地理科学进展 ›› 2019, Vol. 38 ›› Issue (12): 1890-1902.doi: 10.18306/dlkxjz.2019.12.006
收稿日期:
2018-12-27
修回日期:
2019-03-22
出版日期:
2019-12-28
发布日期:
2019-12-28
通讯作者:
袁丰
作者简介:
吴翔华(1972— ),男,江苏南京人,研究员,主要从事住房保障与房地产管理研究。E-mail: xianghuaw@sina.com
基金资助:
WU Xianghua1, CHEN Xinyu1, YUAN Feng1,*()
Received:
2018-12-27
Revised:
2019-03-22
Online:
2019-12-28
Published:
2019-12-28
Contact:
YUAN Feng
Supported by:
摘要:
居住和就业的空间关系,既是城市居民日常生活的空间反映,也是评判城市空间合理性的重要准则。新就业大学生(取得专科及以上学历且工作未满3 a,在南京无自有住房且租房居住)、外来务工人员(收入低于2016年南京市人均可支配收入4166元/月,在南京无自有住房且租房居住)和中低收入人群(南京户籍,家庭人均可支配收入低于3074元/月,人均住房面积不大于20 m 2)等住房困难人群,普遍面临住房机会不平等的问题,职住关系也呈现出特殊性。论文基于南京市这3类住房困难人群的873份问卷数据,采用两步聚类法对通勤流向模式进行划分,基于多项Logistic回归模型探究通勤时间和通勤方式的影响因素,并以南京鼓楼区为案例解析住房困难人群的职住关系。结果表明:新就业大学生通勤流向主要为内部通勤,通勤时间最短,职住关系受通勤流向和工作单位影响;外来务工人员通勤流向主要为侧向通勤,通勤方式机动化程度最低,职住关系受通勤流向、工作单位和性别显著影响;中低收入人群通勤流向主要为侧向通勤,职住分离程度最高,职住关系主要受到住房类型的显著影响。以鼓楼区为例,论文进一步发现新就业大学生以交通条件为导向、外来务工人员以工作地为导向和中低收入人群以居住地为导向的职住关系。
吴翔华, 陈昕雨, 袁丰. 南京市住房困难人群职住关系及影响因素分析[J]. 地理科学进展, 2019, 38(12): 1890-1902.
WU Xianghua, CHEN Xinyu, YUAN Feng. Job-housing relationship of people with housing difficulties and influencing factors in Nanjing City[J]. PROGRESS IN GEOGRAPHY, 2019, 38(12): 1890-1902.
表1
问卷样本分布"
行政区 | 问卷发放地点数/个 | 有效样本数/份 | |||||||
---|---|---|---|---|---|---|---|---|---|
保障性住房小区 | 产业园区 | 招聘市场 | 车站 | 新就业大学生 | 外来务工人员 | 中低收入人群 | 总计 | ||
鼓楼 | 9 | 4 | 2 | 104 | 75 | 43 | 222 | ||
建邺 | 3 | 12 | 5 | 26 | 43 | ||||
栖霞 | 3 | 1 | 1 | 27 | 23 | 19 | 69 | ||
秦淮 | 2 | 1 | 1 | 22 | 16 | 21 | 59 | ||
玄武 | 3 | 3 | 1 | 49 | 31 | 20 | 100 | ||
雨花台 | 6 | 2 | 1 | 2 | 55 | 58 | 34 | 147 | |
江宁 | 8 | 2 | 1 | 1 | 57 | 55 | 60 | 172 | |
浦口 | 2 | 1 | 1 | 14 | 17 | 30 | 61 | ||
合计 | 36 | 14 | 6 | 5 | 340 | 280 | 253 | 873 | |
占比 | 38.9% | 32.1% | 29.0% | 100% |
表2
南京市住房困难人群职住关系主要影响变量统计"
变量 | 样本数 | 百分比/% | 通勤时间/min | 变量 | 样本数 | 百分比/% | 通勤时间/min |
---|---|---|---|---|---|---|---|
人群类别 | 工作单位 | ||||||
新就业大学生 | 340 | 38.9 | 39.0 | 国有经济单位 | 128 | 14.7 | 45.8 |
外来务工人员 | 280 | 32.1 | 40.7 | 合资及股份经济单位 | 275 | 31.5 | 41.5 |
中低收入人群 | 253 | 29.0 | 44.1 | 个体或私营企业 | 411 | 47.1 | 38.8 |
性别 | 其他 | 59 | 6.8 | 42.8 | |||
男 | 515 | 59.0 | 42.2 | 通勤流向 | |||
女 | 358 | 41.0 | 39.3 | 内部通勤 | 377 | 43.2 | 39.0 |
婚姻状况 | 内向通勤 | 94 | 10.8 | 52.7 | |||
未婚 | 394 | 45.1 | 40.2 | 逆向通勤 | 29 | 3.3 | 49.0 |
已婚 | 455 | 52.1 | 41.9 | 侧向通勤 | 373 | 42.7 | 39.5 |
离异或丧偶 | 24 | 2.8 | 37.1 |
表4
职住关系影响因素logistic回归结果"
自变量 | 所有样本 | 新就业大学生 | 外来务工人员 | 中低收入人群 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
通勤 时间 | 通勤方式a | 通勤 时间 | 通勤方式 | 通勤 时间 | 通勤方式 | 通勤 时间 | 通勤方式 | ||||||||
A | B | A | B | A | B | A | B | ||||||||
常数 | |||||||||||||||
10 min内 | 0.21*** | 0.17*** | 0.14*** | 0.57 | |||||||||||
10~30 min | 2.19*** | 2.98** | 1.74 | 4.90** | |||||||||||
30~60 min | 19.47*** | 28.42*** | 23.13*** | 40.70*** | |||||||||||
人群类别(新就业大学生为参考) | |||||||||||||||
外来务工人员 | 1.62** | 0.63* | 1.42 | ||||||||||||
中低收入人群 | 2.07*** | 1.13 | 2.69** | ||||||||||||
性别(女性为参考) | |||||||||||||||
男性 | 1.21 | 1.64*** | 1.06 | 0.96 | 1.47 | 0.83 | 1.12 | 1.92** | 1.80 | 1.37 | 1.44 | 1.25 | |||
婚姻状况(未婚为参考) | |||||||||||||||
已婚 | 0.80 | 1.09 | 1.24 | 0.58 | 0.76 | 3.49 | 0.65 | 0.84 | 0.26** | 1.17 | 1.84 | 5.62 | |||
离异或丧偶 | 0.39** | 0.65 | 0.54 | - | - | - | 0.29* | 0.63 | 0.19 | 1.03 | 1.30 | 1.81 | |||
工作单位(国有经济单位为参考) | |||||||||||||||
合资及股份经济单位 | 0.86 | 0.89 | 0.83 | 1.52 | 1.01 | 0.90 | 0.38** | 0.22** | 0.25 | 2.12 | 4.61** | 2.63 | |||
个体或私营企业 | 0.61** | 0.44*** | 0.20*** | 0.94 | 0.42** | 0.10*** | 0.49* | 0.29** | 0.14** | 1.26 | 1.52 | 1.11 | |||
其他 | 0.87 | 0.47** | 0.47 | 2.31 | 0.71 | 0.45 | 0.73 | 0.20** | 1.00 | 1.32 | 1.93 | 1.24 | |||
通勤流向(内部通勤为参考) | |||||||||||||||
内向通勤 | 3.05*** | 5.69*** | 2.83** | 0.99 | 3.31** | 1.45 | 18.69*** | 30.70*** | 84.10*** | 4.41*** | 4.03* | 0.40 | |||
逆向通勤 | 2.75*** | 0.57 | 3.04** | 1.91 | 0.67 | 8.62*** | 18.46*** | 0b | 20.62** | 1.55 | 0.46 | 0.56 | |||
侧向通勤 | 1.16 | 1.62*** | 0.85 | 0.44*** | 1.35 | 0.97 | 2.84*** | 3.48*** | 4.68** | 1.73* | 0.99 | 0.50 | |||
学历(大专为参考) | |||||||||||||||
大专以下 | 0.14*** | 0.58 | 0b | ||||||||||||
本科 | 1.53 | 1.36 | 3.95 | ||||||||||||
本科以上 | 1.461 | 1.40 | 3.98 | ||||||||||||
住房类型(单位宿舍为参考) | |||||||||||||||
商品房 | 0.83 | 0.85 | 0b | ||||||||||||
保障房 | 2.63** | 1.54 | 0.55 | ||||||||||||
拆迁安置房 | 1.96* | 1.56 | 0.66 | ||||||||||||
租赁私人房屋 | 0.77 | 1.02 | 0.05 | ||||||||||||
样本数量 | |||||||||||||||
Cox和Snell R2 | 0.066 | 0.137 | 0.132 | 0.170 | 0.197 | 0.286 | 0.129 | 0.206 | |||||||
Nagelkerke R2 | 0.073 | 0.162 | 0.148 | 0.205 | 0.217 | 0.339 | 0.141 | 0.240 |
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