| Summary: | 碩士 === 中國文化大學 === 建築及都市設計學系 === 99 === After plotting a traffic pulse chart based on the number of entry and exits of the stations on the Taipei MRT Blue Line between 2000 to 2008, this study observed a steady increase in the number of annual trips on the Blue Line. By dividing the numbers of trips taken on the entire MRT system in 2008 with those taken on the Blue Line, the inbound traffic rate is 53.77 %, and the outbound rate is 52.85 %, indicating that over half the traffic of the Taipei MRT system is on the Blue Line, both outbound and inbound, which clearly demonstrates the significance of the Blue Line to the overall operation of the Taipei MRT system.
The traffic pulse chart consists of the radar charts for both inbound and outbound traffic, and the run chart of travel behavior. When the outbound traffic exceeds the inbound, the traffic is outbound-oriented; when inbound traffic exceeds the outbound, the traffic is inbound-oriented. The run chart of travel behavior shows that the frequency of the trips taken on the Blue Line moves on a seven-day cycle. When Peak hours on weekdays and off-peak hours on weekends and holidays means that the travel is commuting oriented; peak hours on Fridays and slack hours on Sundays indicates an integrated purpose, or travel for both commuting and recreational activities.
Based on the disparity between the number of trips entering and exiting the stations, and the periodic change in MRT trips between weekdays and weekends, seven patterns of travelling on the Taipei MRT Blue Line can be identified as follows:
AI. Commuting-oriented outbound;
AII. Integrated outbound pattern;
BI. Commuting-oriented inbound pattern;
BII. Integrated inbound pattern;
AIII. Taipei Main Station pattern;
A IV. Ximen Station recreational activity pattern;
AV. Zhongxiao Fuxing Transfer Station pattern.
These patterns also reveal the relationship between the interacting segments of the Blue Line rail system and the number of trips. Attempts are made to verify the future directions for urban planning based on the results found in current transportation and urban planning.
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