地理学报 ›› 2013, Vol. 68 ›› Issue (10): 1380-1388.doi: 10.11821/dlxb201310007

• 城市与区域发展 • 上一篇    下一篇

基于时间距离的C2C电子商务虚拟商圈分析——以位于北京的淘宝网化妆品零售为例

余金艳1,2,3, 刘卫东1,2, 王亮4   

  1. 1. 中国科学院地理科学与资源研究所, 北京 100101;
    2. 中国科学院区域可持续发展分析与模拟重点实验室, 北京 100101;
    3. 中国科学院大学, 北京 100039;
    4. 北京市城市规划设计研究院, 北京 100045
  • 收稿日期:2012-08-14 修回日期:2012-11-16 出版日期:2013-10-20 发布日期:2013-11-20
  • 通讯作者: 刘卫东(1967-), 男, 研究员, 博士生导师。E-mail: liuwd@igsnrr.ac.cn E-mail:liuwd@igsnrr.ac.cn
  • 作者简介:余金艳(1986-), 女, 博士研究生, 新疆哈密人, 主要从事经济地理、区域发展和信息化相关研究。E-mail: jinyanyu@gmail.com
  • 基金资助:
    国家自然科学基金项目(41125005)

Analysis of virtual trading area of C2C E-commerce based on temporal distance:A case study of 50 cosmetics retail stores on TAOBAO in Beijing

YU Jinyan1,2,3, LIU Weidong1,2, WANG Liang4   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Key Laboratory of Regional Sustainable Development Modeling of the Chinese Academy of Sciences, Beijing 100101, China;
    3. University of Chinese Academy of Sciences, Beijing 100039, China;
    4. Beijing Municipal Institute of City Planning & Design, Beijing 100045, China
  • Received:2012-08-14 Revised:2012-11-16 Online:2013-10-20 Published:2013-11-20
  • Supported by:
    National natural science foundation, No.41125005

摘要: 基于超制图学的基本思想,建立模型将物流配送的时间距离,换算成km为单位的空间距离。在此基础上,通过ArcGIS 的地图投影空间变换方法,用换算出的“距离”重新定义两地间距离,变形原地图形成时间距离地图。选取位于北京的50 家淘宝网化妆品C2C电子商务卖家,分析其近6 个月的交易信息,基于时间距离地图,研究其虚拟商圈形态特征及产生原因。结果表明,C2C电子商务在时间距离地图上的虚拟商圈,呈现出与传统零售业商圈类似但又不完全相同的特征:信息技术降低空间摩擦,使得虚拟商圈辐射范围较广;“时间距离”影响了消费决策,虚拟商圈呈现出近圆形圈层;但“时间距离”的“摩擦阻力”不是消费决策唯一影响因素,虚拟商圈的渗透性、重叠性、动态变化较传统商圈增强。

关键词: 北京, 时间距离, 虚拟商圈, C2C电子商务

Abstract: According to the theory of metacartography, this paper, using model-building, tries to transform the spatial distance into the temporal distance. On this basis, it re-defines the distance between two places using the map projection transformation method in ArcGIS. Thus, the temporal distance map is obtained theoretically. Then this paper, taking the case of 50 cosmetics retail stores on TAOBAO in Beijing as an example, analyzes their transaction information of 6 months, and conducts studies on the features and causes of virtual trading area based on the temporal distance map. Some unique features are shown compared with traditional trading area. (1) The virtual trading area has even a wider range because the new ICTs can reduce the space friction. (2) The temporal distance affects consumption decision so that the virtual trading area demonstrates hierarchy. (3) The frictional resistance of temporal distance is not the unique factor affecting consumption decision, and, in actual cases, the virtual trading areas demonstrate more permeability, superposition and dynamics compared with the traditional trading area.

Key words: virtual trading area, C2C E-commerce, temporal distance