project description & goals
DESCRIPTION
Project description & goals. The Trip Demand Synthesis Process and the aTaxi + Rail Transit Mobility Concepts By Julia Phillips Hill Wyrough. The Need for Change. New Jersey has 3 rd longest commute time in nation 1 Average NJ commuter in traffic over 52 hrs / yr - PowerPoint PPT PresentationTRANSCRIPT
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PROJECT DESCRIPTION& GOALSThe Trip Demand Synthesis Process and the aTaxi + Rail Transit Mobility ConceptsByJulia PhillipsHill Wyrough
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The Need for Change• New Jersey has 3rd longest commute time in nation1
• Average NJ commuter in traffic over 52 hrs/yr
• Average cost of NJ traffic is $8.3 billion – equivalent to $1,465 per licensed NJ driver
• Total of $345 million in fuel wasted in congestion per annum
1 US Census Bureau 20052 NJIT 2007 – Alternative Performance measures for Evaluating Congestion3 Ibid.4 Ibid.
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Potential within aTransportation• Reduce congestion through ridesharing and greater
utilization of existing NJT railway infrastructure
• Reduce fuel consumption and spending, minimize environmental impact
• Improve highway safety by removing human error
• Create a mode of transportation superior in efficiency, comfort, and availability to existing modes
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aTaxi System• Autonomous Transit as a subgroup of Personal Rapid
Transit• No new infrastructure• Both spatially and temporally specific
• Preexisting technology
• Ability to meet existing demand currently met by automobile industry as well as demand of those presently lacking access to personal transportation
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Goal of ORF467 aTaxi Project• To assess the potential for ridesharing in New Jersey as
comprehensively as possible • Increase accuracy of data extrapolated by trip generator
through continued collection of real data
• Bulid upon Fall 2012’s findings regarding improved efficiency with relaxation of constraints to: • Destination pixel size (CD – common destination) • Wait times (DD – departure delays)
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Fall 2013 Advancements• Substantially improved employment and patronage data
by:• Correcting data for major employers• Using patronage data and total sales numbers to more accurately
produce employee data• Time of day data• Factored in NJ Railway Transit
• Multimodal trips• Intrastate rail trips
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Trip Generation• Step 1: Identify population (Age/Gender/Class of Worker)
• Generate number of residents per location• Uniform sampling of ages by range• Assign “traveler types”• Produce income data
# people, Lat, Long
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Trip Generation• Step 2: Assign place of work
• Assign a county > industry > employer per traveler of “work” type
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Trip Generation• Step 3: Assign schools
• Check person’s age/education level/enrollment• Assign to Private (~15%) and Public (~84%) schools• Dormitory students attend closest University
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Trip Generation• Step 4: Assign activity patterns
• Each resident follows a specific type of tour• Tours can consist of between 0 and 7 arcs between Home, Work, School, Other
• 17 Patterns• Type determined by specific demographic data• Averages out to 3.5-4.5 daily trips per person
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Tour Types
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Assumptions• Residents located at centroid of census blocks• Uniform distribution within age intervals• All tours begin and end at home
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Pixelation of New Jersey• Convert New Jersey into a grid system of 0.50mi x 0.50mi
pixels• Convert longitude and latitude as follows:
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Pixelation of New Jersey
NJ State Gride Zoomed-In Grid of Mercer
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Pixelation of New Jersey• Locate an aTaxi stand at the center of each pixel in NJ
• Any trip to within the pixel can be reasonably assumed to be served by nearest aTaxi stand
• All trips within New Jersey can then be converted to trips from aTaxi stand to aTaxi stand
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Deep South Jersey oTrips
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Deep South Jersey oTrips
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South Jersey oTrips
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South Jersey oTrips
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Jersey Shore oTrips
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Jersey Shore oTrips
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Route 18 Corridor oTrips
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Route 18 Corridor oTrips
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Route 206 Corridor oTrips
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Route 206 Corridor oTrips
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North Western New Jersey oTrips
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North Western New Jersey oTrips
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North New Jersey oTrips
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North New Jersey oTrips
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North East New Jersey oTrips
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North East New Jersey oTrips
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Out of State oTrips
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Out of State oTrips
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Trip Type Distributions for NJ
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Distribution of oaTaxiTrips: Hunterdon
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Distribution of oaTaxiTrips: Atlantic
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Distribution of oaTaxiTrips: Salem
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Distribution of oaTaxiTrips: Sussex
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Distribution of oaTaxiTrips: Warren
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Distribution of oaTaxiTrips: Bergen
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Distribution of oaTaxiTrips: Cape May
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Distribution of oaTaxiTrips: Cumberland
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Distribution of oaTaxiTrips: Essex
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Distribution of oaTaxiTrips: Mercer
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Distribution of oaTaxiTrips: Hudson
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Mode Split Model• 3 modes
• Walking/Bicycling• NJ Transit railway• aTaxis
• Walking/Bicycling • Intrazonal• oPixel adjacent to dPixel
• Train• All trips to/from NYC or Philadelphia• Trips originating or ending near train stations• Can be combined with aTaxi and/or walking
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Mode Split Model
NJ Transit Rail Lines Congested Roadways NJDOT Statewide Capital Investment Strategy FY2008
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Geographic Distribution of oTrainTrips
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Geographic Distribution of ShortTrips
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Geographic Distribution of oaTaxiTrips
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Breakdown of Trip Types