Travel Survey of Residents of Canada, 2015: Visit File
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<p>The Travel Survey of Residents of Canada (TSRC) is a major source of data used to measure the size and status of Canada's tourism industry. It was developed to quantify the volume, the characteristics and the economic impact of domestic travel. For the system of national accounts, TSRC measures the size of domestic travel in Canada from the demand side. </p> <p>Since the beginning of 2005, the Travel Survey of Residents of Canada (TSRC) has been conducted to measure domestic travel in Canada. It replaces the Canadian Travel Survey (CTS). Featuring several definitional changes and a new questionnaire, this survey provides estimates of domestic travel that are more in line with the international guidelines recommended by the World Tourism Organization (WTO) and the United Nations Statistical Commission. In 2011, TSRC underwent a redesign. Please refer to the document entitled Differences Between the 2011 Redesigned TSRC and the 2010 TSRC available in the "Documentation" section of this survey, for an explanation of the differences between TSRC from 2006-2010 and TSRC in 2011.</p> <p> The Travel Survey of Residents of Canada is sponsored by Statistics Canada, the Canadian Tourism Commission, and the provincial governments. It measures the size of domestic travel in Canada from the demand side. The objectives of the survey are to provide information about the volume of trips and expenditures for Canadian residents by trip origin, destination, duration, type of accommodation used, trip reason, mode of travel, etc.; to provide information on travel incidence and to provide the socio-demographic profile of travellers and non-travellers. Estimates allow quarterly analysis at the national, provincial and tourism region level (with varying degrees of precision) on:</p> <ul> <li> total volume of same-day and overnight trips taken by the residents of Canada with destinations in Canada, </li> <li> same-day and overnight visits in Canada,</li> <li> main purpose of the trip/key activities on trip,</li> <li> spending on same-day and overnight trips taken in Canada by Canadian residents in total and by category of expenditure,</li> <li> modes of transportation (main/other) used on the trip,</li> <li> person-visits, household-visits, spending in total and by expense category for each location visited in Canada,</li> <li> person- and household-nights spent in each location visited in Canada, in total and by type of accommodation used,</li> <li> use of travel packages and associated spending and source of payment (household, government, private employer),</li> <li> demographics of adults that took or did not take trips, and</li> <li> travel party composition.</li> </ul> <p> The main users of the TSRC data are Statistics Canada, the Canadian Tourism Commission, the provinces, and tourism boards. Other users include the media, businesses, consultants and researchers.</p>
加拿大居民旅行调查(Travel Survey of Residents of Canada, TSRC)是衡量加拿大旅游业规模与发展现状的核心数据来源。该调查旨在量化国内旅游的体量、特征及经济影响。在国民经济核算体系中,TSRC从需求端测算加拿大国内旅游的整体规模。
自2005年起,加拿大居民旅行调查正式实施,用以替代原有的加拿大旅行调查(Canadian Travel Survey, CTS)。新版调查在统计定义上做出多项调整,并采用全新问卷框架,其产出的国内旅游估算结果更贴合世界旅游组织(World Tourism Organization, WTO)与联合国统计委员会推荐的国际规范。2011年,TSRC经历了全面重设计。若需了解2006-2010年版TSRC与2011年新版TSRC的具体差异,请参阅本调查"文档"板块中发布的《2011年重设计版TSRC与2010年版TSRC差异说明》文件。
加拿大居民旅行调查由加拿大统计局、加拿大旅游委员会及各省级政府联合发起,同样从需求端测算加拿大国内旅游的整体规模。本次调查的目标包括:一是提供加拿大居民国内旅行的出行体量与支出信息,细分维度涵盖出行出发地、目的地、行程时长、住宿类型、出行目的、交通方式等;二是统计旅游参与率,并构建旅行者与非旅行者的社会人口统计学画像。调查产出的估算结果可支撑全国、省级及旅游区域层面的季度分析(精度层级存在差异),具体覆盖以下维度:
- 加拿大居民在加拿大境内开展的当日往返旅行与过夜旅行总规模
- 加拿大境内的当日往返出行与过夜出行人次
- 旅行主要目的/核心活动
- 加拿大居民在境内开展的当日往返与过夜旅行的总支出及分类别支出
- 旅行中使用的交通方式(主要/其他)
- 加拿大境内各到访地点的人次到访、户次到访、总支出及分类别支出
- 加拿大境内各到访地点的总人夜数与户夜数,以及分住宿类型的人夜与户夜数
- 旅行套餐使用情况、相关支出及支付来源(家庭、政府、私营雇主)
- 参与旅行与未参与旅行的成年人口的社会人口统计学特征
- 旅行团组成结构
TSRC数据的主要使用者包括加拿大统计局、加拿大旅游委员会、各省级政府及旅游管理机构,其他使用者涵盖媒体、企业、咨询机构与研究人员。
提供机构:
Borealis创建时间:
2023-07-11
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是加拿大统计局发布的2015年加拿大居民旅行调查的访问文件,专注于国内旅行的微观数据,旨在量化旅行的规模、特征和经济影响。它提供了详细的访问层面信息,包括旅行地点、支出、交通方式等,共包含103573个观测值和39个变量,适用于旅游业的统计分析和研究。
以上内容由遇见数据集搜集并总结生成




