Please wait a minute...
img

官方微信

遥感技术与应用  2020, Vol. 35 Issue (2): 302-314    DOI: 10.11873/j.issn.1004-0323.2020.2.0302
大数据美丽中国专栏     
轨道交通站域的城市空间演替轨迹与更新模式判定——多例比对与城市可持续发展启示
隋洪鑫1(),王江浩2,刘银喜1,邓羽2()
1.内蒙古大学公共管理学院,内蒙古 呼和浩特 010021
2.中国科学院地理科学与资源研究所, 北京 100101
Urban Functional Spatial Succession Trajectory and Determination of Renewal Mode in Rail Transit Station Area——Multiple Cases Comparisons and Sustainable Enlightenment
Hongxin Sui1(),Jianghao Wang2,Yinxi Liu1,Yu Deng2()
1.School of Public Administration, Inner Mongolia University, Hohhot, 010021, China
2.Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
 全文: PDF(6118 KB)   HTML
摘要:

轨道交通布局是优化城市与区域空间结构的重要推动力,也将加速城市空间更新。研究采用多源数据信息的内业解译与外业调研相结合的空间判定方案,基于城市空间的规模特征、职能属性、集聚模式等“三位一体”综合视阈下精细刻画轨道交通站域的城市空间演替轨迹与更新模式,研究发现:①城市中心区域型、高密度居住型、商服型站点的城市功能规模呈显著的缩减特征;②随着城市空间演替其职能属性主导化趋势显著,尤以高效益的餐饮娱乐、商务服务业态为主要功能构成;③轨道交通站域空间的城市功能呈集聚分布模式。鉴于此,面向SDG11的现实发展要求,提出我国轨道交通站域的城市空间更新应立足于回应可持续发展时代要求,兼顾经济效益与社会公平的站域空间规划;对标站域环境,构建“主导功能+混合用途”的空间可持续发展模式;精细考量功能集聚特征,激发轨道交通站域空间的持续发展活力等更新策略,以期为我国相继进入不同轨道交通发展阶段的站域空间更新及实现城市可持续发展提供重要启示和政策建议。

关键词: 轨道交通站域城市功能演替更新模式SDGS    
Abstract:

At present, the layout of rail transportation is an important driving force for optimizing the spatial structure of cities and regions and will also accelerate urban space renewal. This paper uses inter-field interpretation of multi-source data information, combining the spatial judgment scheme, Based on the comprehensive perspective of “three-dimensional integration” scale characteristics, functional attributes and agglomeration patterns of urban functional space, finely depicted urban spatial succession trajectory and update model of the rail transportation station. The study found that: (1) urban space scale showed significant reduction in urban central area, high-density residential, commercial service site;(2) urban functional succession tends to dominate the update mode, especially the high-efficiency catering and entertainment, business service format is the main function;(3) urban function of the rail transit station space is agglomerated. Taking this as a reference, it is proposed that the urban spatial renewal of China's rail transit stations should be based on responding to the development requirements of the times and stimulating the spatial vibrancy of the station; corresponding to the station environment, rational allocation of functional elements; careful considerate functional agglomeration characteristics, optimize station space structure and update spatial succession framework strategy, in order to provide important inspiration and policy recommendations for China's successive access to the station space update and planning regulation of different rail transportation development stages.

Key words: Rail transit station area    Urban function succession    Renewal model    SDGS
收稿日期: 2019-09-11 出版日期: 2020-07-10
ZTFLH:  TP79  
基金资助: 中国科学院战略性先导科技专项(A类)(XDA19040503);国家自然科学基金项目(41601164);教育部人文社会科学青年基金项目(19YJC810009);内蒙古自然科学基金项目(2015BS0706)
通讯作者: 邓羽     E-mail: suihongxin2008@163.com;dengy@igsnrr.ac.cn
作者简介: 隋洪鑫(1984-),女,内蒙古赤峰人,博士,讲师,主要从事城市空间解析与城市规划研究。E?mail:suihongxin2008@163.com
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
隋洪鑫
王江浩
刘银喜
邓羽

引用本文:

隋洪鑫,王江浩,刘银喜,邓羽. 轨道交通站域的城市空间演替轨迹与更新模式判定——多例比对与城市可持续发展启示[J]. 遥感技术与应用, 2020, 35(2): 302-314.

Hongxin Sui,Jianghao Wang,Yinxi Liu,Yu Deng. Urban Functional Spatial Succession Trajectory and Determination of Renewal Mode in Rail Transit Station Area——Multiple Cases Comparisons and Sustainable Enlightenment. Remote Sensing Technology and Application, 2020, 35(2): 302-314.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2020.2.0302        http://www.rsta.ac.cn/CN/Y2020/V35/I2/302

Fig.1  Research and analysis framework of urban spatial suc-cession trajectory and renewal model in rail transit station
图2  福冈市轨道交通线路图
类型站名乘降量人口土地利用类型
P1P2P3P4P5P6
(人/日)(人)(%)

(低密度居住型)

Group 1

贺茂3 9269 1985.646.85.36.020.42.6
次郎丸4 3537 8134.445.62.64.622.44.4
野芥5 8169 1365.545.83.86.724.34.3
名岛1 72310 1263.242.87.112.528.95.3
唐原1 0417 8266.545.40.413.426.03.4
香椎神宫1 7678 9441.156.64.912.120.14.8
舞松原1 8199 6362.551.63.412.717.88.8
和白2 03011 5437.332.97.49.118.58.6
奈多2 3977 0924.443.96.78.017.08.2
三苫3 2447 6364.542.12.913.021.410.8
周船寺9 3975 14813.641.48.37.018.78.6
土井2 1976 09613.338.31.46.321.27.7
香椎花园前2 6495 76312.943.913.110.517.81.5
箱崎宫前5 73216 9169.143.510.014.221.12.0
笠原7 38113 2077.649.44.711.721.11.8
香椎宫前2 41110 9239.538.84.020.322.94.2
樱坂2 53210 7813.249.06.723.413.93.7
平均3 5549 2817.045.05.011.021.05.0

(产业型)

Group 2

竹下10 12616 0545.833.95.66.126.321.6
今宿8 5458 4846.935.91.910.418.823.5
雁巢6683 1471.538.88.46.519.421.5
西户崎1 6792 5065.535.012.97.519.419.6
桥本4 6112 7192.519.24.09.520.614.2
下山门4 2777 7772.128.94.61.819.537.9
平均4 9846 7814.032.06.07.021.023.0

(公共服务型)

Group 3

福大前10 9076 0513.725.544.38.914.02.2
马出九大医院前8 09614 3415.019.242.712.019.21.9
箱崎九大前6 6369 0647.924.834.27.319.36.0
七隈6 3519 1873.832.840.54.315.12.0
九产大前12 46312 7903.436.622.26.019.54.8
梅林1 9755 9782.438.021.07.521.23.5
平均7 7389 5694.029.034.08.018.03.0

(高密度居住型)

Group 4

唐人町16 52316 6593.555.414.95.120.40.7
高宫18 74815 9385.850.413.07.420.72.5
藤崎19 79728 8932.747.615.96.125.42.3
雑餉隈15 48820 08110.045.75.68.524.34.0
茶山3 25212 0244.157.914.13.717.22.3
金山4 56413 3863.766.73.44.119.41.7
六本松6 20017 5615.545.813.811.221.42.1
别府7 21919 6134.156.112.64.921.21.0
西铁平尾11 91221 95311.149.05.25.726.03.1
薬院大通4 14821 72113.642.312.67.120.14.2
平均10 78518 7836.052.011.06.022.02.0

(商服型)

Group 5

祗园11 8338 24523.813.310.917.130.54.2
吴服町5 43811 11422.916.99.412.435.42.8
千代县厅口6 27711 46015.021.719.611.729.62.5
渡辺通4 55117 35422.131.64.79.427.54.7
东比惠16 17313 10228.416.77.58.726.110.2
南福冈16 7488 8409.733.86.68.631.69.7
箱崎8 19719 6059.433.15.211.430.48.9
贝塚15 9076 4635.425.67.212.138.610.2
室见13 73416 3913.149.01.57.533.95.0
千早14 0499 0257.023.015.527.125.12.2
吉塚19 66618 08810.424.221.014.324.74.6
大濠公园14 52315 2855.016.88.236.232.51.3
平均12 25812 91414.025.010.015.030.06.0
全体平均7 86411 4667.036.613.29.422.47.8
表1  轨道交通站点类型特征的数据统计
图3  轨道交通站域的城市功能空间规模与梯度演替分布图
年份医疗卫生综合零售生活服务商业服务文教服务餐饮娱乐商务服务
规模(%)规模(%)规模(%)规模(%)规模(%)规模(%)规模(%)
中心区域型井尻199035(10.4)39(11.5)38(11.2)25(7.4)20(5.9)89(26.3)92(27.2)
200049(12.7)48(12.4)37(9.6)27(7.0)20(5.2)94(24.4)111(28.8)
201042(12.8)28(8.5)36(10.9)24(7.3)8(2.4)87(26.4)104(31.6)
香椎199041(11.2)39(10.7)39(10.7)19(5.2)27(7.4)102(27.9)98(26.8)
200052(12.6)45(10.9)35(8.5)19(4.6)34(8.2)126(30.4)103(24.9)
201051(16.2)32(10.2)16(5.1)9(2.9)13(4.1)81(25.8)112(35.7)
福工大前199014(10.7)13(9.9)14(10.7)6(4.6)4(3.1)45(34.4)35(26.7)
200016(12.3)16(12.3)10(7.7)9(6.9)5(3.8)39(30.0)35(26.9)
201026(15.8)18(10.9)7(4.2)6(3.6)4(2.4)58(35.2)46(27.9)
低密度居住型和白199012(13.8)10(11.5)5(5.7)4(4.6)6(6.9)23(26.4)27(31.0)
200012(10.6)10(8.8)11(9.7)2(1.8)9(8.0)39(34.5)30(26.5)
201014(10.9)14(10.9)7(5.5)3(2.3)6(4.7)44(34.4)40(31.3)
箱崎宫前199030(9.4)14(4.4)54(17.0)66(20.8)16(5.0)68(21.4)70(22.0)
200023(8.3)20(7.2)37(13.4)50(18.1)19(6.9)69(25.0)58(21.0)
201025(10.3)20(8.2)27(11.1)25(10.3)18(7.4)66(27.2)62(25.5)
产业型竹下19909(7.8)10(8.6)19(16.4)8(6.9)5(4.3)26(22.4)39(33.6)
20009(7.8)9(7.8)21(18.3)10(8.7)4(3.5)29(25.2)33(28.7)
201020(15.6)7(5.5)17(13.3)4(3.1)8(6.3)31(24.2)41(32.0)
今宿199012(9.3)14(10.9)15(11.6)13(10.1)12(9.3)25(19.4)38(29.5)
200019(11.7)16(9.9)18(11.1)14(8.6)9(5.6)38(23.5)48(29.6)
201023(17.7)10(7.7)8(6.2)7(5.4)5(3.8)34(26.2)43(33.1)
公共服务型九产大前19909(9.5)2(2.1)13(13.7)9(9.5)7(7.4)33(34.7)22(23.2)
20009(9.6)3(3.2)4(4.3)3(3.2)4(4.3)44(46.8)27(28.7)
201014(12.8)2(1.8)3(2.8)8(7.3)5(4.6)46(42.2)31(28.4)
马出九大医院前199029(10.5)16(5.8)41(14.9)50(18.2)20(7.3)60(21.8)59(21.5)
200020(9.2)19(8.8)30(13.8)32(14.7)19(8.8)54(24.9)43(19.8)
201024(12.1)24(12.1)23(11.6)13(6.5)4(2.0)65(32.7)46(23.1)
高密度居住型藤崎199040(14.2)30(10.6)36(12.8)14(5.0)18(6.4)65(23.0)79(28.0)
200044(14.5)30(9.9)31(10.2)20(6.6)20(6.6)73(24.0)86(28.3)
201054(18.9)23(8.0)19(6.6)14(4.9)12(4.2)68(23.8)96(33.6)
雑餉隈199051(8.2)70(11.2)69(11.1)56(9.0)38(6.1)219(35.1)121(19.4)
200067(11.2)52(8.7)49(8.2)43(7.2)31(5.2)235(39.4)119(20.0)
201066(12.6)34(6.5)53(10.1)33(6.3)14(2.7)217(41.5)106(20.3)
商服型东比惠199018(8.0)38(17.0)31(13.8)10(4.5)20(8.9)49(21.9)58(25.9)
200016(11.2)19(13.3)14(9.8)7(4.9)11(7.7)36(25.2)40(28.0)
201022(9.6)30(13.1)19(8.3)7(3.1)18(7.9)43(18.8)90(39.3)
吉塚199031(10.3)13(4.3)47(15.7)73(24.3)22(7.3)53(17.7)61(20.3)
200027(10.2)11(4.2)48(18.1)49(18.5)20(7.5)50(18.9)60(22.6)
201025(13.5)15(8.1)33(17.8)22(11.9)10(5.4)39(21.1)41(22.2)
表2  轨道交通站域的城市功能演替变化
站名1990年2000年2010年
R值R值1990年比R值2000年比1990年比
变化变化变化
井尻0.5880.5960.008×0.576-0.020-0.012
香椎0.5480.5650.017×0.470-0.095-0.078
福工大前0.5050.485-0.0200.5120.027×0.006×
和白0.5540.481-0.0730.5170.036×-0.037
箱崎宮前0.6390.629-0.0100.6310.002×-0.009
竹下0.5630.5780.015×0.504-0.074-0.059
今宿0.6160.597-0.0190.6550.058×0.039×
马出九大病院前0.4590.424-0.0350.397-0.027-0.062
九产大前0.5520.5620.010×0.545-0.017-0.007
藤崎0.5830.5900.007×0.485-0.105-0.098
雑餉隈0.6370.608-0.0290.591-0.017-0.045
东比恵0.7350.7520.017×0.593-0.159-0.142
吉塚0.7260.7300.004×0.671-0.059-0.055
均值0.5930.584-0.0080.550-0.035-0.043
表3  轨道交通站域的城市功能集聚模式分析
功能业态医疗卫生综合零售生活服务商业服务文教服务餐饮娱乐商务服务
医疗卫生0.761
综合零售0.7360.827
生活服务0.8400.8190.675
商业服务0.7480.6660.6490.724
文教服务0.8420.7800.6510.7520.633
餐饮娱乐0.7700.7480.7100.6310.7910.451
商务服务0.9600.8671.0000.9000.9770.8960.594
表4  轨道交通站域的城市功能业态集聚模式分析
1 U N. Transforming Our World: The 2030 Agenda for Sustainable Development[M]. New York:United Nations,2015.
2 Wang Penglong, Gao Feng, Huang Chuilin, et al. Progresson Sustainable City Assessment Index System for SDGS[J]. Remote Sensing Technology and Application, 2018, 33(5): 784-792.
2 王鹏龙, 高峰, 黄春林, 等.面向SDGS的城市可持续发展评价指标体系进展研究[J]. 遥感技术与应用, 2018, 33(5): 784-792.
3 Wang Juanle, Cheng Kai, Bian Lingling, et al. Integration Framework and Key Technology of Big Earth Data for SDGS and Beautiful China Evaluation[J]. Remote Sensing Technology and Application, 2018, 33(5): 775-792.
3 王卷乐, 程凯, 边玲玲, 等. 面向SDGS和美丽中国评价的地球大数据集成框架与关键技术[J]. 遥感技术与应用, 2018, 33(5): 775-783.
4 Gao Feng, Zhao Xueyan, Song Xiaoyu, et al. Connotation and Evaluation Index System of Beautiful China for SDGs[J]. Advances in Earth Science,2019, 34(3): 295-305.
4 高峰, 赵雪雁, 宋晓谕, 等. 面向SDGs的美丽中国内涵与评价指标体系[J]. 地球科学进展, 2019, 34(3): 295-305.
5 Guan Ting, Xue Lan.How the SDGs are Implemented in Different Countries?[J]. China Population, Resources and Environment,2019,29(1): 11-20.
5 关婷, 薛澜. 世界各国是如何执行全球可持续发展目标(SDGs)的?[J]. 中国人口·资源与环境, 2019, 29(1): 11-20.
6 Zhu Jing, Sun Xinzhang, He Zheng. Research on China’s Sustainable Development Evaluation Indicators in the Framework of SDGs[J]. China Population,Resources and Environment, 2018, 28(12): 9-18.
6 朱婧, 孙新章, 何正. SDGs框架下中国可持续发展评价指标研究[J]. 中国人口·资源与环境, 2018, 28(12): 9-18.
7 Tang Yiliang. Rail Transit will Cover China's Major Cities by 2020[EB/OL].
7 汤一亮.2020年轨道交通将覆盖中国主要大城市[EB/OL].中国新闻网, ,2012-11-09.
8 Ren Lijian, Yun Yingxia, Quan Haiyuan. Study on Classification and Characteristics of Urban Rail Transit Station based on Node-Place Model: Empirical Analysis and Experience Enlightenment of Singapore[J]. Urban Planning International, 2016(1): 109-116.
8 任利剑, 运迎霞, 权海源.基于“节点—场所模型”的城市轨道站点类型及其特征研究——新加坡的实证分析与经验启示[J].国际城市规划, 2016(1): 109-116.
9 Hong Shijian,Zhang Jingxiang. Transport Infrastructure and Urban Spatial Growth: based on Urban Economics[J]. City Planning Review, 2010, 34(5):29-34.
9 洪世键, 张京祥. 交通基础设施与城市空间增长——基于城市经济学的视角[J]. 城市规划, 2010, 34(5): 29-34.
10 Chen Feng, Liu Jinling, Shi Zhongheng. Rail Transit Constructing Beijing Urban Sptial Structure[J]. City Planning Review, 2006(6): 36-39.
10 陈峰, 刘金玲, 施仲衡. 轨道交通构建北京城市空间结构[J]. 城市规划, 2006(6): 36-39.
11 Wang Teng, Cao Xinjian. Strategies about Urban Redevelopment in Urban Rail Transit Station Areas——based on Case Studies of Domestic and Foreign Large Cities[J]. Urban Mass Transit, 2011(11): 33-39.
11 王腾, 曹新建. 轨道交通站点地区的城市更新策略——基于中外大城市实践的横向比较[J]. 城市轨道交通研究, 2011(11): 33-39.
12 Bertolini L. Nodes and Places: Complexities of Railway Station Redevelopment[J]. European Planning Studies, 1996, 4(3): 331-345.
13 Shan Zhuoran, Huang Yaping. Fallacy and Planning Strategies on Land-use of Rail Transit Site Area[J]. Economic Geography, 2013, 33(12): 154-160.
13 单卓然, 黄亚平. 轨道交通站点地区土地利用谬误及规划响应策略[J]. 经济地理, 2013, 33(12): 154-160.
14 Feng Changchun, Li Weixuan,Zhao Fanfan. Influence of Rail Transit on Nearby Commodity Housing Prices: A Case Study of Beijing Subway Line Five[J]. Acta Geographica Sinica, 2011, 66(8): 1055-1062.
14 冯长春, 李维瑄, 赵蕃蕃. 轨道交通对其沿线商品住宅价格的影响分析——以北京地铁5号线为例[J]. 地理学报, 2011, 66(8): 1055-1062.
15 Gu Yizhen, Zheng Siqi. The Impacts of Rail Transit on Property Values and Land Development Intensity: The Case of No.13 Line in Beijing[J]. Acta Geographica Sinica, 2010, 65(2): 213-223.
15 谷一桢, 郑思齐. 轨道交通对住宅价格和土地开发强度的影响——以北京市13号线为例[J]. 地理学报, 2010, 65(2): 213-223.
16 Chen Weishan, Liu Lin, Liang Yutian. Characterizing the Spatio-temporal Evolution of Retail Business at Transfer Hubs of Guangzhou Metro[J]. Acta Geographica Sinica, 2015, 70(6): 879-892.
16 陈蔚珊, 柳林, 梁育填. 广州轨道交通枢纽零售业的特征聚类及时空演变[J]. 地理学报, 2015, 70(6): 879-892.
17 Ratner K A, Goetz A R. The Reshaping of Land Use and Urban form in Denver Through Transit-oriented Development[J]. Cities, 2013 (30): 31-46.
18 Sung H, Choi K, Lee S, et al. Exploring the Impacts of Land Use by Service Coverage and Station-level Accessibility on Rail Transit Ridership[J]. Journal of Transport Geography, 2014(36): 134-140.
19 Tan Zhangzhi, Li Shaoying, Li Xia, et al. Spatio-temporal Effects of Urban Fail Transit on Complex Landuse Change[J]. Acta Geographica Sinica, 2017, 72(5): 850-862.
19 谭章智, 李少英, 黎夏, 等. 城市轨道交通对土地利用变化的时空效应[J]. 地理学报, 2017, 72(5): 850-862.
20 Lin Xiongbin, Liu Jian, Tian Zongxing, et al. The Temporal-Spatial Effects of Rail Transit on Development Density and Land Value: A Case Study of Shenzhen, China[J]. Economic Geography, 2016, 36(9): 27-34.
20 林雄斌, 刘健, 田宗星, 等. 轨道交通引导用地密度与地价的时空效应——以深圳市为例[J]. 经济地理, 2016, 36(9): 27-34.
21 Nie Chong, Wen Haizhen, Fan Xiaofeng. The Spacial and Temporal Effect on Property Value Increment with the Development of Urban Rapid Rail Transit: An Empirical Research[J]. Geographical Research, 2010, 29(5): 801-810.
21 聂冲, 温海珍, 樊晓锋. 城市轨道交通对房地产增值的时空效应[J]. 地理研究, 2010, 29(5): 801-810.
22 Deng Yu. The Spatial Succession and Organization Model of the Urban Material Space Within the Rail Transit Station: A Case in Beijing[J]. Scientia Geographica Sinica, 2017, 37(6): 817-824.
22 邓羽. 轨道交通站域的城市物质空间更新轨迹与组织模式——以北京为例[J]. 地理科学, 2017, 37(6): 817-824.
23 Fang Xiangyang, Chen Zhongnuan. The Distribution Pattern and Its Cause of Retailing Business Along The Subway in Guangzhou[J]. Human Geography, 2004,34(6): 11-16.
23 方向阳, 陈忠暖. 广州地铁沿线零售商业形态与空间分布探讨[J]. 人文地理, 2004,34(6): 11-16.
24 Chen Zhongnuan, Fen Yue, Jiang Jin. The Commercial Agglomeration and Influencing Factors of Nearby Subway Station[J]. Journal of South China Normal University(Natural Science Edition), 2013, 45(6): 189-196.
24 陈忠暖, 冯越, 江锦. 地铁站点周边的商业集聚及其影响因素[J]. 华南师范大学学报(自然科学版), 2013, 45(6): 189-196.
25 Fang Xiangyang, Chen Zhongnuan, Cai Guotian. Agglom Erative Types of Retail Business around Subway Stations in Guangzhou[J]. Tropical Geography, 2005,25(1): 49-53.
25 方向阳, 陈忠暖, 蔡国田. 广州地铁站口零售商业集聚类型分析[J]. 热带地理, 2005,25(1): 49-53.
26 Zhen Maocheng, Zhang Jingqiu, Zhu Haiyong. Effect of Metro Transfer Stations on Office Space Agglomeration in Beijing[J]. Progress in Geography, 2014, 33(4): 499-507.
26 甄茂成, 张景秋, 朱海勇. 北京轨道交通换乘站点对办公空间集聚的影响[J]. 地理科学进展, 2014, 33(4): 499-507.
27 Zhou Wentong, Sun Tieshan, Lu Jun. Employment Growth in Beijing and Dynamic Influence of Rail Transit: A Case Study based on DSP Model[J]. Population and Development, 2017, 23(4): 22-29+40.
27 周文通, 孙铁山, 陆军. 北京就业人口增长与轨道交通动态影响:基于DSP模型的研究[J]. 人口与发展, 2017, 23(4): 22-29+40.
29 Zhang Chun, Xia Haishan, Song Yan. Urban Metro Transit Lead Urban Form Changes: Case Study of Beijing[J]. Urban Development Studies, 2016, 23(9): 107-112, 157.
29 张纯, 夏海山, 宋彦. 轨道交通带动下的城市形态演变——以北京为例[J]. 城市发展研究, 2016, 23(9): 107-112, 157.
30 Bertolini L. Nodes and Places: Complexities of Railway Station Redevelopment[J]. European Planning Studies, 1996, 4(3): 331-345.
31 Condeco-Melhorado A, Tillema T, Jong T D, et al. Distributive Effects of New Highway Infrastructure in the Netherlands: The Role of Network Effects and Spatial Spillovers[J]. Journal of Transport Geography, 2014(34): 96-105.
32 Paul W. Integrated Land Use and Transportation Planning and Modelling: Addressing Challenges in Research and Practice[J]. Transport Reviews,2011(2): 209-229.
33 Wang Yuqu, Chen Zhongnuan, Huang Xiaobing, et al. Relationship between Metro Flow and Business Agglomeration Scale on Station Site Business Circle: A Case Study of Guangzhou Based on Data of 15 Stations[J]. Journal of South China Normal University(Natural Science Edition), 2015, 47(5): 134-139.
33 王宇渠, 陈忠暖, 黄晓冰, 等.地铁流动性与站点商圈商业集聚规模耦合关系研究——基于广州15个地铁站点的数据分析[J]. 华南师范大学学报(自然科学版), 2015, 47(5): 134-139.
34 Cai Xiaomin, Yang Daliang, Ran Shaohui. Research on the Influence of Rail Transit on Urban Spatial Development——Take Zhengzhou Metro as an Example[J]. Chinese & Overseas Architecture, 2019(4): 119-122.
34 蔡晓敏, 杨大亮, 冉绍辉. 轨道交通对城市空间发展的影响研究——以郑州市地铁为例[J]. 中外建筑, 2019(4): 119-122.
35 Cao Qingfeng, Chang Wenjun.Developm ent History and Experience Enlightenment of Japanese Rail Transit[J]. Transport Research, 2019, 5(3): 10-17.
35 曹庆锋, 常文军. 日本轨道交通发展历程及经验启示[J]. 交通运输研究, 2019, 5(3): 10-17.]
36 Thompson H R. Distribution of Distance to nth Neighbour in a Population of Randomly Distributed Individuals[J]. Ecology,1956(37): 391-394.
37 Clark P J, Evans F C. Distance to Nearest Neighbor as a Measure of Spatial Relationships in Populations[J]. Ecology, 1954(35): 445-453.
38 King L J. A Quantitative Expression of the Patterns of Urban Settlement in Selected Areas of the United States[J]. Tijdschrift Uoor Economische en Sociale Geografie,1962(53):1-7.
39 Lee Y.A Nearest-neighbor Spatial-association Measure for the Analysis of Firm Interdependence[J]. Environment and Planning A, 1979(11): 169-176.
40 Shen Qingxi, Li Chenggu, Sun Ya'nan, et al. Evolution of New Urban Space based on the Use Land and Population Analysis-A Case Study of Changchun[J]. Economic Geography, 2018, 38(6): 44-51.
40 申庆喜, 李诚固, 孙亚南, 等. 基于用地与人口的新城市空间演变及驱动因素分析——以长春市为例[J]. 经济地理, 2018, 38(6): 44-51.
41 Qiu Baoxing. Challenges Faced by China in Its Rapid Urbanization Process in the Near Future[J]. Urban Development Studies, 2003, 10(6): 1-15.
41 仇保兴. 我国城镇化高速发展期面临的若干挑战[J]. 城市发展研究, 2003, 10(6): 1-15.
42 Han Gang, Yuan Jiadong, Zhang Xuan, et al. The Mechanism of Compact City Spatial Structure on Energy Consumption: An Empirical Research based on Jiangsu Province[J]. Scientia Geographica Sinica, 2019, 39(7): 1147-1154.
42 韩刚, 袁家冬, 张轩, 等. 紧凑城市空间结构对城市能耗的作用机制——基于江苏省的实证研究[J]. 地理科学, 2019, 39(7):1147-1154.
43 Wu Qiuqing. The Exploration on the Dynamic Programming of Community in Megacities from the Living Circle Perspective[J]. Shanghai Urban Planning Review, 2015(4): 13-19.
43 吴秋晴. 生活圈构建视角下特大城市社区动态规划探索[J]. 上海城市规划, 2015(4): 13-19.
[1] 李雷,郑兴明,赵凯,李晓峰,王广蕊. 基于CCI土壤水分产品的干旱指数精度评价及其对东北地区粮食产量的影响[J]. 遥感技术与应用, 2020, 35(1): 111-119.
[2] 张新平,乔治,李皓,闫杰,张芳芳,赵栋锋,王得祥,康海斌,杨航,冯扬. 基于Landsat影像和不规则梯形方法遥感反演延安城市森林表层土壤水分[J]. 遥感技术与应用, 2020, 35(1): 120-131.
[3] 王树果, 马春锋, 赵泽斌, 魏龙. 基于Sentinel-1及Landsat 8数据的黑河中游农田土壤水分估算[J]. 遥感技术与应用, 2020, 35(1): 13-22.
[4] 郑贵洲,熊良超,廖艳雯,王红平. 利用MODIS数据反演南海南部海表温度及时空变化分析[J]. 遥感技术与应用, 2020, 35(1): 132-140.
[5] 程春梅,韦玉春,李渊,涂乾光. 太湖水体GF-1/WFV影像的6S逐像元大气校正[J]. 遥感技术与应用, 2020, 35(1): 141-152.
[6] 刘俊,孟庆岩,葛小三,刘顺喜,陈旭,孙云晓. 基于BP神经网络的夏玉米多生育期叶面积指数反演研究[J]. 遥感技术与应用, 2020, 35(1): 174-184.
[7] 董世元,张文娟,许君一,马建行. ESTARFM相似像元选取方法的改进研究[J]. 遥感技术与应用, 2020, 35(1): 185-193.
[8] 郑宗生,胡晨雨,黄冬梅,邹国良,刘兆荣,宋巍. 基于迁移学习及气象卫星云图的台风等级分类研究[J]. 遥感技术与应用, 2020, 35(1): 202-210.
[9] 罗家顺,邱建秀,赵天杰,王大刚. 基于Sentinel-1数据的黑河中游土壤水分反演[J]. 遥感技术与应用, 2020, 35(1): 23-32.
[10] 康重阳,赵军,宋国富,包山虎. 基于OMI/OMPS中国季风区大气边界层SO2时空格局分析[J]. 遥感技术与应用, 2020, 35(1): 233-244.
[11] 王一帆,徐涵秋. 利用MODIS EVI时间序列数据分析福建省植被变化(2000~2017年)[J]. 遥感技术与应用, 2020, 35(1): 245-254.
[12] 于丽君,聂跃平,杨林,朱建峰,孙雨,刘芳,高华光. 新疆轮台奎玉克协海尔古城空间考古综合研究[J]. 遥感技术与应用, 2020, 35(1): 255-266.
[13] 陆峥,韩孟磊,卢麾,彭雪婷,蒙莎莎,刘进,杨晓帆. 基于AMSR2多频亮温的黑河流域中上游土壤水分估算研究[J]. 遥感技术与应用, 2020, 35(1): 33-47.
[14] 陈家利,郑东海,庞国锦,李新. 基于SMAP亮温数据反演青藏高原玛曲区域土壤未冻水[J]. 遥感技术与应用, 2020, 35(1): 48-57.
[15] 陈勇强,杨娜,胡新,佟明远. SMOS与SMAP过境时段表层土壤水分的稳定性研究[J]. 遥感技术与应用, 2020, 35(1): 58-64.