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      Analysis and optimization of 15-minute community life circle based on supply and demand matching: A case study of Shanghai

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          Abstract

          The 15-minute community life circle (15min-CLC) strategy is one of Shanghai’s important methods for building a global city and facing a society with a more diverse population structure in the future. In the existing research, the balance between the construction of the life circle and the needs of the people in the life circle still needs to be further fulfilled. This paper is based on the city’s multi-source large data set including 2018 AutoNavi POI (Point of Interests), OSM (OpenStreetMap) road network data and LandScan population data set, and evaluates the current status of Shanghai’s 15min-CLC through the fusion of kernel density estimation, service area analysis and other statistical models and proposes relevant optimization suggestions. The results show that there are the following shortcomings: (1) From the perspective of different types of infrastructure service facilities, the spatial construction of Shanghai’s overall life service facilities and shopping service facilities needs to be optimized. (2) From the perspective of comprehensive evaluation, the comprehensive service convenience of infrastructure service facilities in the downtown area is relatively high, while the comprehensive service convenience of urban infrastructure service facilities in the suburbs and outer suburbs is relatively low; The diversity of basic service facilities in the 15min-CLC in the downtown area is more consistent with the population distribution; However, in the peripheral areas of the urban area, too many infrastructure service facilities have been constructed. Based on the above shortcomings and the perspective of supply and demand matching, relevant optimization strategies are proposed in different regions and different types of infrastructure service facilities: (1) focus on the construction of basic service facilities in the urban fringe and urban-rural areas, improve the full coverage of the basic service facilities, and appropriately reduce the number of basic service facilities in the downtown area. (2) The development of community business models can be used to promote the development of new life service facilities and shopping service facilities. (3) Improve community medical institutions through facility function conversion, merger and reconstruction, etc. (4) Optimize the hierarchical basic service facility system and improve the population supporting facilities of basic service facilities in the 15min-CLC. This paper incorporates people’s needs and concerns on the living environment into the 15min-CLC evaluation model, and uses Shanghai as an example to conduct research, summarizes the existing shortcomings, and proposes corresponding optimization strategies based on the matching of supply and demand. This article attempts to explore a replicable 15min-CLC planning model, so that it can be extended to the Yangtze River Delta urban agglomeration, to provide reference for further research on the 15min-CLC, and to promote urban construction under the concept of sustainable development.

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          Most cited references32

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          OpenStreetMap: User-Generated Street Maps

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            LandScan USA: a high-resolution geospatial and temporal modeling approach for population distribution and dynamics

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              Steps Forward: Review and Recommendations for Research on Walkability, Physical Activity and Cardiovascular Health.

              Built environments that support walking and other physical activities have the potential to reduce cardiovascular disease (CVD). Walkable neighborhoods-characterized by density, land use diversity, and well-connected transportation networks-have been linked to more walking, less obesity, and lower coronary heart disease risk. Yet ongoing research on pedestrian-friendly built environments has the potential to address important gaps. While much of the literature has focused on urban form and planning characteristics, additional aspects of street-scapes, such as natural and architectural amenities, should also be considered. Promising future directions include (1) integration of multiple built environment measures that facilitate an understanding of how individuals perceive and act within their environment; (2) examination of both the daily physical activities that are most feasibly influenced by the local environment and those more deliberate or vigorous patterns of physical activity that are most predictive of CVD; (3) consideration of multiple pathways that could mediate a link between walkability and CVD, including not only physical activity, but also air quality improvements from reduced vehicle mileage and enhanced neighborhood social cohesion from unplanned interactions; (4) testing competing hypotheses that may explain interactions of built environment characteristics with each other and with personal barriers to walking; (5) stronger conceptualization of the multiple neighborhoods or activity spaces that structure opportunities for physical activity throughout the day; (6) collecting and strategically analyzing longitudinal data to support causal inference; and (7) studying neighborhood preferences and selection to move beyond biased assessments of neighborhood health effects. While walkability has been linked to health-related behaviors and CVD risk factors, the implications of the observed correlations are not yet clear. New theoretical insights, measurement technologies, and built environment changes represent opportunities to enhance the evidence base for bringing health promotion and cardiovascular disease prevention into the conversation about how communities are planned and built.
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                Author and article information

                Contributors
                Role: Writing – original draft
                Role: Writing – review & editing
                Role: Writing – review & editing
                Role: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                31 August 2021
                2021
                : 16
                : 8
                : e0256904
                Affiliations
                [001] School of Environmental & Geographical Sciences, Shanghai Normal University, Shanghai, China
                Tongii University, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-1742-5844
                Article
                PONE-D-21-14500
                10.1371/journal.pone.0256904
                8407582
                34464423
                7c5ad30b-b747-4f74-a6df-f85a95c5a4be
                © 2021 Wu et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 6 May 2021
                : 17 August 2021
                Page count
                Figures: 7, Tables: 4, Pages: 21
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, national natural science foundation of china;
                Award ID: 41730642
                Award Recipient :
                This research was funded by the National Natural Science Foundation of China (No.41730642).
                Categories
                Research Article
                Engineering and Technology
                Civil Engineering
                Urban Infrastructure
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Engineering and Technology
                Civil Engineering
                Transportation Infrastructure
                Roads
                Engineering and Technology
                Transportation
                Transportation Infrastructure
                Roads
                Engineering and Technology
                Civil Engineering
                Transportation Infrastructure
                Engineering and Technology
                Transportation
                Transportation Infrastructure
                Medicine and Health Sciences
                Health Care
                Medical Services
                Social Sciences
                Economics
                Economic Models
                Supply and Demand
                Computer and Information Sciences
                Network Analysis
                Research and Analysis Methods
                Research Facilities
                Custom metadata
                The data underlying the results presented in the study are available from: 1. https://opendata.pku.edu.cn/ 2. https://landscan.ornl.gov/landscan-datasets 3. https://www.openstreetmap.org/#map=9/31.2762/121.4484.

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