Acta Geographica Sinica ›› 2015, Vol. 70 ›› Issue (8): 1271-1280.doi: 10.11821/dlxb201508007
• Orginal Article • Previous Articles Next Articles
Tana1(), Yanwei CHAI1(
), Mei-Po KWAN2
Received:
2014-10-11
Revised:
2015-01-08
Online:
2015-08-20
Published:
2015-08-20
Tana, Yanwei CHAI, Mei-Po KWAN. Suburbanization, daily lifestyle and space-behavior interaction in Beijing[J].Acta Geographica Sinica, 2015, 70(8): 1271-1280.
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Tab. 1
Respondent characteristics by community
变量 | 样本数 | 频率 | |
---|---|---|---|
性别 | 男性 | 140 | 47.78% |
女性 | 153 | 52.22% | |
年龄 | 36.17 | ||
户口 | 非北京户口 | 39 | 13.31% |
北京户口 | 254 | 86.69% | |
个人月收入 | 低于2000元 | 32 | 10.92% |
2001~6000元 | 180 | 61.43% | |
6001元以上 | 81 | 27.65% | |
教育程度 | 高中及以下 | 42 | 14.33% |
大专或大学 | 199 | 67.92% | |
研究生及以上 | 52 | 17.75% | |
住房产权 | 自有住房 | 254 | 86.69% |
租住住房 | 39 | 13.31% | |
汽车所有权 | 有小汽车 | 185 | 63.14% |
无小汽车 | 108 | 36.86% | |
家庭规模 | 1 | 5 | 1.71% |
2 | 68 | 23.21% | |
3 | 141 | 48.12% | |
4+ | 79 | 26.96% |
Tab. 5
Independent variables of the multinomial logistic model in daily lifestyle
变量 | 变量类别 | 备注 |
---|---|---|
1.个人社会经济属性 | ||
性别 | 虚拟变量 | 1=女性,0=男性 |
年龄 | 连续变量 | |
个人收入 | 连续变量 | |
教育程度 | 连续变量 | |
户口 | 虚拟变量 | 1=北京户口,0=非北京户口 |
工作时间 | 连续变量 | |
2.家庭社会经济属性 | ||
家庭规模 | 连续变量 | |
住房产权 | 虚拟变量 | 1=自有住房,0=租住住房 |
汽车所有权 | 虚拟变量 | 1=有小汽车,0=无小汽车 |
3.建成环境属性 | ||
休闲设施密度 | 连续变量 | 以家为中心500m范围内休闲设施密度 |
零售商业密度 | 连续变量 | 以家为中心500m范围内零售商业设施密度 |
距离地铁站的距离 | 连续变量 | 家与最近的地铁站的直线距离 |
单位社区 | 虚拟变量 | |
商品房社区 | 虚拟变量 | |
保障房社区 | 虚拟变量 | |
混合社区 | 参照变量 |
Tab. 6
Multinomial logistic model for the impact of suburbanization on daily lifestyle
空间排斥 | 本地化 | 两极化 | 城市依赖 | |||||
---|---|---|---|---|---|---|---|---|
B | 概率比 | B | 概率比 | B | 概率比 | B | 概率比 | |
截距 | -4.381 | -2.846 | -2.485 | -2.263 | ||||
女性 | 1.001 | 2.722** | 1.417 | 4.123*** | -0.451 | 0.637 | 0.011 | 1.011 |
年龄 | 0.051 | 1.052* | 0.105 | 1.111*** | 0.036 | 1.037 | -0.010 | 0.990 |
个人收入 | -0.435 | 0.647* | -0.355 | 0.701 | -0.043 | 0.958 | 0.184 | 1.202 |
教育程度 | 0.206 | 1.229 | -0.414 | 0.661* | -0.116 | 0.891 | 0.289 | 1.335 |
北京户口 | -0.413 | 0.662 | 0.266 | 1.305 | -0.061 | 0.941 | 0.010 | 1.010 |
工作时间 | 0.137 | 1.147 | -0.231 | 0.794* | 0.096 | 1.101 | -0.339 | 0.713*** |
家庭规模 | 0.094 | 1.098 | -0.194 | 0.824 | 0.346 | 1.414* | -0.084 | 0.920 |
住房产权 | 0.400 | 1.492 | 0.264 | 1.302 | 0.704 | 2.022 | 0.026 | 1.026 |
汽车所有权 | 0.055 | 1.056 | -0.298 | 0.742 | -0.290 | 0.748 | 0.503 | 1.654 |
休闲设施密度 | -0.012 | 0.988 | 0.298 | 1.347*** | -0.003 | 0.997 | 0.056 | 1.058 |
零售商业密度 | -0.006 | 0.994 | -0.245 | 0.782*** | -0.035 | 0.965 | -0.013 | 0.987 |
距离地铁站的距离 | 0.148 | 1.160 | 1.661 | 5.266** | -1.091 | 0.336** | -0.044 | 0.957 |
单位社区 | 0.413 | 1.512 | 1.957 | 7.081** | 0.976 | 2.653 | 1.211 | 3.356* |
商品房社区 | 0.522 | 1.686 | 1.349 | 3.855 | -0.399 | 0.671 | 0.549 | 1.731 |
保障房社区 | -0.871 | 0.419 | 2.655 | 14.219** | -0.744 | 0.475 | 0.975 | 2.651 |
模型拟合参数 | Chi-Square= 11.876 Sig.= 0.000 | |||||||
Pseudo R2: Cox and Snell= 0.340 |
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