner, Oliver, Imran, Muhammad, Corcoran, Jonathan, Liu, Yan and Bao, Shuming (2023). A global portrait of expressed mental health signals towards COVID-19 in social media space. International Journal of Applied Earth Observation and Geoinformation, 116 103160, 1-12. doi: 10.1016/j.jag.2022.103160

A global portrait of expressed mental health signals towards COVID-19 in social media space

2023

Journal Article

How does heterogeneity in dwelling type preferences relate to housing and built environment characteristics?

Huang, Yuanyuan, Lieske, Scott N., Wang, Siqin and Liu, Yan (2023). How does heterogeneity in dwelling type preferences relate to housing and built environment characteristics?. International Journal of Digital Earth, 16 (1), 93-112. doi: 10.1080/17538947.2022.2163713

How does heterogeneity in dwelling type preferences relate to housing and built environment characteristics?

2023

Journal Article

Climate gentrification: A conceptual framework and empirical evidence in the City of Gold Coast, Australia

Wang, Siqin, Wang, Haiyun and Liu, Yan (2023). Climate gentrification: A conceptual framework and empirical evidence in the City of Gold Coast, Australia. Cities, 132 104100, 1-14. doi: 10.1016/j.cities.2022.104100

Climate gentrification: A conceptual framework and empirical evidence in the City of Gold Coast, Australia

2022

Journal Article

Urban–rural disparity of social vulnerability to natural hazards in Australia

Wang, Siqin, Zhang, Mengxi, Huang, Xiao, Hu, Tao, Sun, Qian Chayn, Corcoran, Jonathan and Liu, Yan (2022). Urban–rural disparity of social vulnerability to natural hazards in Australia. Scientific Reports, 12 (1) 13665, 1-15. doi: 10.1038/s41598-022-17878-6

Urban–rural disparity of social vulnerability to natural hazards in Australia

2022

Journal Article

Shannon entropy-based urban spatial fragmentation to ensure sustainable development of the urban coastal city: a case study of Semarang, Indonesia

Dewa, Dimas Danar, Buchori, Imam, Sejati, Anang Wahyu and Liu, Yan (2022). Shannon entropy-based urban spatial fragmentation to ensure sustainable development of the urban coastal city: a case study of Semarang, Indonesia. Remote Sensing Applications: Society and Environment, 28 100839, 100839. doi: 10.1016/j.rsase.2022.100839

Shannon entropy-based urban spatial fragmentation to ensure sustainable development of the urban coastal city: a case study of Semarang, Indonesia

2022

Journal Article

Adaptation strategies and community participation in government-led mitigation projects: a comparison between urban and suburban communities in Pekalongan, Indonesia

Buchori, Imam, Zaki, Abdurrahman, Pangi, Pangi, Sejati, Anang Wahyu, Pramitasari, Angrenggani and Liu, Yan (2022). Adaptation strategies and community participation in government-led mitigation projects: a comparison between urban and suburban communities in Pekalongan, Indonesia. International Journal of Disaster Risk Reduction, 81 103271, 1-13. doi: 10.1016/j.ijdrr.2022.103271

Adaptation strategies and community participation in government-led mitigation projects: a comparison between urban and suburban communities in Pekalongan, Indonesia

Funding

Current funding

  • 2022 - 2025
    Multidisciplinary co-design of innovative, client-centred models for Indigenous mental health services in South East Queensland
    NHMRC MRFF - Indigenous Health Research Grant
    Open grant

Past funding

  • 2020 - 2023
    Australian Transport Research Cloud (ATRC) Platform
    University of Melbourne
    Open grant
  • 2017 - 2020
    Improved Offsets for Koala Conservation
    Queensland Department of Environment and Heritage Protection
    Open grant
  • 2017 - 2021
    New modelling approaches for sustainable coastal city development
    ARC Discovery Projects
    Open grant
  • 2016 - 2017
    Cured or condemned? Mapping mild stoke outcomes and untreated deficits
    UQ Collaboration and Industry Engagement Fund - FirstLink
    Open grant
  • 2015 - 2017
    Un-neighbourliness: The nature, causes and outcomes of neighbour problems
    ARC Discovery Projects
    Open grant
  • 2012 - 2013
    Developing an urban growth model using GIS and cellular automata in the Moreton Bay Regional Council Region
    UniQuest Pty Ltd
    Open grant
  • 2011 - 2012
    The relationship between habitat loss, stressors and disease in Queensland koalas
    Queensland Department of Environment and Resource Management
    Open grant
  • 2011
    Spatial disparity in the private rental market in Southeast Queensland: A GIS-based analysis and visualisation
    UQ Early Career Researcher
    Open grant
  • 2010 - 2011
    Geographical Analysis of Health Care Delivery and Planning using Geographical Information System Technology
    UQ New Staff Research Start-Up Fund
    Open grant

Supervision

Availability

Professor Yan Liu is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Available projects

  • Modelling and planning for sustainable coastal city development

    This project draws on the understanding of the physical and eco-system evolution from existing research to develop an integrated modelling framework to simulate and plan for the spatial and temporal processes of urban development under the impact of climate change and human adaptation strategies. Specifically, it aims to 1) model contemporary urban development, urban morphology and settlement patterns to better understand the influence of different scenarios on the coastal city; 2) evaluate the impacts associated with urban development over different time horizons. Impacts may include transportation costs, land consumption, physical infrastructure costs, and changes in productivity as well as sustainability indicators; and 3) project future urban development as a means of testing uncertain environmental futures. If interested in working on this project please contact me at yan.liu@uq.edu.au.

  • Using participatory GIS to facilitate place-based health planning

    Place-based health planning is an effective and innovative approach to health planning that is developed drawing on local demographic, socioeconomic, and environmental factors. It identifies and prioritises local health needs and develops and delivers locally-led, evidence-based solutions. Place-based approaches are collaborative endeavours which aim to create systematic changes for long-term outcomes by fostering community partnerships and bringing together efforts across the community, service providers and government levels. An important part of place-based planning is to understand the needs of communities. Such a planning process can be facilitated using Public Participation Geographic Information System (PPGIS). PPGIS is a spatial tool that can be used to engage the local communities and residents to capture their local knowledge, and advance their needs and goals for health services. Therefore, this PhD project aims at developing a PPGIS approach to engage local residents in order to understand and prioritise their health needs, enablers and barriers impacting on their acces to health services in order to develop planning interventions to meet people’s health needs and improve their health outcomes. If interested in working on this project please contact me at yan.liu@uq.edu.au.

  • Spatial (big) data analytics and data science

    The emergence of open and new data available from various sources have presented significant opportunities for research in the urban sciences. Entering into the new era of big data, ever-increasing quantities at near real time will ultimately change the ways in which human agents interact with each other and with the urban space they occupy and transform; these pose new challenges to urban modellers and researchers, and much effort should be devoted to conquer the aforementioned big data challenges. In this context, I welcome any project that aims at developing novel approaches for spatial (big) data monitoring, analytics, modelling and simulation in order to addresses a range of socio-spatial challenges in our urban and regional environments, including (but not limited to) accessibility, inequalities in housing and healthcare services, and neighbour interactions, in the context of ever-changing human–environment conditions such as urbanisation, population growth and climate change. If interested in working on this project please contact me at yan.liu@uq.edu.au.

Supervision history

Current supervision

  • Doctor Philosophy

    Modelling Human-Environment Interactions: Testing Irregular CA and 3D Urban Models

    Principal Advisor

    Other advisors: Professor Jonathan Corcoran, Dr Scott Lieske

  • Doctor Philosophy

    Mobility Culture and Micro-scale Living Patterns: Re-conceptualization of Land Use and Movement Patterns in Australian Cities

    Associate Advisor

    Other advisors: Dr Dan Luo, Dr Silvia Micheli

  • Doctor Philosophy

    Urban Consolidation through Densification: the Constraints of Existing Property Boundaries

    Associate Advisor

    Other advisors: Ms Stephanie Wyeth, Dr Thomas Sigler

Completed supervision

Media

Enquiries

Contact Professor Yan Liu directly for media enquiries about:

  • 3D GIS
  • Geographical Information System (GIS)
  • Geosimulation
  • Spatial Data Analytics
  • Spatial Data Mining
  • Spatially Integrated Social Science
  • Urban Modelling

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