Do urban public service facilities match population demand? Assessment based on community life circle

Chang, Fei; Wang, Lucang; Ma, Yue; Yan, Cuixia; LIU, Haiyang

doi:10.18306/dlkxjz.2021.04.006

Cited by 10 publications

(10 citation statements)

References 2 publications

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“…The area within the fourth ring road has been highly urbanized, with relatively consistent development in each area and strong resource agglomeration (Zhan et al, 2020). In contrast, there is still a gap between the inner suburban area and the core area, as well as between various zones of the inner suburban area (Yang and Marmolejo Duarte, 2020;Zheng et al, 2019), which are prone to becoming areas of misdistribution of various facilities (Chang et al, 2021). The agglomeration featured by the configuration of urban public services induces a centripetal nature of the activity (Shi et al, 2020), becoming more pronounced in urban fringe areas.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

What causes the spatiotemporal disparities in greenway use intensity? evidence from the central urban area of Beijing, China

Qiu

Ning²,

Zhang³

2022

Front. Environ. Sci.

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The reasonable layout of green sports space has positive significance for promoting residents’ outdoor sports. Existing studies rarely use large-scale trajectory data to analyze urban greenway physical activity; they mostly use on-site research and questionnaires to conduct research. This study, using central Beijing as a case study, identified the spatiotemporal relationships of greenway use intensity with the social, economic, and built environment. A multiscale geographically weighted regression (MGWR) model was used to explore the temporal heterogeneity of the factors, compensating for the lack of cross-sectional data in existing studies. The results demonstrated significant differences in the spatiotemporal patterns among the core, central and inner suburban areas, and they revealed residents’ preferences in different periods. The MGWR model indicated that there were obvious scale differences and spatial heterogeneity in the greenway use intensity among social, economic, and built environment factors. Housing prices, residential density, historical resource density, and greening quality of greenways contributed to greenway use intensity, which was weak in the core area and strong in the inner suburban area. The reason for the difference in the temporal dimension was related to commuting and the separation of workplaces and residences. The layout of the greenway should be combined with rivers, historical resources, and green space to improve its attractiveness. This paper improved the spatial awareness of greenway use and facilitated the ability of urban planners to generate appropriate strategies to improve land use efficiency in different regions and promote green spatial justice to meet the needs of green, healthy cities.

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Section: Conclusion and Discussionmentioning

confidence: 99%

What causes the spatiotemporal disparities in greenway use intensity? evidence from the central urban area of Beijing, China

Qiu

Ning²,

Zhang³

2022

Front. Environ. Sci.

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“…Spatial accessibility is an effective tool for measuring equity in the spatial allocation of public service resources and has been widely used in the study of spatial patterns, accessibility, and fairness in the fields of urban green space, urban parks, health care resources, eldercare facilities, public service facilities, etc. [ [4] , [5] , [6] , [7] ]. In the field of green parks, as an important part of the urban built environment and ecosystem, it play a key role in improving urban air quality and promoting physical activity.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the spatial allocation of national fitness resources at the street scale—taking Fuzhou city as an example

Jiang,

Lu,

Wang

et al. 2024

Heliyon

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“…Lanzhou is located in the transition zone between the Qinghai-Tibet Plateau and the Loess Plateau, with an altitude of approximately 1520 m and covers an area of 13,100 km 2 . It serves as the political, cultural, economic, scientific, and educational center of Gansu, as well as an essential node city of the Silk Road Economic Belt and an significant industrial base and transportation hub in the northwest region of China.…”

Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The provision of service facilities, which are a critical component of urban social infrastructure supporting residents' daily life, encompasses various public goods and services such as educational, medical, transportation, recreational, and commercial facilities [1,2]. Optimizing their spatial distribution is essential for enhancing the quality of life and ensuring the equitable distribution of services [2][3][4][5]. However, spatial inequity in service provision has emerged in the past decades due to population growth and rapid urbanization [6][7][8], necessitating adjustments in service facilities' unbalanced structure.…”

Section: Introductionmentioning

confidence: 99%

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Measuring the Spatial Match between Service Facilities and Population Distribution: Case of Lanzhou

Chen

Zhang

Lang

et al. 2023

Land

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With rapid urbanization and population growth, achieving equitable distribution of urban facilities in the city center has become a critical research focus due to limited land space and high population density. In this study, we propose a technical method to measure the spatial matching between urban service facilities and population at the grid resolution scale, using Baidu heat map and POI data. The method includes spatial heterogeneity analysis and spatial matching analysis between population density and service facilities. We apply the method to the main urban area of Lanzhou, a valley-type city in the upper reaches of the Yellow River, and measure the spatial matching between service facilities and population aggregation. Our results reveal the distribution characteristics of various service facilities and population aggregation in different time slots, and demonstrate that transportation facilities have the highest spatial matching with population aggregation, followed by real estate and education services, with rental business services exhibiting the lowest. The proposed method offers a new perspective for urban planners and decision-makers to understand the matching state between residents’ activity patterns and service facilities. Our findings can provide theoretical support for urban planning and optimize the layout of service facilities and regional function allocation.

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Do urban public service facilities match population demand? Assessment based on community life circle

Cited by 10 publications

References 2 publications

What causes the spatiotemporal disparities in greenway use intensity? evidence from the central urban area of Beijing, China

What causes the spatiotemporal disparities in greenway use intensity? evidence from the central urban area of Beijing, China

Research on the spatial allocation of national fitness resources at the street scale—taking Fuzhou city as an example

Measuring the Spatial Match between Service Facilities and Population Distribution: Case of Lanzhou

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