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      Urban Food Takeaway Vitality: A New Technique to Assess Urban Vitality

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          Abstract

          As one of the most important criteria for measuring the quality of urban life and the environment, urban vitality has become the focus of urban-related research and related disciplines with an increasing number of advocates for the rapid and harmonious development of urban cities. Urban takeaway can represent urban vitality, but studies have not investigated this in a quantitative manner. Furthermore, current studies rarely focus on or even mention the urban food takeaway vitality generated by the spatial distribution of urban takeaway. This study first calculated the vitality of urban takeaways based on the urban takeaway distribution, building footprint, Open Street Map (OSM) data, and the Rapidly Exploring Random Tree (RRT). Then, the urban vitality was obtained using Tencent-Yichuxing data and night-time light data, followed by a spatial correlation analysis between the urban takeaway vitality and urban vitality. Finally, the results for Beijing, Shanghai, and Guangzhou were compared, and the following conclusions were drawn: (1) there is a significant spatial correlation between the urban takeaway vitality and urban vitality, but the correlation varies in different cities at different times; and (2) even in the same city, different road and building densities have an impact on the correlation. The urban takeaway vitality proposed in this study can be used as a new index to evaluate the urban vitality, which has important theoretical and practical significance for the sustainable development of future urban cities.

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          Evaluation of NPP-VIIRS night-time light composite data for extracting built-up urban areas

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            Analyzing spatial relationships between urban land use intensity and urban vitality at street block level: A case study of five Chinese megacities

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              How block density and typology affect urban vitality: an exploratory analysis in Shenzhen, China

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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                30 March 2021
                April 2021
                : 18
                : 7
                : 3578
                Affiliations
                [1 ]College of Tourism, Xinjiang University, Urumqi 830049, China; zikeliya5@ 123456mail2.sysu.edu.cn
                [2 ]School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China; hexiong6@ 123456mail2.sysu.edu.cn (X.H.); liming57@ 123456mail2.sysu.edu.cn (M.L.)
                [3 ]Key Laboratory of the Sustainable Development of Xinjiang’s Historical and Cultural Tourism, Xinjiang University, Urumqi 830046, China
                Author notes
                Author information
                https://orcid.org/0000-0002-6848-8327
                https://orcid.org/0000-0001-5948-1054
                https://orcid.org/0000-0002-0621-3563
                Article
                ijerph-18-03578
                10.3390/ijerph18073578
                8036972
                33808267
                b6e39362-e56d-4f4f-9810-060b47b262c2
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 29 January 2021
                : 29 March 2021
                Categories
                Article

                Public health
                urban spatial structure,quantitative analysis,spatial correlation,catering industry,multi-source data

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