Exploring Daily Activity Pattern Using Spatio-Temporal Statistics with R for Predicting Trip Production
نویسندگان
چکیده
Spatio-temporal data modelling is one of the methods in analysis that uses space (spatial) and time (temporal) approaches. This study used statistical to observe daily activity patterns people. selected for support activity-based transportation demand. research identifies community mobility will provide trip production demand prediction. Using benefit this because model can make components a physical system appearing be random. Even if they are not, models helpful as have accurate precise predictions. In study, descriptive was used. Incorporating distributions into natural way solve problem. collects from 400 respondents recorded every 15 minutes. From data, pattern respondents’ activities formed, which analyzed using R. Software R also visualizes on modelling. aims depict predict production. found three clusters with specific groups member between workdays holidays.
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ژورنال
عنوان ژورنال: Enthusiastic
سال: 2023
ISSN: ['2798-3153', '2798-253X']
DOI: https://doi.org/10.20885/enthusiastic.vol3.iss1.art6