{"title":"Activity Participation Patterns of Individuals in Sri Lanka","authors":"T.M.P. Malshan, G. De Silva","doi":"10.1109/MERCon52712.2021.9525719","DOIUrl":null,"url":null,"abstract":"Activity-based models are replacing commonly used traditional four-step models due to their high temporal and spatial resolution, integrity, interdependency, and behavioural basis. The foundation of an activity-based model is the activity participation pattern of an individual in the study area considered. This paper uses the time use survey data, collected by the Department of Census and Statistics and analyses them as the first step of building an activity-based model for Sri Lanka. Variations on weekday and weekend activity patterns were analysed separately. Since they are considerably different, the focus was on weekday activity participation patterns. The differences in activity participation patterns across gender, age, and geographical location were identified which are useful when building an activity-based model for Sri Lanka.","PeriodicalId":6855,"journal":{"name":"2021 Moratuwa Engineering Research Conference (MERCon)","volume":"478 1","pages":"487-492"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Moratuwa Engineering Research Conference (MERCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MERCon52712.2021.9525719","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Activity-based models are replacing commonly used traditional four-step models due to their high temporal and spatial resolution, integrity, interdependency, and behavioural basis. The foundation of an activity-based model is the activity participation pattern of an individual in the study area considered. This paper uses the time use survey data, collected by the Department of Census and Statistics and analyses them as the first step of building an activity-based model for Sri Lanka. Variations on weekday and weekend activity patterns were analysed separately. Since they are considerably different, the focus was on weekday activity participation patterns. The differences in activity participation patterns across gender, age, and geographical location were identified which are useful when building an activity-based model for Sri Lanka.