Journal of Resources and Ecology >
Evaluation of Urban Space Livability in the Urban Area of Hefei based on Production-Living-Ecological Space
Received date: 2022-09-19
Accepted date: 2023-04-30
Online published: 2024-03-14
Supported by
The National Social Science Foundation of China(22BSH085)
Building livable urban space is an important component of urban construction. The evaluation of urban space livability is of great significance for urban sustainable development. The study measured the level of urban spatial livability in the urban area of Hefei from the spatial perspective of production-living-ecological space (PLES), using spatial analysis methods, to provide new ideas for the construction of livable urban spatial and to promote the coordination of urban spatial elements and spatial optimization. Firstly, this study constructed the evaluation model for urban spatial livability from three perspectives: Comfortable living, convenient production and ecological health. Secondly, using the evaluation model for urban spatial livability, the global spatial autocorrelation analysis method and the coupling coordination degree model, the single factor differentiation of urban space livable potential, comprehensive livable degree and the coupling degree of PLES in the urban area of Hefei were analyzed, respectively. Finally, this study discusses the coordination of PLES elements of the urban space in Hefei urban area, and puts forward spatial optimization strategies. The results show three important aspects of this system. (1) In terms of the single-factor livability of living, production and ecology, there are significant differences in the spatial distribution characteristics of the livability of the Hefei urban area. There is a spatial clustering of living comfort areas in the center, a spreading of production convenience areas from the center to the periphery, and a scattering of ecological health areas around the perimeter. (2) The overall livability of the urban space in Hefei is high. In terms of space, it shows the characteristics of high in the middle and low around the periphery, and the high-value area of livability is mainly concentrated in the urban center. (3) The coupling coordination degree of PLES in the urban area of Hefei is high in the city center and low around the city. The coupling coordination degree of life-production is the highest, which indicates that the spatial layout of these two elements has certain rationality and achieves benign coordination.
ZHANG Quan , NIE Huijuan , LI Xiaoying . Evaluation of Urban Space Livability in the Urban Area of Hefei based on Production-Living-Ecological Space[J]. Journal of Resources and Ecology, 2024 , 15(2) : 338 -350 . DOI: 10.5814/j.issn.1674-764x.2024.02.009
Fig. 1 Scope of the study area |
Table 1 Livability index of urban space |
Destination layer | Primary index | Secondary indicator | Index calculation method | Index meaning |
---|---|---|---|---|
Evaluation of urban space livability | Comfortable living | Urban building floor area ratio | Ratio of total building area to unit area in space unit | |
Infrastructure intensity | Ratio of the number of infrastructure components in the space unit to the area of the unit (pieces km-2) | |||
Public service intensity | Ratio of the number of public services in the space unit to the unit area (pieces km-2) | |||
Public transport convenience | Ratio of the number of public transport facilities in the space unit to the unit area (pieces km-2) | |||
Road accessibility | Ratio of road length to unit area in spatial unit (km km-2) | |||
Convenient production | Industrial agglomeration degree | Ratio of the number of all industries in the space unit to the unit area (pieces km-2) | ||
Industrial diversity | Shannon’s Diversity Index of industries in spatial unit | |||
Ecological health | Environmental comfort | Ratio of the total area of green space and water area to unit area in a space unit | ||
Green space proximity | The nearest distance between the research unit center and the nearby green space (m) | |||
Per capita green space rate | Ratio of green space area to population in a space unit (km2 person-1) |
Note: is urban building floor area ratio; is ratio of total building area; is unit area in space unit; is infrastructure intensity; is the number of infrastructure components; is public service intensity; is the number of public services; is public transport convenience; is the number of public transport facilities; is road accessibility; is ratio of road length; is industrial agglomeration; is the number of all industries; is industrial diversity, which is calculated as the Shannon’s Diversity Index; is environmental comfort; is green space proximity; is per capita green space rate; is green space area; is the number of the population of the study unit. |
, ,
Table 2 Coupling degree standards for the PLES in urban space |
Coupling degree interval | Coupling type |
---|---|
[0, 0.3] | Low coupling stage |
(0.3, 0.5] | Antagonistic stage |
(0.5, 0.8] | Running-in stage |
(0.8, 0.9] | Benign coupling stage |
(0.9, 1] | High-level coupling stage |
, ,
, ,
Table 3 Standards of the PLES coupling coordination degree in urban space |
Coupling coordination degree interval | Coupling coordination type |
---|---|
[0, 0.2] | Severe disorder stage |
(0.2, 0.4] | Moderate maladjustment stage |
(0.4, 0.5] | Basic coordination stage |
(0.5, 0.8] | Moderate coordination stage |
(0.8, 1] | High coordination stage |
Fig. 2 Comfortable living levels of Hefei urban area |
Fig. 3 Convenient production levels of Hefei urban area |
Fig. 4 Ecological health levels of Hefei urban areaNote: In the indicator of “per capita green space rate”, the data on green space area comes from the satellite data of the “Remote Sensing Data Sharing Platform”, and the green space area identified by the remote sensing satellite data includes parks, green belts, farmland, protective green spaces and other green spaces with natural environments. The population data comes from “Landscan Platform 2020 Population Distribution Data”. All the indicators in the paper are calculated using 1 km×1 km grid unit as the smallest study unit for statistical calculation. |
Fig. 5 Comprehensive livability level of Hefei urban area |
Fig. 6 Results of spatial autocorrelation analysis |
Table 4 Weights of the urban spatial livability index in Hefei urban area |
Primary index | Secondary indicator | Weight |
---|---|---|
Comfortable living | Urban building floor area ratio | 0.15 |
Infrastructure intensity | 0.22 | |
Public service intensity | 0.06 | |
Public transport convenience | 0.12 | |
Road accessibility | 0.05 | |
Convenient production | Industrial agglomeration degree | 0.16 |
Industrial diversity | 0.08 | |
Ecological health | Environmental comfort | 0.01 |
Green space proximity | 0.04 | |
Per capita green space rate | 0.11 |
Fig. 7 Coupling degree of PLES in Hefei urban area |
Fig. 8 Coupling coordination degree of PLES in Hefei urban area |
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[2] |
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[3] |
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[4] |
|
[5] |
|
[6] |
|
[7] |
|
[8] |
|
[9] |
|
[10] |
|
[11] |
|
[12] |
|
[13] |
|
[14] |
|
[15] |
|
[16] |
|
[17] |
|
[18] |
|
[19] |
|
[20] |
|
[21] |
|
[22] |
|
[23] |
|
[24] |
|
[25] |
|
[26] |
|
[27] |
|
[28] |
|
[29] |
|
[30] |
|
[31] |
|
[32] |
|
[33] |
|
[34] |
|
[35] |
|
[36] |
|
[37] |
|
[38] |
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[39] |
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[40] |
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[41] |
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[42] |
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[43] |
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[44] |
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