基于改进人口合成方法的居民出行调查数据扩样

doi:10.16097/j.cnki.1009-6744.2026.02.032

交通运输系统工程与信息 ›› 2026, Vol. 26 ›› Issue (2): 342-353.DOI: 10.16097/j.cnki.1009-6744.2026.02.032

基于改进人口合成方法的居民出行调查数据扩样

吴焕^*1a,1b，曹成涛^1a,1b，林晓辉^1a,1b，吴璠²

1. 广东交通职业技术学院，a.智慧交通工程学院，b.低空交通全景感知与智慧管控广东省高校工程技术研究中心，广州510650；2. 深圳市城市交通规划设计研究中心股份有限公司，广东深圳518110

收稿日期:2025-11-30 修回日期:2026-01-13 接受日期:2026-02-05 出版日期:2026-04-25 发布日期:2026-04-21
作者简介:吴焕（1991—），男，湖北黄梅人，工程师。
基金资助:
广东省高等学校科研平台重点项目(2024ZDZX1081, 2023ZDZX1062)。

Sample Expansion for Household Travel Survey Data Using Improved Population Synthesis Method

WU Huan^*1a,1b, CAO Chengtao^1a,1b, LIN Xiaohui^1a,1b, WU Fan²

1a. School of Intelligent Transportation Engineering, 1b. Guangdong Engineering Research Center for Low-Altitude Traffic Panoramic Perception and Intelligent Management, Guangdong Communication Polytechnic, Guangzhou 510650, China; 2. Shenzhen Urban Transport Planning Center Co Ltd, Shenzhen 518110, Guangdong, China

Received:2025-11-30 Revised:2026-01-13 Accepted:2026-02-05 Online:2026-04-25 Published:2026-04-21
Supported by:
Guangdong Higher Education Institutions Key Areas Research Program (2024ZDZX1081, 2023ZDZX1062)。

摘要/Abstract

摘要： 在现有迭代比例更新（IPU）算法基础上，本文提出一种基于改进人口合成方法的居民出行调查数据扩样方法。针对现有人口合成方法的缺陷，从3方面进行系统性改进：一是，提出虚拟人口编码与儿童信息表重构方法，处理非类别数据与儿童信息；二是，构建覆盖多层次、多区域和多控制变量的扩样方案及评价体系；三是，融合手机信令与机动车营运数据，识别沉默出行需求和调整扩样权重系数。为验证方法有效性，将其与现有人口合成方法以佛山市居民出行调查数据为例进行对比。结果表明，本文方法在关键政策敏感属性的细分指标扩样方面优势明显，各指标扩样误差绝对值的平均值降低幅度达到60%左右。本文方法实际应用效果良好，可为城市居民出行调查数据扩样提供可靠借鉴。

关键词: 城市交通, 数据扩样, 人口合成, 居民出行调查, 非类别数据, IPU算法

Abstract: This paper proposes a sample expansion method for household travel survey data using improved population synthesis and the existing iterative proportional updating (IPU) algorithm. To address the defects in existing population synthesis methods, the systematic enhancements are introduced. A virtual population encoding and children's information table reconstruction technique are developed to process the non-categorical data and information of young children. Then, the sample expansion schemes are developed, which encompasses multi-tiered structures, multi-regional coverage, diverse control variables, and the evaluation system. The mobile phone signaling data and motorized operation data are integrated to identify the unreported trip records and adjust expansion weights. To validate the effectiveness of the proposed method, an analysis was conducted using the Foshan household travel survey data and the results were to compare with the existing population synthesis techniques. The results demonstrate a marked superiority of the proposed method in expanding key policy-sensitive disaggregated indicators, with the mean absolute error across these indicators reduced by approximately 60%. The proposed framework proves to be reliable and effective, offering a solid reference for expanding urban household travel survey data.

Key words: urban transportation, sample expansion, population synthesis, household travel survey, non-categorical data, iterative proportional updating (IPU) algorithm

中图分类号:

U491.1

吴焕, 曹成涛, 林晓辉, 吴璠. 基于改进人口合成方法的居民出行调查数据扩样[J]. 交通运输系统工程与信息, 2026, 26(2): 342-353.

WU Huan, CAO Chengtao, LIN Xiaohui, WU Fan. Sample Expansion for Household Travel Survey Data Using Improved Population Synthesis Method[J]. Journal of Transportation Systems Engineering and Information Technology, 2026, 26(2): 342-353.

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链接本文: http://www.tseit.org.cn/CN/10.16097/j.cnki.1009-6744.2026.02.032

http://www.tseit.org.cn/CN/Y2026/V26/I2/342

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基于改进人口合成方法的居民出行调查数据扩样

Sample Expansion for Household Travel Survey Data Using Improved Population Synthesis Method

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