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Land-use cover\/change (LUCC), especially urban growth, as a major source of carbon emissions, has been extensively studied to support carbon-neutral planning. However, studies have typically used methods of small-scale urban growth simulation to model urban agglomeration growth to assist in carbon-neutral planning, ignoring the significant characteristics of the process to achieve carbon neutrality: large-scale and long-term. This paper proposes a framework to model large-scale and long-term urban growth, which couples a quantity module and a spatial module to model the quantity and spatial allocation of urban land, respectively. This framework integrates the inertia of historical land-use change, the driving effects of the urbanization law (S-curve), and the traction of the urban agglomeration network to model the long-term quantity change of urban land. Moreover, it couples a partitioned modeling framework, spatially heterogeneous rules derived by geographically weighted regression (GWR), and quantified land-use planning orientations to build a cellular automata (CA) model to accurately allocate the urbanized cells in a large-scale spatial domain. Taking the Guangdong\u2013Hong Kong\u2013Macao Greater Bay Area (GHMGBA) as an example, the proposed framework is calibrated by the urban growth from 2000 to 2010 and validated by that from 2010 to 2020. The figure of merit (FoM) of the results simulated by the framework is 0.2926, and the simulated results are also assessed by some evidence, which both confirm the good performance of the framework to model large-scale and long-term urban growth. Coupling with the coefficients proposed by the Intergovernmental Panel on Climate Change (IPCC), this framework is used to project the carbon emissions caused by urban growth in the GHMGBA from 2020 to 2050. The results indicate that Guangzhou, Foshan, Huizhou, and Jiangmen are under great pressure to achieve the carbon-neutral targets in the future, while Hong Kong, Macao, Shenzhen, and Zhuhai are relatively easy to bring up to the standard. This research contributes to the ability of land-use models to simulate large-scale and long-term urban growth to predict carbon emissions and to support the carbon-neutral planning of the GHMGBA.<\/jats:p>","DOI":"10.3390\/rs15020338","type":"journal-article","created":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T02:20:30Z","timestamp":1672971630000},"page":"338","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Early Warning of the Carbon-Neutral Pressure Caused by Urban Agglomeration Growth: Evidence from an Urban Network-Based Cellular Automata Model in the Greater Bay Area"],"prefix":"10.3390","volume":"15","author":[{"given":"Sanwei","family":"He","sequence":"first","affiliation":[{"name":"School of Public Administration, Zhongnan University of Economics and Law, Wuhan 430073, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3575-2371","authenticated-orcid":false,"given":"Shifa","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1461-660X","authenticated-orcid":false,"given":"Bin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Public Administration, China University of Geosciences, Wuhan 430074, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5691-6112","authenticated-orcid":false,"given":"Guangdong","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"}]},{"given":"Zhenjie","family":"Yang","sequence":"additional","affiliation":[{"name":"Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao 999078, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.jenvman.2004.03.014","article-title":"Downscaling Climate Change Scenarios in an Urban Land Use Change Model","volume":"72","author":"Solecki","year":"2004","journal-title":"J. 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