CAJ | 학술논문

美国商品流动调查是美国货流数据的主要来源,其在覆盖运输方式、真实起讫点、价值量等方面有其它调查达不到的优点;然而在覆盖产业类别、运输线路与距离、可比性、及时性等方面也存在一些缺陷。虽然短期内可通过数据合成技术,并运用现有数据来源修补缺陷,但长期还需改进数据收集方法。信息技术的发展已给货流数据的收集创造新条件,基于信息技术的＂非主动＂数据收集方法将是未来获取货流数据的重要手段。
미국상품류동조사시미국화류수거적주요래원,기재복개운수방식、진실기흘점、개치량등방면유기타조사체불도적우점;연이재복개산업유별、운수선로여거리、가비성、급시성등방면야존재일사결함。수연단기내가통과수거합성기술,병운용현유수거래원수보결함,단장기환수개진수거수집방법。신식기술적발전이급화류수거적수집창조신조건,기우신식기술적＂비주동＂수거수집방법장시미래획취화류수거적중요수단。
The U.S.Commodity Flow Survey（CFS） is a major data source on freight movement within United States.CFS has some advantages that other surveys cannot compare.These advantages include： coverage all modes throughout the country,value data,true origin and destination data can be gotten.But,CFS also has some vital disadvantages,such as not cover all classifications of goods,a lack of detailed commodity and transportation route and distance data,not comparable to other data and so on.Two development orientations were put forward in this paper.In the short run,data synthesis based on current data sources can be used to filling the gaps;in the long run,improvement of data collection methods is essential.The development of information technology has been creating new opportunities for freight data collection,of which non-active survey methods based on information technology will be an important measure for freight data collection in the future.