Intercity commute patterns in central Texas

F. Benjamin Zhan; Xuwei Chen

doi:10.1117/12.812844

5 November 2008 Intercity commute patterns in central Texas

F. Benjamin Zhan, Xuwei Chen

Proceedings Volume 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics; 71442N (2008) https://doi.org/10.1117/12.812844
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

There are highly populated regional corridors that connect multiple cities in different parts of the world. Public transportation is believed to be a good solution to ease traffic congestions in these corridors. To make informed decisions about public transportation planning, we must have a clear picture about commuting patterns in a corridor. Although the study of commute patterns has a long tradition in urban planning, urban geography, and transportation analysis, the examination of intercity commute patterns in urban corridors consisting of multiple cities has received limited attention. This study aims to achieve a better understanding of intercity commute patterns and flows in a five-county study area in Central Texas. We used GIS methods and network analysis procedures to analyze the U.S. 2000 Census Transportation Planning Package (CTPP) Part 3 Journey-to-Work data. Results from the analyses suggest that: (1) most (greater than 97%) of the workers with their homes in the five-county area also worked in the area; (2) the number of people who worked in the five-county area exceeded the number of people who had their homes in the area; and (3) most of the intercity commuting trips were between cities located within the same metropolitan area.

Citation Download Citation

F. Benjamin Zhan and Xuwei Chen "Intercity commute patterns in central Texas", Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71442N (5 November 2008); https://doi.org/10.1117/12.812844

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