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Publications

Year
Direction

Urban Analytics For Sustainable Digital Transformation In Cities

  1. Guan, C., Yan, K., Zhang, B., Li, Y., & Zhang, X. (2023) The Efficacy of Mortgage Lending on Geographically Disparate and Differently Priced Residential Neighborhoods in Shanghai. The Professional Geographer (SSCI) https://doi.org/10.1080/00330124.2022.2148902  
  2. Guan, C., Wang, Y., Keith, M., Li, Y., Cao, G. (2022) Does local planning of fast-growing medium-sized towns lead to higher urban intensity or to sprawl? Cases from Zhejiang Province. Cities 130, 103869 (SSCI) https://doi.org/10.1016/j.cities.2022.103869

  3. Cai, Z., Guan, C.*, Trinh, A., Zhang, B., Chen, Z., Srinivasan, S., Nielsen, C. (2022) How to leverage urban residents’ satisfactions on self-perceived health? Neighborhood social and built environment effects in Chengdu, China. Sustainability 14(20), 13389. (SSCI) https://doi.org/10.3390/su142013389

  4. Bogdanowicz, A., Guan, C.* (2022) Public sentiment during the COVID-19 pandemic: Dynamic topic modeling of Twitter data in the United States. PLOS ONE (SCIE) https://doi.org/10.1371/journal.pone.0268669

  5. Guan, C.*, Tan, J., Hall, B., Liu, C., Li, Y., Cai, Z. (2022) The effect of the built environment on the COVID-19 pandemic at the initial stage: a county level study of the United States. Sustainability 14(6), 3417. (SCI & SSCI) https://doi.org/10.3390/su14063417

  6. Shi, Y., Yang, J. Keith, M., Song, K., Li, Y., Guan, C.*. (2022) Spatial accessibility patterns to public hospitals in Shanghai: An improved gravity model. The Professional Geographer 74(2), 265-289. (SSCI) https://doi.org/10.1080/00330124.2021.2000445

  7. Yao, Z., Yang, J., Liu, J., Keith, M., Guan, C.* (2021) Comparing Tweet sentiment in megacities using machine learning techniques: In the midst of COVID-19. Cities 116, 103273. (SSCI) https://doi.org/10.1016/j.cities.2021.103273

  8. Liu, C., Liu, Z., Guan, C. (2021) The impacts of the built environment on the incidence rate of COVID-19: A case study of King County, Washington. Sustainable Cities & Society 74, 103144 (SCI) https://doi.org/10.1016/j.scs.2021.103144

  9. Guan, C.*, Rowe, P. (2021) Beyond big versus small: assessing spatial variation of urban neighborhood block structures in high‑density cities. Socio-Ecological Practice Research 3, 37-53. (CNKI) https://doi.org/10.1007/s42532-021-00074-7

  10. Guan, C.*, Tan, J., Peiser, R. (2021) Spatiotemporal effects of proximity to metro extension on housing price dynamics in Manhattan, New York City. Journal of Transport and Land Use 14(1) 1295-1315. (SSCI) https://doi.org/10.5198/jtlu.2021.1915

  11. Guan, C.* and Forsyth, A. (2020) The influence of urban form and socio-demographics on active transport: A 40-neighborhoods study in Chengdu, China. Journal of Transport and Land Use, 13(1), 367-388. (SSCI) https://doi.org/10.5198/jtlu.2020.1697

  12. Guan, C.*, Srinivasan, S., Zhang, B., Da, L., Liu, J., Nielsen, C. (2020) The influence of neighborhood types and accessibility on active transport in China’s growing cities. Transportation Research Part D: Transport and Environment, 80, 102273. (SCI&SSCI) https://doi.org/10.1016/j.trd.2020.102273

  13. Srinivasan, S., Guan, C.*, Nielsen, C. (2020) Built environment, income and travel behavior: Change in the city of Chengdu, China 2005-2016. International Journal of Sustainable Transportation 14:10, 749-760. (SSCI) https://doi.org/10.1080/15568318.2019.1625088

  14. Guan, C. (2019) Spatial distribution of high-rise buildings and its relationship to public transit development in Shanghai. Transport Policy 81, 371-380. (SSCI)  https://doi.org/10.1016/j.tranpol.2018.09.004

  15. Guan, C.*, Srinivasan, S., Nielsen, C. (2019) Does neighborhood form influence low-carbon transportation in China? Transportation Research Part D: Transport and Environment 67, 406-420. (SCI&SSCI) https://doi.org/10.1016/j.trd.2018.12.015

  16. Guan, C.*, Keith, M., Hong, A., Wang, Y. (2019) Designing walkable cities and neighborhoods in the era of urban big data. Urban Planning International 34 (5) 9-15. DOI:10.22217/upi.2019.389

  17. Guan, C.*, Peiser, R. (2018) Accessibility, urban form, and property value: A study of Pudong, Shanghai. Journal of Transport and Land Use, 11(1) 1057-1080. (SSCI) http://dx.doi.org/10.5198/jtlu.2018.1318

  18. Guan, C.*, Rowe, P. (2016). The concept of urban intensity and China’s townization policy: Cases from Zhejiang Province. Cities, 55, 22-41. (SSCI) https://doi.org/10.1016/j.cities.2016.03.012

  19. Deng, H., Hu, Q., Guan, C., Chen, Y. S., & Menendez, M. (2024). Building a government-owned open data platform for connected and autonomous vehicles. Cities (SSCIhttps://doi.org/10.1016/j.cities.2024.104918

  20. Chen Zhibin,Deng Yanling,Xie Chi,Guan ChengHe & Pan Tianlu.(2023).Network equilibrium of battery electric vehicles considering drivers’ resting behavior. Transportation Research Part C (SCI) https://doi.org/10.1016/j.trc.2023.104305

  21. Hong Andy,Baker Lucy,Prieto Curiel Rafael,Duminy James,Buswala Bhawani,Guan ChengHe & Ravindranath Divya.(2023).Reconciling big data and thick data to advance the new urban science and smart city governance. Journal of Urban Affairs (SSCI) https://doi.org/10.1080/07352166.2021.2021085

  22. Guan, C., Yan, K., Zhang, B., Li, Y., & Zhang, X. (2023) The Efficacy of Mortgage Lending on Geographically Disparate and Differently Priced Residential Neighborhoods in Shanghai. The Professional Geographer (SSCI) https://doi.org/10.1080/00330124.2022.2148902

  23. Liu Chao,Ye Xinyue,Yuan Xiaoru,Long Ying,Zhang Wenwen,Guan Chenghe & Zhang Fan.(2023).Roundtable discussion: progress of urban informatics in urban planning. Frontiers of Urban and Rural Planning https://doi.org/10.1007/s44243-023-00014

  24. Chen, Z., Liu, Y., Yan, P., & Guan, C. (2024). Two-stage deployment and operation plan of PCR sample collection booths under demand uncertainty. Sustainable Cities and Society (SCI) https://doi.org/10.1016/j.scs.2024.105315

Simulation Of Climate-Adaptive Low-Carbon Cities

  1. Guan, C., Gómez, J. A., Tripathy, P., Duque, J. C., Passos, S., Cheng, T., Li, Y., & Keith, M. (2023). Evaluating the impact of water protection policy on urban growth: A case study of Jiaxing. Environment and Planning B: Urban Analytics and City Science (SSCI) https://doi.org/10.1177/23998083231163182
  2. Sun, X., Cheng, X., Guan, C., Wu, X., & Zhang, B. (2022). Economic drivers of global and regional CH4 emission growth from the consumption perspective. Energy Policy, 170, 113242. (SCIE) https://doi.org/10.1016/j.enpol.2022.113242
  3. Liu, J., Cheng, F., Commane, R., Zhu Y., Ji, W., Man, X.,  Guan, C., & J. Munger, W. (2023) Quantifying an Overlooked Deciduous-Needleleaf Carbon Sink at the Southern Margin of the Central-Siberian Permafrost Zone. Journal of Geophysical Research: Biogeosciences, e2022JG006845 (SCI) https://doi.org/10.1029/2022JG006845
  4. Wang, X., Tian. W., Guan, C., Wu, X., Sun, X., Zhang, B. (2022) Global temporal evolution of CH4 emissions via geo-economic integration. Journal of Environmental Management 305, 114377 (SCIE) https://doi.org/10.1016/j.jenvman.2021.114377

  5. Gao, J., Guan, C., Zhang, B. (2022) Why are methane emissions from China's oil & natural gas systems still unclear? A review of current bottom-up inventories. Science of the Total Environment 807(3), 151076. (SCIE) https://doi.org/10.1016/j.scitotenv.2021.151076

  6. Sun, X., Li, Z., Cheng, X., Guan, C., Han, M., Zhang, B. (2022) Global anthropogenic CH4 emissions from 1970 to 2018: Gravity movement and decoupling evolution. Resources, Conservation & Recycling 182, 106335. (SCIE) https://doi.org/10.1016/j.resconrec.2022.106335

  7. Liu, Y., Ma, R., Guan, C., Chen, B., Zhang, B. (2022) Global trade network and CH4 emission outsourcing. Science of the Total Environment 803, 150008. (SCIE) https://doi.org/10.1016/j.scitotenv.2021.150008

  8. Altinkaya-Genel O., Guan C.* (2021) Assessing urbanization dynamics in Turkey’s Marmara Region using CORINE data between 2006 and 2018. In a special issue - CORINE Land Cover System: Limits and Challenges for Territorial Studies and Planning. Remote Sensing. 13(4), 664 (SCIE) https://doi.org/10.3390/rs13040664

  9. Gómez, J., Guan, C.*, Tripathy, P., Duque, J., Passos, S., Keith, M., Liu, J. (2021) Analyzing the spatiotemporal uncertainty in urbanization predictions. Remote Sensing, 13(3), 512 (SCIE) https://doi.org/10.3390/rs13030512

  10. Ma, R., Li, K., Guo, Y., Zhang, B., Zhao, X., Linder, S, Guan, C., Chen, G., Gan, Y., Meng, J.  (2021) Mitigation potential of global ammonia emissions and related health impacts in the trade network. Nature Communications 12:6308. (SCIE) https://doi.org/10.1038/s41467-021-25854-3

  11. Gao, J., Guan, C., Zhang, B., Li, K. (2021) Decreasing methane emissions from China’s coal mining with rebounded coal production. Environmental Research Letters 16, 124037. (SCIE) https://doi.org/10.1088/1748-9326/ac38d8

  12. Zhang, Y., Guan, C., Chen, B., Zeng, L., Zhang, B. (2021) Tracking embodied water uses and GHG emissions along Chinese supply chains. Journal of Cleaner Production. (SCIE) https://doi.org/10.1016/j.jclepro.2020.125590

  13. Zhang, Y., Wu, X., Guan, C., Zhang, B. (2021) Methane emissions of major economies in 2014: A household-consumption-based perspective. Science of the Total Environment, 768, 144523. (SCIE) https://doi.org/10.1016/j.scitotenv.2020.144523

  14. Gao, J., Guan, C., Zhang, B. (2020) China’s CH4 emissions from coal mining: A review of current bottom-up inventories. Science of the Total Environment, 725. (SCIE) https://doi.org/10.1016/j.scitotenv.2020.138295

  15. Zhao, X., Wu, X., Guan, C., Ma, R., Nielsen, C., Zhang, B. (2020) Linking Agricultural GHG emissions to Global Trade Network. Earth’s Future, 8(3) e2019EF001361. (SCIE) https://doi.org/10.1029/2019EF001361

  16. Liu, Y., Wu, X., Sun, X., Guan, C., Zhang, B., Wu, X. (2020) Exports-driven primary energy requirements and the structural paths of Chinese regions. Frontiers of Earth Science. (SCIE) https://doi.org/10.1007/s11707-020-0822-4

  17. Zhang, B., Zhang, Y., Wu, X., Guan, C., Qiao, H. (2020) How the manufacturing economy impacts China's energy-related GHG emissions? Insights from structural path analysis. Science of the Total Environment, 743. (SCIE) https://doi.org/10.1016/j.scitotenv.2020.140769

  18. Han, M., Zhang, B., Zhang, Y., Guan, C*. (2019) Agricultural CH4 and N2O emissions of major economies: Consumption vs. production-based perspectives. Journal of Cleaner Production, 210, 276-286. (SCIE) https://doi.org/10.1016/j.jclepro.2018.11.018

  19. Wang, Y., Chen, B., Guan, C., Zhang, B. (2019) Evolution of methane emissions in global supply chains during 2000-2012. Resources, Conservation & Recycling, 150, 1-11, 104414. (SCIE) https://doi.org/10.1016/j.resconrec.2019.104414

  20. Guan S, Han M, Wu X, Guan, C., Zhang, B. (2019) Exploring energy-water-land nexus in national supply chains: China 2012. Energy, 185, 1225-1234. (SCIE) https://doi.org/10.1016/j.energy.2019.07.130

  21. Guan, C.*, Rowe, P. (2018). In pursuit of a well-balanced network of cities and towns: A case study of the Changjiang Delta Region. Environment and Planning B: Urban Analytics and City Science, 48 (3), 1-19. (SSCI) https://doi.org/10.1177/2399808317696073

  22. Zhang, B, Zhao, X, Wu, X, Han, M, Guan, C*., Song, S (2018) Consumption-based accounting of global anthropogenic CH4 emissions. Earth’s Future, 6 (9) 1349-1363. (SCIE) https://doi.org/10.1029/2018EF000917

  23. Ma, R., Chen, B., Guan, C., Meng, J., Zhang, B. (2018) Socioeconomic determinants of China’s growing CH4 emissions. Journal of Environmental Management, 228, 103-116. (SCIE) https://doi.org/10.1016/j.jenvman.2018.08.110

  24. Guo, J., Gao, J., Gao, S., Yan, K., Zhang, B., & Guan, C. (2024). Increasing impacts of China's oil and gas demands on global CH4 emissions. Science of The Total Environment (SCI) https://doi.org/10.1016/j.scitotenv.2023.169624

  25. Guan, C., Gómez, J. A., Tripathy, P., Duque, J. C., Passos, S., Cheng, T., Li, Y., & Keith, M. (2023). Evaluating the impact of water protection policy on urban growth: A case study of Jiaxing. Environment and Planning B: Urban Analytics and City Science (SSCI) https://doi.org/10.1177/23998083231163182

  26. Yang, Y., Cheng, D., Zhang, B., Guan, C., Cheng, X., & Cheng, T. (2023). Coal resource-based cities at the crossroads: Towards a sustainable urban future. Cities (SSCI) https://doi.org/10.1016/j.cities.2023.104424

  27. Guan, C., Tan, J., Li, Y., Cheng, T., Yang, J., Liu, C., & Keith, M. (2023). How do density, employment and transit affect the prevalence of COVID-19 pandemic? A study of 3,141 counties across the United States. Health & Place (SCI) https://doi.org/10.1016/j.healthplace.2023.103117

  28. Cheng Xuelei,Wu Xudong,Guan Chenghe,Sun Xudong & Zhang Bo.(2023).Impacts of production structure changes on global CH4 emissions: Evidences from income-based accounting and decomposition analysis. Ecological Economics (SCI) https://doi.org/10.1016/j.ecolecon.2023.107967

  29. Gao SiJia,Zhang GuoSheng,Guan ChengHe,Mao HaoRan,Zhang Bo & Liu He.(2024).The expansion of global LNG trade and its implications for CH emissions mitigation. Environmental Research Letters (SCI) https://doi.org/10.1088/1748-9326/ad0eff

  30. Liu, J., Cheng, F., Commane, R., Zhu Y., Ji, W., Man, X.,  Guan, C., & J. Munger, W. Quantifying an Overlooked Deciduous-Needleleaf Carbon Sink at the Southern Margin of the Central-Siberian Permafrost Zone. Journal of Geophysical Research: Biogeosciences, e2022JG006845 (SCI) https://doi.org/10.1029/2022JG006845

Green-Blue Space Planning Using AI And Urban Sensing Techniques

  1. Guan C H, Zhou Y (2024). Exploring environmental equity and visitation disparities in peri-urban parks: A mobile phone data-driven analysis in Tokyo[J]. Landscape and Urban Planning (SCI) https://doi.org/10.1016/j.landurbplan.2024.105104
  2. Ren, X., Guan, C.*. (2022) Evaluating geographic and social inequality of urban parks in Shanghai through mobile phone-derived human activities. In special issue - Inequalities of infrastructure in the context of healthy and resilient cities. Urban Forestry & Urban Greening 76, 127709. (SCI & SSCI) https://doi.org/10.1016/j.ufug.2022.127709

  3. Ren, X., Guan, C.*, Wang, D, Yang, J., Keith, M. (2022) Exploring land use functional variance using mobile phone derived human activity data in Shanghai. Environment and Planning B: Urban Analytics and City Science. (SSCI) https://doi.org/10.1177/23998083221103261

  4. You, M., Guan, C.*, Lai, R. (2022) Spatial structure of an urban park system based on fractal theory: A case study of Fuzhou, China. Remote Sensing 14, 2144 (SCIE) https://doi.org/10.3390/rs14092144

  5. Hong, A., Baker, L., Curiel, R., Duminy, J, Buswala, B., Guan, C., Ravindranath, D. (2022) Reconciling big data and thick data to advance the new urban science and smart city governance. Journal of Urban Affairs (SSCI) https://doi.org/10.1080/07352166.2021.2021085

  6. Guan, C., Song, J., Keith, M., Zhang, B., Akiyama Y., Da, L., Shibasaki R., Sato, T. (2021) Seasonal variations of park visitor volume and park service area in Tokyo: A mixed-method approach combining big data and field observations. Urban Forestry & Urban Greening, 58, 126973 (SCIE & SSCI) https://doi.org/10.1016/j.ufug.2020.126973

  7. Tan, J., Guan, C.* (2021) Are people happier in locations of high property value? Spatial temporal analytics of activity frequency, public sentiment and housing price using Twitter data. Applied Geography 132, 102474 (SSCI) https://doi.org/10.1016/j.apgeog.2021.102474

  8. Guan, C.*, Song, J., Keith, M., Akiyama Y., Shibasaki R., Sato, T. (2020) Delineating urban park catchment areas using mobile phone data: A case study of Tokyo. Computers, Environment and Urban Systems, 81, 101474. (SSCI) https://doi.org/10.1016/j.compenvurbsys.2020.101474

  9. Guan, C., & You, M. (2024). Integrating landscape and urban development in a comprehensive landscape sensitivity index: A case study of the Appalachian Trail Region. Urban Forestry & Urban Greening (SCI) https://doi.org/10.1016/j.ufug.2024.128234

  10. You, M., Huang, J., & Guan, C. (2023). Are New Towns Prone to Urban Heat Island Effect? Implications for Planning Form and Function. Sustainable Cities and Society (SCI) https://doi.org/10.1016/j.scs.2023.104939

  11. Huazhen Liu, Miao Yang, ChengHe Guan, Yi Samuel Chen, Michael Keith, Meizi You & Monica Menendez. (2023) Urban infrastructure design principles for connected and autonomous vehicles: a case study of Oxford, UK. Comput.Urban (SCI) https://doi.org/10.1007/s43762-023-00110-0