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Transport Accessibility Analysis with ENIF and Railplan Matt Carlson, ArupSteve Miller, Transport for London.

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Presentation on theme: "Transport Accessibility Analysis with ENIF and Railplan Matt Carlson, ArupSteve Miller, Transport for London."— Presentation transcript:

1 Transport Accessibility Analysis with ENIF and Railplan Matt Carlson, ArupSteve Miller, Transport for London

2 Introduction Transport for London The Railplan Model The Capital Model Accessibility Analysis with ENIF

3 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.

4 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

5 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. PT access 1 (Bus Stop) PT access 2 (LUL Station) PT access 3 (TOC Rail Station) 10 mins 6 mins 4 mins 3 mins 7 mins 10 mins ED Origin(s) Centroid ED Destination(s) Centroid Walk Access Time via OSCAR network (GIS) PT Travel Time via Railplan network (emme/2) Walk Egress Time via OSCAR network (GIS) 20 mins 10 mins 5 mins 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., 10 th European EMME/2 User Group, Thessaloniki, 2001

6 Capital: Strengths and Weaknesses 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+ Solution? Simpler approach: EMME/2 and ENIF only – no linkage to GIS ENIF will work on any EMME/2 platform

7 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)

8 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…

9 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 1.Mark Nodes for output to a file 2.Output Nodes to file 3.Create Trip File for Module 5.35 4.Run Module 5.35 5.Import Module 5.35 Results Main points of macros will be shown in turn

10 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 ~+|1|y|@sta |n|(i.mod.100).lt.10 ||10000,999999||1|2 ~+|1|y|@bssel|n|(i.mod.10000).ge.9800 ||10000,999999||1|2 ~+|1|y|@selnd|n|(@sta+@bssel).gt.0 ||10000,999999||1|2 q

11 Macro Details (2) – Output Nodes to file Uses a standard report file 2.14 ~+|1|n|@selnd=1||2 q

12 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…

13 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

14 Macro Details (5) – Store Results in Network Import to Network from Output file 2.41 ~+|3|@inveh|n|@selnd=1||%x%,4|y|2|y ~+|3|@wait |n|@selnd=1||%x%,5|y|2|y ~+|3|@board|n|@selnd=1||%x%,6|y|2|y ~+|3|@auxtr|n|@selnd=1||%x%,7|y|2|y q Once node attributes are stored in the network scenario, they can be viewed in ENIF

15 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

16 How it works (2) - ENIF Configurable Attributes

17 Example: Zone 2205 as an Origin

18 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

19 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

20 Contact Details Matt Carlson Arup 13 Fitzroy Street London W1T 4BQ UK +44 20 7755 4114 Matt.Carlson@arup.com http://www.arup.com Steve Miller Transport for London 19th Floor, Portland House Bressenden Place London SW1E 5RS UK +44 20 8433 6970 SteveMiller@TfL.gov.uk http://www.TfL.gov.uk


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