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LAX Project

Zenaida A. Barredo Alley Cheung Arsen Der- Aphrahamian Lucy Harutyunyan Lernik Rostami Gevik Shahverdi. LAX Project. Why Tom Bradley ?. It's an international terminal. Therefore, it is very busy most of the time, and there are enough passengers to sample for our project.

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LAX Project

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  1. Zenaida A. Barredo Alley Cheung Arsen Der-Aphrahamian Lucy Harutyunyan LernikRostami GevikShahverdi LAX Project

  2. Why Tom Bradley ? • It's an international terminal. Therefore, it is very busy most of the time, and there are enough passengers to sample for our project.

  3. What was measured ….. • Loading/Unloading time • Number of cars passing by vs. stopping at departure • Means of transportation (taxi, bus, shuttle, private car) • Reason of trip (vacation vs. business) • Local vs. visiting passengers

  4. What we found out… • Taxis do not create traffic. In fact, private cars create the traffic because: • They are lost • Loading/unloading takes longer • Saying good bye to their relatives (hugging, emotions, etc.) which is time consuming • Also, taxis have specific spots to load/unload passengers and luggages

  5. Video • Video

  6. Layout of LAX

  7. Methodology • Surveys with taxi drivers & traffic enforcement officers. • Compared cars passing by and cars stopping. • Measured loading and unloading time. • Survey with passengers to establish what determines decision in their choice of transportation. • Quantitative Measures- Anova, Binomial, F-test, Inference about Pairs of treatment Means.

  8. Probabilities of Vehicles to take <1minute to load/unload

  9. Probabilities of Vehicles to take 1.1-2 minutes to Load/Unload

  10. Probabilities of Vehicles to take >2 minutes to load/unload

  11. Probabilities of Vehicles Stopping By

  12. Probabilities of Vehicles Passing By

  13. ANOVA Departure

  14. ANOVA Arrival

  15. Box plot comparison of 115 observations • loading and unloading times for Taxis, shuttles and POVs • Departure area

  16. Box plot comparison of 137 observations • loading and unloading times for Taxis and POVs • Arrival area

  17. Anova- Taxi vs Non-Taxi

  18. Anova- Local vs. Visitors

  19. Anova- Business vs. Vacation

  20. ANOVA- Taxi vs. Private Car

  21. Comparison of 50 observations based on three different categories • Passengers (groups) who took a taxi vs. passengers who chose other vehicles • Local passenger (groups) vs. visitors • Business travelers vs. leisure travelers (count of parties)

  22. Box plot comparison of 50 observations based on three different categories • Passengers (groups) who took a taxi vs. passengers who other vehicles • Local passenger (groups) vs. visitors • Business travelers vs. leisure travelers (count of parties)

  23. Conclusion • No conclusion on why travelers chose to take taxi • Failed to find a relationship between • Locals vs. Visitors • Business vs. Leisure • Taxi Cab vs. Other Transportations • Thus, these factors do not matter • Private cars are the most counted to load/unload passengers • Private vehicles take a significantly longer time to load and unload • Traffic congestion in LAX is mainly caused by private cars not taxi cabs

  24. Recommendations • Increase uniformed personnel/traffic coordinators • Limit the loading and unloading time at curbside to 2 minutes • Strictly enforce traffic regulations • Set up electronic signs • Send out traffic alerts within LAX • Provide alternate location for passengers in tour groups • Provide 15 minutes free parking

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