Key Factors of Opening Gated Community in Urban Area: A Case Study of China
Abstract
:1. Introduction
2. Literature Review
3. Research Methodology
3.1. Identification of Potential Factors
3.2. Data Collection
3.3. Logistic Regression Model (LRM)
4. Results and Discussions
4.1. Descriptive Statistical Analysis
4.2. Logistic Regression
4.3. Discussions
5. Conclusions
Author Contributions
Funding
Informed Consent Statement
Acknowledgments
Conflicts of Interest
Appendix A. Questionnaire
Appendix A.1. Part I: Basic Information
- Your gender:☐ Male ☐ Female
- Your age:☐ Under 20 ☐ 20~29 ☐ 30~39 ☐ 40~49 ☐ 50 and above
- Your education:☐ PhD ☐ Master ☐ Bachelor ☐ Senior high school or below
- Your identity:☐ House owner ☐ House tenant ☐ Property manager ☐ Government officer
- Residential pattern of your community:☐ Gated community ☐ Semi-closed and semi-open community ☐ Open community
- Do you have a private car:☐ Yes ☐ No
- Willingness to open your own community:☐ Agree ☐ Neutral ☐ Disagree
- Willingness to open others’ community:☐ Agree ☐ Neutral ☐ Disagree
Appendix A.2. Part II: Evaluation of Affecting Factors
No. | Factors | 1 | 2 | 3 | 4 | 5 |
1 | Increase the public areas | ☐ | ☐ | ☐ | ☐ | ☐ |
2 | Improve the utilization rate of the community area | ☐ | ☐ | ☐ | ☐ | ☐ |
3 | Reduce the occurrence of traffic jams | ☐ | ☐ | ☐ | ☐ | ☐ |
4 | Increase the non-motor vehicle flows on the branch roads | ☐ | ☐ | ☐ | ☐ | ☐ |
5 | Reduce the time of traffic congestion | ☐ | ☐ | ☐ | ☐ | ☐ |
6 | Reduce property management fees for owners | ☐ | ☐ | ☐ | ☐ | ☐ |
7 | Increase income channels of property management companies | ☐ | ☐ | ☐ | ☐ | ☐ |
8 | Weaken the division of social classes | ☐ | ☐ | ☐ | ☐ | ☐ |
9 | Stimulate the vitality of the community atmosphere | ☐ | ☐ | ☐ | ☐ | ☐ |
10 | Increase the inclusiveness of a city | ☐ | ☐ | ☐ | ☐ | ☐ |
11 | Increase the exposure to vehicle exhaust | ☐ | ☐ | ☐ | ☐ | ☐ |
12 | Increase the risk of noise disturbance to residents | ☐ | ☐ | ☐ | ☐ | ☐ |
13 | Increase the garbage pollution to community | ☐ | ☐ | ☐ | ☐ | ☐ |
14 | Increase the number of posted ads in the community | ☐ | ☐ | ☐ | ☐ | ☐ |
15 | Increase the disorderly parking in the community | ☐ | ☐ | ☐ | ☐ | ☐ |
16 | Increase the difficulty of protecting private properties | ☐ | ☐ | ☐ | ☐ | ☐ |
17 | Increase the possibility of traffic accidents in the community | ☐ | ☐ | ☐ | ☐ | ☐ |
18 | Increase the risk of owners’ privacy invasion | ☐ | ☐ | ☐ | ☐ | ☐ |
19 | Reduce residents’ personal safety in the community | ☐ | ☐ | ☐ | ☐ | ☐ |
20 | Reduce the residents’ utilization rate of community facilities | ☐ | ☐ | ☐ | ☐ | ☐ |
21 | Increase the risk of damage to the community facilities | ☐ | ☐ | ☐ | ☐ | ☐ |
22 | Decrease owner’s equity in the community | ☐ | ☐ | ☐ | ☐ | ☐ |
23 | Increase the property maintenance costs | ☐ | ☐ | ☐ | ☐ | ☐ |
24 | Increase the difficulty of property management | ☐ | ☐ | ☐ | ☐ | ☐ |
25 | Reduce the residents’ senses of ownership | ☐ | ☐ | ☐ | ☐ | ☐ |
26 | Reduce the residents’ senses of respect | ☐ | ☐ | ☐ | ☐ | ☐ |
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Category | Code | Factors | Impact | Source |
---|---|---|---|---|
Community area (CA) | CA1 | Increase public areas | Positive | [30] |
CA2 | Improve the utilization rate of the community area | Positive | [30] | |
Community environment (CE) | CE1 | Increase the exposure to vehicle exhaust | Negative | [31] |
CE2 | Increase the risk of noise disturbance to residents | Negative | [31] | |
CE3 | Increase the garbage pollution to community | Negative | [31] | |
CE4 | Increase the number of posted ads in the community | Negative | [31] | |
CE5 | Increase disorderly parking in the community | Negative | [32] | |
Community safety (CS) | CS1 | Increase the difficulty of protecting private properties | Negative | [33] |
CS2 | Increase the possibility of traffic accidents in the community | Negative | [34] | |
CS3 | Increase the risk of owners’ privacy invasion | Negative | [35] | |
CS4 | Reduce residents’ personal safety in the community | Negative | [35] | |
City traffic (CT) | CT1 | Reduce the occurrence of traffic jams | Positive | [36] |
CT2 | Increase non-motor vehicle flows on the branch roads | Positive | [37] | |
CT3 | Reduce the time of traffic congestion | Positive | [38] | |
Proprietary equity (PE) | PE1 | Reduce residents’ utilization rate of community facilities | Negative | [39] |
PE2 | Increase the risk of damage to the community facilities | Negative | [39] | |
PE3 | Decrease owners’ equity in the community | Negative | [35] | |
Property management (PM) | PM1 | Reduce property management fees | Positive | [40] |
PM2 | Increase income channels of property management companies | Positive | [40] | |
PM3 | Increase the property maintenance costs | Negative | [40] | |
PM4 | Increase the difficulty of property management | Negative | [40] | |
Social development (SD) | SD1 | Weaken the division of social classes | Positive | [41] |
SD2 | Stimulate the vitality of the community atmosphere | Positive | [41] | |
SD3 | Increase the inclusiveness of a city | Positive | [42] | |
SD4 | Reduce the residents’ sense of ownership | Negative | [43] | |
SD5 | Reduce the residents’ sense of respect | Negative | [43] |
Item | Category | Number | Percentage |
---|---|---|---|
Gender | Male | 138 | 44.23% |
Female | 174 | 55.77% | |
Age | Under 20 | 20 | 6.41% |
20~29 | 209 | 66.99% | |
30~39 | 71 | 22.76% | |
40~49 | 6 | 1.92% | |
50 and above | 6 | 1.92% | |
Education | PhD | 14 | 1.28% |
Master | 185 | 34.94% | |
Bachelor | 109 | 59.29% | |
Senior high school or below | 4 | 4.49% | |
Identity | House owner | 171 | 54.81% |
House tenant | 132 | 42.31% | |
Property manager | 2 | 0.64% | |
Government officer | 7 | 2.24% | |
Residential pattern | Gated community | 102 | 32.69% |
Semi-gated community | 140 | 44.87% | |
Open community | 70 | 22.44% | |
Private car | With a private car | 106 | 33.97% |
Without a private car | 206 | 66.03% | |
Willingness to open their own gated community | Agree | 48 | 15.38% |
Neutral | 152 | 48.72% | |
Disagree | 112 | 35.90% | |
Willingness to open others’ gated community | Agree | 62 | 19.87% |
Neutral | 198 | 63.46% | |
Disagree | 52 | 16.67% |
Model Fitting Statistics | Model 1 Male Respondents | Model 2 Female Respondents |
---|---|---|
χ2 | 65.89 (p = 0.000) | 55.397 (p = 0.001) |
−2Log likelihood | 71.243 | 72.770 |
Hosmer-Lemeshow | 2.869 (p = 0.942) | 8.229 (p = 0.411) |
Total sample | 138 | 174 |
Code | Model 1 Male Respondents | Model 2 Female Respondents | ||||
---|---|---|---|---|---|---|
B | OR(Exp(B)) | Sig. | B | OR(Exp(B)) | Sig. | |
CA1 | −0.077 | 0.926 | 0.901 | 0.091 | 1.095 | 0.876 |
CA2 | 1.699 | 5.47 | 0.005 *** | −1.297 | 0.273 | 0.065 * |
CE1 | −2.274 | 0.103 | 0.041 ** | −0.101 | 0.904 | 0.899 |
CE2 | −0.388 | 0.678 | 0.603 | 2.265 | 9.63 | 0.063 * |
CE3 | 0.621 | 1.861 | 0.478 | −1.281 | 0.278 | 0.179 |
CE4 | −0.771 | 0.463 | 0.349 | −1.196 | 0.302 | 0.078 * |
CE5 | 1.392 | 4.023 | 0.124 | 1.099 | 3.002 | 0.168 |
CS1 | 1.451 | 4.265 | 0.01 *** | 0.589 | 1.802 | 0.172 |
CS2 | 0.702 | 2.017 | 0.33 | 0.299 | 1.349 | 0.492 |
CS3 | −1.235 | 0.291 | 0.041 ** | 0.316 | 1.371 | 0.634 |
CS4 | 1.965 | 7.138 | 0.005 *** | −0.456 | 0.634 | 0.486 |
CT1 | −2.106 | 0.122 | 0.004 *** | 0.822 | 2.276 | 0.234 |
CT2 | 0.457 | 1.58 | 0.368 | −1.088 | 0.337 | 0.035 ** |
CT3 | −0.597 | 0.55 | 0.329 | 1.204 | 3.332 | 0.079 * |
PE1 | 0.616 | 1.852 | 0.167 | −1.423 | 0.241 | 0.028 ** |
PE2 | −0.054 | 0.948 | 0.943 | −1.814 | 0.163 | 0.012 ** |
PE3 | −0.015 | 0.985 | 0.981 | 1.547 | 4.697 | 0.042 ** |
PM1 | −2.003 | 0.135 | 0.004 *** | −0.047 | 0.954 | 0.912 |
PM2 | 1.15 | 3.158 | 0.012 ** | −0.113 | 0.893 | 0.801 |
PM3 | 1.056 | 2.874 | 0.029 ** | −1.015 | 0.363 | 0.037 ** |
PM4 | −0.842 | 0.431 | 0.171 | 0.862 | 2.367 | 0.16 |
SD1 | 0.756 | 2.129 | 0.073 * | −0.675 | 0.509 | 0.15 |
SD2 | −0.853 | 0.426 | 0.182 | −1.436 | 0.238 | 0.108 |
SD3 | 0.282 | 1.326 | 0.716 | 0.512 | 1.669 | 0.543 |
SD4 | −0.143 | 0.867 | 0.822 | −1.143 | 0.319 | 0.135 |
SD5 | −0.462 | 0.63 | 0.45 | 0.771 | 2.163 | 0.207 |
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Wu, Z.; Yang, L.; Xu, K.; Zhang, J.; Antwi-Afari, M.F. Key Factors of Opening Gated Community in Urban Area: A Case Study of China. Int. J. Environ. Res. Public Health 2021, 18, 3401. https://doi.org/10.3390/ijerph18073401
Wu Z, Yang L, Xu K, Zhang J, Antwi-Afari MF. Key Factors of Opening Gated Community in Urban Area: A Case Study of China. International Journal of Environmental Research and Public Health. 2021; 18(7):3401. https://doi.org/10.3390/ijerph18073401
Chicago/Turabian StyleWu, Zezhou, Lu Yang, Kexi Xu, Jinming Zhang, and Maxwell Fordjour Antwi-Afari. 2021. "Key Factors of Opening Gated Community in Urban Area: A Case Study of China" International Journal of Environmental Research and Public Health 18, no. 7: 3401. https://doi.org/10.3390/ijerph18073401
APA StyleWu, Z., Yang, L., Xu, K., Zhang, J., & Antwi-Afari, M. F. (2021). Key Factors of Opening Gated Community in Urban Area: A Case Study of China. International Journal of Environmental Research and Public Health, 18(7), 3401. https://doi.org/10.3390/ijerph18073401