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Structure of the presentation. IntroductionLiterature ReviewPurpose of the StudyHypothesesMethodologyFindingsConclusions. Introduction. The land-use transportation interaction Empirical evidence of the built environment's impact on travel demandLand-use intensification and mixed land uses
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1. Joint Development of Land Use and Light Rail Stations The Case of Tel Aviv ???? ???
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2. Structure of the presentation Introduction
Literature Review
Purpose of the Study
Hypotheses
Methodology
Findings
Conclusions ??? ????? ?????? ??????, ??? ????? ?? ???? ????? ????, ??"? ????? ?? ????? ???? - ?????, ???????, ??????,
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3. Introduction The land-use transportation interaction
Empirical evidence of the built environment’s impact on travel demand
Land-use intensification and mixed land uses – their impact on transit use
The role and function of Light Rail Transit - LRT
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(Handy, Ewing, )
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(Handy, Ewing, )
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4. What can light rail transit do? at the micro level
Enhancing accessibility
“Getting people out of their cars”
at the macro level
Relieving traffic congestion
Reducing emissions
Rejuvenating urban centres
Stimulating economic growth
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5. Tel Aviv as a case study 1st light rail line in Tel Aviv, due to open in 2010.
Connects 4 major cities
The stations location was based on travel demand
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6. The built environment and travel demand Impacts on daily travel demand:
Intensified areas attract trips
Mixed land uses around LRT stations induce transit use and walking/cycling
Trip generation is not affected by land use ??????
?????? ?????? ?????? ???? ?????? - ???? ?????? ????? ?????? ?? ????? ????????, ??????? ??? ????? ????? ?????? ??????, ?? ??? ????? ????? ????
?????? ????, ????, ?? ?????? ?? ????? ?????? – ????? ????? ???? ?? ??? ???? ?????? ?????? ??????. ????? ??????? ???? ????? ???? ????? ????? ???????, ??? ?????????? ???????? ?????.
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7. Methodology Land uses and travel demand ???? ????? ????? ? – 2 ??????
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???? ????? ????? ? – 2 ??????
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8. Land Use Scenarios ?????? ?????? ??????? ??????? ?????? ????? ???"?, ?????? ???' ???????-????? ?????? ???????? ??????? ????? ??????????????? ?????? ??????? ??????? ?????? ????? ???"?, ?????? ???' ???????-????? ?????? ???????? ??????? ????? ?????????
9. High densities - Scenario 1 ?????? ?????? ??????? ??????? ?????? ????? ???"?, ?????? ???' ???????-????? ?????? ???????? ??????? ????? ??????????????? ?????? ??????? ??????? ?????? ????? ???"?, ?????? ???' ???????-????? ?????? ???????? ??????? ????? ?????????
10. High densities - Scenario 2 ?????? ???? ???? ???, ?? ???????? ???? ?????? ???????? ?? ???????, ?????????? – ???????-??????????? ???? ???? ???, ?? ???????? ???? ?????? ???????? ?? ???????, ?????????? – ???????-?????
11. High densities - Scenario 3 ?????? ?? ?????? ???????? ????? ??? ?????? ????? ???"?
????? ???????? ????? ??? ????? – ???? ???? ????????, ???? ???? ????? ?????? ???? ??????? ???? ??? ??? ???? ????????????? ?? ?????? ???????? ????? ??? ?????? ????? ???"?
????? ???????? ????? ??? ????? – ???? ???? ????????, ???? ???? ????? ?????? ???? ??????? ???? ??? ??? ???? ???????
12. Mixed uses - Scenario 4 ?????? ?????? – ???? ??? ??????
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13. Models calibrated ????? ???? – ???? ?????? ?????? ??????? ??????? ??????? ????
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???"? ????? 40 ?????? ?????? ??????, ? 50 ?????? ?????? ?????? ?? ???? ?????
14. 2. Calibration of the NTA Model Focus on the first 2 steps of the trip forecast models – generation & attraction
Retrofitting the models with land use variables
Job density, Job-population balance, workforce-population (variables found significant and positive)
Population density, workforce density (variables found insignificant and/or negative) Nta model - 5 trip purposes
Data limitations
The reason for focusing on he 1st 2 steps of the forecast models
Nta model - 5 trip purposes
Data limitations
The reason for focusing on he 1st 2 steps of the forecast models
15. Findings – trip generation ????? ??? ????? ?? ???? ????? ??????? ?? ????? ?????? ??? ??????? ???????? ??????? ???????? ??? ?????, ???? ?????? 4??????, ???? ???? ????.
???? – ??????? ????? ?? ?????? ?????? ?????? ???? ?????? ???? ???, ???? ??????? ??????? ?????? ???? ????????.
????? ??????? – ??? ????? ????? ???? ?????? ?????. ????? ??? ????? ????? ????? ????? ??????? ??????
???? ??? ?????? ?????? ?????? – ?????? ????? ??? ??? ??????? ????? ??????? ????? ???? ?????. ??? ?? ???? ?????? ?????? ?????? ?????? - ???? ??? ????? ??????? ??????, ?????? ?? ???? ???????? ???? ?????? ?????.
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????? ??? ?????? ????? ????????? ???, ?? ???? ???? ????, ?? ????? ?????, ????? ????? ??? ????????? ????? ????????? ??? ????? ?? ???? ????? ??????? ?? ????? ?????? ??? ??????? ???????? ??????? ???????? ??? ?????, ???? ?????? 4??????, ???? ???? ????.
???? – ??????? ????? ?? ?????? ?????? ?????? ???? ?????? ???? ???, ???? ??????? ??????? ?????? ???? ????????.
????? ??????? – ??? ????? ????? ???? ?????? ?????. ????? ??? ????? ????? ????? ????? ??????? ??????
???? ??? ?????? ?????? ?????? – ?????? ????? ??? ??? ??????? ????? ??????? ????? ???? ?????. ??? ?? ???? ?????? ?????? ?????? ?????? - ???? ??? ????? ??????? ??????, ?????? ?? ???? ???????? ???? ?????? ?????.
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16. Scenario 0 has a larger share of no employees in hh relative to all the other scenarios.
Households with less employees produce more hbo trips, at the expense of hbw trips – scenario 0Scenario 0 has a larger share of no employees in hh relative to all the other scenarios.
Households with less employees produce more hbo trips, at the expense of hbw trips – scenario 0
17. Findings – Model calibration This result is subsequent to correcting the taz’s with irregular results for job-pop balance or workforce-pop balanceThis result is subsequent to correcting the taz’s with irregular results for job-pop balance or workforce-pop balance
18. HBW model coefficients
19. Findings- Model Calibration
21. Mixed and intensified land uses attract more trips ????? ????? ?????? ??? ?????? ???? ?? ???????? ??????? ?????? ???? ?????? ??????, ????? ????? ?????? ??????, ?????? ???? ?????? ??????? ??? ?? ?????? ??? ??????????? ????? ?????? ??? ?????? ???? ?? ???????? ??????? ?????? ???? ?????? ??????, ????? ????? ?????? ??????, ?????? ???? ?????? ??????? ??? ?? ?????? ??? ??????
22. ????? ?????? ?????? ???? ??????? ??????? ???? (??????? 1-2-3) ???? ???? ??????, ??? ????? ??????. ?????? ?????? ????? ??? – ??? ??? ?????? ?????? ?????????.
????? ?????? ????? ?????? ?????? ??????? ???? ?????? ??????-????????? ??????? ?? ????? ???????, ????? ??????? ??? ???? ??? ?? 1 – ?? ???? ?????? ??????.
????? ?????? ?????? ???? ??????? ??????? ???? (??????? 1-2-3) ???? ???? ??????, ??? ????? ??????. ?????? ?????? ????? ??? – ??? ??? ?????? ?????? ?????????.
????? ?????? ????? ?????? ?????? ??????? ???? ?????? ??????-????????? ??????? ?? ????? ???????, ????? ??????? ??? ???? ??? ?? 1 – ?? ???? ?????? ??????.
23. Intensified commercial areas attract less motorized home-base commuting trips ???? ????? ?? ????? ??????? ????????? ?????? ???? ?????? ?????, ???? ??????? ????? (?? ?????? ?????? ???"? ??? ?????? ?????????) ?? ???? ??????
????? – ????? ???????????? ?????? ???? ???"? ???????? ?????? ???"? – ?? ???? ?????? ???????? ?????? ?????????? ????? ?? ????? ??????? ????????? ?????? ???? ?????? ?????, ???? ??????? ????? (?? ?????? ?????? ???"? ??? ?????? ?????????) ?? ???? ??????
????? – ????? ???????????? ?????? ???? ???"? ???????? ?????? ???"? – ?? ???? ?????? ???????? ?????? ??????
24. Findings ??? ???? ?? ????? ???? ?? ???????? ??????? ??????? ?????? ??????- ?? ????? ???? ???? ?????? ??????? – ????? ?????? ?????? ?? ???? ???? ???? ????.
??? ???? ?? ????? ???? ?? ???????? ??????? ??????? ?????? ??????- ?? ????? ???? ???? ?????? ??????? – ????? ?????? ?????? ?? ???? ???? ???? ????.
25. Lower job densities attract higher rates of home base shopping trips Scenario 4 – mixed environments- slightly higher hbs tripsScenario 4 – mixed environments- slightly higher hbs trips
26. Home Base Shopping model coefficients
27. findings Scenario 4’s high results in retrofitted model – due to the dummy variable for mixed uses
28. Main findings Intensified land uses tend to generate more motorized trips per household than mixed land uses or the base scenario
Intensified and mixed land uses attract more trips per worker ???????? ??????? ?????? ???? ?????? ???? ??? ???? ?????? ?????? ??????? ?????? ?????.
?????? ??? ????? – ???? ????? ?????
????? ???? – ??? ????? – ??? ?????? ??????? ????? ???? ????????? – ??????? ????? ?????? ????????
?????? ???? ?????? ?????? ???? ?????? ??????, ????? ??? ?????????????????? ??????? ?????? ???? ?????? ???? ??? ???? ?????? ?????? ??????? ?????? ?????.
?????? ??? ????? – ???? ????? ?????
????? ???? – ??? ????? – ??? ?????? ??????? ????? ???? ????????? – ??????? ????? ?????? ????????
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29. Conclusions Alternative land use scenarios generate and attract differential trip rates
Mixed land uses are different from intensified land uses, in terms of travel demand
High density & mixed land uses can serve as strategic decision variables in locating transit stations
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30. Thank you
31. Further research Metropolitan level forecasts
Exploring the most conducive land use mix for lrt ridership -
Before and after lrt introduction
Comparison to other lrt systems
Trip mode share
Exploring station location by trip demand and land use characteristics
32. Trip generation with same workforce ratio for all the scenarios
33. Planned LRT red line in Metropolitan Tel Aviv
34. Differences in population densities