黄河流域县域交通供给格局及其空间适配性

doi:10.18306/dlkxjz.2022.11.004

Abstract

Abstract:

The analysis of the characteristics of transport condition and its spatial matching with economic and social development in the Yellow River Basin is of great importance for optimizing the allocation of transport resources and improving the adaptability of transport supply. Using comprehensive transportation and socioeconomic data of the Yellow River Basin, this study analyzed the spatial pattern of transport condition at the county level and examined the spatial matching between transportation and county development quality in the basin. The results show that: The transport condition needs to be improved, and transport condition shows some mismatch with population and GDP, respectively. Counties with high level of development of transportation are concentrated along the Jinan-Zhengzhou-Xi'an-Lanzhou corridor. The spatial equity of transport supply is higher than that of economic and social development in the basin. At the zonal level, transport condition demonstrates a declining trend from the east-west Longhai-Lanxin zone to the big bent extending to the east and west, and then to the north-south zone. Fixed assets investment, industrial structure, urbanization, and economic foundation are the main factors that affect the transport condition at the county level in the basin. Furthermore, transport condition at the big bent extending to the east and west and the north-south zones are also restricted by natural factors such as elevation and slope. Of all the counties in the basin, 40.05% are in the basic matching state between transport supply and socioeconomic development. Meanwhile, 38.78% of all the counties belong to the transport disadvantage type, which are concentrated on the Qinghai-Tibet Plateau, the gully region of the Loess Plateau, and central and western Inner Mongolia Autonomous Region. Therefore, it is urgent to improve the support and guarantee capacity of transport facilities for the economic and social development of these counties.

Key words: transport condition, quality of county development, spatial matching, Yellow River Basin

LI Tao, CUI Leibo, LI Jiyuan, CHEN Huiling, CAO Xiaoshu. Spatial pattern of transport condition and its matching with county development in the Yellow River Basin[J].PROGRESS IN GEOGRAPHY, 2022, 41(11): 2030-2043.

Figures/Tables 12

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References 32

[1]	金凤君. 黄河流域生态保护与高质量发展的协调推进策略[J]. 改革, 2019(11): 33-39.
	[ Jin Fengjun. Coordinated promotion strategy of ecological protection and high-quality development in the Yellow River Basin. Reform, 2019(11): 33-39. ]
[2]	马海涛, 徐楦钫. 黄河流域城市群高质量发展评估与空间格局分异[J]. 经济地理, 2020, 40(4): 11-18.
	[ Ma Haitao, Xu Xuanfang. High-quality development assessment and spatial heterogeneity of urban agglomeration in the Yellow River Basin. Economic Geography, 2020, 40(4): 11-18. ]
[3]	陆大道, 孙东琪. 黄河流域的综合治理与可持续发展[J]. 地理学报, 2019, 74(12): 2431-2436. doi: 10.11821/dlxb201912001
	[ Lu Dadao, Sun Dongqi. Development and management tasks of the Yellow River Basin: A preliminary understanding and suggestion. Acta Geographica Sinica, 2019, 74(12): 2431-2436. ] doi: 10.11821/dlxb201912001
[4]	杨永春, 穆焱杰, 张薇. 黄河流域高质量发展的基本条件与核心策略[J]. 资源科学, 2020, 42(3): 409-423. doi: 10.18402/resci.2020.03.01
	[ Yang Yongchun, Mu Yanjie, Zhang Wei. Basic conditions and core strategies of high-quality development in the Yellow River Basin. Resources Science, 2020, 42(3): 409-423. ] doi: 10.18402/resci.2020.03.01
[5]	苗长虹, 张佰发. 黄河流域高质量发展分区分级分类调控策略研究[J]. 经济地理, 2021, 41(10): 143-153.
	[ Miao Changhong, Zhang Baifa. Regulation strategy of zoning-gradation-classification for high-quality development in the Yellow River Basin. Economic Geography, 2021, 41(10): 143-153. ]
[6]	林江彪, 王亚娟, 张小红, 等. 黄河流域城市资源环境效率时空特征及影响因素[J]. 自然资源学报, 2021, 36(1): 208-222.
	[ Lin Jiangbiao, Wang Yajuan, Zhang Xiaohong, et al. Spatial and temporal characteristics and influencing factors of urban resources and environmental efficiency in the Yellow River Basin. Journal of Natural Resources, 2021, 36(1): 208-222. ] doi: 10.31497/zrzyxb.20210114
[7]	莫惠斌, 王少剑. 黄河流域县域碳排放的时空格局演变及空间效应机制[J]. 地理科学, 2021, 41(8): 1324-1335. doi: 10.13249/j.cnki.sgs.2021.08.003
	[ Mo Huibin, Wang Shaojian. Spatio-temporal evolution and spatial effect mechanism of carbon emission at county level in the Yellow River Basin. Scientia Geographica Sinica, 2021, 41(8): 1324-1335. ] doi: 10.13249/j.cnki.sgs.2021.08.003
[8]	方创琳. 黄河流域城市群形成发育的空间组织格局与高质量发展[J]. 经济地理, 2020, 40(6): 1-8.
	[ Fang Chuanglin. Spatial organization pattern and high-quality development of urban agglomeration in the Yellow River Basin. Economic Geography, 2020, 40(6): 1-8. ] doi: 10.2307/142170
[9]	邓祥征, 杨开忠, 单菁菁, 等. 黄河流域城市群与产业转型发展[J]. 自然资源学报, 2021, 36(2): 273-289.
	[ Deng Xiangzheng, Yang Kaizhong, Shan Jingjing, et al. Urban agglomeration and industrial transformation and development in the Yellow River Basin. Journal of Natural Resources, 2021, 36(2): 273-289. ] doi: 10.31497/zrzyxb.20210201
[10]	胡志强, 苗长虹, 熊雪蕾, 等. 产业集聚对黄河流域工业韧性的影响研究[J]. 地理科学, 2021, 41(5): 824-831. doi: 10.13249/j.cnki.sgs.2021.05.010
	[ Hu Zhiqiang, Miao Changhong, Xiong Xuelei, et al. Influence of industrial agglomeration on the industrial resilience of the Yellow River Basin. Scientia Geographica Sinica, 2021, 41(5): 824-831. ] doi: 10.13249/j.cnki.sgs.2021.05.010
[11]	汪芳, 苗长虹, 刘峰贵, 等. 黄河流域人居环境的地方性与适应性: 挑战和机遇[J]. 自然资源学报, 2021, 36(1): 1-26.
	[ Wang Fang, Miao Changhong, Liu Fenggui, et al. The locality and adaptability of human settlements in the Yellow River Basin: Challenges and opportunities. Journal of Natural Resources, 2021, 36(1): 1-26. ] doi: 10.31497/zrzyxb.20210101
[12]	覃成林, 樊双涛. 黄河流域空间发展格局演进特征及优化研究[J]. 经济问题, 2021(9): 104-110.
	[ Qin Chenglin, Fan Shuangtao. The evolution and optimization of the spatial development pattern in the Yellow River Basin. On Economic Problems, 2021(9): 104-110. ]
[13]	樊杰, 王亚飞, 王怡轩. 基于地理单元的区域高质量发展研究: 兼论黄河流域同长江流域发展的条件差异及重点[J]. 经济地理, 2020, 40(1): 1-11.
	[ Fan Jie, Wang Yafei, Wang Yixuan. High quality regional development research based on geographical units: Discuss on the difference in development conditions and priorities of the Yellow River Basin compared to the Yangtze River Basin. Economic Geography, 2020, 40(1): 1-11. ] doi: 10.2307/142170
[14]	王铮, 丁冠群, 吴乐英, 等. 黄河流域区域发展优势与经济带生成可能[J]. 中国人口·资源与环境, 2021, 31(2): 111-118.
	[ Wang Zheng, Ding Guanqun, Wu Leying, et al. Regional development advantages of the Yellow River Basin and the possibility of economic zone formation. China Population, Resources and Environment, 2021, 31(2): 111-118. ]
[15]	金凤君, 林英华, 马丽, 等. 黄河流域战略地位演变与高质量发展方向[J]. 兰州大学学报(社会科学版), 2022, 50(1): 1-12.
	[ Jin Fengjun, Lin Yinghua, Ma Li, et al. Evolution of the strategic position and high-quality development direction of the Yellow River Basin. Journal of Lanzhou University (Social Sciences), 2022, 50(1): 1-12. ]
[16]	唐永超, 王成新, 王瑞莉, 等. 黄河流域区域交通与经济发展的空间关联研究[J/OL]. 经济地理, 2020-10-14. http://kns.cnki.net/kcms/detail/43.1126.k.20201014.1342.002.html.
	[ Tang Yongchao, Wang Chengxin, Wang Ruili, et al. Study on the spatial correlation of regional transportation and economic development in the Yellow River Basin. Economic Geography, 2020-10-14. http://kns.cnki.net/kcms/detail/43.1126.k.20201014.1342.002.html. ]
[17]	伍杰源, 戴新鎏, 陆瑶, 等. 黄河流域铁路网高质量发展对策研究[J]. 铁道经济研究, 2022(1): 6-10.
	[ Wu Jieyuan, Dai Xinliu, Lu Yao, et al. Research on high quality development strategy of railway network in the Yellow River Basin. Railway Economics Research, 2022(1): 6-10. ]
[18]	曹小曙, 阎小培. 经济发达地区交通网络演化对通达性空间格局的影响: 以广东省东莞市为例[J]. 地理研究, 2003, 22(3): 305-312.
	[ Cao Xiaoshu, Yan Xiaopei. The impact of the evolution of land network on spatial structure of accessibility in the developed areas: The case of Dongguan City in Guangdong Province. Geographical Research, 2003, 22(3): 305-312. ]
[19]	李涛, 曹小曙, 黄晓燕. 珠江三角洲交通通达性空间格局与人口变化关系[J]. 地理研究, 2012, 31(9): 1661-1672.
	[ Li Tao, Cao Xiaoshu, Huang Xiaoyan. The relationship between spatial structure of accessibility and population change in Pearl River Delta. Geographical Research, 2012, 31(9): 1661-1672. ] doi: 10.11821/yj2012090012
[20]	Gutiérrez J. Location, economic potential and daily accessibility: An analysis of the accessibility impact of the high-speed line Madrid-Barcelona-French border[J]. Journal of Transport Geography, 2001, 9(4): 229-242. doi: 10.1016/S0966-6923(01)00017-5
[21]	吴旗韬, 张虹鸥, 孙威, 等. 基于矢量—栅格集成法的厦深高铁影响空间分布: 以广东东部地区为例[J]. 地理科学进展, 2015, 34(6): 707-715. doi: 10.18306/dlkxjz.2015.06.006
	[ Wu Qitao, Zhang Hong'ou, Sun Wei, et al. Influence of the Xiamen-Shenzhen high-speed railways on accessibility and regional development: A case study of eastern Guangdong Province. Progress in Geography, 2015, 34(6): 707-715. ] doi: 10.18306/dlkxjz.2015.06.006
[22]	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.
	[ Jin Fengjun, Wang Chengjin, Li Xiuwei. Discrimination method and its application analysis of regional transport superiority. Acta Geographica Sinica, 2008, 63(8): 787-798. ] doi: 10.11821/xb200808001
[23]	李涛, 黄晓燕, 曹小曙. 珠江三角洲陆路运输网络效率测度及其演化[J]. 人文地理, 2014, 29(2): 76-82.
	[ Li Tao, Huang Xiaoyan, Cao Xiaoshu. Measurement of transport network efficiency and measurement and its evolution in the Pearl River Delta. Human Geography, 2014, 29(2): 76-82. ]
[24]	程佳佳, 王成金, 刘卫东. 西北地区交通优势度格局及空间分异[J]. 地球科学进展, 2016, 31(2): 192-205. doi: 10.11867/j.issn.1001-8166.2016.02.0192.
	[ Cheng Jiajia, Wang Chengjin, Liu Weidong. Distribution configuration and spatial differentiation of transport superiority degree in Northwest China. Advances in Earth Science, 2016, 31(2): 192-205. ] doi: 10.11867/j.issn.1001-8166.2016.02.0192.
[25]	孙宏日, 刘艳军, 周国磊. 东北地区交通优势度演变格局及影响机制[J]. 地理学报, 2021, 76(2): 444-458. doi: 10.11821/dlxb202102014
	[ Sun Hongri, Liu Yanjun, Zhou Guolei. The spatiotemporal differentiation and mechanisms of traffic dominance in Northeast China. Acta Geographica Sinica, 2021, 76(2): 444-458. ] doi: 10.11821/dlxb202102014
[26]	吴威, 曹有挥, 曹卫东, 等. 长三角地区交通优势度的空间格局[J]. 地理研究, 2011, 30(12): 2199-2208.
	[ Wu Wei, Cao Youhui, Cao Weidong, et al. The pattern of transportation superiority in Yangtze River Delta. Geographical Research, 2011, 30(12): 2199-2208. ] doi: 10.11821/yj2011120007
[27]	杨忍. 中国县域城镇化的道路交通影响因素识别及空间协同性解析[J]. 地理科学进展, 2016, 35(7): 806-815. doi: 10.18306/dlkxjz.2016.07.002
	[ Yang Ren. Spatial coupling cooperative analysis of road transport superiority and urbanization at county level in China. Progress in Geography, 2016, 35(7): 806-815. ] doi: 10.18306/dlkxjz.2016.07.002
[28]	郑凌垚, 王海燕. 区域交通资源配置效率综合评估[J]. 科学技术与工程, 2021, 21(31): 13484-13490.
	[ Zheng Lingyao, Wang Haiyan. Comprehensive evaluation of regional traffic resource allocation efficiency. Science Technology and Engineering, 2021, 21(31): 13484-13490. ]
[29]	Wang J F, Li X H, Christakos G, et al. Geographical detectors‐based health risk assessment and its application in the neural tube defects study of the Heshun region, China[J]. International Journal of Geographical Information Science, 2010, 24(1): 107-127. doi: 10.1080/13658810802443457
[30]	韩静, 芮旸, 杨坤, 等. 基于地理探测器和GWR模型的中国重点镇布局定量归因[J]. 地理科学进展, 2020, 39(10): 1687-1697. doi: 10.18306/dlkxjz.2020.10.008
	[ Han Jing, Rui Yang, Yang Kun, et al. Quantitative attribution of national key town layout based on geodetector and the geographically weighted regression model. Progress in Geography, 2020, 39(10): 1687-1697. ] doi: 10.18306/dlkxjz.2020.10.008
[31]	王宏亮, 吴健生, 高艺宁, 等. 城市公共资源与人口分布的空间适配性分析: 以深圳市为例[J]. 北京大学学报(自然科学版), 2021, 57(6): 1143-1152.
	[ Wang Hongliang, Wu Jiansheng, Gao Yining, et al. Spatial fitness of urban public resources and population distribution: Taking Shenzhen as an example. Acta Scientiarum Naturalium Universitatis Pekinensis, 2021, 57(6): 1143-1152. ]
[32]	周建平, 刘程军, 徐维祥, 等. 中国新型城镇化与城市医疗资源空间适配性研究[J]. 地理科学, 2021, 41(7): 1168-1177. doi: 10.13249/j.cnki.sgs.2021.07.007
	[ Zhou Jianping, Liu Chengjun, Xu Weixiang, et al. Research on the spatial adaptability of China's new urbanization and urban medical resources. Scientia Geographica Sinica, 2021, 41(7): 1168-1177. ] doi: 10.13249/j.cnki.sgs.2021.07.007

类型	子类型	标准	赋值	类型	子类型	标准	赋值
公路	高速公路	拥有高速公路	2.0	铁路	普速铁路	拥有普速铁路	0.5
		距高速公路30 km以内	1.5	铁路	普速铁路	其他	0
		距高速公路60 km以内	1.0	机场	枢纽机场	拥有枢纽机场	2.0
		其他	0		枢纽机场	距枢纽机场50 km以内	1.5
	国道公路	拥有国道	0.5			其他	0
	国道公路	其他	0		干线机场	拥有干线机场	1.5
铁路	高速铁路	拥有高铁站点	2.0		干线机场	距干线机场30 km以内	1.0
		拥有高铁站点	2.0		距高铁站点30 km以内	距干线机场30 km以内	1.0	1.5	其他	0
		距高铁站点60 km以内	1.0		支线机场	拥有支线机场	0.5
		其他	0				其他	0

目标层	准则层	指标层	指标属性	指标单位	权重/%
县域发展质量指数	经济	人均GDP	正向	万元/人	11.11
		一产占比	负向	%	2.78
		二产占比	正向	%	2.78
		三产占比	正向	%	2.78
		地均固定资产投资	正向	万元/km²	5.56
		地均一般公共预算收入	正向	万元/km²	4.17
		地均一般公共预算支出	正向	万元/km²	4.17
	社会发展	人均住户储蓄存款余额	正向	万元/人	4.76
		人均年末金融机构各项贷款余额	正向	万元	2.38
		城市化水平	正向	%	4.76
		人口密度	正向	人/km²	2.38
		每万人医疗卫生机构床位数	正向	床/万人	4.76
		普通中小学在校学生	正向	人	4.76
		人均可支配收入	正向	元/人	4.76
		人均社会消费品零售总额	正向	元/人	4.76
	生态环境	单位GDP碳排放强度	负向	万t/亿元	6.06
		城市人均公园绿地面积	正向	m²/人	3.03
		建成区绿化覆盖率	正向	%	3.03
		单位GDP污水排放总量	负向	万m³/亿元	6.06
		生活垃圾无害化处理率	正向	%	3.33
		年均归一化植被指数(NDVI)	正向	—	6.67
		PM_2.5浓度	负向	μg/m³	3.03
		污水处理率	正向	%	3.03

耦合协调度(D)	适配等级	耦合协调度(D)	适配等级
0.90~1.00	超前发展	0.40~0.49	濒临错配
0.80~0.89	高度适配	0.30~0.39	轻度错配
0.70~0.79	中级适配	0.20~0.29	中度错配
0.60~0.69	初级适配	0.10~0.19	严重错配
0.50~0.59	勉强适配	0~0.09	极度错配

区域	地理探测器统计值
区域	地均固定资产投资	地均公共预算支出	人均建设用地	高程	坡度	地面粗糙度	城镇化水平	人口密度	人均GDP	二三产占比
黄河流域	0.52	0.38	0.11	0.38	0.15	0.11	0.12	0.04	0.10	0.19
“一”字样带	0.50	0.31	0.11	0.01	0.05	0.13	0.34	0.13	0.21	0.48
“几”字样带	0.48	0.29	0.36	0.16	0.19	0.17	0.22	0.43	0.20	0.42
“1”字样带	0.72	0.63	0.12	0.25	0.13	0.25	0.55	0.20	0.22	0.27

Spatial pattern of transport condition and its matching with county development in the Yellow River Basin

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[14]	LI Xiuxia, NI Jinren. Spatial Similarity between Soil Erosion and Its Influencing Factors Based on Information Entropy Theory [J]. PROGRESS IN GEOGRAPHY, 0, 0(): 161-166.