Identifying and Segmenting Commuting Behavior Patterns Based on Smart Card Data and Travel Survey Data
نویسندگان
چکیده
منابع مشابه
Perspectives on Stability and Mobility of Passenger's Travel Behavior through Smart Card Data
Existing studies have extensively used temporalspatial data to mining the mobility patterns of different kinds of travelers. Smart Card Data (SCD) collected by the Automated Fare Collection (AFC) systems can reflect a general view of the mobility pattern of the whole bus and metro riders in urban area. Since the mobility and stability are temporally and spatially dynamic and therefore difficult...
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Service reliability is a key performance measure for transit agencies in increasing their service quality and thus ridership. Conventional reliability metrics are established based on vehicle movements and thus do not adequately reflect passenger’s experience. In the past few years, the growing availability of smart card data allows shifting the reliability measures from vehicle’s to passenger’...
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The availability of large amounts of mobility data has stimulated the research in discovering patterns and understanding regularities. Comparatively, less attention has been paid to the study of variability, which, however, has been argued as equally important as regularities, since variability identifies diversity. In a transport network, variability exists from person to person, from place to...
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introduction: nowadays different countries benefit from health system based on health cards and projects related to smart cards. lack of facilities which cover this technology is obvious in our society. this paper aims to design minimum data sets of health smart card system for iran. methods: this research was an applied descriptive study. at first, we reviewed the same projects and guidelines ...
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ژورنال
عنوان ژورنال: Sustainability
سال: 2020
ISSN: 2071-1050
DOI: 10.3390/su12125010