Artem Chakirov and Sergio Ordóñez led a lunch-time seminar titled ‘Where and when do Singaporeans work? -Understanding work activity patterns based on public transport smart card data’.

Abstract

In order to understand people’s travel behavior and therewith flows, mobility patterns and traffic volumes, it is necessary to look at people’s daily activities, their schedules and locations. However, to obtain disaggregated information on temporal and spatial distribution of activities for large urban  areas by traditional means is a tedious and highly expensive endeavor.

In this presentation, we investigate how public transport smart card transaction data can be used to detect home and work activities. Combining this comprehensive data set with additional data sources, as travel diary survey and land-use information, we compare rule-based and more advanced discrete choice modelling approaches. Additionally, for the case of Singapore where a business census is not available, we present a methodology to estimate the number of workplaces at different schedules on a building level using optimization techniques. This level of detail is crucial for large scale activity-based transport modelling and also valuable for urban planning.

Please find the poster here: Lunch talk- Module VIII