Towards Digitalized Urban Planning and Design of Low-Carbon Cities: Evolution and Application Review of Assessment Tools

Meng XU, Yue ZHONG, Yu YE

Landsc. Archit. Front. ›› 2024, Vol. 12 ›› Issue (2) : 9-21.

PDF(1030 KB)
PDF(1030 KB)
Landsc. Archit. Front. ›› 2024, Vol. 12 ›› Issue (2) : 9-21. DOI: 10.15302/J-LAF-1-020096
PAPERS

Towards Digitalized Urban Planning and Design of Low-Carbon Cities: Evolution and Application Review of Assessment Tools

Author information +
History +

Abstract

Facing the challenges of global climate change, the construction of low-carbon cities has become an inevitable pathway, where carbon emission assessment is a critical part to the transition towards digitalized urban planning and design of low-carbon cities. However, comprehensive review on carbon assessment tools applied to urban planning and design is absent. As a response, this paper selected and reviewed typical digital assessment tools of carbon emissions at both the city and district/neighborhood scales, and summarized their measuring dimensions and reference data. Currently, tools based on energy system planning and operational energy simulation dominate the field, while tools for carbon emission and carbon sink estimations based on land use types or materials are rapidly developing due to the increasing refinement of carbon emission assessments and shifts of decarbonization policies. At present, these tools are primarily used in energy planning and design, governmental decision-making, and building structural design and material choice, and their application in urban planning and design practice, especially in the early stages, remains limited. Hence, this study further underscored the limitations and potential development directions of existing carbon emission assessment tools by case studying low-carbon practices worldwide that have not utilized digital assessment tools—in the future, improving tools' flexibility and adaptability for diverse scenarios, building comprehensive databases, incorporating the calculation of operational carbon, embedded carbon, and carbon sinks, and aligning with the needs for multi-dimensional, multi-criteria, and full-process assessments should be put into more efforts.

● Summarizes five categories of carbon emission assessment tools at both city and district/neighborhood scales

● Summarizes the application scenarios, advantages and disadvantages, measuring dimensions, and reference data of the tools

● Points out the limitations of the tools and proposes the future development trend towards multi-disciplinary, multi-criteria, full-process, and intelligent estimations

Graphical abstract

Keywords

Low Carbon Cities / Carbon Emission / Carbon Emission Assessment Tools / Urban Planning and Design / Digitalization / Carbon Sink

Cite this article

Download citation ▾
Meng XU, Yue ZHONG, Yu YE. Towards Digitalized Urban Planning and Design of Low-Carbon Cities: Evolution and Application Review of Assessment Tools. Landsc. Archit. Front., 2024, 12(2): 9‒21 https://doi.org/10.15302/J-LAF-1-020096

References

[1]
Wang, Y. , Bian, T. , & Huang, X. (2021) Research on time–space differences in the prediction of carbon peaking of China's comprehensive economic zones. Landscape Architecture Frontiers, 9 (6), 24– 43.
CrossRef Google scholar
[2]
Hewlett, M. (2014) Eco-low carbon urban planning methodology. Landscape Architecture Frontiers, 2 (3), 70– 75.
[3]
Intergovernmental Panel on Climate Change (IPCC). (2022). Summary for Policymakers. Climate Change 2022: Mitigation of Climate Change. Working Group III Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 1–48). Cambridge University Press.
[4]
Intergovernmental Panel on Climate Change (IPCC). (2023). 2023: Sections. Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 35–115). IPCC.
[5]
Yang, L. , & Li, Y. (2013) Low-carbon city in China. Sustainable Cities and Society, (9), 62– 66.
[6]
Jiang, W. , & Kang, W. (2019) A review on the low-carbon city study: Development and trends. Chinese Journal of Urban and Environmental Studies, 7 (2), 1950006.
CrossRef Google scholar
[7]
Mauree, D. , Naboni, E. , Coccolo, S. , Perera, A. T. D. , Nik, V. M. , & Scartezzini, J.-L. (2019) A review of assessment methods for the urban environment and its energy sustainability to guarantee climate adaptation of future cities. Renewable and Sustainable Energy Reviews, (112), 733– 746.
[8]
Wang, S. , Gao, S. , Huang, Y. , & Shi, C. (2020) Spatiotemporal evolution of urban carbon emission performance in China and prediction of future trends. Journal of Geographical Sciences, 30 (5), 757– 774.
CrossRef Google scholar
[9]
Lai, S. , Lu, J. , Luo, X. , & Ge, J. (2022) Carbon emission evaluation model and carbon reduction strategies for newly urbanized areas. Sustainable Production and Consumption, (31), 13– 25.
[10]
Huang, Z. , Yu, H. , Peng, Z. , & Zhao, M. (2015) Methods and tools for community energy planning: A review. Renewable and Sustainable Energy Reviews, (42), 1335– 1348.
[11]
Markovic, D. , Cvetkovic, D. , & Masic, B. (2011) Survey of software tools for energy efficiency in a community. Renewable and Sustainable Energy Reviews, 15 (9), 4897– 4903.
CrossRef Google scholar
[12]
Torabi Moghadam, S. , Delmastro, C. , Corgnati, S. P. , & Lombardi, P. (2017) Urban energy planning procedure for sustainable development in the built environment: A review of available spatial approaches. Journal of Cleaner Production, (165), 811– 827.
[13]
Ng, S. T. , Chen, Y. , & Wong, J. M. W. (2013) Variability of building environmental assessment tools on evaluating carbon emissions. Environmental Impact Assessment Review, (38), 131– 141.
[14]
Fenner, A. E. , Kibert, C. J. , Woo, J. , Morque, S. , Razkenari, M. , Hakim, H. , & Lu, X. (2018) The carbon footprint of buildings: A review of methodologies and applications. Renewable and Sustainable Energy Reviews, (94), 1142– 1152.
[15]
Li, L. (2021) Integrating climate change impact in new building design process: A review of building life cycle carbon emission assessment methodologies. Cleaner Engineering and Technology, (5), 100286.
[16]
Chau, C. K. , Leung, T. M. , & Ng, W. Y. (2015) A review on Life Cycle Assessment, Life Cycle Energy Assessment and Life Cycle Carbon Emissions Assessment on buildings. Applied Energy, (143), 395– 413.
[17]
Albuquerque, F. D. B. , Maraqa, M. A. , Chowdhury, R. , Mauga, T. , & Alzard, M. (2020) Greenhouse gas emissions associated with road transport projects: Current status, benchmarking, and assessment tools. Transportation Research Procedia, (48), 2018– 2030.
[18]
Gao, H. , Wang, X. , Wu, K. , Zheng, Y. , Wang, Q. , Shi, W. , & He, M. (2023) A review of building carbon emission accounting and prediction models. Buildings, 13 (7), 1617– .
CrossRef Google scholar
[19]
Udara Willhelm Abeydeera, L. H. , Wadu Mesthrige, J. , & Samarasinghalage, T. I. (2019) Global research on carbon emissions: A scientometric review. Sustainability, 11 (14), 3972– .
CrossRef Google scholar
[20]
O'Regan, A. C. , & Nyhan, M. M. (2023) Towards sustainable and net-zero cities: A review of environmental modelling and monitoring tools for optimizing emissions reduction strategies for improved air quality in urban areas. Environmental Research, (231), 116242.
[21]
Chan, E., Conejos, S., & Wang, M. (2017). Low Carbon Urban Design: Potentials and Opportunities (pp. 75–88). In: S. Dhakal & M. Ruth (Eds.), Creating Low Carbon Cities. Springer.
[22]
Arup. (2022). Reduce, restore, remove: A call to action.
[23]
Chen, L. , Msigwa, G. , Yang, M. , Osman, A. I. , Fawzy, S. , Rooney, D. W. , & Yap, P.-S. (2022) Strategies to achieve a carbon neutral society: A review. Environmental Chemistry Letters, 20 (4), 2277– 2310.
CrossRef Google scholar
[24]
Gao, S. , & Zhang, H. (2020) Urban planning for low-carbon sustainable development. Sustainable Computing: Informatics and Systems, (28), 100398– .
[25]
Fonseca, J. A. , & Schlueter, A. (2015) Integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts. Applied Energy, (142), 247– 265.
[26]
Wang, D. , Landolt, J. , Mavromatidis, G. , Orehounig, K. , & Carmeliet, J. (2018) CESAR: A bottom-up building stock modelling tool for Switzerland to address sustainable energy transformation strategies. Energy & Buildings, (169), 9– 26.
[27]
Han, Y. , Zhang, S. , & Yin, L. (2019) Quantifying the carbon storage capacity and its spatial distribution patterns of green spaces in a metropolitan area: A case study of Seoul, South Korea. Landscape Architecture Frontiers, 7 (2), 55– 65.
CrossRef Google scholar
[28]
Henning Larsen. (2023, April 20). Urban Decarb: New Digital Tool Brings Carbon into Focus on the Urban Scale.
[29]
Sasaki. (2021). Introducing the carbon conscience App.
[30]
The World Bank. (2016, September 22). The CURB tool: Climate action for urban sustainability.
[31]
Carbonneutralfinland. (2023). Municipalities' greenhouse gas emission scenario tool has been updated – agricultural actions included.
[32]
Stockholm Environment Institute. (2022). LEAP: The Low Emissions Analysis Platform [Software version: 2020.1.107]. Somerville, MA, USA.
[33]
Natanian, J. , & Auer, T. (2020) Beyond nearly zero energy urban design: A holistic microclimatic energy and environmental quality evaluation workflow. Sustainable Cities and Society, (56), 102094.
[34]
Chair of Architecture and Building Systems, ETH Zurich. (n. d.). City Energy Analyst (CEA).
[35]
Mutani, G., Coccolo, S., Kaempf, J., & Bilardo, M. (2018). CitySim Guide: Urban Energy Modelling by Mutani, Guglielmina. Createspace Independent Publishing Platform.
[36]
One-Click LCA. (2023). One-Click LCA for construction and manufacturing.
[37]
Yu, D. , Zhou, X. , Qi, H. , & Qian, F. (2023) Low-carbon city planning based on collaborative analysis of supply and demand scenarios. City and Built Environment, 1 (1), 7– .
CrossRef Google scholar
[38]
Lu, L. , Tian, Y. , Zhang, L. , & Liu, Y. (2011) Study on low-carbon assessment indicator system of urban planning of Tianjin. City Planning Review, 35 (S1), 26– 31.
[39]
Lin, C. , Zhu, W. , Zhang, Y. , & Wu, C. (2022) Methods and practice of territorial spatial planning toward the goal of "peak carbon emissions and carbon neutrality": The case study of Tianjin. Urban Planning Forum, (S2), 229– 234.
[40]
Ministry of Energy, Green Technology and Water (KeTTHA), & GreenTech Malaysia. (2017). Low Carbon Cities Framework (Version 2).
[41]
Wu, Z. , Zhao, Z. , Gan, W. , Zhou, S. , Dong, W. , & Wang, M. (2023) Achieving carbon neutrality through urban planning and design. International Journal of Environmental Research and Public Health, 20 (3), 2420– .
CrossRef Google scholar
[42]
An, Q. , Sheng, S. , Zhang, H. , Xiao, H. , & Dong, J. (2019) Research on the construction of carbon emission evaluation system of low-carbon-oriented urban planning scheme: Taking the West New District of Jinan City as example. Geology, Ecology, and Landscapes, 3 (3), 187– 196.
CrossRef Google scholar
[43]
Yu, X. , He, J. , Zhu, D. , & Wang, D. (2022) Path and practice of low-carbon urban renewal: A case study of seven communities in Shanghai. Urban Planning Forum, (4), 111– 119.
[44]
Wu, H. , Lin, C. , Chen, Y. , & Weng, T. (2022) Technical framework and implementation strategy for carbon reduction in urban districts based on whole process management and control: The case of Shanghai Jianghai Digital Industrial Park. Urban Planning Forum, (S2), 59– 65.
[45]
Yao, Y. , Sun, Z. , Li, L. , Cheng, T. , Chen, D. , Zhou, G. , Liu, C. , Kou, S. , Chen, Z. , & Guan, Q. (2023) CarbonVCA: A cadastral parcel-scale carbon emission forecasting framework for peak carbon emissions. Cities, (138), 104354– .
[46]
EnergyPLAN. (2022). EnergyPLAN—Advanced analysis of smart energy systems.
[47]
C40 Cities Climate Leadership Group. (2020). Vertically-integrated climate action tools.
[48]
Zhou, Y. , Chen, M. , Tang, Z. , & Mei, Z. (2021) Urbanization, land use change, and carbon emissions: Quantitative assessments for city-level carbon emissions in Beijing–Tianjin–Hebei region. Sustainable Cities and Society, (66), 102701– .
[49]
Autodesk. (2024). Autodesk Forma: Cloud-based software for early-stage planning and design.
[50]
Nault, E. , Waibel, C. , Carmeliet, J. , & Andersen, M. (2018) Development and test application of the UrbanSOLve decision-support prototype for early-stage neighborhood design. Building and Environment, (137), 58– 72.
[51]
Building Transparency. (2023). Tally.
[52]
Climate Positive Design. (n. d.). Measure + improve our carbon impact.

Acknowledgements

· An Intelligent Evaluation Model for Measuring Quality of Place With the Combined Application of Multi-sourced Urban Data and Deep Learning Algorithms", National Natural Science Foundation of China (No. 52078343) · "2022 Industry-University Cooperation Collaborative Education Project", Ministry of Education and Shanghai Tongji Urban Planning and Design Institute Co., Ltd. (No. 220900155145615) · Independent Research Project of "Key Laboratory of Ecology and Energy-saving Study of Dense Habitat (Tongji University)", Ministry of Education and Shanghai Tongji Urban Planning and Design Institute Co., Ltd. (No. KY-2022-LH-A02)

RIGHTS & PERMISSIONS

© Higher Education Press 2024
AI Summary AI Mindmap
PDF(1030 KB)

Accesses

Citations

Detail

Sections
Recommended

/