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Transport Accessibility Analysis with ENIF and Railplan. Matt Carlson, Arup. Steve Miller, Transport for London. Introduction. Transport for London The Railplan Model The Capital Model Accessibility Analysis with ENIF. Transport for London.

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Transport accessibility analysis with enif and railplan l.jpg

Transport Accessibility Analysis with ENIF and Railplan

Matt Carlson, Arup

  • Steve Miller, Transport for London


Introduction l.jpg

Introduction

  • Transport for London

  • The Railplan Model

  • The Capital Model

  • Accessibility Analysis with ENIF


Transport for london l.jpg

Transport for London

  • Transport for London (TfL) is the integrated body responsible for London's transport system.

  • Its role is:

    • to implement the Mayor's Transport Strategy for London

    • manage the transport services across the capital for which the Mayor has responsibility.

  • TfL manages:

    • London's buses,

    • The Underground,

    • Docklands Light Railway (DLR)

    • London Trams.


The railplan model l.jpg

The Railplan Model

  • Runs on EMME/2 under UNIX

  • AM Peak Crowded Transit Assignment model of London (Based on Congtras.mac)

    • Underground

    • Rail

    • Tram

    • Bus

    • Docklands Light Rail (DLR)

  • Uses Size 16 licence

    • 1500-3000+ Zones

    • 50000+ Links

  • Distribution-Mode Split model outside Railplan


The capital model l.jpg

PT access 1

(Bus Stop)

3 mins

10 mins

20 mins

ED Origin(s)

Centroid

PT access 2

(LUL Station)

ED Destination(s)

Centroid

7 mins

6 mins

10 mins

PT access 3

(TOC Rail Station)

10 mins

4 mins

5 mins

Walk Access Time

via OSCAR network

(GIS)

PT Travel Time

via Railplan network

(emme/2)

Walk Egress Time

via OSCAR network

(GIS)

The Capital Model

  • CAPITAL = Calculator (for) Public Transport Accessibility in London

  • Integrates Railplan with GIS

  • Uses finer level of detail for trip access and egress zones and walk network

  • Provides detailed calculations of travel time by public transport from a set of origins to a specific destination, such as:

    • Town centres

    • Development sites

    • Hospitals

    • Supermarkets

  • Considers all aspects of the journey time including

    • Access and Egress time

    • Wait time

    • In Vehicle time

  • Uses census output areas to combine socio-economic data such as population to further quantify the level of accessibility –

    • jobs within 45 minutes journey time of a town centre.

  • Diagrams taken from “Combining EMME/2 and ArcView GIS: The CAPITAL Model Case Study”, by Richard Hopkins, Transport for London, Nigel Robbins, David James, Brown & Root, London, U.K., 10th European EMME/2 User Group, Thessaloniki, 2001


Capital strengths and weaknesses l.jpg

Can produce very detailed outputs

Can link to socio-economic data

Runs under Windows only, while master version of Railplan runs under UNIX

Long Run Times: 24 hours+

Capital: Strengths and Weaknesses

Solution?

  • Simpler approach: EMME/2 and ENIF only – no linkage to GIS

  • ENIF will work on any EMME/2 platform


Accessibility analysis with emme 2 enif l.jpg

Accessibility Analysis with EMME/2 & ENIF

  • EMME/2 – Assemble Data

    • Use “Disaggregate Assignment” (p4-371, EMME/2 Manual)

    • Analysis of individual trips between origins and destinations using Module 5.35

  • ENIF - Display Data

    • Isochrones in pseudo-grids

    • Using outputs of Module 5.35

  • Inspired by node/link grids (Winnipeg emissions example)


Emme 2 considerations l.jpg

EMME/2 Considerations

  • Module 5.35 is only partially integrated with other modules

    • Cannot use @attributes in place of trip file

    • Cannot store DISA results directly in scenario

    • Lack of control over DISA outputs

  • Therefore a workaround is needed…


How it works 1 emme 2 macro l.jpg

How it works (1) – EMME/2 Macro

  • User calls an EMME/2 macro

    • Whether origin or destination

    • Which origin or destination

  • The macro will do the following

    • Mark Nodes for output to a file

    • Output Nodes to file

    • Create Trip File for Module 5.35

    • Run Module 5.35

    • Import Module 5.35 Results

  • Main points of macros will be shown in turn


Macro details 1 mark nodes for output l.jpg

Macro Details (1) - Mark Nodes for Output

  • Relevant Nodes

    • Station Entrances (XXYY01-XXYY09)

    • Selected Bus Nodes (XX9801-XX9999)

  • Standard 2.42/2.41 Operation:

    • 2.41

    • [email protected] |n|(i.mod.100).lt.10 ||10000,999999||1|2

    • [email protected]|n|(i.mod.10000).ge.9800 ||10000,999999||1|2

    • [email protected]|n|(@[email protected]).gt.0 ||10000,999999||1|2

    • q


Macro details 2 output nodes to file l.jpg

Macro Details (2) – Output Nodes to file

  • Uses a standard report file

  • 2.14

  • [email protected]=1||2

  • q


Macro details 3 create trip file for 5 35 l.jpg

Macro Details (3) - Create Trip File for 5.35

  • The report file is read

    • ~@ is used to skip the first few lines of the output file, then read each selected node sequentially

    • The single origin and all destinations are written to a trip file

  • A file of the following format is produced:

    t trips

    a acnod=309903 egnod= 10101

    a acnod=309903 egnod= 10201

    a acnod=309903 egnod= 10202

    a acnod=309903 egnod= 10203

    a acnod=309903 egnod= 10301

    Etc…


Macro details 4 run module 5 35 l.jpg

Macro Details (4) – Run Module 5.35

  • Report and Punch

  • Condensed Report

    • Does not show itineraries

    • Allows easier parsing of data

    • Following data extracted:

      • inveh

      • wait

      • board

      • auxtr


Macro details 5 store results in network l.jpg

Macro Details (5) – Store Results in Network

  • Import to Network from Output file

  • 2.41

  • [email protected][email protected]=1||%x%,4|y|2|y

  • [email protected] [email protected]=1||%x%,5|y|2|y

  • [email protected][email protected]=1||%x%,6|y|2|y

  • [email protected][email protected]=1||%x%,7|y|2|y

  • q

  • Once node attributes are stored in the network scenario, they can be viewed in ENIF


Enif considerations l.jpg

ENIF Considerations

  • ENIF Grids can only sum node or link values

    • They cannot compute min/max/avg

  • Another workaround - generic elements and generic symbols are used

    • Node values are aggregated within a generic element grid

    • Node values are displayed using generic symbols

  • The size of the symbols are scaled to the zoom level, to give the appearance of a geographical grid


How it works 2 enif configurable attributes l.jpg

How it works (2) - ENIF Configurable Attributes


Example zone 2205 as an origin l.jpg

Example: Zone 2205 as an Origin


Conclusions l.jpg

Conclusions

  • Each set of isochrones takes around 2 minutes to produce

  • Self-contained process within EMME/2 and ENIF

  • Useful as a ‘first sieve’ of options before running full Capital runs


Further developments l.jpg

Further Developments

  • More options added:

    • Modify Weights

    • Change Default Walk Speeds

  • Run entirely from ENIF:

    • Integration of EMME/2 and ENIF hinted at by INRO

    • Click on a node, automatically run Module 5.35 and display outputs


Contact details l.jpg

  • Steve Miller

  • Transport for London

  • 19th Floor, Portland House

  • Bressenden Place

  • London

  • SW1E 5RS

  • UK

  • +44 20 8433 6970

  • [email protected]

  • http://www.TfL.gov.uk

Contact Details

Matt Carlson

Arup

13 Fitzroy Street

London

W1T 4BQ

UK

+44 20 7755 4114

[email protected]

http://www.arup.com


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