基于GIS的宁夏路网空间特征研究

doi:10.12118/j.issn.1000–6060.2021.01.28

Abstract

Abstract:

Ningxia Hui Autonomous Region is an important transportation node connecting northern and northwestern China, where a purpose-built road network can accelerate regional development. The accessibility of counties in 2011, 2017, and 2023 (projected) was calculated based on the road network of Ningxia, by using an improved network analysis method, cost distance algorithm, and ArcGIS spatial analysis. The road network in the whole region was analyzed for the spatial distribution of accessibility characteristics, and suggestions for future road construction are put forward. The results are as follows: (1) The road network in Ningxia forms a cross, which is generally characterized as strong in the north and weak in the south, because the layout is unbalanced. The spatial structure of the road network in Ningxia is affected by both economic and natural factors. (2) Access time between northern counties is shorter than that of southern counties. The road network in the south is the key area for road construction in the future. (3) A traditional network analysis method is optimized using the consideration of transfer time, by setting impedance, which makes the accessibility calculation more scientific and reasonable. (4) The average accessibility of counties was reduced from 4.02 h in 2011 to 3.75 h in 2017 and is expected to be 2.72 h in 2023. The accessibility of the road network in the whole region is constantly improving. There are differences in the range of improvement, and the accessibility of southern nodes is obviously improved. (5) Compared with 2011, the accessibility difference between counties is decreasing, so the balance in the spatial pattern of road networks in the whole region is gradually increasing. (6) Ningxia should shift its attention to build both inner and outer transportation channels centered on Yinchuan, and road construction in the south should be accelerated to optimize the road network layout of the whole region.

Key words: road network, spatial feature, GIS, improved network analysis, Ningxia

GAO Yuxiang,DONG Xiaofeng,LIANG Ying. Spatial features of road networks in Ningxia based on GIS[J].Arid Land Geography, 2021, 44(1): 268-276.

Figures/Tables 14

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References 29

[1]	Givoni M. The development and impact of the modern High Speed Train[J]. Transport Reviews, 2014,26(5):593-612. doi: 10.1080/01441640600589319
[2]	潘稼佳. 交通可达性与旅游经济联系的空间关系分析[D]. 乌鲁木齐: 新疆大学, 2019.
	[ Pan Jiajia. Analysis of the spatial relationship between traffic accessibility and tourism economic relationship: Taking 15 prefectures in Xinjiang as an example[D]. Urumqi: Xinjiang University, 2019. ]
[3]	钟业喜, 陆玉麒. 江苏省城镇可达性格局演变[J]. 长江流域资源与环境, 2011,20(8):903-910.
	[ Zhong Yexi, Lu Yuqi. Urban accessibility and its structure evolution in Jiangsu Province[J]. Resources and Environment in the Yangtze Basin, 2011,20(8):903-910. ]
[4]	高玉祥, 韩峰, 李泽宇, 等. 基于GIS的轨道交通与旅游热点可达性耦合关系——以天水市为例[J]. 测绘工程, 2019,28(3):57-60, 65.
	[ Gao Yuxiang, Han Feng, Li Zeyu, et al. Study on coupling relations of the important tourism attractions and rail transit based on GIS: A case study of Tianshui[J]. Engineering of Surveying and Mapping, 2019,28(3):57-60, 65. ]
[5]	周恺, 刘冲. 可视化交通可达性时空压缩格局的新方法——以京津冀城市群为例[J]. 经济地理, 2016,36(7):62-69.
	[ Zhou Kai, Liu Chong. A new method to visualise the time-space compression effect in road network: A case study of Beijing-Tianjing-Hebei region[J]. Economic Geography, 2016,36(7):62-69. ]
[6]	Mostafa M, Lei Z. Incorporating spatial equity into interurban road network design[J]. Journal of Transport Geography, 2014,39(1):156-164. doi: 10.1016/j.jtrangeo.2014.06.023
[7]	潘竟虎, 李俊峰. 中国A级旅游景点空间分布特征与可达性[J]. 自然资源学报, 2014,29(1):55-66. doi: 10.11849/zrzyxb.2014.01.006
	[ Pan Jinghu, LI Junfeng. Spatial distribution characteristics and accessibility of A-grade tourist attractions in China[J]. Journal of Natural Resources, 2014,29(1):55-66. ] doi: 10.11849/zrzyxb.2014.01.006
[8]	韩艳红, 陆玉麒. 南京都市圈可达性与经济联系格局演化研究[J]. 长江流域资源与环境, 2014,23(12):1641-1648. doi: 10.11870/cjlyzyyhj201412001
	[ Han Yanhong, Lu Yuqi. Analysis of accessibility and economic linkage spatial pattern evolution of Nanjing metroplitan area[J]. Resources and Environment in the Yangtze Basin, 2014,23(12):1641-1648. ] doi: 10.11870/cjlyzyyhj201412001
[9]	黄晓燕, 张爽, 曹小曙. 广州市地铁可达性时空演化及其对公交可达性的影响[J]. 地理科学进展, 2014,33(8):1078-1089. doi: 10.11820/dlkxjz.2014.08.008
	[ Huang Xiaoyan, Zhang Shuang, Cao Xiaoshu. Spatial-temporal evolution of Guangzhou subway accessibility and its effects on the accessibility of public transportation services[J]. Progress in Geography, 2014,33(8):1078-1089. ] doi: 10.11820/dlkxjz.2014.08.008
[10]	高玉祥, 韩峰, 袁锋. “一带一路”节点省份铁路路网扩张时空关系研究——以甘肃省为例[J]. 铁道科学与工程学报, 2018,15(8):2172-2178.
	[ Gao Yuxiang, Han Feng, Yuan Feng. Study on temporal-spatial relations of railway network expansion in “the Belt and Road” node province: A case study of Gansu Province[J]. Journal of Railway Science and Engineering, 2018,15(8):2172-2178. ]
[11]	魏伟, 石培基, 脱敏雍, 等. 基于GIS的甘肃省道路网密度分布特征及空间依赖度分析[J]. 地理科学, 2012,32(11):1297-1303.
	[ Wei Wei, Shi Peiji, Tuo Minyong, et al. The road network density and its spatial dependence in Gansu Province based on GIS[J]. Scientia Geographica Sinica, 2012,32(11):1297-1303. ]
[12]	杨晓敏, 李玲琴, 付建新, 等. 30 a青海省公路可达性及县域经济联系格局演化[J]. 干旱区地理, 2018,41(6):1376-1387.
	[ Yang Xiaomin, Li Lingqin, Fu Jianxin, et al. Pattern variation of accessibility and economic linkage at county scale in Qinghai Province from 1986 to 2016[J]. Arid Land Geography, 2018,41(6):1376-1387. ]
[13]	姚兆钊, 曹卫东, 岳洋, 等. 高铁对泛长三角地区可达性格局影响[J]. 长江流域资源与环境, 2018,27(10):2182-2193.
	[ Yao Zhaozhao, Cao Weidong, Yue Yang, et al. Study on the influence of high-speed railway on the accessibility pattern in Pan-Yangtze river delta region[J]. Resources and Environment in the Yangtze Basin, 2018,27(10):2182-2193. ]
[14]	王雪, 白永平, 汪凡, 等. 基于街道尺度的西安市基础教育资源空间分布特征研究[J]. 干旱区地理, 2019,42(6):1470-1477.
	[ Wang Xue, Bai Yongping, Wang Fan, et al. Characteristics of spatial distribution of basic education resources in Xi’an on street scale[J]. Arid Land Geography, 2019,42(6):1470-1477. ]
[15]	鲍超, 邹建军. 中国西北地区城镇化质量的时空变化分析[J]. 干旱区地理, 2019,42(5):1141-1152.
	[ Bao Chao, Zou Jianjun. Spatiotemporal variations of urbanization quality in northwest China[J]. Arid Land Geography, 2019,42(5):1141-1152. ]
[16]	卢茜. 长三角地区高速公路网可达性变化与城市区位分析[D]. 上海: 上海师范大学, 2011.
	[ Lu Qian. Analysis of accessibility change and urban location of expressway network in Yangtze River Delta[D]. Shanghai: Shanghai Normal University, 2011. ]
[17]	薛冰洁. 珠三角公路运输网络规模的合理性和发展规律研究[D]. 西安: 长安大学, 2011.
	[ Xue Bingjie. Research on the rationality and development law of the scale of the road transportation network in the Pearl River Delta[D]. Xi’an: Chang’an University, 2011. ]
[18]	周瑞瑞. 宁夏沿黄城市群城镇化质量及时空格局演变特征研究[D]. 银川: 宁夏大学, 2017.
	[ Zhou Ruirui. Study on urbanization quality and spatial-temporal pattern evolution characteristics of Ningxia Urban Agglomeration along the Yellow River[D]. Yinchuan: Ningxia University, 2017. ]
[19]	宁夏回族自治区统计局. 宁夏统计年鉴2018[M]. 北京: 中国统计出版社, 2018: 26-28.
	[ Statistics Bureau of Ningxia Hui Autonomous Region. Ningxia statistical yearbook 2018[M]. Beijing: China Statistical Publishing House, 2018: 26-28. ]
[20]	Yin C, He Q, Liu Y, et al. Inequality of public health and its role in spatial accessibility to medical facilities in China[J]. Applied Geography, 2018,92(6):50-62. doi: 10.1016/j.apgeog.2018.01.011
[21]	Williams S, Wang F H. Disparities in accessibility of public high schools, in Metropolitan Baton Rouge, Louisiana 1990—2010[J]. Urban Geography, 2014,35(7):1066-1083. doi: 10.1080/02723638.2014.936668
[22]	肖冀星, 王振报. 基于GIS的邯郸市医疗服务设施可达性分析[J]. 测绘与空间地理信息, 2020,43(1):137-140, 144.
	[ Xiao Jixing, Wang Zhenbao. Accessibility analysis of medical service facilities in Handan based on GIS[J]. Geomatics & Spatial Information Technology, 2020,43(1):137-140, 144. ]
[23]	马红伟. 新建包海通道西安至安康高速铁路速度目标值研究[J]. 铁道标准设计, 2019,63(3):7-11.
	[ Ma Hongwei. Research on targeted speed of Xi’an: Ankang high-speed railway on newly built Baotou-Haikou Corridor[J]. Railway Standard Design, 2019,63(3):7-11. ]
[24]	王辉. 佳木斯至沈阳铁路客运专线速度目标值选择研究[J]. 铁道标准设计, 2017,61(9):1-5.
	[ Wang Hui. Study on selection of target speed value for Jiamusi-Shenyang dedicated passenger railway[J]. Railway Standard Design, 2017,61(9):1-5. ]
[25]	曹小曙, 李涛, 杨文越, 等. 基于陆路交通的丝绸之路经济带可达性与城市空间联系[J]. 地理科学进展, 2015,34(6):657-664. doi: 10.18306/dlkxjz.2015.06.001
	[ Cao Xiaoshu, Li Tao, Yang Wenyue, et al. Accessibility and urban spatial connections of cities in the Silk Road Economic Belt based on land transportation[J]. Progress in Geography, 2015,34(6):657-664. ] doi: 10.18306/dlkxjz.2015.06.001
[26]	朱杰, 管卫华, 蒋志欣, 等. 江苏省城市经济影响区格局变化[J]. 地理学报, 2007(10):1023-1033. doi: 10.11821/xb200710002
	[ Zhu Jie, Guan Weihua, Jiang Zhixin, et al. The evolution of urban economic effect regions in Jiangsu Province[J]. Acta Geographica Sinica, 2007(10):1023-1033. ] doi: 10.11821/xb200710002
[27]	于策, 李远富, 林芳, 等. 基于GIS的津保铁路对沿线城市可达性影响分析[J]. 铁道运输与经济, 2017,39(5):18-22.
	[ Yu Ce, Li Yuanfu, Lin Fang, et al. Analysis on Influence of Tianjin-Baoding Railway on accessibility of adjacent cities based on GIS[J]. Railway Transport and Economy, 2017,39(5):18-22. ]
[28]	高玉祥, 韩峰, 任洁, 等. “一带一路”沿线甘肃省铁路网与区域发展的耦合关系研究[J]. 铁道标准设计, 2019,63(8):46-52.
	[ Gao Yuxiang, Han Feng, Ren Jie, et al. Study on the coupling relationship of Gansu railway network and regional development along“the Belt and Road” areas[J]. Railway Standard Design, 2019,63(8):46-52. ]
[29]	牟乃夏, 刘文宝, 王海银, 等. ArcGIS地理信息系统教程——从初学到精通[M]. 北京: 测绘出版社, 2012: 281-289.
	[ Mu Naixia, Liu Wenbao, Wang Haiyin, et al. ArcGIS geographic information system course: From beginning to proficiency[M]. Beijing: Surveying and Mapping Publishing House, 2012: 281-289. ]

城市	金凤	利通	大武口	沙坡头	原州	灵武	红寺堡	青铜峡	盐池	同心	海原
金凤	-	1.55	1.79	3.34	5.17	1.46	3.11	1.35	3.03	3.27	5.11
利通	1.29	-	3.04	2.59	4.03	0.69	1.46	0.65	2.53	2.43	4.07
大武口	1.46	2.24	-	5.03	7.26	3.09	4.12	3.03	4.52	5.66	7.30
沙坡头	3.02	2.38	3.92	-	3.32	3.55	1.98	2.49	3.69	1.92	3.16
原州	4.23	3.70	6.06	2.91	-	4.59	2.77	4.12	4.61	1.60	1.97
灵武	1.39	0.67	2.46	3.11	4.20	-	1.82	1.06	1.98	2.99	4.13
红寺堡	2.11	1.32	3.69	1.94	2.63	1.57	-	1.76	1.84	1.17	2.81
青铜峡	1.25	0.64	2.36	2.34	3.94	0.93	1.60	-	2.63	2.52	4.16
盐池	2.17	2.31	3.93	3.19	4.30	1.75	1.69	2.37	-	3.01	4.65
同心	3.18	2.25	4.17	1.83	1.50	2.49	1.10	2.14	2.97	-	1.64
海原	3.89	3.27	5.46	2.51	1.53	3.21	2.30	3.52	4.11	1.24	-

Spatial features of road networks in Ningxia based on GIS

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类型	铁路	高速	国道	省道	县道	其他
时间成本/min	0.6	0.6	1.0	1.2	2.0	3.0
缓冲宽/m	20	60	30	24	18	14