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Development of a Transit Model Incorporating the Effects of Accessibility and Connectivity

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Title: Development of a Transit Model Incorporating the Effects of Accessibility and Connectivity


1
Development of a Transit Model Incorporating the
Effects of Accessibility and Connectivity
9th Conference on the Application of
Transportation Planning Methods Baton Rouge,
Louisiana April 6-10, 2003
2
Research Team
  • Ram M. Pendyala
  • Dept of Civil Environmental Engineering, Univ
    of South Florida, Tampa
  • Steve Polzin Xuehao Chu
  • Center for Urban Trans Research (CUTR), Univ of
    South Florida, Tampa
  • Seongsoon Yun
  • Gannett Fleming, Inc., Tampa
  • Fadi Nassar
  • Keith Schnars PA, Fort Lauderdale
  • Project Manager Ike Ubaka
  • Public Transit Office, Florida Dept of
    Transportation, Tallahassee
  • Programming Services Gannett Fleming, Inc.

3
Outline
  • Background
  • History of transit model development in Florida
  • BEST 3.0 Third generation transit model system
  • Role of accessibility and connectivity
  • BEST 3.0 methodology
  • Accessibility/connectivity methodology
  • Model development
  • Data
  • Estimation
  • Application

4
Background
  • Transit systems planning and analysis
  • Accessibility
  • Availability
  • Quality of Service
  • Ridership
  • Temporal Characteristics
  • Transfers
  • Route/Network Design
  • Fare Policies and Structure
  • Alternative Modal Options/Technologies/Route
    Types
  • Disaggregate Stop-Level Analysis

5
History of Transit Model Development
  • FDOT Public Transit Office very proactive in
    transit planning tool development
  • TLOS, FTIS, and INTDAS examples of transit
    planning and information tools
  • Transit ridership modeling tools
  • ITSUP Integrated Transit Demand Supply Model
  • RTFAST Regional Transit Feasibility Analysis
    Simulation Tool
  • Powerful stop-level ridership forecasting models

6
Stop-Level Ridership Forecasting
  • First generation ITSUP sensitive to demographic
    variables and frequency and fare of service
  • Second generation RTFAST accounted also for
    network connectivity (destination possibilities)
  • Desire transit ridership forecasting model that
    accurately accounts for accessibility/connectivity
  • Third generation model called BEST 3.0
  • Boardings Estimation and Simulation Tool

7
BEST 3.0
  • Model estimates number of boardings at stop by
  • Route
  • Direction
  • Time period
  • Model estimates two types of boardings
  • Direct Boardings Walk and Bike Access
  • Transfer Boardings Transit Access

8
Separating Direct and Transfer Boardings
  • Consider two types of stops, i.e., stops with no
    transfer possibility and transfer stops
  • Estimate direct boardings model using data from
    non-transfer stops
  • Apply direct boardings model to transfer stops to
    estimate direct boardings at transfer stops
  • Subtract estimated direct boardings from total
    boardings to estimate transfer boardings
  • Then estimate transfer boardings model

9
Role of Accessibility and Connectivity
  • Transit ridership strongly affected b y
  • Destination accessibility
  • Temporal availability
  • Network connectivity
  • Desire to have BEST 3.0 sensitive to all three
    aspects of transit accessibility
  • Ability to test effects of alternative route and
    network design configurations on transit
    boardings
  • Sophisticated methodology incorporated into BEST
    3.0

10
BEST 3.0 Methodology
  • s refers to stop on a route in a given direction
    and n refers to time period
  • D direct boardings
  • R number of bus runs
  • B vector of buffer characteristics
  • Oi vector of accessibility to characteristics
    of buffer areas for Hi stops, i 2, 3, 4, 5
  • X vector of other route and stop characteristics

11
BEST 3.0 Methodology
  • T transfer boardings
  • O1 vector of accessibility of boarding at H1
    stops during period n toward stop s
  • Y vector of other route and stop
    characteristics
  • Methodology thus includes both direct and
    transfer boardings equations
  • Accessibility vectors play major role

12
Definition of Stops
  • Stops are defined with three pieces of
    information
  • Physical location
  • Route
  • Direction
  • Example 1
  • 2 routes intersect
  • Example 2
  • 4 routes serve one location in the same direction

13
Neighboring Stops
  • N1 Neighboring stops along the same route
  • N2 Stops along the same route but in the
    opposite direction that lead to different
    destinations providing the same opportunities.
  • N3 Neighboring stops along other routes that
    lead to different destinations providing access
    to opportunities for the same activities.
  • N4 Neighboring stops along other routes that
    lead to the same destinations. These routes may
    or may not share the same roads with the
    particular route in question

14
Neighboring Stops (N1)
  • N1 Neighboring stops along the same route

Stop in Question
15
Neighboring Stops (N2)
  • N2 Stops along the same route but in the
    opposite direction that lead to different
    destinations providing the same opportunities

Stop in Question
16
Neighboring Stops (N3)
  • N3 Neighboring stops along other routes that
    lead to different destinations providing access
    to opportunities for the same activities

14
14
14
14
14
Stop in Question
17
Neighboring Stops (N4)
  • N4 Neighboring stops along other routes that
    lead to the same destinations these routes may
    or may not share the same roads with the
    particular route in question

Stop in Question
18
Competing Routes/Stops
  • Notion of neighboring stops effectively captures
    effects of competing routes/stops
  • Riders may choose alternative stops, routes,
    destinations for pursuing activities
  • Need to identify and define upstream and
    downstream stops that can be reached using
    neighboring stops
  • Define series of stops, H1 through H5, identified
    by network connectivity

19
Accessible Stops Illustration Network
1
2
4
3
Route 1
7
5
8
6
14
Route 2
14
14
14
10
11
12
9
Route 3
15
16
13
14
Route 4
Route 5
Route 7
Route 8
Route 6
20
Neighboring Stops Illustration Network
  • Network
  • 8 routes (each two way)
  • 16 nodes (n1, , 16)
  • 64 stops (nX, n1,, 16 XN,S,E,W)
  • Neighboring Stops
  • N1 2S
  • N2 6N
  • N3 6W, 6E
  • N4 6W, 6E

21
Accessible Stops Illustration Network
  • H1 1S, 1E, 2E, 2W, 3E, 3W, 3S, 4W, 4S, 5E, 7W,
    8W, 9N, 9E, 10W, 10E, 11W, 11E, 12N, 12W, 13N,
    13E, 14W, 14E, 15W, 15E, 16W, 16N
  • H2 1W, 2N, 3E, 4E, 5S, 7S, 8S, 9S, 11S, 12S,
    13S, 15S, 16S
  • H3 1N, 3N, 4N, 5N, 7N, 8N, 9W, 9N, 10S, 11E,
    11N, 12E, 12N, 13S, 13W, 14S, 15E, 15S, 16E, 16S
  • H4 1N, 1W, 2E, 2W, 3N, 3E, 3W, 4E, 4N, 5W, 5N,
    7E, 8E, 9S, 10E, 10W, 11E, 11W, 12S, 12E, 13S,
    13W, 14E, 14W, 15E, 15S, 15W, 16S, 16E
  • H5 1N, 1W, 3N, 3E, 3W, 4E, 4N, 5W, 5N, 7E, 8E,
    9S, 10E, 10W, 11E, 11W, 12S, 12E, 13S, 13W, 14E,
    14W, 15E, 15S, 15W, 16S, 16E

22
Defining Accessible Stops
  • H1 includes stops that can reach the N3 and N4
    neighboring stops (Interest boardings)
  • H2 includes upstream stops that can be reached
    from the N2 stops (Interest buffer area)
  • H3 includes stops downstream that can be reached
    from stop in question through route serving the
    stop in question via the transit network
    (Interest buffer area)
  • H4 includes stops that can be reached from the N3
    and N4 neighboring stops (Interest buffer area)
  • H5 includes stops in H4 that overlap with stops
    in H3 (Interest overlapped area)

23
Computing Transit Accessibility
  • Two components of transit accessibility
  • Access/egress at stop in question
  • Accessibility from stop to all other stops in
    network
  • Access/egress at stop in question measured
    through simple air-distance buffer distance
  • Accessibility from one stop to all other stops in
    network uses gravity-type measure

24
Computing Transit Accessibility
  • Oi is the measure(s) of accessibility included in
    the boarding equations
  • Q represents buffer characteristics of stops in
    H2 through H5 and boardings at stops in H1
  • G represents impedance from stops in H1 and
    impedance to stops in H2 through H5
  • b is gravity model parameter
  • Impedance measured by generalized cost of
    traveling from one stop to another

25
Computing Impedance, G
  • Components of impedance
  • First wait time
  • First boarding fare
  • In-vehicle time
  • Transfer wait time
  • Number of transfers
  • Transfer walking time
  • Transfer fare
  • Model sensitive to host of service characteristics

26
Components of Impedance, G
Components
Unit
Value/Source
Symbol
Weight
Symbol
Value
First-wait time
Minutes
Half of first headway with a cap of 30
FWT
WFWT
3.0
First-boarding fare
Dollars
Base cash fare
FBF
WFBF
1/v
Minutes
Cumulative scheduled travel time
IVL
WIVL
1.0
In-vehicle-time
Minutes
TWT
WTWT
3.0
Transfer-wait time
Headway of transfer stop if no coordination and
deviation if coordinated for up to two transfers
Number of transfers
Number
Up to two
NTF
WNTF
5.0
Transfer-walking time
Minutes
Time to transfer stops at 3 mph
TWK
WTWK
1.5
Transfer-boarding fare
Dollars
Base cash fare for transfers
TBF
WTBF
1/v
v half of average hourly wage rate in service
area
27
Model Functionality
  • BEST 3.0 will retain user functionality from
    first two generations
  • GIS interface for database setup and displays
  • Sets of default equations by time period
  • Automated buffering
  • Automated accessibility and impedance
    computations
  • Report generation including performance measures

28
Model Development
  • BEST 3.0 software development underway
  • Model estimation using APC data from
    Jacksonville, Florida
  • Using Census 2000 data for socio-economic
    variables
  • Programming accessibility and impedance
    computation capability at this time
  • Anticipated release of software in late summer or
    early fall

29
Conclusions
  • BEST 3.0 will provide a powerful framework for
    modeling transit ridership at stop level
  • Incorporates effects of accessibility and
    connectivity on ridership
  • Accessibility and impedance computations very
    sophisticated and accurate
  • More precisely accommodates effects of service
    span and frequency (temporal aspects)
  • Focus on ease of use and quick response capability
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