Abstract: In order to adapt to the development of the tourism transportation industry and solve the problems faced by tourists when planning travel routes, a two-stage model was established to optimize the selection of urban multi-modal tourism routes. In the first stage of the model, the main factors influencing tourists’ choice of traffic mode in the tourism situation were studied, comprehensively considering 3 factors of “tourists’ social economy”, “travel characteristics” and “traffic mode characteristics”, as well as 9 factors including the walking distance ratio, capital consumption ratio and running time ratio of different traffic modes (bus, subway, taxi/online car) between the same origin-destination. A questionnaire survey was carried out in Nanjing city, and a Multinomial Logit (MNL) model was constructed to analyze tourists’ travel and traffic mode choice behavior. In the second stage, based on the optimal requirements, segmentation requirements, and time-limited requirements of tourism route selection, the urban multi-modal tourism route planning model based on DC-TSP was constructed, and the LKH solver was used to solve the model. The results show that the constructed model fully considers the characteristics of the urban multi-modal transportation network and satisfies the needs of urban tourism route planning.

Key words: transportation engineering, multi-modal tourism route, Multinomial Logit (MNL) model

摘要： 为适应旅游交通产业的发展，解决游客出游线路规划时所面对的问题，建立了2阶段模型以优化城市多模式旅游路径选择。第1阶段，研究了旅游情境下影响游客交通方式选择行为的主要因素，综合考虑了“游客社会经济”“出行特征”和“交通方式”3方面的影响因素，以及同起讫点间不同交通方式（公交车、地铁、出租车/网约车）的步行距离比、资金消耗比和运行时间比等9个因素，在南京市开展问卷调查，构建多项Logit（MNL）模型，分析了游客的出行交通方式选择行为；第2阶段，基于旅游路径选择的最优要求、分段要求以及限时要求，构建了基于DC-TSP的城市多模式旅游线路规划模型，并利用LKH求解器进行模型求解。结果表明：所建模型充分考虑了城市多模式交通网络特征，可满足城市内旅游线路规划需求。

关键词: 交通运输工程, 多模式旅游路径, 多项Logit模型