Gated Neighborhoods, Privatized Amenities and Fragmented Society: Evidence from Residential Experience and Implications for Urban Planning
Abstract
:1. Introduction
2. Literature Review
2.1. Urban Transformation in China: Marketized Housing and Fragmented Space
2.2. The Changing Provision for Neighborhood Amenities
2.3. The Restricted Planning System
3. Assessing Neighborhood Environment
3.1. Subjective Assessment and Residential Satisfaction
3.2. Assessing Neighborhood Amenities
4. Research Methods
4.1. Case Study in Gated Neighborhoods in Shenzhen
4.2. Survey Design
5. Results
5.1. Overview of the Results
5.2. Linkages between Social Outcome and Spatial Inputs
6. Discussions and Conclusions
6.1. Public–Private Boundaries in the Provision of Neighborhood Amenities
6.2. Conflicts Inside the Urban Planning System
6.3. Concluding Comments
7. Research Limitations
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Group | Site Scale (ha) | Density (Plot Ratio) | Proportion in the City |
---|---|---|---|
LSMD (large-scale medium-density) | >5 | 1.9–3.5 | 4.79% |
MSMD (medium-scale medium-density) | 1–5 | 1.9–3.5 | 39.65% |
MSLD (medium-scale low-density) | 1–5 | <1.9 | 10.35% |
MSHD (medium-scale high-density) | 1–5 | >3.5 | 8.29% |
HHSD (small-scale high-density) | <1 | >3.5 | 10.78% |
Type of Amenities | Abbr. | |
---|---|---|
1 | satisfaction with educational facilities | (SF_ED) |
2 | satisfaction with healthy facilities | (SF_HE) |
3 | satisfaction with commercial facilities | (SF_CM) |
4 | satisfaction with welfare facilities | (SF_WE) |
5 | satisfaction with cultural facilities | (SF_CL) |
6 | satisfaction with sports facilities | (SF_SP) |
7 | satisfaction with public space | (SF_PS) |
8 | satisfaction with green space | (SF_GS) |
9 | satisfaction with parking spaces | (SF_PK) |
Demographic Variable | Category | N | Percent |
---|---|---|---|
Gender | Male | 108 | 47.8 |
Female | 118 | 52.2 | |
Age | 18–25 | 4 | 1.8 |
26–35 | 46 | 20.4 | |
36–45 | 91 | 40.3 | |
46–55 | 37 | 16.4 | |
56 or above | 48 | 21.2 | |
Household Member(s) | 1 | 9 | 4 |
2 | 31 | 13.7 | |
3 | 95 | 42 | |
4 | 40 | 17.7 | |
5 | 44 | 19.5 | |
>5 | 7 | 3.1 | |
Education | Primary school or less | 1 | 0.4 |
Middle School | 13 | 5.8 | |
High school | 50 | 22.1 | |
College | 65 | 28.8 | |
University | 76 | 33.6 | |
Master or above | 21 | 9.3 | |
Individual monthly income (Currency CNY) | Low (below 3000) | 39 | 17.3 |
Medium-low (3000–5999) | 67 | 29.6 | |
Medium (6000–9999) | 37 | 16.4 | |
Medium-high (10,000–14,999) | 42 | 18.6 | |
High (15,000–19,999) | 26 | 11.5 | |
Elite (20,000 or above) | 15 | 6.6 |
SF_ED | SF_HE | SF_CM | SF_WE | SF_CL | SF_SP | SF_PS | SF_GS | SF_PK | |
---|---|---|---|---|---|---|---|---|---|
Mean | 4.01 | 3.66 | 4.07 | 2.85 | 3.4 | 3.08 | 3.32 | 3.46 | 2.56 |
Std. Deviation | 0.808 | 0.905 | 0.899 | 1.032 | 1.003 | 1.221 | 1.183 | 1.144 | 1.142 |
SF_ED | SF_HE | SF_CM | SF_WE | SF_CL | SF_SP | SF_PS | SF_GS | SF_PK | |
---|---|---|---|---|---|---|---|---|---|
Mean Block 1 | 4.02 | 3.66 | 4.06 | 2.81 | 3.46 | 3.04 | 3.19 | 3.36 | 2.53 |
Mean Block 2 | 4 | 3.66 | 4.07 | 2.9 | 3.3 | 3.16 | 3.54 | 3.64 | 2.61 |
t | −0.188 | −0.013 | 0.075 | 0.648 | −1.159 | 0.680 | 2.261 | 1.750 | 0.526 |
Sig. (2-tailed) | 0.851 | 0.989 | 0.940 | 0.517 | 0.248 | 0.497 | 0.025 | 0.081 | 0.600 |
Neighbourhood Pattern | SF_ED | SF_HE | SF_CM | SF_WE | SF_CL | SF_SP | SF_PS | SF_GS | SF_PK |
---|---|---|---|---|---|---|---|---|---|
LSMD | 3.9 | 3.73 | 4.11 | 3.06 | 3.59 | 3.51 | 4.05 | 4.04 | 2.7 |
MSHD | 4.04 | 3.71 | 4.02 | 2.67 | 3.23 | 2.79 | 3.15 | 3.15 | 2.98 |
MSMD | 4.22 | 3.69 | 4.06 | 3.08 | 3.5 | 3.25 | 3.75 | 3.89 | 2.61 |
MSLD | 4.07 | 3.63 | 4.2 | 2.73 | 3.37 | 2.7 | 2.27 | 2.73 | 2.2 |
SSHD | 3.97 | 3.44 | 3.91 | 2.41 | 3.13 | 2.63 | 2.25 | 2.72 | 1.88 |
Std. Deviation | 0.808 | 0.905 | 0.899 | 1.032 | 1.003 | 1.221 | 1.183 | 1.144 | 1.142 |
Sig. of ANOVA * | 0.373 | 0.638 | 0.736 | 0.010 | 0.136 | 0.000 | 0.000 | 0.000 | 0.000 |
Spearman’s | SP_ED | SP_HE | SP_CM | SP_WE | SP_CL | SP_SP | SP_PS | SP_GS | SP-PK | |
---|---|---|---|---|---|---|---|---|---|---|
Age | Correlation Coefficient | −0.008 | 0.038 | −0.024 | 0.007 | 0.031 | −0.008 | −0.100 | −0.091 | 0.126 |
Sig. (2-tailed) | 0.907 | 0.571 | 0.719 | 0.913 | 0.642 | 0.903 | 0.133 | 0.174 | 0.059 | |
Household Member | Correlation Coefficient | −0.071 | 0.096 | 0.030 | 0.137 * | 0.028 | 0.046 | 0.001 | 0.040 | 0.154 * |
Sig. (2-tailed) | 0.285 | 0.148 | 0.650 | 0.040 | 0.676 | 0.491 | 0.985 | 0.548 | 0.021 | |
Income | Correlation Coefficient | −0.011 | 0.092 | 0.074 | 0.081 | 0.000 | 0.083 | 0.077 | −0.039 | −0.085 |
Sig. (2-tailed) | 0.875 | 0.170 | 0.270 | 0.227 | 0.999 | 0.213 | 0.248 | 0.558 | 0.202 | |
Length of Residence | Correlation Coefficient | 0.091 | −0.021 | 0.007 | −0.102 | 0.043 | −0.084 | −0.190 ** | −0.185 ** | −0.097 |
Sig. (2-tailed) | 0.178 | 0.759 | 0.916 | 0.130 | 0.522 | 0.215 | 0.005 | 0.006 | 0.153 | |
Education Background | Correlation Coefficient | 0.008 | −0.001 | 0.128 | −0.033 | 0.016 | −0.077 | 0.014 | −0.002 | −0.141 * |
Sig. (2-tailed) | 0.907 | 0.987 | 0.056 | 0.620 | 0.807 | 0.248 | 0.834 | 0.978 | 0.034 |
Type of Amenities | Sub-Group | Number | Access | Sector |
---|---|---|---|---|
Education | High and middle school | 1 | Open to the public | Public Sector |
Primary school | 4 | |||
Health | Community clinics (called as hospital branches) | 2 | Open to the public | Public Sector |
Pharmacies | 14 | |||
Commerce | Supermarkets | 3 | Open to the public | Public Sector |
Continence stores | >35 | |||
Food/restaurants | >30 | |||
Culture | Cultural centers | 2 | Open to the public | Public Sector |
Skill training agencies | 6 | |||
Social welfare | Social assistance service included in community service centers | 2 | Open to the public | Public Sector |
Elderly care service included in resident’s activity centers | 0–1 (varied in each neighbourhood) | Shared by insiders | Private Sector | |
Sports | Playgrounds with fitting equipment | 1–10 (varied) | Shared by insiders | Private Sector |
Gyms | 0-2 (varied) | Shared by insiders * | Private Sector | |
Public space (collective) | Well-designed small squares or recreational spaces | 1–8 (varied) | Shared by insiders | Private Sector |
Green space (collective) | Open spaces with greening or purposely designed landscapes | 1–12 (varied) | Shared by insiders | Private Sector |
Parking spaces | Internal small car parks on the ground or under the ground | Capacity varied between 60–1400 | Shared by insiders | Private Sector |
Other random spaces |
Type of Facility | ED * | HE | CM | CL | SP | WE | ||
---|---|---|---|---|---|---|---|---|
ED1 (MH) | ED2 (PR) | ED3 (KG) | ||||||
Minimum built up area (m2) | 14,850 | 6500 | 6400 | 400 | 500 | 300 | - | 300 |
Minimum plot area (m2) | 25,200 | 8700 | 7200 | - | - | - | 3000 | - |
Parking Space per Household | Mean of Subjective Satisfaction | |
---|---|---|
LSMD | 0.569 | 2.70 |
MSHD | 0.619 | 2.98 |
MSMD | 0.537 | 2.61 |
MSLD | 0.425 | 2.2 |
SSHD | 0.448 | 1.88 |
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Wang, Y.; Shaw, D.; Yuan, K. Gated Neighborhoods, Privatized Amenities and Fragmented Society: Evidence from Residential Experience and Implications for Urban Planning. Sustainability 2018, 10, 4301. https://doi.org/10.3390/su10114301
Wang Y, Shaw D, Yuan K. Gated Neighborhoods, Privatized Amenities and Fragmented Society: Evidence from Residential Experience and Implications for Urban Planning. Sustainability. 2018; 10(11):4301. https://doi.org/10.3390/su10114301
Chicago/Turabian StyleWang, Yu, David Shaw, and Ke Yuan. 2018. "Gated Neighborhoods, Privatized Amenities and Fragmented Society: Evidence from Residential Experience and Implications for Urban Planning" Sustainability 10, no. 11: 4301. https://doi.org/10.3390/su10114301
APA StyleWang, Y., Shaw, D., & Yuan, K. (2018). Gated Neighborhoods, Privatized Amenities and Fragmented Society: Evidence from Residential Experience and Implications for Urban Planning. Sustainability, 10(11), 4301. https://doi.org/10.3390/su10114301