地理研究 ›› 2016, Vol. 35 ›› Issue (10): 1846-1856.doi: 10.11821/dlyj201610004
收稿日期:
2016-03-20
修回日期:
2016-07-26
出版日期:
2016-10-26
发布日期:
2016-10-26
作者简介:
作者简介:秦萧(1987- ),男,江苏盐城人,助理研究员,主要研究信息技术与城市地理。E-mail:
基金资助:
Received:
2016-03-20
Revised:
2016-07-26
Online:
2016-10-26
Published:
2016-10-26
摘要:
根据搜寻空间理论,网络渠道能够提供比传统渠道更多的住房信息,减少居民迁居过程中对原住房周边区域的依赖,从而扩大了居民迁居的搜寻范围。但是,与远程办公和住房选择关系的研究相比,学者较少关注网络渠道对居民实际迁居空间的影响。基于南京城区居民迁居活动调查数据,利用三维核密度和多项式逻辑回归模型,重点分析不同信息渠道使用者的迁居时空特征、信息渠道对使用者迁居空间的影响。研究发现,近年来网络渠道已经成为居民迁居过程中的主导住房信息获取方式,其使用者的迁居距离大于传统渠道使用者,丰富了现有关于ICT对居民迁居空间影响的学术研究,也为城市住房信息管理和住房空间规划提供借鉴。
秦萧, 甄峰. 信息渠道对城市居民迁居空间的影响——以南京为例[J]. 地理研究, 2016, 35(10): 1846-1856.
Xiao QIN, Feng ZHEN. The impacts of information channels on moving space:A case study on Nanjing[J]. GEOGRAPHICAL RESEARCH, 2016, 35(10): 1846-1856.
表1
南京城区居民不同类型信息渠道使用百分比"
属性小类 | 传统渠道(%) | 网络渠道(%) | |||||||
---|---|---|---|---|---|---|---|---|---|
报纸、电视等 | 亲戚朋友介绍 | 广告、宣传单等 | 其他方式 | 小计 | 中介机构 | 房产信息网站 | 小计 | ||
男性 | 4 | 15 | 4 | 22 | 45 | 25 | 30 | 55 | |
女性 | 7 | 23 | 5 | 21 | 56 | 23 | 22 | 44 | |
20~29岁 | 4 | 19 | 4 | 21 | 47 | 25 | 27 | 53 | |
30~39岁 | 8 | 21 | 4 | 19 | 52 | 22 | 25 | 48 | |
40岁以上 | 10 | 10 | 10 | 41 | 71 | 18 | 11 | 29 | |
高中/中专及以下 | 11 | 32 | 4 | 15 | 62 | 25 | 13 | 38 | |
大专及本科 | 5 | 20 | 4 | 20 | 49 | 23 | 28 | 51 | |
研究生及以上 | 2 | 13 | 4 | 23 | 41 | 32 | 28 | 59 | |
3000元及以下 | 6 | 24 | 4 | 31 | 65 | 21 | 14 | 35 | |
3000~5000元 | 5 | 19 | 5 | 19 | 47 | 23 | 30 | 53 | |
5001~8000元 | 6 | 9 | 2 | 20 | 37 | 29 | 34 | 63 | |
8000元以上 | 9 | 14 | 2 | 22 | 47 | 26 | 28 | 53 | |
政府/事业单位人员 | 6 | 19 | 5 | 15 | 45 | 26 | 29 | 55 | |
企业办公人员 | 5 | 20 | 3 | 15 | 43 | 26 | 31 | 57 | |
自由职业者 | 6 | 21 | 8 | 15 | 50 | 31 | 19 | 50 | |
商业服务人员 | 4 | 17 | 4 | 30 | 54 | 22 | 24 | 46 | |
制造业工人 | 0 | 75 | 0 | 0 | 75 | 0 | 25 | 25 | |
外出务工人员 | 14 | 29 | 14 | 0 | 57 | 14 | 29 | 43 | |
其他 | 26 | 10 | 0 | 38 | 74 | 13 | 13 | 26 |
表2
多项式逻辑回归结果"
自变量 | 迁居距离 | ||||
---|---|---|---|---|---|
0~5 km(含5 km) | 5~10 km(含10 km) | ||||
系数 | 标准差(鲁棒检验) | 系数 | 标准差(鲁棒检验) | ||
信息渠道(参照项:传统渠道) | |||||
网络渠道 | -2.280*** | 0.859 | -1.689* | 0.900 | |
混合渠道 | -1.174 | 0.928 | -3.114** | 1.446 | |
远程办公水平(参照项:低水平) | |||||
高水平 | -1.271* | 0.701 | 0.045 | 0.868 | |
中水平 | -2.122** | 0.934 | -0.067 | 1.188 | |
主要通勤方式(参照项:私家车) | |||||
非机动车 | 0.912 | 1.056 | 0.483 | 1.213 | |
公共交通 | -0.514 | 0.809 | -0.324 | 0.827 | |
房价(2012年) | -0.049 | 0.296 | 0.109 | 0.293 | |
房屋拥有权(参照项:租住房屋) | |||||
自有房屋 | -1.661** | 0.741 | -0.316 | 0.878 | |
年龄 | -0.046 | 0.338 | 0.089 | 0.311 | |
性别(参照项:女性) | |||||
男性 | 0.590 | 0.633 | 0.035 | 0.760 | |
教育水平(参照项:低水平) | |||||
高水平 | 0.228 | 1.385 | -0.723 | 1.436 | |
截距 | 3.987** | 1.759 | 2.280 | 1.851 | |
样本数 | 94 | ||||
-2倍对数似然值 | 154.439 | ||||
似然比 | 32.171* |
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