首页> 外文期刊>Transportation research, Part A. Policy and practice >Explore the relationship between online shopping and shopping trips: An analysis with the 2009 NHTS data
【24h】

Explore the relationship between online shopping and shopping trips: An analysis with the 2009 NHTS data

机译:探索网上购物与购物旅行之间的关系:基于2009年NHTS数据的分析

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

The rapid growth of ecommerce brings great changes to the transportation system. However, most existing studies focus on the impact of ecommerce on freight system. Its impact on personal trips is relatively less studied. It is reasonable to argue that online shopping reduces the need of shopping trips by making goods accessible via door-to-door deliveries. On the other hand, online shopping may also create more shopping trips as online shoppers travel to stores to experience, compare or pick up the goods. Understanding the connections between online shopping and shopping trips is critical for transportation planners to prepare for changes that information technology will continue to bring to this nation in the future. Using the 2009 National Household Travel Survey (NHTS) data and a structural equation model (SEM), this paper disentangles the bidirectional connections between online shopping and shopping trips. Results show that online shopping encourages shopping trips while shopping trips tend to suppress the online shopping propensity. Besides, both online shopping and shopping trips are influenced by exogenous factors such as shoppers' demographic features, regional specific factors and household attributes. A closer examination at the state level further confirms model validity while disclosing spatial variation in their relationship.
机译:电子商务的快速发展给交通系统带来了巨大的变化。然而,现有的大多数研究都集中在电子商务对货运系统的影响上。它对个人旅行的影响研究相对较少。有理由认为,网上购物通过送货上门使商品能够获得,从而减少了购物旅行的需要。另一方面,网上购物也可能创造更多的购物之旅,因为网上购物者前往商店体验、比较或挑选商品。了解网上购物和购物旅行之间的联系对于交通规划者来说至关重要,以便为信息技术未来将继续给这个国家带来的变化做好准备。本文利用2009年全国家庭旅游调查(NHTS)数据和结构方程模型(SEM),梳理了网上购物和购物旅行之间的双向联系。结果显示,网上购物鼓励购物旅行,而购物旅行往往会抑制网上购物倾向。此外,网上购物和购物旅行都受到外生因素的影响,例如购物者的人口特征、区域特定因素和家庭属性。在州一级进行更仔细的检查进一步证实了模型的有效性,同时揭示了它们关系的空间差异。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号