文章编号： 1672-5328（2021）02-0072-08

郑海星，梅荣利，朱海明，芮晓丽
(天津市城市规划设计研究总院有限公司，天津300201)

摘要： 港口货运交通特征是港口城市综合交通体系规划的重要依据。传统货运交通特征调查具有以 下局限：调查对象类型复杂、样本代表性差、数据抽样和扩样困难、调查实施难度大等。这些问题 制约了研究者对城市货运交通特征的获取。采用大数据挖掘、多源数据综合扩样与校验等手段，提 出一种基于多源数据融合的港口货运特征调查方法，打破传统货运特征调查因实施难度大而产生的 束缚，能够全面、准确地获得港口公路货运需求总量及大型货车出行特征和规律。经天津港实践证 明，该方法准确性高、可操作性强且易于推广。

关键词： 综合交通调查；港口货运特征；多源数据融合；天津港

中图分类号： U491

文献标识码：A

Port Freight Flow Characteristics Investigation Based on Data Fusion

Zheng Haixing, Mei Rongli, Zhu Haiming, Rui Xiaoli
(Tianjin Urban Planning and Design Institute Co., Ltd., Tianjin 300201, China)

Abstract： The characteristic of port freight transportation is an important basis for the comprehensive transportation system planning of port cities. The limitations of traditional freight flow survey include complex survey objects, poor sample representation, difficulties in data sampling and expansion, and difficulties in survey implementation, which restrict the researchers from obtaining the characteristics of urban freight transportation. Based on big data mining, multi-source data comprehensive expansion and verification, this paper propose a survey method of port freight transportation characteristics using multi-source data fusion. The method can obtain the total demand of port highway freight transportation and the travel characteristics of large trucks comprehensively and accurately, which overcomes the shortcomings of traditional freight transport characteristics survey. The practice of Tianjin Port has proved that the method has high accuracy, strong applicability and easy promotion.

Keywords： comprehensive transportation survey; port freight flow characteristics; multi- source data fusion; Tianjin Port