An important aspect of SIMETRI is the development of an open platform to share spatial data sources and results. The platform is developed by Shenzhen University’s Guangdong Key Lab of Urban Informatics.
In the media
Research project SIMETRI: Zooming on land-use simulation (blog on spatialeconomics.nl, April, 2022)
Research project: SIMETRI (VU-SBE research portal, 2 August, 2019)
A wealth of information is available about the Greater Bay area that is the main study area of SIMETRI. This Information centre is maintained by our partner at the Shenzhen Institute of Research and Innvovation (The University of Hong Kong).
Batty, M. (2022). Perspective: The shape of future cities: Three speculations, Transactions in Urban Data, Science, and Technology, 1.
Bian, Fang, and Anthony Yeh (2020). Spatial-economic impact of missing Highway I's regional economy. Transportation Research Part D: Transport and Environment, 84, 102377.
Chen, Fei, and Suhong Zhou, et al. (2019). Influence of built environment on residents‘ leisure time physical activity from the perspective of cycle. World Regional Studies（in Chinese, 28(05):106-117. (陈菲,周素红*,张琳.生命周期视角下建成环境对居民休闲体力活动的影响[J].世界地理研究, 28(05):106-117.)
Chen, Zifeng, and Anthony Yeh (2020). Socioeconomic variations and disparity in space–time accessibility in suburban China: A case study of Guangzhou. Urban Studies (onlinefirst).
Ferdinand, P.A., Andrée, B.P.J. and E. Koomen (2021). Revised calibration of the 2UP model. SPINlab Research Memorandum SL-19, Vrije Universiteit Amsterdam, 19 pp.
Ferdinand, P.A., Andrée, B.P.J. and E. Koomen (2021). Validating a global urbanisation model. In: Pinto, N., Gamal, Y., Badawy, A., Odell, H. (eds.) European Colloquium on Theoretical and Quantitative Geography 2021 - Book of extended abstracts. Manchester, United Kingdom 3-5 November 2021, pp.198-201, ISBN: 978-0-9576682-6-3.
Gao, Q.L., Yue, Y., Zhong, C., Cao, J., Tu, W., Li, Q.Q. (2022). Revealing transport inequality from an activity space perspective: A study based on human mobility data, Cities, 131, 104036.
Koomen, Eric (2019). Analysing and simulating urban density: exploring the difference between policy ambitions and actual trends in the Netherlands. [Invited lecture]. Pre-conference workshop, 3rd International Land Use Symposium, Paris, France.
Koomen, Eric (2019) The impact of urban resurgence on public green space. In: Book of abstracts, AGORA Thematic Dialogue 2019, Unfolding Dilemmas in Urban Public Space Development and Maintenance. Riga, Latvia, 20-21 November 2019, pp-39-41.
Koomen, Eric, and Lara Engelfriet (2019). Urban form and commuting in large Chinese cities. Proceedings of the 3rd International Land Use Symposium (p. 51). Paris, France.
Koomen, Eric, Jolien van Huystee, Bas van Hemmel, Arno Bouwman, Willem Ligtvoet and Bo Andree (2019). Localising global urban development; simulating local exposure to natural hazards in the global 2UP model. Presentation given at the 21th European Colloquiem on Theoretical and Quantitative Geography, held in Mondorf-les-Bains, Luxembourg, 5-9 September.
Li, Q.-Q., Yue, Y., Gao, Q.-L., Zhong, C., Barros, J. (2022). Towards a new paradigm for segregation measurement in an age of big data. Urban Informatics, 1(1), 1-15.
Li, Yijing, Qunshan Zhao, and Chen Zhong (2022). GIS an urban data science, Annals of GIS, 28: 89-92.
Li, Qiumeng, Suhong Zhou, and Ping Wen (2019). The relationship between centrality and land use patterns: Empirical evidence from five Chinese metropolises. Computers, Environment and Urban Systems 78: 101356.
Liu, Yan, Michael Batty, Sisi Wang, and John Corcoran (2020). Modelling urban change with cellular automata: Contemporary issues and future research directions. Progress in Human Geography, 1-22.
Luo, Zixin, Suhong Zhou., et al (2019). Cross-border Social Networks: a Case Study of Guangfo Metro, China. Urban Studies（in Chinese). 26(06):70-78. (罗子昕,周素红*,何嘉明.区域一体化下城市居民跨边界社会网络构建——以广佛地铁为例[J].城市发展研究,26(06):70-78)
Rui, Cao, Wei Tu, Cuixin Yang, Qing Li, Jun Liu, Jiasong Zhu, Qian Zhang, Qingquan Li, and Guoping Qiu (2020). Deep learning-based remote and social sensing data fusion for urban region function recognition. ISPRS Journal of Photogrammetry and Remote Sensing 163: 82-97.
Shi, Zhenqin, Zhou Suhong et al. (2020). Jobs-Housing relationship in different industries and its impact on traffic demand on road networks: a case study in Guangzhou. Urban Planning（in Chinese) 44(02):87-94. ( 时振钦, 周素红*, 陈颖. 分行业居住- 就业空间关系及路网交通需求分异—— 以广州市为例[J]. 城市规划, 44(02):87-94.)
Smith, D. A. and Barros, J. (2021). Sustainable Transport Planning and Residential Segregation at the City Scale. In: Urban Form and Accessibility. Edited by Mulley, C. and Nelson, J. Elsevier: 27-44.
Smith, Duncan A., Joana Barros, Chen Zhong, Mike Batty, and Maria Giannotti (2020). A compact city for the wealthy? Employment accessibility inequalities between occupational classes in the London metropolitan region 2011. Journal of Transport Geography 86: 102767.
Tare, Apeksja, Nefs, M., Koomen, Eric, and Erik Verhoef (2021). Spatial preferences of logistic development. In: Pinto, N., Gamal, Y., Badawy, A., Odell, H. (eds.) European Colloquium on Theoretical and Quantitative Geography 2021 - Book of extended abstracts. Manchester, United Kingdom 3-5 November 2021, pp. 368-372. ISBN: 978-0-9576682-6-3.
Tare, Apeksha, Jan Rouwendal, E. Buitelaar, and F. Schilder (2019). Effect of density on house prices in the Randstad region. Proceedings of the 3rd International Land Use Symposium (p. 79). Paris, France.
Tu, Wei, Tingting Zhu, Jizhe Xia, Yulun Zhou, Yani Lai, Jincheng Jiang, Qingquan Li (2020). Portraying the spatial dynamics of urban vibrancy using multisource urban big data. Computers, Environment and Urban Systems 80: 101428.
Tu, Wei, Tingting Zhu, Chen Zhong , Zhang Xiaohu, Carlo Ratti, and Qingquan Li (2020). Exploring the Interaction of Metrovibrancy and Built Environment - A Comparative Study in Shenzhen, Singapore and London. Shenzhen University, King’s College London, Massachusetts Institute of Technology.
Wang, Y., Zhong, C., Gao, Q., Cabrera-Arnau, C. (2022). Understanding internal migration in the UK before and during the COVID-19 pandemic using Twitter data, Urban Informatics 1, 15.
Yang, Y., Zhong, C., Gao, Q.L. (2022). An extended node-place model for comparative studies of transit-oriented development, Transportation Research Part D: Transport and Environment, 113, 103514.
Zhang, Yatao, Qingquan Li, Wei Tu, Ke Mai, Yao Yao, and Yiyong Chen. (2019). Functional urban land use recognition integrating multi-source geospatial data and cross-correlations. Computers, Environment and Urban Systems 78: 101374.
Zhang, B., Zhong, C., Gao, Q., Shabrina, Z. (2022). Delineating urban functional zones using mobile phone data: a case study of cross-boundary integration in Shenzhen-Dongguan-Huizhou Area. Computers, Environment and Urban Systems, 98, 101872.
Zhong, C.,Wei Tu Wei, et al (2020). Profiling rapid urban transformation through urban mobility data in Shenzhen. In the Geography of Mobility, Wellbeing and Development in China (pp. 86-100): Routledge.
Zhu, R., Anselin, L., Batty, M., Kwan, M-P., Chen, M., Luo, W., Cheng, T., Lim, C. K., Santi, P., Cheng, C., Gu, Q., Wong, M. S., Zhang, K., Lü, G., and Ratti, C. (2021) The effects of different travel modes and travel destinations on COVID-19 transmission in global cities, Science Bulletin.