PROGRESS IN GEOGRAPHY ›› 2019, Vol. 38 ›› Issue (3): 417-427.doi: 10.18306/dlkxjz.2019.03.011
• Articles • Previous Articles Next Articles
Zhenshan YANG1(), Di WU1,2, Ding YANG1,2
Received:
2018-04-04
Revised:
2018-12-07
Online:
2019-03-28
Published:
2019-03-28
Supported by:
Zhenshan YANG, Di WU, Ding YANG. Willingness to move, place dependence and community identity: An investigation of residential choice in the Zhongguancun area in Beijing[J].PROGRESS IN GEOGRAPHY, 2019, 38(3): 417-427.
Tab.1
Key variables of the model"
调查变量 | 变量释义 |
---|---|
迁居意愿 | 愿意继续居住,不愿意继续居住,尚未决定 |
户口 | 有北京户口,无北京户口 |
学历 | 小学及以下、初中到高中、大专或本科、硕士、博士以上 |
住房性质 | 自有产权住房,租房,其他 |
在本社区居住时间 | 1 a以下,1~5 a,5~10 a,10~20 a,20~30 a,30~40 a,40~50 a,50 a以上 |
社区认同感 | 根据社区认同感量表的各项问题进行汇总后计平均分。其中对各项正向陈述的回答“非常同意、比较同意、一般、比较不同意、非常不同意”依次计分5~1 |
教育依赖感 | 根据地方依赖感量表的各项问题进行汇总后计平均分。按照“强依赖、比较依赖、中立、依赖性不强、没有依赖”依次计分5~1 |
就业依赖感 | 根据地方依赖感量表的各项问题进行汇总平均计分。计分方式同上 |
Tab.2
Details of the Williams questionnaire"
变量名 | 教育依赖 | 变量名 | 就业依赖 | 变量名 | 社区认同 |
---|---|---|---|---|---|
J1 | 没有地区能与中关村这一带教育资源相比 | JY1 | 没有地区能与中关村这一带的就业条件相比 | SQ1 | 我非常喜欢本社区 |
J2 | 住在这里能比在其他地方可享受更多的教育资源 | JY2 | 住在这里能比在其他地方可享受更多的创业优惠 | SQ2 | 我觉得自己是本社区中的一部分 |
J3 | 住在这里所享受到的教育资源比住在其他地方更让我满意 | JY3 | 住在这里所享受到的市场资源比住在其他地方更让我满意 | SQ3 | 我很关心本社区组织的活动 |
J4 | 中关村这一带是孩子上学最好的地方 | JY4 | 中关村这一带是就业最好的地方 | SQ4 | 我觉得本社区的生活对我很重要 |
J5 | 我不想让孩子在其他地方上学 | JY5 | 我不想在其他地方工作 | SQ5 | 我认同在本社区生活能为我提供的教育资源 |
J6 | 其他地区无法比中关村这一带的教育资源更适合孩子发展 | JY6 | 其他地区无法比中关村这一带的条件更适合就业 | SQ6 | 我认同在本社区生活能为我提供的就业条件 |
J7 | 除了中关村这一带,我无法想象一个更好的地方让孩子上学 | JY7 | 除了中关村这一带,我无法想象一个更好的地方来就业 | SQ7 | 我认同这个社区的物质环境 |
J8 | 其他地区的教育资源不能为我提供和这里一样的效果 | JY8 | 其他地区的就业资源不能为我提供和这里一样的效果 | SQ8 | 我愿意付出时间和精力,使社区环境变得更好 |
SQ9 | 我愿意提供金钱帮助,使社区环境变得更好 |
Tab.4
Description of the respondents"
特征 | 特征类型 | 人数/人 | 占全部被调查人员/% | 特征 | 特征类型 | 人数/人 | 占全部被调查人员/% |
---|---|---|---|---|---|---|---|
性别 | 男 | 130 | 45 | 户口情况 | 北京户口 | 141 | 48 |
女 | 162 | 55 | 非北京户口 | 151 | 52 | ||
住房性质 | 自有产权 | 140 | 48 | 就业情况 | 本地区就业人数 | 150 | 51 |
租房 | 121 | 44 | 有创业意愿的人 | 74 | 25 | ||
其他住房类型* | 31 | 8 | 正在创业的人 | 35 | 12 | ||
工资 | 2000元以下 | 44 | 15 | 学历 | 小学及以下 | 11 | 4 |
2000~4000元 | 56 | 19 | 初中到高中 | 85 | 29 | ||
4000~6000元 | 56 | 19 | 大专或本科 | 127 | 43 | ||
6000~8000元 | 41 | 14 | 硕士 | 53 | 18 | ||
8000~10000元 | 58 | 20 | 博士及以上 | 16 | 5 | ||
10000元以上 | 37 | 13 | 在本社区 居住时间 | 1 a及以内 | 60 | 21 | |
居住人员 | 独居 | 23 | 8 | 1~5(含) a | 81 | 28 | |
配偶 | 54 | 18 | 5~10(含) a | 44 | 15 | ||
父母或子女* | 140 | 48 | 10~20(含) a | 52 | 18 | ||
祖孙三代 | 25 | 9 | 20~30(含) a | 24 | 8 | ||
同事 | 37 | 13 | 30~40(含) a | 17 | 6 | ||
其他居住人员* | 13 | 4 | 40~50(含) a | 7 | 2 | ||
50 a以上 | 7 | 2 |
Tab.5
Cross analysis of residential mobility (人)"
因素 | 特征类型 | 居住意愿 | 总计 | ||
---|---|---|---|---|---|
愿意 | 不愿意 | 不好说 | |||
北京户口 | 是 | 101(71.6%)* | 12(8.5%) | 28(19.9%) | 141(100.0%) |
否 | 76(50.3%) | 24(15.9%) | 51(33.8%) | 151(100.0%) | |
住房性质 | 自有产权房 | 97(69.3%) | 15(10.7%) | 28(20.0%) | 140(100.0%) |
租房 | 70(57.9%) | 15(12.4%) | 36(29.8%) | 121(100.0%) | |
其他 | 10(32.3%) | 6(19.4%) | 15(48.4%) | 31(100.0%) | |
房屋满意度 | 非常满意 | 19(79.2%) | 1(4.2%) | 4(16.7%) | 24(100.0%) |
比较满意 | 89(70.6%) | 9(7.1%) | 28(22.2%) | 126(100.0%) | |
一般 | 60(52.6%) | 17(14.9%) | 37(32.5%) | 114(100.0%) | |
不太满意 | 8(34.8%) | 6(26.1%) | 9(39.1%) | 23(100.0%) | |
非常不满意 | 1(20.0%) | 3(60.0%) | 1(20.0%) | 5(100.0%) | |
居住时间 | 5 a及5 a内 | 80(56.7%) | 22(15.6%) | 39(27.7%) | 141(100.0%) |
5 a以上 | 97(64.3%) | 14(9.3%) | 40(26.5%) | 151(100.0%) | |
就业依赖 | 1(含)~2分 | 2(25.0%) | 4(50.0%) | 2(25.0%) | 8(100.0%) |
2(含)~3分 | 54(55.1%) | 15(15.3%) | 29(29.6%) | 98(100.0%) | |
3(含)~4分 | 103(64.4%) | 13(8.1%) | 44(27.5%) | 160(100.0%) | |
≥4分 | 18(69.2%) | 4(15.4%) | 4(15.4%) | 26(100.0%) | |
教育依赖 | 1(含)~2分 | 2(28.6%) | 4(57.1%) | 1(14.3%) | 7(100.0%) |
2(含)~3分 | 25(48.1%) | 6(11.5%) | 21(40.4%) | 52(100.0%) | |
3(含)~4分 | 94(61.0%) | 18(11.7%) | 42(27.3%) | 154(100.0%) | |
≥4分 | 56(70.9%) | 8(10.1%) | 15(19.0%) | 79(100.0%) | |
社区认同 | 1(含)~2分 | 0(0) | 1(100.0%) | 0(0) | 1(100.0%) |
2(含)~3分 | 21(33.9%) | 20(32.3%) | 21(33.9%) | 62(100.0%) | |
3(含)~4分 | 137(66.5%) | 14(6.8%) | 55(26.7%) | 206(100.0%) | |
≥4分 | 19(82.6%) | 1(4.3%) | 3(13.0%) | 23(100.0%) | |
总计 | 177(60.6%) | 36(12.3%) | 79(27.1%) | 292(100.0%) |
Tab.6
Cross analysis of employment dependence (人)"
因素 | 特征类型 | 调查人员就业依赖量表平均分 | 合计 | |||
---|---|---|---|---|---|---|
1(含)~2分 | 2(含)~3分 | 3(含)~4分 | ≥4分 | |||
本地区就业 | 是 | 2(1.3%) | 41(27.3%) | 87(58.0%) | 20(13.3%) | 150(100.0%) |
否 | 6(4.2%) | 57(40.1%) | 73(51.4%) | 6(4.2%) | 142(100.0%) | |
自主创业 | 是 | 0(0.0%) | 8(22.9%) | 18(51.4%) | 9(25.7%) | 35(100.0%) |
否 | 8(3.1%) | 90(35.0%) | 142(55.3%) | 17(6.6%) | 257(100.0%) | |
创业打算 | 是 | 0(0) | 20(27.0%) | 41(55.4%) | 13(17.6%) | 74(100.0%) |
否 | 8(3.7%) | 78(35.8%) | 119(54.6%) | 13(6.0%) | 218(100.0%) | |
工作行业 | IT行业 | 3(6.4%) | 16(34.0%) | 20(42.6%) | 8(17.0%) | 47(100.0%) |
建筑工程 | 1(10.0%) | 2(20.0%) | 7(70.0%) | 0(0) | 10(100.0%) | |
餐饮服务 | 0(0.0%) | 3(20.0%) | 11(73.3%) | 1(6.7%) | 15(100.0%) | |
医疗卫生 | 1(3.2%) | 11(35.5%) | 16(51.6%) | 3(9.7%) | 31(100.0%) | |
文教机构 | 0(0) | 19(40.4%) | 25(53.2%) | 3(6.4%) | 47(100.0%) | |
交通运输 | 0(0) | 2(40.0%) | 3(60.0%) | 0(0) | 5(100.0%) | |
批发零售 | 0(0) | 3(21.4%) | 7(50.0%) | 4(28.6%) | 14(100.0%) | |
物流快递 | 0(0) | 1(50.0%) | 1(50.0%) | 0(0.0%) | 2(100.0%) | |
其他 | 3(2.5%) | 41(33.9%) | 70(57.9%) | 7(5.8%) | 121(100.0%) | |
工资 | 2000元以下 | 1(2.3%) | 18(40.9%) | 23(52.3%) | 2(4.5%) | 44(100.0%) |
2000~4000元 | 3(5.4%) | 15(26.8%) | 33(58.9%) | 5(8.9%) | 56(100.0%) | |
4000~6000元 | 1(1.8%) | 19(33.9%) | 28(50.0%) | 8(14.3%) | 56(100.0%) | |
6000~8000元 | 0(0.0%) | 14(34.1%) | 22(53.7%) | 5(12.2%) | 41(100.0%) | |
8000~10000元 | 3(5.2%) | 19(32.8%) | 33(56.9%) | 3(5.2%) | 58(100.0%) | |
10000元以上 | 0(0) | 13(35.1%) | 21(56.8%) | 3(8.1%) | 37(100.0%) | |
合计 | 8(2.7%) | 98(33.6%) | 160(54.8%) | 26(8.9%) | 292(100.0%) |
Tab.7
Cross analysis of education dependence (人)"
因素 | 特征类型 | 调查人员子女教育量表平均分 | 合计 | |||
---|---|---|---|---|---|---|
1(含)~2分 | 2(含)~3分 | 3(含)~4分 | ≥4分 | |||
北京户口 | 是 | 4(2.8%) | 21(14.9%) | 77(54.6%) | 39(27.7%) | 141(100.0%) |
否 | 3(2.0%) | 31(20.5%) | 77(51.0%) | 40(26.5%) | 151(100.0%) | |
住房性质 | 自有产权 | 3(2.1%) | 20(14.3%) | 78(55.7%) | 39(27.9%) | 140(100.0%) |
租房 | 4(3.3%) | 27(22.3%) | 59(48.8%) | 31(25.6%) | 121(100.0%) | |
其他 | 0(0) | 5(16.1%) | 17(54.8%) | 9(29.0%) | 31(100.0%) | |
子女是否上学 | 是 | 3(2.1%) | 21(14.4%) | 75(51.4%) | 47(32.2%) | 146(100.0%) |
否 | 4(2.7%) | 31(21.2%) | 79(54.1%) | 32(21.9%) | 146(100.0%) | |
子女是否上辅导班 | 是 | 0(0) | 19(16.7%) | 58(50.9%) | 37(32.5%) | 114(100.0%) |
否 | 7(3.9%) | 33(18.5%) | 96(53.9%) | 42(23.6%) | 178(100.0%) | |
教育满意度 | 非常满意 | 2(3.5%) | 4(7.0%) | 25(43.9%) | 26(45.6%) | 57(100.0%) |
比较满意 | 3(1.7%) | 30(16.8%) | 99(55.3%) | 47(26.3%) | 179(100.0%) | |
一般 | 2(3.9%) | 17(33.3%) | 27(52.9%) | 5(9.8%) | 51(100.0%) | |
不太满意 | 0(0) | 0(0) | 3(75.0%) | 1(25.0%) | 4(100.0%) | |
非常不满意 | 0(0) | 1(100.0%) | 0(0) | 0(0) | 1(100.0%) | |
是否满足需求 | 是 | 6(2.3%) | 41(16.0%) | 137(53.3%) | 73(28.4%) | 257(100.0%) |
否 | 1(2.9%) | 11(31.4%) | 17(48.6%) | 6(17.1%) | 35(100.0%) | |
合计 | 7(2.4%) | 52(17.8%) | 154(52.7%) | 79(27.1%) | 292(100.0%) |
Tab.8
Cross analysis of community identity (人)"
因素 | 特征类型 | 调查人员社区认同量表平均分 | 合计 | |||
---|---|---|---|---|---|---|
1(含)~2分 | 2(含)~3分 | 3(含)~4分 | ≥4分 | |||
北京户口 | 有 | 0(0) | 18(12.8%) | 104(73.8%) | 19(13.5%) | 141(100.0%) |
无 | 1(0.7%) | 44(29.1%) | 102(67.5%) | 4(2.6%) | 151(100.0%) | |
住房性质 | 自有产权 | 0(0) | 17(12.1%) | 104(74.3%) | 19(13.6%) | 140(100.0%) |
租房 | 1(0.8%) | 32(26.4%) | 85(70.2%) | 3(2.5%) | 121(100.0%) | |
其他 | 0(0) | 13(41.9%) | 17(54.8%) | 1(3.2%) | 31(100.0%) | |
居住时间 | 5 a及5 a内 | 1(0.7%) | 42(29.8%) | 92(65.2%) | 6(4.3%) | 141(100.0%) |
5 a以上 | 0(0) | 20(13.2%) | 114(75.5%) | 17(11.3%) | 151(100.0%) | |
工作行业 | IT行业 | 0(0) | 15(31.9%) | 31(66.0%) | 1(2.1%) | 47(100.0%) |
建筑工程 | 0(0) | 2(20.0%) | 5(50.0%) | 3(30.0%) | 10(100.0%) | |
餐饮服务 | 0(0) | 2(13.3%) | 13(86.7%) | 0(0) | 15(100.0%) | |
医疗卫生 | 0(0) | 6(19.4%) | 25(80.6%) | 0(0) | 31(100.0%) | |
文教机构 | 0(0) | 4(8.5%) | 38(80.9%) | 5(10.6%) | 47(100.0%) | |
交通运输 | 0(0) | 1(20.0%) | 3(60.0%) | 1(20.0%) | 5(100.0%) | |
批发零售 | 0(0) | 3(21.4%) | 11(78.6%) | 0(0) | 14(100.0%) | |
物流快递 | 0(0) | 1(50.0%) | 1(50.0%) | 0(0) | 2(100.0%) | |
其他 | 1(0.8%) | 28(23.1%) | 79(65.3%) | 13(10.7%) | 121(100.0%) | |
合计 | 1(0.3%) | 62(21.2%) | 206(70.5%) | 23(7.9%) | 292(100.0%) |
[1] |
柴宏博, 冯健. 2016. 基于家庭生命历程的北京郊区居民行为空间研究[J]. 地理科学进展, 35(12): 1506-1516.
doi: 10.18306/dlkxjz.2016.12.007 |
[Chai H B, Feng J.2016. Behavior space of suburban residents in Beijing based on family life course. Progress in Geography, 35(12): 1506-1516. ]
doi: 10.18306/dlkxjz.2016.12.007 |
|
[2] | 柴梅, 田明华, 李松. 2017. 城市社区认同现状及重塑路径研究[J]. 城市发展研究,(11): 76-81, 106. |
[Cai M, Tian M H, Li S.The research in the situation and the ways of rebuilding the city community identity. Urban Development Studies,(11): 76-81, 106. ] | |
[3] |
柴彦威, 陈零极. 2009. 中国城市单位居民的迁居: 生命历程方法的解读[J]. 国际城市规划, (5): 7-14.
doi: 10.3969/j.issn.1673-9493.2009.05.003 |
[Chai Y W, Chen L J.2009. The residential mobility of urban Danwei residents: A life course approach. Urban Planning International, 24(5): 7-14. ]
doi: 10.3969/j.issn.1673-9493.2009.05.003 |
|
[4] | 董藩, 董文婷. 2017. 学区房价格及其形成机制研究[J]. 社会科学战线, (1): 43-51. |
[Dong F, Dong W T.2017. The mechanism of housing prices in the school districts. Social Science, (1): 43-51. ] | |
[5] |
冯健, 林文盛. 2017. 苏州老城区衰退邻里居住满意度及影响因素[J]. 地理科学进展, 36(2): 159-170.
doi: 10.18306/dlkxjz.2017.02.003 |
[Feng J, Lin W S.2017. Resi-dential satisfaction level and influencing factors of declining old town residents in Suzhou. Progress in Geography, 36(2): 159-170. ]
doi: 10.18306/dlkxjz.2017.02.003 |
|
[6] |
冯健, 项怡之. 2017. 开发区居住空间特征及其形成机制: 对北京经济技术开发区的调查[J]. 地理科学进展, 36(1): 99-111.
doi: 10.18306/dlkxjz.2017.01.010 |
[Feng J,Xiang Y Z.2017. Characteristics of residential space of development zone and formation mechanism: An investigation of Beijing eco-nomic-technological development area. Progress in Geography, 36(1): 99-111. ]
doi: 10.18306/dlkxjz.2017.01.010 |
|
[7] |
冯健, 周一星. 2003. 北京都市区社会空间结构及其演化(1982—2000)[J]. 地理研究, 22(4): 465-483.
doi: 10.3321/j.issn:1000-0585.2003.04.009 |
[Feng J, Zhou Y X.2003. The social spatial structure of Beijing metropolitan area and its evolution: 1982—2000. Geographical Research, 22(4): 465-483. ]
doi: 10.3321/j.issn:1000-0585.2003.04.009 |
|
[8] | 韩会然, 杨成凤, 宋金平. 2014. 城市居住与就业空间关系研究进展及展望[J]. 人文地理, 29(6): 24-31. |
[Han H R, Yang C F, Song J P.2014. Progress and prospects of jobs-housing spatial relationship research. Human Geography, 29(6): 24-31. ] | |
[9] |
康琪雪. 2010. 居民的居住区位选择状况分析: 基于北京市调查数据[J]. 财经问题研究, (10): 118-123.
doi: 10.3969/j.issn.1000-176X.2010.10.021 |
[Kang Q X.2010. An analysis of residents' residential location selection: A case study of Beijing. Research on Financial and Economic Issues, (10): 118-123. ]
doi: 10.3969/j.issn.1000-176X.2010.10.021 |
|
[10] |
刘望保, 闫小培. 2007. 转型期广州市居住迁移影响因素于户籍之间的比较[J]. 地理研究, 26(5): 1055-1066.
doi: 10.3321/j.issn:1000-0585.2007.05.022 |
[Liu W B, Yan X P.2007. Comparison of influencing factors for residential mobility between different household register types in transitional urban China: A case study of Guangzhou. Geographical Research, 26(5): 1055-1066. ]
doi: 10.3321/j.issn:1000-0585.2007.05.022 |
|
[11] |
刘望保, 闫小培, 曹小曙. 2008. 西方国家城市内部居住迁移研究综述[J]. 地理科学, 28(1): 131-137.
doi: 10.3969/j.issn.1000-0690.2008.01.023 |
[Liu W B, Yan X P, Cao X S.2008. Review on intra-urban residential mobility in the western country. Scientia Geographica Sinica, 28(1): 131-137. ]
doi: 10.3969/j.issn.1000-0690.2008.01.023 |
|
[12] |
桑志芹, 夏少昂. 2013. 社区意识: 人际关系、社会嵌入与社区满意度: 城市居民的社区认同调查[J]. 南京社会科学, (2): 63-69.
doi: 10.3969/j.issn.1001-8263.2013.02.010 |
[Sang Z Q, Xia S A.2013. Sense of community: Interpersonal relationship, social embedment and community satisfaction. Nanjing Journal of Social Sciences, (2): 63-69. ]
doi: 10.3969/j.issn.1001-8263.2013.02.010 |
|
[13] |
石忆邵, 王伊婷. 2014. 上海市学区房价格的影响机制[J]. 中国土地科学, 28(12): 47-55.
doi: 10.3969/j.issn.1001-8158.2014.12.007 |
[Shi Y S, Wang Y T.2014. The impacting mechanism of housing prices in the school districts in Shanghai City. China Land Sciences, 28(12): 47-55. ]
doi: 10.3969/j.issn.1001-8158.2014.12.007 |
|
[14] |
孙斌栋, 李南菲, 宋杰洁, 等. 2010. 职住平衡对通勤交通的影响分析: 对一个传统城市规划理念的实证检验[J]. 城市规划学刊, (6): 55-60.
doi: 10.3969/j.issn.1000-3363.2010.06.008 |
[Sun B D, Li N F, Song J J, et al.2010. A study on the impact of job-housing balance on commuting travel: An empirical test of a traditional idea in the field of urban planning. Uran Planning Forum, (6): 55-60. ]
doi: 10.3969/j.issn.1000-3363.2010.06.008 |
|
[15] | 唐有财, 胡兵. 2016. 社区治理中的公众参与: 国家认同与社区认同的双重驱动[J]. 云南师范大学学报(哲学社会科学版), 48(2): 63-69. |
[Tang Y C, Hu B.2016. Public participation in community governance: National identity and community identity as two driving forces. Journal of Yunnan Normal University (Humanities and Social Sciences), 48(2): 63-69. ] | |
[16] |
杨卡. 2010. 新城居民社区归属感研究: 以南京市为例[J]. 池州学院学报, (3): 66-69.
doi: 10.3969/j.issn.1674-1102.2010.03.023 |
[Yang K.2010. Sense of community in new cities residents: A case study of Nanjing. Journal of Chizhou College, (3): 66-69. ]
doi: 10.3969/j.issn.1674-1102.2010.03.023 |
|
[17] |
杨振山, 蔡建明, 高晓路. 2009. 利用探索式空间数据解析北京城市空间经济发展模式[J]. 地理学报, 64(8): 945-955.
doi: 10.3321/j.issn:0375-5444.2009.08.005 |
[Yang Z S, Cai J M, Gao X L.2009. Identification of spatial economic structure in Beijing by applying exploratory spatial data statistics. Acta Geographica Sinica, 64(8): 945-955. ]
doi: 10.3321/j.issn:0375-5444.2009.08.005 |
|
[18] | 杨振山, 粟子林, 丁悦, 等. 2018. 学区化外部性对城市空间的影响[J]. 人文地理, 33(4): 60-67. |
[Yang Z S, Li Z L, Ding Y, et al.2018. The external effect of Jiaoyufication upon urban space. Human Geography, 33(4): 60-67. ] | |
[19] |
于涛, 于静静. 2017. “就近入学”下的住宅价格分析: 学区房中的教育资本化问题[J]. 中国房地产, (6): 3-13.
doi: 10.3969/j.issn.1001-9138.2017.02.001 |
[Yu T, Yu J J.2017. Analysis of housing price under the policy of "admission into the nearest school": The problem of educational capitalization in the school district housing. China Real Estate, (6): 3-13. ]
doi: 10.3969/j.issn.1001-9138.2017.02.001 |
|
[20] |
郑承智, 张旺锋, 武炳炎, 等. 2017. 北京市外来人口集聚型城中村流动人口职住分离研究[J]. 地理科学进展, 36(4): 416-425.
doi: 10.18306/dlkxjz.2017.04.003 |
[Zheng C Z, Zhang W F, Wu B Y, et al.2017. Job-housing mismatch of floating population in urban villages of Beijing. Progress inGeography, 36(4): 416-425. ]
doi: 10.18306/dlkxjz.2017.04.003 |
|
[21] | 周春山. 1996. 中国城市人口迁居特征、迁居原因和影响因素分析[J]. 城市规划汇刊,(4): 17-21, 16-65. |
[Zhou C S.1996. Analysis on characteristics, causes and influential aspects of urban population migration in China. Urban Planning Forum,(4): 17-21, 16-65. ] | |
[22] |
周素红, 刘玉兰. 2010. 转型期广州城市居民居住与就业地区位选择的空间关系及其变迁[J]. 地理学报, 65(2): 191-201.
doi: 10.11821/xb201002006 |
[Zhou S, Liu Y.2010. The situation and transition of jobs-housing relocation in Guangzhou, China. Acta Geographica Sinica, 65(2): 191-201. ]
doi: 10.11821/xb201002006 |
|
[23] | 朱竑, 刘博. 2011. 地方感、地方依恋与地方认同等概念的辨析及研究启示[J]. 华南师范大学学报(自然科学版), (1): 1-8. |
[Zhu H, Liu B.2011. Concepts analysis and research implications: Sense of place, place attachment and place identity. Journal of South China Normal University (Natural Science Edition), (1): 1-8. ] | |
[24] |
庄春萍, 张建新. 2011. 地方认同: 环境心理学视角下的分析[J]. 心理科学进展, 19(9): 1387-1396.
doi: 10.3724/SP.J.1042.2011.01387 |
[Zhuang C P, Zhang J X.2011. Place identity: Analysis from environmental psychology perspective. Advances in Psychological Science, 19(9): 1387-1396. ]
doi: 10.3724/SP.J.1042.2011.01387 |
|
[25] |
Benson M.2014. Trajectories of middle-class belonging: The dynamics of place attachment and classed identities[J]. Urban Studies, 51(14): 3097-3112.
doi: 10.1177/0042098013516522 |
[26] |
Coulton C, Theodos B, Turner M A.2012. Residential mobility and neighborhood change: Real neighborhoods under the microscope[J]. Cityscape, 14(3): 55-89.
doi: 10.2307/41958940 |
[27] |
Cronbach L J.1951. Coefficient alpha and the internal structure of tests[J]. Psychometrika, 16(8): 297-334.
doi: 10.1007/BF02310555 |
[28] |
Dawkins C J.2006. Are social networks the ties that bind families to neighborhoods?[J]. Housing Studies, 21(6): 867-881.
doi: 10.1080/02673030600917776 |
[29] |
Galster G, Hayes C, Johnson J.2005. Identifying robust, parsimonious neighborhood indicators[J]. Journal of Planning Education and Research, 24(3): 265-280.
doi: 10.1177/0739456X04267717 |
[30] | Goldstein S, Frey W H.1975. Residential mobility, migration, and metropolitan change [M]. Cambridge: Ballinger Publishing Company. |
[31] |
Highton B.2000. Residential mobility, community mobility, and electoral participation[J]. Political Behavior, 22(2): 109-120.
doi: 10.1023/A:1006651130422 |
[32] |
Jorgensen B S, Stedman R C.2006. A comparative analysis of predictors of sense of place dimensions: Attachment to, dependence on, and identification with lakeshore properties[J]. Journal of Environmental Management, 79(3): 316-327.
doi: 10.1016/j.jenvman.2005.08.003 pmid: 16288828 |
[33] |
Lee B A, Oropesa R S, Kanan J W.1994. Neighborhood context and residential mobility[J]. Demography, 31(2): 249-270.
doi: 10.2307/2061885 pmid: 7926188 |
[34] |
Li S M.2003. Housing tenure and residential mobility in urban China: A study of commodity housing development in Beijing and Guangzhou[J]. Urban Affairs Review, 38(4): 510-534.
doi: 10.1177/1078087402250360 |
[35] |
Slater T.2009. Missing Marcuse: On gentrification and displacement[J]. City, 13(2-3): 292-311.
doi: 10.1080/13604810902982250 |
[36] |
Temkin K, Rohe W.1996. Neighborhood change and urban policy[J]. Journal of Planning Education and Research, 15(3): 159-170.
doi: 10.1177/0739456X9601500301 |
[37] |
Williams D R, Vaske J J.2003. The measurement of place attachment: Validity and generalizability of a psychometric approach[J]. Forest Science, 49(6): 830-840.
doi: 10.1016/S1389-9341(03)00041-8 |
[38] |
Wu Q Y, Zhang X L, Waley P.2016. Jiaoyufication: When gentrification goes to school in the Chinese inner city[J]. Urban Studies, 53(16): 3510-3526.
doi: 10.1177/0042098015613234 |
[39] |
Yang Z S, Hao P, Cai J M, et al.2013. Beijing[J]. Cities, 31: 491-506.
doi: 10.1016/j.cities.2011.07.007 |
[40] |
Yang Z S, Hao P, Cai J M.2015. Economic clusters: A bridge between economic and spatial policies in the case of Beijing[J]. Cities, 42: 171-185.
doi: 10.1016/j.cities.2014.06.005 |
|