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中国国内观光旅游线路设计中的游时研究
引用本文:李山,王慧,王铮.中国国内观光旅游线路设计中的游时研究[J].人文地理,2005,20(2):51-56.
作者姓名:李山  王慧  王铮
作者单位:1. 华东师范大学地理信息科学教育部开放实验室、旅游规划与发展研究中心, 上海 200062;
2. 中国科学院政策与管理科学研究所, 北京 100080
基金项目:国家自然科学基金资助项目(批准号:40131010),华东师范大学地理学国家理科基地基金资助
摘    要:旅游线路是旅行社销售的主要产品,也是目的地旅游开发和市场营销的重要对象,其中游时是旅游线路设计中的核心要素之一。本文通过对北京、上海和广州为旅游出发地的旅游线路的统计分析表明,在中国国内观光旅游线路设计中,游时(出游时间与游览时间的统称)随客源地-目的地之间的距离呈对数增长,其中出游时间T0(一次旅游的总耗时,单位:天)与出行直线距离D1(客源地与目的地之间的球面距离,单位:公里)之间具有方程T0=-4.5769+1.31611n(D1)所描述的统计关系,而游览时间T1(游客在目的地逗留的时间,单位:天)与出行直线距离D1之间具有方程T1=-4.2188+1.1220ln (D1)所描述的统计关系。研究还发现,旅行社每日安排游览的景区(点)数目具有随出行距离呈"U"型曲线的特点,平均而言,在目的地逗留期间每天安排游览的景区(点)约为5个;从交通方式上看,随着出行距离的增加,呈现出汽车-火车-飞机交替演变的特点;旅游报价P与出行直线距离D1之间存在线性相关性,关系式为:P=293.81+1.184 D1

关 键 词:旅游线路  游时  出游时间  游览时间  
文章编号:1003-2398(2005)02-0051-06
收稿时间:2003-08-01
修稿时间:2003年8月1日

A STUDY ON TOUR TIME PLANNING OF DOMESTIC SIGHTSEEING TRAVEL ITINERARIES
LI Shan,WANG Hui,WANG Zheng.A STUDY ON TOUR TIME PLANNING OF DOMESTIC SIGHTSEEING TRAVEL ITINERARIES[J].Human Geography,2005,20(2):51-56.
Authors:LI Shan  WANG Hui  WANG Zheng
Institution:1. Laboratory of Geographic Information Science, East China Normal University, Shanghai 200062, China;
2. Policy and Management Institute, CAS, Beijing 100080, China
Abstract:Travel itinerary, which is important for destination development and tourism marketing, is a major kind of products of travel agencies. Tour time, as a joint name for travel time and visiting time, is a significant factor for itinerary design. Through statistical analysis on the data of itineraries (taking Beijing, Shanghai, and Guangzhou as origins) got from the internet, we find that there is a logarithmic relationship between tour time and O-D (origin-destination) distance. In detail, the relationship between the travel time (T0, all the time spent in a trip, unit: day) and the straight distance (D1, the spherical distance from an origin to a destination, unit: kilometer) can be presented by the regression equation: T0=-4.5769+1.3161ln(D1). In addition, the relationship between the visiting time (T1, the time spent in a destination, unit: day) and the straight distance can be presented by the regression equation: T1=-4.2188+1.1220ln(D1). Furthermore, we find that the number of scenic spots which are arranged to be visited each day in the itineraries is averagely 5 and it will reduce at first and then increase with the distance increasing; with the travel distance increasing, the traffic way will alternate from road to railway and then to airline; and there is a linear relationship between the price presented in the itineraries and the travel distance.
Keywords:travel itineraries  tour time  travel time  visiting time
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