{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:52:10Z","timestamp":1753887130293,"version":"3.41.2"},"reference-count":27,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,8,30]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>With the advancement of the concept of smart cities, research on urban and rural planning is also developing rapidly. How to make the spatial relationship description model in the context of smart cities more in line with the actual situation of urban development is still a problem to be solved. This article focuses on the spatial relationship description model and algorithm of urban and rural planning results in the context of smart cities, studies the impact of urban industrial structure under the action of the spatial relationship description model, and evaluates the impact of policy as well as the impact of smart city construction on urban green innovation efficiency. Its dynamic effects and urban heterogeneity are expanded and analyzed. The research results show that compared with the traditional ordinary least squares (OLS) technology, geographically weighted regression (GWR) has significantly improved the solution results of the model, the <jats:italic>R<\/jats:italic> value is reduced by 0.3\u20130.4, the residual sum of squares value is significantly reduced, and the Akaike information criterion value is significantly improved. For the same training samples and test data, compared with the OLS technology, the mean-squared error reduction rate of the prediction results obtained by the GWR technology basically reached more than 50%, especially in Experiment 4; it reached 57.9%, which shows a very obvious advantage in prediction accuracy. Smart city policies have a significant role in promoting green innovation efficiency in pilot areas, and over time, innovation efficiency has increased year by year, and the policy effects are particularly prominent in the eastern coastal areas with a good development foundation. Therefore, the construction of smart cities is based on the characteristics of the region, and it is necessary to seek a sustainable development path based on the conditions of the region.<\/jats:p>","DOI":"10.1515\/comp-2024-0002","type":"journal-article","created":{"date-parts":[[2024,8,30]],"date-time":"2024-08-30T07:18:51Z","timestamp":1725002331000},"source":"Crossref","is-referenced-by-count":0,"title":["Spatial relationship description model and algorithm of urban and rural planning in the smart city"],"prefix":"10.1515","volume":"14","author":[{"given":"You","family":"Xu","sequence":"first","affiliation":[{"name":"School of Arts, University of Sanya , Sanya 572022, Hainan , China"}]},{"given":"Juan","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Sociology, University of Sanya , Sanya 572022, Hainan , China"}]},{"given":"Man","family":"Li","sequence":"additional","affiliation":[{"name":"School of Sociology, University of Sanya , Sanya 572022, Hainan , China"}]}],"member":"374","published-online":{"date-parts":[[2024,8,30]]},"reference":[{"key":"2024083007184695196_j_comp-2024-0002_ref_001","doi-asserted-by":"crossref","unstructured":"Y. Perez-Gallardo and G. Crespo, \u201cMESSRS: A model-based 3D system for of recognition, semantic annotation and calculating the spatial relationships of a factory\u2019s digital facilities,\u201d Comput. Biodiversity Ind., vol. 82, no. 5, pp. 40\u201356, 2016.","DOI":"10.1016\/j.compind.2016.04.005"},{"key":"2024083007184695196_j_comp-2024-0002_ref_002","doi-asserted-by":"crossref","unstructured":"P. Y. Chen, C. P. Tung, W. C. Lin, and Y. H. Li, \u201cSpatial optimization procedure for land-use arrangement in a community based on a human comfort perspective,\u201d Paddy Water Environ., vol. 14, no. 1, pp. 71\u201383, 2016.","DOI":"10.1007\/s10333-015-0479-x"},{"key":"2024083007184695196_j_comp-2024-0002_ref_003","doi-asserted-by":"crossref","unstructured":"S. C. Hong, \u201cSite-specific temporal and spatial validation of a generic plant pest forecast system with observations of Bactrocera dorsalis (oriental fruit fly),\u201d Neobiota, vol. 27, no. 8, pp. 37\u201367, 2018.","DOI":"10.3897\/neobiota.27.5177"},{"key":"2024083007184695196_j_comp-2024-0002_ref_004","doi-asserted-by":"crossref","unstructured":"M. Menon and R. Mohanraj, \u201cTemporal and spatial assemblages of invasive birds occupying the urban landscape and its gradient in a southern city of India,\u201d J. Asia Pac. Biodiversity, vol. 9, no. 1, pp. 74\u201384, 2016.","DOI":"10.1016\/j.japb.2015.12.005"},{"key":"2024083007184695196_j_comp-2024-0002_ref_005","doi-asserted-by":"crossref","unstructured":"X. Zhang, X. Wang, K. Nie, M. Li, and Q. Sun, \u201cSimulation of Bacillus subtilis biofilm growth on agar plate by diffusion\u2013reaction based continuum model,\u201d Phys. Biol., vol. 13, no. 4, pp. 46\u201349, 2016.","DOI":"10.1088\/1478-3975\/13\/4\/046002"},{"key":"2024083007184695196_j_comp-2024-0002_ref_006","doi-asserted-by":"crossref","unstructured":"T. Wang, T. Tang, Y. He, and H. Yi, \u201cAnalysis of particle behaviors using a region-dependent method in a jetting fluidized bed,\u201d Chem. Eng. J., vol. 283, no. 6, pp. 127\u2013140, 2016.","DOI":"10.1016\/j.cej.2015.07.038"},{"key":"2024083007184695196_j_comp-2024-0002_ref_007","doi-asserted-by":"crossref","unstructured":"G. Guastella and F. Timpano, \u201cKnowledge, innovation, agglomeration and regional convergence in the EU: motivating place-based regional intervention,\u201d Rev. Reg. Res., vol. 36, no. 2, pp. 1\u201323, 2016.","DOI":"10.1007\/s10037-015-0104-x"},{"key":"2024083007184695196_j_comp-2024-0002_ref_008","doi-asserted-by":"crossref","unstructured":"S. R. Das, S. Sadeque, C. Jeong, R. Chen, M. A. Alam, and D. B. Janes, \u201cCopercolating networks: an approach for realizing high-performance transparent conductors using multicomponent nanostructured networks,\u201d Nanophotonics, vol. 5, no. 1, pp. 180\u2013195, 2016.","DOI":"10.1515\/nanoph-2016-0036"},{"key":"2024083007184695196_j_comp-2024-0002_ref_009","doi-asserted-by":"crossref","unstructured":"H. Laura, \u201cGravity index algorithm of industrial spatial agglomeration center based on distributed collaboration,\u201d Distrib. Process. Syst., vol. 2, no. 1, pp. 24\u201341, 2021, 10.38007\/DPS. 2021.020103.","DOI":"10.38007\/DPS.2021.020103"},{"key":"2024083007184695196_j_comp-2024-0002_ref_010","doi-asserted-by":"crossref","unstructured":"B. Andrey, C. Sen, and Y. A. Dabaghian, \u201cTopological schemas of cognitive maps and spatial learning,\u201d Front. Comput. Neurosci., vol. 10, no. 161, pp. 1\u20138, 2016.","DOI":"10.3389\/fncom.2016.00018"},{"key":"2024083007184695196_j_comp-2024-0002_ref_011","doi-asserted-by":"crossref","unstructured":"C. D. Cwalina and N. J. Wagner, \u201cRheology of non-Brownian particles suspended in concentrated colloidal dispersions at low particle Reynolds number,\u201d J. Rheol, vol. 60, no. 1, pp. 47\u201359, 2016.","DOI":"10.1122\/1.4935445"},{"key":"2024083007184695196_j_comp-2024-0002_ref_012","doi-asserted-by":"crossref","unstructured":"D. Ntwali, E. Mugisha, F. Vuguziga, and D. Kakpa, \u201cLiquid and ice water content in clouds and their variability with temperature in Africa based on ERA-Interim, JRA-55, MERRA and ISCCP,\u201d Meteorol. & Atmos. Phys., vol. 129, no. 1, pp. 1\u201318, 2016.","DOI":"10.1007\/s00703-016-0447-z"},{"key":"2024083007184695196_j_comp-2024-0002_ref_013","doi-asserted-by":"crossref","unstructured":"C. J. Hogan and O. 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Rindorf, J. Gao, D. H. Hanselman, and H. Winker, \u201cDensity-dependent changes in effective area occupied for sea-bottom-associated marine fishes,\u201d Proc. Biol., vol. 283, no. 1840, pp. 11\u201318, 2016.","DOI":"10.1098\/rspb.2016.1853"},{"key":"2024083007184695196_j_comp-2024-0002_ref_017","unstructured":"P. Duan, G. Liu, Y. Gong, X. Hao, and N. Wang, \u201cThe functional gradient description method of space coordinate transformation,\u201d J. Geodesy Geoinf. Sci., vol. 2, no. 1, pp. 68\u201373, 2019."},{"key":"2024083007184695196_j_comp-2024-0002_ref_018","doi-asserted-by":"crossref","unstructured":"A. N. Morozovska, E. A. Eliseev, D. Chen, C. T. Nelson, and S. V. Kalinin, \u201cBuilding free energy functional from atomically-resolved imaging: atomic scale phenomena in La-doped BiFeO3,\u201d Phys. Rev. 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Evans, and S. C. Sherwood, \u201cZonal winds and southeast Australian rainfall in global and regional climate models,\u201d Clim. Dyn., vol. 46, no. 2, pp. 123\u2013133, 2016.","DOI":"10.1007\/s00382-015-2573-6"},{"key":"2024083007184695196_j_comp-2024-0002_ref_027","doi-asserted-by":"crossref","unstructured":"J. Sheng, T. Huang, Z. Ye, B. Hu, Y. Liu, and Q. Fan, \u201cEvaluation of van Genuchten-Mualem model on the relative permeability for unsaturated flow in aperture-based fractures,\u201d J. 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