摘要
在考虑交通特性的基础上,给出能够反映旅客采用不同交通方式出行所需旅行时间的广义距离表达式,并结合最小行政区因素以及中心城市的社会经济规模对其城市辐射域划分的影响,对既有的Voronoi图方法进行改进,得到基于广义距离的离散加权Voronoi图方法。运用该方法分析高速铁路开通后上海、南京、杭州和合肥等4个中心城市的辐射域。结果显示:高速铁路开通后上海市的辐射域面积增加了40%,辐射人口增加了25.6%,新增辐射域主要位于京沪高速铁路和甬台温高速铁路沿线,且高速铁路对中心城市辐射域的影响程度与高速铁路的走向和车站位置相关;徐州和宿州与京沪高速铁路车站临近的地区以及甬台温高速铁路沿线的温州、台州等被纳入了上海市辐射域,这说明受高速铁路的影响,社会经济规模更大的中心城市不但对周边地区表现出更大的吸引力,还对其他中心城市的辐射域形成挤压态势,甚至形成跨地域的辐射域。
Generalized distance expression was given for reflecting the required travel time of passengers with different transportation modes considering traffic characteristics.Combined with the least administrative area factor and the influence of the social and economic scale of central city on its radiation domain division,the current Voronoi diagram was improved and the discrete weighted Voronoi diagram method based on generalized distance was obtained.The method was adopted to analyze the radiation domains of Shanghai,Nanjing,Hangzhou and Hefei after the opening of high speed railways.Results show that the radiation domain and population of Shanghai has increased 40% and 25.6% respectively after the opening of high speed railway.The newly increased radiation domains are mainly located along Beijing-Shanghai high speed railway and Yongtaiwen high speed railway.The influence degree of high speed railway on the radiation domain of central city is related to railway trend and station location.Xuzhou,Suzhou and the adjacent areas to the stations of Beijing-Shanghai high speed railway as well as Wenzhou and Taizhou along Yongtaiwen high speed railway are included in the radiation domain of Shanghai.It indicates that,under the influence of high speed railway,the central city with greater social and economic scale not only has greater attraction to its surrounding areas,but also forms extrusion situation to other central cities and even forms cross regional radiation domain.
出处
《中国铁道科学》
EI
CAS
CSCD
北大核心
2016年第3期124-129,共6页
China Railway Science
基金
国家自然科学基金重点资助项目(U1434207)
关键词
高速铁路
辐射域
区域中心城市
广义距离
离散加权Voronoi图
High speed railway
Radiation domain
Regional central city
Generalized distance
Discrete weighted Voronoi diagram