湖北省高速公路收费站影响域划分及其流量与人口关联分析
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摘要
针对以往缺乏高速公路收费站点辐射范围及其辐射范围内交通流量与人口规模的相互关系研究的现状,通过运用流量加权的网络路径—时间成本Voronoi图方法,研究高速公路收费站点的影响域范围及其演变特征,运用Pearson相关系数研究各高速公路收费站点交通流量与各收费站点影响域内的人口规模之间的关系。研究结果表明:(1)新建高速收费站点完善了全省高速公路网络布局,且2010年湖北省高速公路收费站点的平均影响范围较2006年更细;(2)湖北省高速公路收费站点流量与收费站点的辐射人口呈显著正相关;(3)湖北省道路网络的发展仍应突出武汉市的全省核心枢纽地位,突出黄石、恩施、十堰、宜昌的地位,并考虑进一步补充高速公路收费站点。
In previous research,there are rare papers on how to divide highway toll-station's field scientifically and accurately and on exploring the relationship between traffic flow of highway toll stations and the size of the population within the radiation range of highway toll stations. This paper,based on Hubei province road network data in 2006 and 2010 year,uses Voronoi method which based on road network path cost of time distance and traffic flow to divide the influence area of highway toll station,and then uses the Pearson correlation coefficient to study the relationship between traffic flow of the highway toll stations and the population size within the the influence area of highway toll station,which can explore the consistency of traffic flow and the size of the population.The research results show that:( 1) The new high-speed toll stations have improved the province's highway network layout. The average range of influence areas of toll stations in 2010 was smaller than that in 2006;( 2) The traffic flow of toll stations is significantly positively related to population within the the influence area of highway toll station;( 3) Considering Hubei province road network development,Wuhan city should be the core,and the status of Huangshi,Enshi,Shiyan,and Yichang should be highlighted,and the highway toll sites should be considered to add further.
In previous research,there are rare papers on how to divide highway toll-station's field scientifically and accurately and on exploring the relationship between traffic flow of highway toll stations and the size of the population within the radiation range of highway toll stations. This paper,based on Hubei province road network data in 2006 and 2010 year,uses Voronoi method which based on road network path cost of time distance and traffic flow to divide the influence area of highway toll station,and then uses the Pearson correlation coefficient to study the relationship between traffic flow of the highway toll stations and the population size within the the influence area of highway toll station,which can explore the consistency of traffic flow and the size of the population.The research results show that:( 1) The new high-speed toll stations have improved the province's highway network layout. The average range of influence areas of toll stations in 2010 was smaller than that in 2006;( 2) The traffic flow of toll stations is significantly positively related to population within the the influence area of highway toll station;( 3) Considering Hubei province road network development,Wuhan city should be the core,and the status of Huangshi,Enshi,Shiyan,and Yichang should be highlighted,and the highway toll sites should be considered to add further.
引文
[1]蒋海兵,张文忠,祁毅,等.基于可达性分析的高速公路投资空间溢出效应[J].地理研究,2014(1):71-82.
[2]刘瑞超,丁四保,王成新,等.高速公路对区域发展影响的评价体系研究———以山东省为例[J].地理科学,2012(7):798-806.
[3]王成金.中国高速公路规划网的空间效应与政策机制[J].地理学报,2011,66(8):1076-1088.
[4]高中华,李满春,陈振杰,等.城市道路网络的小世界特征研究[J].地理与地理信息科学,2007(4):97-101.
[5]李清泉,曾喆,杨必胜,等.城市道路网络的中介中心性分析[J].武汉大学学报:信息科学版,2010(1):37-41.
[6]詹璇,林爱文,孙铖,等.武汉市公共交通网络中心性及其与银行网点的空间耦合性研究[J].地理科学进展,2016(9):1155-1166.
[7]姜博,初楠臣,王媛,等.高速铁路影响下的城市可达性测度及其空间格局模拟分析———以哈大高铁为例[J].经济地理,2014(11):58-62.
[8]蒋海兵,张文忠,祁毅,等.基于可达性分析的高速公路投资空间溢出效应[J].地理研究,2014(1):71-82.
[9]周恺.长江三角洲高速公路网通达性与城镇空间结构发展[J].地理科学进展,2010(2):241-248.
[10]耿红,唐旭,祝国瑞.基于空间竞争的城市道路影响域划分方法研究[J].武汉大学学报:信息科学版,2004(6):521-524.
[11]胡石元,刘耀林. Voronoi图的扩展及其在土地定级因素影响半径确定中的应用[J].中国土地科学,2004(3):46-49.
[12]王伟,封学军.基于加权Voronoi图的连续型物流节点布局优化[J].武汉理工大学学报:交通科学与工程版,2011,35(6):1103-1107.
[13]王新生,余瑞林,姜友华.基于道路网络的商业网点市场域分析[J].地理研究,2008(1):85-92.
[14]谢顺平,冯学智,王结臣,等.基于网络加权Voronoi图分析的南京市商业中心辐射域研究[J].地理学报,2009(12):1467-1476.
[15]侯静轩,苑思楠,盛强,等.地铁线路及站点周边人流量空间预测模型研究[C]//建构文化———2015年全国建筑院系建筑数字技术教学研讨会论文集,2015.
[16]廖固.高速公路收费站通行能力分析[J].公路工程,2010(3):153-155.
[17]马军.高速公路收费站拥堵问题调查与分析[J].公路交通科技:应用技术版,2012(4):299-302.
[2]刘瑞超,丁四保,王成新,等.高速公路对区域发展影响的评价体系研究———以山东省为例[J].地理科学,2012(7):798-806.
[3]王成金.中国高速公路规划网的空间效应与政策机制[J].地理学报,2011,66(8):1076-1088.
[4]高中华,李满春,陈振杰,等.城市道路网络的小世界特征研究[J].地理与地理信息科学,2007(4):97-101.
[5]李清泉,曾喆,杨必胜,等.城市道路网络的中介中心性分析[J].武汉大学学报:信息科学版,2010(1):37-41.
[6]詹璇,林爱文,孙铖,等.武汉市公共交通网络中心性及其与银行网点的空间耦合性研究[J].地理科学进展,2016(9):1155-1166.
[7]姜博,初楠臣,王媛,等.高速铁路影响下的城市可达性测度及其空间格局模拟分析———以哈大高铁为例[J].经济地理,2014(11):58-62.
[8]蒋海兵,张文忠,祁毅,等.基于可达性分析的高速公路投资空间溢出效应[J].地理研究,2014(1):71-82.
[9]周恺.长江三角洲高速公路网通达性与城镇空间结构发展[J].地理科学进展,2010(2):241-248.
[10]耿红,唐旭,祝国瑞.基于空间竞争的城市道路影响域划分方法研究[J].武汉大学学报:信息科学版,2004(6):521-524.
[11]胡石元,刘耀林. Voronoi图的扩展及其在土地定级因素影响半径确定中的应用[J].中国土地科学,2004(3):46-49.
[12]王伟,封学军.基于加权Voronoi图的连续型物流节点布局优化[J].武汉理工大学学报:交通科学与工程版,2011,35(6):1103-1107.
[13]王新生,余瑞林,姜友华.基于道路网络的商业网点市场域分析[J].地理研究,2008(1):85-92.
[14]谢顺平,冯学智,王结臣,等.基于网络加权Voronoi图分析的南京市商业中心辐射域研究[J].地理学报,2009(12):1467-1476.
[15]侯静轩,苑思楠,盛强,等.地铁线路及站点周边人流量空间预测模型研究[C]//建构文化———2015年全国建筑院系建筑数字技术教学研讨会论文集,2015.
[16]廖固.高速公路收费站通行能力分析[J].公路工程,2010(3):153-155.
[17]马军.高速公路收费站拥堵问题调查与分析[J].公路交通科技:应用技术版,2012(4):299-302.