开放式街道地图在城市发展水平分析中的应用
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摘要
针对城市路网的发展状况,能在一定程度上体现城市发展的水平,但传统路网数据难获取的问题,该文采用了易获取、成本低、更新快等优点的OpenStreetMap路网数据为主要研究对象,利用多元线性回归的分析方法,重点研究OSM路网与城市经济发展水平(城市GDP)间的相关关系。通过实验验证,OSM路网密度与城市经济发展水平之间存在着明显的相关关系,利用OSM路网密度对城市经济发展水平进行分析,具有一定的可行性,能够为日后城市经济水平评估与评价提供了一种新的辅助评价指标。
The development of urban road network reflect the status of urban development.In view of the shortcomings of traditional road network data,OpenStreetMap road network data with advantages of easy acquisition,low cost and fast update is adopted in this paper and the OSM road network density,the urban main area and the urban population are taken as the evaluation indicators to study the correlation between the three and the urban economic development level(urban GDP).It is verified by experiments that there is a significant linear regression correlation between the OSM road network density and the three.Therefore,it is feasible to use the OSM road network density to analyze the urban economic development level,which a new auxiliary evaluation index for the evaluation and evaluation of urban economic level can be provided in the future.
The development of urban road network reflect the status of urban development.In view of the shortcomings of traditional road network data,OpenStreetMap road network data with advantages of easy acquisition,low cost and fast update is adopted in this paper and the OSM road network density,the urban main area and the urban population are taken as the evaluation indicators to study the correlation between the three and the urban economic development level(urban GDP).It is verified by experiments that there is a significant linear regression correlation between the OSM road network density and the three.Therefore,it is feasible to use the OSM road network density to analyze the urban economic development level,which a new auxiliary evaluation index for the evaluation and evaluation of urban economic level can be provided in the future.
引文
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[13]FONTE C,MINGHINI M,PATRIARCA J,et al.Generating Up-to-date and detailed land use and land cover maps using OpenStreetMap and GlobeLand30[J].ISPRS International Journal of Geo-Information,2017,6(4).
[14]MOBASHERI A,SUN Y,LOOS L,et al.Are crowdsourced datasets suitable for specialized routing services?case study of OpenStreetMap for routing of people with limited mobility[J].Sustainability,2017,9(6):997.
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[2]陈博文,陆玉麒,柯文前,等.江苏交通可达性与区域经济发展水平关系测度:基于空间计量视角[J].地理研究,2015,34(12):2283-2294.(CHEN Bowen,LUYulin,KE Wenqian,et al.Analysis on the measuring of the relationship between transportation accessibility and level of regional economic growth in Jiangsu:based on spatial econometric perspective[J].Geographical Research,2015,34(12):2283-2294.)
[3]马晓蕾,马延吉.基于GIS的中国地级及以上城市交通可达性与经济发展水平关系分析[J].干旱区资源与环境,2016,30(4):8-13.(MA Xiaolei,MA Yanji.The transportation accessibility and comprehensive economic levels of Chinese cities at prefecture level or above based on GIS[J].Journal of Arid Land Resources and Environment,2016,30(4):8-13.)
[4]王晓艳.铁路基础设施与区域经济协调发展研究[D].北京:北京交通大学,2016.(WANG Xiaoyan.Research on coordinated development of railway infrastructure and regional economy[D].Beijing:Beijing Jiaotong Universiyt,2016.)
[5]徐曌,欧国立.交通基础设施建设、运输形态变化与区域经济增长[J].北京交通大学学报(社会科学版),2015,14(3):17-27.(XU Zhao,OU Guoli.Transportation infrastructure,transformation of transportation patterns and regional economic growth[J].Journal of Beijing Jiaotong University(Social Sciences Edition),2015,14(3):17-27.)
[6]徐阳,苏兵,张荔,等.陕西省区域经济与交通运输体系发展综合评价及适应度研究[J].生态经济,2016,32(3):108-112.(XU Yang,SU Bing,ZHANG Li,et al.Study on the comprehensive evaluation and fitness of the development of regional economy and transportation of Shaanxi province[J].Ecological Economy,2016,32(3):108-112.)
[7]查凯丽,彭明军,刘艳芳,等.武汉城市圈路网通达性与经济联系时空演变及关联分析[J].经济地理,2017,37(12):74-81,210.(ZHA Kaili,PENG Mingjun,LIUYanfang,et al.Spatio-temporal evolution and correlation analysis of road network accessibility and economic contact in Wuhan metropolitan area[J].Economic Geography,2017,37(12):74-81,210.)
[8]FONTE C C,MARTINHO N.Assessing the applicability of OpenStreetMap data to assist the validation of land use/land cover maps[J].International Journal of Geographical Information Science,2017,31(3).
[9]BITTNER C.Diversity in volunteered geographic information:comparing OpenStreetMap and Wikimapia in Jerusalem[J].Geojournal,2016,82(5):1-20.
[10]MOBASHERI A.A rule-based spatial reasoning approach for OpenStreetMap data quality enrichment:a case study of routing and navigation[J].Sensors,2017,17(11):2498.
[11]ZHOU Q.Exploring the relationship between density and completeness of urban building data in OpenStreetMap for quality estimation[J].International Journal of Geographical Information Science,2018,32(2):257-281.
[12]WANG Z,ZIPF A.Using openstreetmap data to generate building models with their inner structures for3D Maps[J].ISPRS Journal of Photogrammetry and Remote Sensing,2017,2:W4.
[13]FONTE C,MINGHINI M,PATRIARCA J,et al.Generating Up-to-date and detailed land use and land cover maps using OpenStreetMap and GlobeLand30[J].ISPRS International Journal of Geo-Information,2017,6(4).
[14]MOBASHERI A,SUN Y,LOOS L,et al.Are crowdsourced datasets suitable for specialized routing services?case study of OpenStreetMap for routing of people with limited mobility[J].Sustainability,2017,9(6):997.
[15]HENNIG S.OpenStreetMap used in protected area management:the example of the recreational infrastructure in Berchtesgaden National Park[J].Eco Mont-journal on Protected Mountain Areas Research,2017,1(2):30-41.
[16]JUHSZ L,HOCHMAIR H H.How do volunteer mappers use crowdsourced Mapillary street level images to enrich OpenStreetMap[C]∥Proceedings of the 20th AGILE Conference on Geo-Information Science.Wageningen:The Netherlands,2017:18-21.
[17]谢宇.回归分析[M].北京:社会科学文献出版社,2010:155.(XIE Yu.Regression analysis[M].Beijing:Social Sciences Academic Press(China),2010:155.)