International Passenger Survey, 1997

<P>Abstract copyright UK Data Service and data collection copyright owner.</P>The <i>International Passenger Survey</i> (IPS) aims to collect data on both credits and debits for the travel account of the Balance of Payments, provide detailed visit information on overseas visitors to the United Kingdom (UK) for tourism policy, and collect data on international migration.<br><br>There are three versions of the IPS data, the travelpac version the simplest both in format and ease of use, the reduced version used for fuller queries but restricted in the number of variables and the main data for expert users which contain all analysable variables.<br>
Travelpac dataset - for simple data queries, users may prefer to use these data as they are extremely simple and can be joined together to form a time series. The results should be consistent with those published by ONS in Travel Trends. <br>
Reduced dataset - the depositor recommends using this dataset for fuller queries as it contains most of the important analysable information and will due to their nature be much easier to understand and tabulate. Although the variable list is the same from year to year, care must be taken with these files when trying to perform time series operations as codes can also vary from year to year for some variables. <br>
Main dataset - The depositor recommends that only expert users who are very familiar with the coding and weighting structures use this dataset as limited support is available. Some considerable understanding of the data is required before meaningful analyses can be made, care must be taken when performing time series operations as codes can vary from year to year and not all variables from one years dataset are used in other years. The data comprises four files, ALCOHOL, AIRMILES, QREGTOWN and QCONTACT with four quarters per file, with the exception of ALCOHOL which covers all four quarters in one file. These can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER. The weighting of IPS data is complex and done in several stages. When working with the system weights, great care should be taken to read the documentation concerning weighting procedures as not all records are treated in exactly the same way (this does not apply to the smaller datasets).<br><B>Main Topics</B>:<BR><br>The travelpac dataset for 1997 contains the following 14 variables:<br>
Year; quarter; ukos; mode of travel; purpose of visit; package tour; country of visit/residence; age group; gender; length of stay; visits; expenditure; number of nights spent on trip; sample.<br>
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The reduced dataset for 1997 contains the following 24 variables:<br>
Year; quarter; month; flow; purpose of visit; package tour; country of visit/residence; states within countries for overseas residents; United Kingdom counties; nationality of contact; age group; gender; people; United Kingdom airport, sea route or tunnel mode; direct leg overseas port; final overseas port; ossport; mode of travel used; number in vehicle; type of flight; class of travel; number of nights spent on trip; expenditure; weight of contact.<br>
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The main dataset for 1997 contains 128 variables and covers:<br>
AIRMILES - quarter; month; flow; serial; United Kingdom port or route; direct leg overseas port; final overseas port; distance from United Kingdom port to first port; from first to second port; from United Kingdom port to second port. <br>
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ALCOHOL - year; quarter; month; flow; serial; money spent on spirits; wine; beer; tobacco.<br>
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QREGTOWN - year; quarter; month; flow; serial; towns stayed in overnight; number of nights spent in towns; expenditure in towns; regional stay weight; regional visit weight; regional expenditure weight; various validation checks.<br>
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QCONTACT - year; quarter; month; flow; serial; nationality; country of visit/residence; United Kingdom counties; date visit began; purpose of visit; business reason; intended length of stay; number of people; package tour and cost; expenditure pre, post and during visit; flight prefix and suffix; first and second carrier air or shipping line; direct leg overseas port; final overseas port; long or short haul; United Kingdom airports; type of vehicle; number travelling in vehicle; fare type and cost; class of travel; business trip; type of flight; flight origin and destination; gender; age group; United Kingdom port or route; quality of response; date of interview; money transfer, total expenditure; weighting variables; various validation checks.

<P>摘要版权归英国数据服务（UK Data Service）及数据收集版权所有者所有。</P>《<i>国际旅客调查</i>》（International Passenger Survey，IPS）旨在为国际收支平衡表（Balance of Payments）中的旅行账户收集贷方与借方数据，为英国（United Kingdom，UK）旅游政策提供海外访客的详细访问信息，并收集国际移民相关数据。<br><br>IPS数据包含三个版本：Travelpac版（格式与易用性均为最简）、简化版（适用于更全面的查询，但变量数量受限）以及面向专家用户的主数据集（包含所有可分析变量）。<br>Travelpac数据集 - 适用于简单数据查询，用户可能更倾向于使用该版本，因其极度简洁且可拼接为时间序列。其结果应与英国国家统计局（ONS）在《旅游趋势》中发布的数据保持一致。<br>简化数据集 - 数据保管方建议将其用于更全面的查询，因其包含多数重要可分析信息，且本质上更易于理解与制表。尽管各年度变量列表相同，但执行时间序列操作时需注意，部分变量的编码可能因年份而异。<br>主数据集 - 数据保管方建议仅由熟悉编码与权重结构的专家用户使用，且相关支持有限。进行有意义的分析前，需对数据有深入理解；执行时间序列操作时需注意，编码可能因年份而异，且并非所有年度数据集的变量均通用。该数据集包含四个文件：ALCOHOL、AIRMILES、QREGTOWN与QCONTACT。其中，除ALCOHOL文件将四个季度的数据整合于一处外，其余文件均按季度划分（每个文件含一个季度数据）。这些文件可通过变量YEAR、SERIAL、FLOW与QUARTER进行拼接。IPS数据的权重计算复杂，需经多阶段完成。使用系统权重时，需仔细阅读关于权重计算流程的文档，因并非所有记录的处理方式完全相同（此点不适用于较小的数据集）。<br><B>主要主题</B>:<BR><br>1997年Travelpac数据集包含以下14个变量：<br>Year；quarter；ukos；旅行方式；访问目的；包价旅游；访问/居住国；年龄组；性别；停留时长；访问次数；支出；旅行过夜数；样本。<br><br>1997年简化数据集包含以下24个变量：<br>Year；quarter；month；flow；访问目的；包价旅游；访问/居住国；海外居民所在国家的州；英国郡；联系人国籍；年龄组；性别；人数；英国机场、海运路线或隧道方式；直飞海外港口；最终海外港口；ossport；使用的旅行方式；车辆内人数；航班类型；旅行舱位；旅行过夜数；支出；联系人权重。<br><br>1997年主数据集包含128个变量，涵盖：<br>AIRMILES - quarter；month；flow；serial；英国港口或路线；直飞海外港口；最终海外港口；英国港口至首个港口的距离；首个港口至第二个港口的距离；英国港口至第二个港口的距离。<br><br>ALCOHOL - year；quarter；month；flow；serial；烈酒支出；葡萄酒支出；啤酒支出；烟草支出。<br><br>QREGTOWN - year；quarter；month；flow；serial；过夜停留城镇；城镇过夜数；城镇支出；区域停留权重；区域访问权重；区域支出权重；各类验证检查。<br><br>QCONTACT - year；quarter；month；flow；serial；国籍；访问/居住国；英国郡；访问开始日期；访问目的；商务原因；预期停留时长；人数；包价旅游及费用；访问前、访问中及访问后的支出；航班前缀与后缀；第一及第二承运航空或航运公司；直飞海外港口；最终海外港口；长途或短途；英国机场；车辆类型；车辆内人数；票价类型及费用；旅行舱位；商务旅行；航班类型；航班出发地与目的地；性别；年龄组；英国港口或路线；响应质量；采访日期；资金转移；总支出；权重变量；各类验证检查。