<codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Consumer Research on Travel in South Korea</titl><IDNo agency="DOI">doi:10.7910/DVN/TJH903</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2025-03-24</distDate></distStmt><verStmt source="archive"><version date="2025-03-25" type="RELEASED">1</version></verStmt><biblCit>Kim, YangHyeok, 2025, "Consumer Research on Travel in South Korea", https://doi.org/10.7910/DVN/TJH903, Harvard Dataverse, V1, UNF:6:4c6M6eDAzedpkVfDdDmYNQ== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Consumer Research on Travel in South Korea</titl><IDNo agency="DOI">doi:10.7910/DVN/TJH903</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Consumer Insight">Kim, YangHyeok</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><contact affiliation="Consumer Insight" email="kimyh@consumerinsight.kr">Kim, YangHyeok</contact><depositr>Kim, YangHyeok</depositr><depDate>2025-03-24</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/TJH903"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword><keyword>Travel, Tourism, Expense, Cost, South Korea</keyword></subject><abstract date="2025-03-24">This data is part of the Weekly Travel Behavior and Planning Study, one of ConsumerInsight’s five syndicated travel studies. The study aims to track and analyze trends in the Korean travel market. It covers three main areas: travel trends, current travel behavior, and future travel plans. We plan to release travel expense data on a weekly basis. Variable labels and values are embedded within the SPSS dataset. The ConsumerInsight Panel (IBP) consists of approximately 860,000 members, all of whom were selected from our annual Automobile Syndicated Study after a thorough reliability and sincerity verification process. No panel members joined voluntarily in exchange for survey rewards. For the Weekly Travel Behavior and Planning Study, participants are selected based on South Korea’s demographic composition (gender, age, and region). Invitations are sent randomly via email, and responses are collected on a first-come, first-served basis until 500 participants complete the survey. To prevent duplicate responses, any respondent is restricted from participating again within three months. The survey is conducted weekly, starting every Monday, with the first Monday of each month marking the beginning of that month’s survey cycle.</abstract><sumDscr/><notes>Data on various topics that make up the Weekly Travel Behavior and Planning Study will continue to be uploaded.</notes></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0&lt;/a></notes></dataAccs><othrStdyMat/></stdyDscr><fileDscr ID="f11028175" URI="https://dataverse.harvard.edu/api/access/datafile/11028175"><fileTxt><fileName>Travel_expense_2501w1.tab</fileName><dimensns><caseQnty>500</caseQnty><varQnty>18</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:4c6M6eDAzedpkVfDdDmYNQ==</notes></fileDscr><dataDscr><var ID="v36316375" name="RESPOND_ID" intrvl="discrete"><location fileid="f11028175"/><labl level="variable">respondent ID</labl><sumStat type="min">250294.0</sumStat><sumStat type="medn">5.3348403E7</sumStat><sumStat type="stdev">1.1761178570836684E7</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">500.0</sumStat><sumStat type="mean">5.059760576799999E7</sumStat><sumStat type="max">5.3377524E7</sumStat><sumStat type="invd">0.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:Law9HhLv/C1Z7QBMIYwZbQ==</notes></var><var ID="v36316383" name="EXAMIN_BEGIN_DE" intrvl="discrete"><location fileid="f11028175"/><labl level="variable">Survey Start date</labl><sumStat type="max">2.0250106E7</sumStat><sumStat type="stdev">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">2.0250106E7</sumStat><sumStat type="medn">2.0250106E7</sumStat><sumStat type="mean">2.0250106E7</sumStat><sumStat type="invd">0.0</sumStat><sumStat 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type="freq">82</catStat></catgry><catgry><catValu>1</catValu><labl level="category">less than 10,000 won</labl><catStat type="freq">11</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:sR4Wtff0WpzczzFmsexpBw==</notes></var><var ID="v36316379" name="TOUR_TRNSPORT_CT_VALUE" intrvl="discrete"><location fileid="f11028175"/><labl level="variable">Transportation expenses(KRW)</labl><sumStat type="mode">.</sumStat><sumStat type="stdev">1.7735905226897954</sumStat><sumStat type="min">1.0</sumStat><sumStat type="max">6.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="vald">261.0</sumStat><sumStat type="invd">239.0</sumStat><sumStat type="mean">3.3103448275862073</sumStat><catgry><catValu>5</catValu><labl level="category">70,000~100,000 won</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>1</catValu><labl level="category">less than 10,000 won</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>4</catValu><labl level="category">50,000~70,000 won</labl><catStat type="freq">48</catStat></catgry><catgry><catValu>6</catValu><labl level="category">more than 100,000 won</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>2</catValu><labl level="category">10,000~30,000 won</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>3</catValu><labl level="category">30,000~50,000 won</labl><catStat type="freq">30</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:fSZqHMFYUn3XFwz9YuMuQA==</notes></var><var ID="v36316367" name="TOUR_SHOPNG_CT_VALUE" intrvl="discrete"><location fileid="f11028175"/><labl level="variable">Shopping expenses(KRW)</labl><sumStat type="mean">1.8773946360153255</sumStat><sumStat type="invd">239.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">261.0</sumStat><sumStat 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10,000 won</labl><catStat type="freq">132</catStat></catgry><catgry><catValu>3</catValu><labl level="category">30,000~50,000 won</labl><catStat type="freq">12</catStat></catgry><catgry><catValu>6</catValu><labl level="category">more than 100,000 won</labl><catStat type="freq">18</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:s6KvIbkqFcF78Ci3uXFE+g==</notes></var><var ID="v36316372" name="TOUR_ETC_CT_VALUE" intrvl="discrete"><location fileid="f11028175"/><labl level="variable">Other(KRW)</labl><sumStat type="mode">.</sumStat><sumStat type="max">6.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="invd">239.0</sumStat><sumStat type="mean">1.4061302681992336</sumStat><sumStat type="stdev">1.017066277945622</sumStat><sumStat type="vald">261.0</sumStat><catgry><catValu>6</catValu><labl level="category">more than 100,000 won</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>2</catValu><labl level="category">10,000~30,000 won</labl><catStat type="freq">27</catStat></catgry><catgry><catValu>5</catValu><labl level="category">70,000~100,000 won</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>4</catValu><labl level="category">50,000~70,000 won</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>3</catValu><labl level="category">30,000~50,000 won</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>1</catValu><labl level="category">less than 10,000 won</labl><catStat type="freq">210</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:jryu9VoWCnyYg54Pjnk5nQ==</notes></var><var ID="v36316380" name="TOUR_CTPRVN_NM" intrvl="discrete"><location fileid="f11028175"/><labl level="variable">Travel destination</labl><sumStat type="medn">6.0</sumStat><sumStat type="invd">174.0</sumStat><sumStat type="vald">326.0</sumStat><sumStat type="mean">7.861963190184049</sumStat><sumStat type="max">16.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">4.989462232024081</sumStat><catgry><catValu>6</catValu><labl level="category">ChungCheongnam-do</labl><catStat type="freq">17</catStat></catgry><catgry><catValu>10</catValu><labl level="category">Ulsan</labl><catStat type="freq">2</catStat></catgry><catgry><catValu>11</catValu><labl level="category">Busan</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>5</catValu><labl level="category">ChungCheongbuk-do</labl><catStat type="freq">20</catStat></catgry><catgry><catValu>4</catValu><labl level="category">Gyeonggi-do</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>12</catValu><labl level="category">Gyeonsangnam-do</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>15</catValu><labl level="category">Jeollanam-do</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Inchoen</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>9</catValu><labl level="category">Daegu</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>8</catValu><labl level="category">Gyeonsangbuk-do</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>7</catValu><labl level="category">Daejeon</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>14</catValu><labl level="category">Gwangju</labl><catStat type="freq">3</catStat></catgry><catgry><catValu>16</catValu><labl level="category">Jeju-do</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>3</catValu><labl level="category">Gangwon-do</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>13</catValu><labl level="category">Jeollabuk-do</labl><catStat type="freq">16</catStat></catgry><catgry><catValu>2</catValu><labl level="category">Seoul</labl><catStat 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Consumer Research on Travel.pdf</labl><txt>Introduction of the 'Weekly Travel Behavior and Planning Study' and Travel expense data</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat><otherMat ID="f11028174" URI="https://dataverse.harvard.edu/api/access/datafile/11028174" level="datafile"><labl>Travel_expense_codebook.pdf</labl><txt>Variable Codebook of Travel_expense.sav</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat></codeBook>