01658662

Component

The movement of people in urban area is influenced by the distribution of home, work and other activity areas and the transportation link between them. The use of urban areas continually change and the activity patterns of significant trip generators evolves over time. Efficient public transit planning need to perform frequent estimates of the spatiotemporal distribution of different activity areas and measure the likely consequences of the changes upon transit uses. Public transit is one of the agencies that generate a variety of large volume of data on a high velocity basis. These data are obtained from on-board sensors and data collection points introduced by automated data collection system (e.g. automatic passenger count - APC). Many transit agencies also generate a General Transit Feed Specification (GTFS) data and share them openly with public. This study explores the use of APC, GTFS and land use data to examine a variety of land use and transit ridership interactions using visualization, data mining, and statistical analysis techniques. Results show that transit ridership at the individual bus stop level gives a better understanding of the unique land use that surrounds each bus stop. Zonal level transit ridership patterns reveal the different trip generation and attraction roles of the corresponding land uses. In addition, transit routes with different land use mixture generate significantly different pattern and size of ridership in the morning and afternoon peak hours.

This paper was sponsored by TRB committee AP000 Public Transportation Group.

18-03932

English

4p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

References

Automatic data collection systems; Bus stops; Data mining; Land use; Ridership; Spatial analysis; Statistical analysis; Time periods; Urban areas

General Transit Feed Specification (GTFS)

Data and Information Technology; Planning and Forecasting; Public Transportation

Transportation Research Board Annual Meeting 2018 Paper #18-03932

TRIS, TRB, ATRI

Jan 8 2018 10:58AM