云南区域发展水平与交通系统耦合度相关性
|
摘要
区域发展水平与交通系统密切相关,利用两者的匹配关系,构建了区域发展水平与交通系统耦合度模型,对云南省16个州市交通系统与区域发展水平耦合度的空间进行分析。结果显示,云南省交通系统发展水平极化现象明显,高交通优势度区域仅有昆明市,只占总数的6.25%,中高交通优势度区占比18.75%,中等交通优势度区占比31.25%,低交通优势度区的占比则是43.75%。云南省区域发展水平极度不平衡,出现强者越强,弱者越弱的现象;高区域发展水平型区域占总州市数量的比重仅有6.25%,中高区域发展水平型占比12.5%,中等区域发展水平型占比43.75%,而低区域发展水平型区域却占了总州市数量的37.5%;云南省16个州市区域发展水平与交通系统耦合度偏高,10个州市出现高耦合现象,表明云南省区域发展水平与交通系统发展水平大体匹配。
The level of regional development was closely related to the transportation,and using their mutual relations. The coupling degree model of regional development level and traffic was constructed,through the spatial analysis of the coupling degree between transportation and regional development level in 16 prefectures or cities of Yunnan Province. Results showed that the polarization phenomenon of the development level of the traffic in Yunnan Province was obvious, the high traffic dominance area was only Kunming, which accounts for only 6.25% of the total, the middle and high traffic dominance area was18.75%, the medium traffic dominance area accounts for 31.25%, and the proportion of the low traffic dominance area was 43.75%. The level of regional development in Yunnan Province was extremely unbalanced, the stronger the strong, the weaker the weak; The high regional development level region accounts for only 6.25% of the total state and city numbers, the middle and high regional development level accounted for 12.5%, and the medium regional development level accounted for 43.75%, low regional development levels, on the other, account for 37.5% of total state or city numbers. The coupling degree between regional development level and traffic in 16 states and cities in Yunnan province was high, and the phenomenon of high coupling in 10 states or cities shows that the regional development level of Yunnan province is roughly matched with the development level of traffic.
The level of regional development was closely related to the transportation,and using their mutual relations. The coupling degree model of regional development level and traffic was constructed,through the spatial analysis of the coupling degree between transportation and regional development level in 16 prefectures or cities of Yunnan Province. Results showed that the polarization phenomenon of the development level of the traffic in Yunnan Province was obvious, the high traffic dominance area was only Kunming, which accounts for only 6.25% of the total, the middle and high traffic dominance area was18.75%, the medium traffic dominance area accounts for 31.25%, and the proportion of the low traffic dominance area was 43.75%. The level of regional development in Yunnan Province was extremely unbalanced, the stronger the strong, the weaker the weak; The high regional development level region accounts for only 6.25% of the total state and city numbers, the middle and high regional development level accounted for 12.5%, and the medium regional development level accounted for 43.75%, low regional development levels, on the other, account for 37.5% of total state or city numbers. The coupling degree between regional development level and traffic in 16 states and cities in Yunnan province was high, and the phenomenon of high coupling in 10 states or cities shows that the regional development level of Yunnan province is roughly matched with the development level of traffic.
引文
[1]金凤君,王成金,李秀伟.中国区域交通优势的甄别方法及应用分析[J].地理学报,2008,63(8):787-798.
[2]孟德友,陆玉麒.基于投影寻踪模型的河南县域交通与经济协调性评价[J].地理研究,2013,32(6):2092-2106.
[3]顾高翔,王铮.技术扩散和资本流动作用下中国区域空间结构演化——基于Agent的模拟[J].地理学报,2014,69(6):808-822.
[4]李捷.城市公共交通可达性评价研究[D].天津:天津商业大学,2012:56-59.
[5]吴威,曹有挥,曹卫东,等.长三角交通优势度的空间格局[J].地理研究,2011,30(12):2199-2208.
[6]张伟娜,胡佰林,卢庆沙.基于主体功能区划方法的长株潭城市群核心区交通优势度评价[J].经济地理,2014,34(11):63-68.
[7]孟德友,沈惊宏,陆玉麒.河南省县域交通优势度综合评价及空间格局演变[J].地理科学,2014,34(3):280-287.
[8]刘贺贺,杨青山,陈长瑶.东北地区城市效率与开发程度的时空耦合[J].经济地理,2015,35(10):64-72.
[9]冯莎莎.中国十大城市群城市效率与开发程度的时空耦合[J].现代经济信息,2017(6):11-12.
[10]刘艳军,王颖.东北地区区域开发程度演化及其资源环境影响[J].经济地理,2012,32(5):37-42.
[11]冯婧,何夏芸,罗英.云南省旅游资源空间结构研究[J].商洛学院学报,2018,32(4):72-79.
[12]赵生昌.云南山区二级公路交通安全对策研究[D].重庆:重庆交通大学,2015:36-41.
[13]孙东琪,张京祥,张明斗,等.长江三角洲城市化效率与经济发展水平的耦合关系[J].地理科学进展,2013,32(7):1060-1071.
[14]彭邦文,武友德,曹洪华,等.基于系统耦合的旅游业与新型城镇化协调发展分析——以云南省为例[J].世界地理研究,2016,25(2):103-114.
[15]郭向阳,明庆忠,穆学青,等.城市旅游业与生态文明耦合协调态势的时空演化研究——以河南省为例[J].资源开发与市场,2017,33(6):732-737,753.
[16]陈鲁雁.彝良县精准扶贫问题探究[J].中共云南省委党校学报,2016,17(2):153-157.
[17]张晓琼.外援推动与内源发展——对贫困少数民族实施缓贫与发展扶助的比较案例研究[J].满族研究,2006(1):19-27.
[2]孟德友,陆玉麒.基于投影寻踪模型的河南县域交通与经济协调性评价[J].地理研究,2013,32(6):2092-2106.
[3]顾高翔,王铮.技术扩散和资本流动作用下中国区域空间结构演化——基于Agent的模拟[J].地理学报,2014,69(6):808-822.
[4]李捷.城市公共交通可达性评价研究[D].天津:天津商业大学,2012:56-59.
[5]吴威,曹有挥,曹卫东,等.长三角交通优势度的空间格局[J].地理研究,2011,30(12):2199-2208.
[6]张伟娜,胡佰林,卢庆沙.基于主体功能区划方法的长株潭城市群核心区交通优势度评价[J].经济地理,2014,34(11):63-68.
[7]孟德友,沈惊宏,陆玉麒.河南省县域交通优势度综合评价及空间格局演变[J].地理科学,2014,34(3):280-287.
[8]刘贺贺,杨青山,陈长瑶.东北地区城市效率与开发程度的时空耦合[J].经济地理,2015,35(10):64-72.
[9]冯莎莎.中国十大城市群城市效率与开发程度的时空耦合[J].现代经济信息,2017(6):11-12.
[10]刘艳军,王颖.东北地区区域开发程度演化及其资源环境影响[J].经济地理,2012,32(5):37-42.
[11]冯婧,何夏芸,罗英.云南省旅游资源空间结构研究[J].商洛学院学报,2018,32(4):72-79.
[12]赵生昌.云南山区二级公路交通安全对策研究[D].重庆:重庆交通大学,2015:36-41.
[13]孙东琪,张京祥,张明斗,等.长江三角洲城市化效率与经济发展水平的耦合关系[J].地理科学进展,2013,32(7):1060-1071.
[14]彭邦文,武友德,曹洪华,等.基于系统耦合的旅游业与新型城镇化协调发展分析——以云南省为例[J].世界地理研究,2016,25(2):103-114.
[15]郭向阳,明庆忠,穆学青,等.城市旅游业与生态文明耦合协调态势的时空演化研究——以河南省为例[J].资源开发与市场,2017,33(6):732-737,753.
[16]陈鲁雁.彝良县精准扶贫问题探究[J].中共云南省委党校学报,2016,17(2):153-157.
[17]张晓琼.外援推动与内源发展——对贫困少数民族实施缓贫与发展扶助的比较案例研究[J].满族研究,2006(1):19-27.