Modelling coastal city development in the era of global climate change
There is increasing acknowledgment that low-lying coastal cities are the most densely populated urban settlements and are growing very rapidly, yet these coastal cities are also vulnerable to risks resulting from global climate change and intensive human activities. Various coastal hazard adaptation strategies (CHAS) have been proposed as part of the urban planning policies in response to coastal hazards. However, limited research is available in developing models that simulate the effect of different adaptation strategies on future urban development. There is also a pressing need for urban modelling that works from the fundamental principle that it is people and their interactions with each other and with the built environment that shape our cities, particularly when considering human adaptation in coastal cities. This seminar presents a novel approach to simulate coastal city adaptation strategies and the interactions between human and the environment in coastal city development, using case studies from both developed and developing countries. It aims to provide a spatially explicit understanding of the development of coastal cities as well as new science-based decision tools to aid and optimize policy-making.
Smart card data and location based services: spatial accessibility, service equality and commuter travel behaviours
There are increasing interest in understanding human mobility and travel behaviour using travel smart card data (SCD). Building on long-term go card data, a type of smart card data in use in Southeast Queensland, Australia, I will demonstrate a series of work relating to spatial accessibility, service equality and commuter travel behaviour. I will start by a graphical visualisation of the spatio-temporal commuting patterns by commuters travelling to and from our university campus, and then illustrate how we used the data over a five year period to extract senior commuters (over the age of 65) to understand their travel patterns and change over time. An evaluation of the spatial equality of a system-wide public transport fare policy will also be presented, together with modelling and assessment on the impact of a major fare policy change in concert with the built environment features on commuter travel behaviours in SEQ. I will conclude by a critical assessment of the limitations of using smart card and location based service data and some future applications in this space.
刘艳（Liu Yan）教授是澳大利亚昆士兰大学地球与环境科学学院副院长，地理信息科学专业博士导师，昆士兰大学时空分析研究室主任，昆士兰大学社会科学研究所研究员，是国际地理科学核心期刊《Environment and Planning B: Urban Analytics and City Science》及《Journal of Spatial Science》的编委，上海市地理教育教学研究基地兼职教授。曾担任国际华人地理信息科学学会（GPGIS）主任委员、澳大利亚昆士兰华人科学家与工程师协会（QCASE）副主席及执行委员等职。主要研究包括元胞自动机及基于代理的城市空间发展模拟研究，地理信息大数据挖掘，空间分析及GIS在人文与社会科学中的应用研究。学术成果包括一部专著《基于地理信息系统和元胞自动机的城市发展模型》（由Taylor & Francis 出版集团出版)，并在国际学术期刊上发表论文7０余篇，多项研究获得澳大利亚国家科研基金委、昆士兰州政府、铁拓等的资助。