文章编号： 1672-5328（2026）01-0063-08

殷韫，赵鑫玮，刘鸿儒，王森，凌伯天
(中国城市规划设计研究院，北京100037)

摘要： 自2017 年西安市解禁摩托车以来，摩托车保有量与使用量均保持快速增长。摩托车不仅提 供了经济便捷的通勤出行选择，也以摩旅(指以骑摩托车进行的旅行方式)出行丰富了居民的休闲生 活。结合西安市摩托车用户问卷调查、摩托车GPS行驶轨迹和重点交叉口交通量等多源数据，通过 多维度解析摩托车用户群体画像和出行时空特征，明确了摩托车在城市交通系统中的功能定位。在 此基础上，以通勤出行和摩旅出行两种出行目的为划分依据对摩托车用户群体进行划分，采用关联 规则挖掘算法深入剖析用户群体画像与出行目的之间的关联。首次将关联规则挖掘算法应用于摩托 车出行研究，既还原了不同出行目的下的摩托车用户群体画像，也为深入挖掘该群体的出行特征提 供了新的技术方法。

关键词： 交通管理；摩托车；群体画像；出行特征；功能定位；关联规则挖掘；西安市

中图分类号： U491.1

文献标识码：A

User Profiles and Travel Characteristics of Motorcyclists

Yin Yun, Zhao Xinwei, Liu Hongru,Wang Sen, Ling Botian
(China Academy of Urban Planning & Design, Beijing 100037, China)

Abstract： Since Xi'an lifted motorcycle restrictions in 2017, both motorcycle ownership and usage have entered a phase of rapid growth. Motorcycles not only provide an affordable and convenient commuting option, but also enrich residents' leisure life through motorcycle touring (which is a travel mode that involves traveling by motorcycle). Using multi-source data, including questionnaire surveys of motorcycle users in Xi'an, motorcycle GPS trajectories, and traffic volumes at key intersections, this paper analyzes user profiles and spatiotemporal travel characteristics of motorcyclists from multiple dimensions. It further clarifies the functional role of motorcycles in the urban transportation system. On this basis, users are classified by two purposes, including commuting travel and motorcycle touring travel. The association rule mining algorithm is then used to examine the relationship between user profiles and travel purposes. This paper is the first to apply association rule mining algorithms to motorcycle travel research. It reconstructs user profiles under different travel purposes and provides a novel technical method for exploring the motorcycle travel characteristics.

Keywords： traffic management; motorcycles; user profiles; travel characteristics; functional role; association rule mining; Xi'an