Greater Manchester Accessibility Levels (GMAL) Model

Similar documents
Appendix B5 PT Model Validation

Transit Service Guidelines

Content of the module

UK Road Pricing Feasibility Study: Modelling the Impacts Elizabeth Cox 1 UK

Introduction to Transportation Systems

Data processing. In this project, researchers Henry Liu of the Department of Civil Engineering and

JULY This guide is to be used for the Sustainable Transport Credits in the Transport Category.

Bus Passenger Survey - spring 2016 results

Metro s Guide to Accessibility and Independence

WORKING PAPER ITLS-WP Are network planning guidelines based on equal access equitable? INSTITUTE of TRANSPORT and LOGISTICS STUDIES

1 Traffic information for applicants and traffic operators

ViziRail Description

Greater Manchester 2040 Transport Strategy Vision and Modelling the Future

1 Introduction. 2 Mobility in Palermo. 164 Urban Transport XIX

GUIDE NEW PRICES from 3rd September 2017

Transit Demand Analysis

SUSTAINABLE TRANSPORT: CHALLENGES AND OPPORTUNITIES

Bus Information Strategy

Generalised Costs and the Value of Time as a Method of Patronage Forecasting

A strong tool for public transport planning the software in operation

CAPITAL AREA TRANSIT PLANNING SERVICE STANDARDS AND PROCESS. Planning Department

Using Data Mining Techniques on APC Data to Develop Effective Bus Scheduling Plans

Customer Information Delivery Plan 2018

HAVE YOUR SAY. 1 September to 8 October Consultation Booklet

1 Introduction 4. 2 Our vision 5. 3 Critical transport challenges 6. 4 Keeping it customer-focussed 10

Near-Real Time Data for Operational Monitoring and Control

The case for the Digital Railway. Patrick Bossert. Digital Railway Transformation Director. Agenda

Muller, P.J., Cornell, S.B., Kubesa, M.P. 1 RIDERIDESHARINGSHARING METHODOLOGY FOR INCREASING PERSONAL RAPID TRANSIT CAPACITY

FUTURE BUS RAPID TRANSIT PLANS

1.201 / / ESD.210 Transportation Systems Analysis: Demand and Economics. Assignment 2

The Transportation dividend

TRANSIT SERVICE GUIDELINES

Customer-centric transportation network modelling

AMPO Annual Conference Session: Performance (Part 1) October 18, 2017 Savannah, GA

The Policies section will also provide guidance and short range policies in order to accomplish the goals and objectives.

Public Transport. Systems solutions in urban rapid transit SYSTEMS SOFTWARE ADVERTISING TECHNOLOGY

MICRO-SIMULATION OF A NIGHT TAXI-BUS SERVICE FOR THE HISTORICAL CENTRE OF ROME

The Next Next Generation Customer Information System

Travelers who use public transport

Presentation On Vehicle Telematics 2017

The Economic Case for HS2

Metro Transit Service Reliability Measures Assessment

2016 transit accessibility plan

REGIONAL TRANSPORTATION AUTHORITY: 2016 CUSTOMER SATISFACTION STUDY

THE COBA 2017 USER MANUAL PART 4 TRAFFIC INPUT TO COBA. Contents. Chapter. 1. Network Description. 2. Compatibility Between the Traffic Model and COBA

CAPITAL AREA TRANSIT PLANNING SERVICE STANDARDS AND PROCESS

Modeling Truck Traffic Volume Growth Congestion

Transit Applications and the EMTRAC System

Mobility on Demand for Improving Business Profits and User Satisfaction

Passenger service for the Dudding Hill line: brief for feasibility study

HOW TO USE THIS PRESENTATION?

Ottawa Transportation Master Plan 2013

Pearson LCCI Level 3 Certificate in Business Statistics (VRQ)

Multi-modality assessments in promoting sustainable urban traffic

This paper outlines the carbon footprint and greenhouse gas assessment for HS2 Phase One.

EMBARQ India The World Resources Institute

INTEGRATED PUBLIC TRANSPORT INFORMATION SYSTEM FOR BAA SOUTHAMPTON AIRPORT

September Public Meetings. Developing a Blueprint for the Corridor

ANALYSIS OF RELIABILITY OF A BUS TRANSIT SYSTEM USING RIDER EXPERIENCE

IPSWICH NORTHERN ROUTES STUDY. Stage 1 Progress

Pearson LCCI Level 3 Certificate in Business Statistics (VRQ)

Study on train headway in different turning-back mode of urban mass transit station

Document Control and Version Information

Appendix C: GHG Emissions Model

TAPPING INTO DELAY: ASSESSING RAIL TRANSIT PASSENGER DELAY USING TAP-IN-TAP-OUT FARE-SYSTEM DATA

Transform 66 Multimodal Project: Prioritization Process and Evaluation Criteria Approved March 3, 2016

TOUCH IOT WITH SAP LEONARDO PROTOTYPE CHALLENGE

TRAFFIC ADVISORY LEAFLET

Using gravity model in regional rail transport planning

Tours-Based LUTI Modelling

Transactions on the Built Environment vol 34, 1998 WIT Press, ISSN

LME POLICY ON THE APPROVAL AND OPERATION OF WAREHOUSES, REVISED [1 JUNE 2015]

Travel Demand Modeling At NCTCOG

Estimation of Value of Travel Time Reliability

FAIR LABOR STANDARDS ACT TRAVEL: DETERMINING COMPENSABLE TIME FOR NON-EXEMPT EMPLOYEES Created by MU HRS 04/2005 Updated by CMU 10/2016

Innovation through Open Data at Transport for London

TfL Managing Adaptation to Climate Change

Improving Urban Mobility Through Urban Analytics Using Electronic Smart Card Data

Assessing Risks to Inform Resilience: a Criticality Assessment of the British Railway Network

Fairmount Line Feasibility Study

Gatwick Express Live Departure Boards.

What is it and what does it aim to do?

SUTRA : Sustainable Urban Transportation for the City of Tomorrow

VISUM State-of-the-Art Travel Demand Modeling VISUM

Regional Transit Asset Management Performance Targets. Transportation Operators Committee May 24, 2017

Network Rail s consultation on its methodology for allocating fixed costs to train operators in Control Period 6 (CP6) 22 September 2017

State Transit Authority. Corporate Plan June 2016 (Issue 5) State Transit Authority. Corporate Plan June 2016 (Issue 5) 1

Transport in the Liverpool City Region: Update for TravelWatch

A-CDM: Integrated working Stefan Beitelsmann, Head of Aviation and Central Infrastructure Management, Düsseldorf Airport

SCHEDULE 1 CONDITIONS OF USE RELATING TO FALKIRK BUS STATION (THE BUS STATION )

Results of other surveys may differ from NRPS as the timing, questions asked, weighting and sample size may be different and produce different data.

David King, Railway Procurement Agency 14 th November 2012

Finding your way with MapInfo RouteFinder. The Premier routing and driving region solution for MapInfo Pro

AUTOMATED DATA COLLECTION TECHNIQUES

DEFRA consultation on the Implementation of Clean Air Zones in England ~ Response from Campaign for Better Transport

VALUE OF RAIL The Contribution of Rail in Australia

A robust transfer inference algorithm for public transport journeys during disruptions

Transit Technology Choice Repo

MASTER PLAN. Urban Rail Development. Plan. Bus Transformation Plan. Taxi Transformation. Plan. Interchange and Integration Plan.

Cleveland HealthLine Bus Rapid Transit

Transcription:

Greater Manchester Accessibility Levels (GMAL) Model Overview Greater Manchester Accessibility Levels (GMAL) are a detailed and accurate measure of the accessibility of a point to both the conventional public transport network (i.e. bus, metrolink and rail) and Greater Manchester s Local Link (flexible transport service), taking into account walk access time and service availability. The method is essentially a way of measuring the density of the public transport provision at any location within the Greater Manchester region. The GMAL methodology is derived from the Public Transport Accessibility Level (PTAL) approach developed by the London Borough of Hammersmith and Fulham, but modified to consider flexible transport service provision (Local Link) and to reflect local service provision levels (different accessibility levels) within Greater Manchester. The GMAL measure reflects: Walking time from the point-of interest to the public transport access points; The number of services (bus, Metrolink and Rail) available within the catchment; The level of service at the public transport access points - i.e. average waiting time; and The operating areas of Local Link (flexible transport) services It does not consider: The speed or utility of accessible services 1 ; Crowding, including the ability to board services; or, Ease of interchange. Walk times are calculated from specified point(s) of interest to all public transport access points: bus stops, rail stations and Metrolink stations within pre-defined catchments. The GMAL then incorporates a measure of service frequency by calculating an average waiting time based on the frequency of services at each public transport access point. A reliability factor is added and the total access time is calculated. A measure known as an Equivalent Doorstep Frequency is then produced for each point. These are summed for all routes within the catchment and the values for the bus, Metrolink and rail are then added to give a single value. If the specified point of interest (i.e. Postcode) is located within a local link service area a value of 2.5 is added to the overall combined public transport index score. The accessibility index score is categorized into eight levels, 1 to 8, where level 8 represents a high level of accessibility and level 1 a low level of accessibility. 1 Journey times to key centre in Greater Manchester, based on Accession contours, are provided in the interactive bus mapping tool.

Components of the Greater Manchester Accessibility Level Model The process can be broken down into a series of stages: Defining the point of interest (POI); Calculate the walk access times from the POI to the service access points (SAPs); Identify valid routes at each SAP and calculate average wait time; For each valid route at the SAPs calculate the minimum total access time; Convert total access times to the Equivalent Doorstop Frequencies - to compare the benefits offered by routes at different distances; Sum all EDFs with a weighting factor in favour of the most dominant route for each mode; Addition of 2.5 to the overall index score, if the POI is located within a Local Link operating area; and Application of eight banded accessibility levels. Define the Points of Interest (POI) The exact location of a POI will have a considerable bearing on the final accessibility index score and subsequent level. The proximity of the local public transport services will vary from point to point. If the GMAL is being calculated for a large development, for example a new supermarket, a number of points may be required to reflect different GMAL across the area. Accessibility index scores and levels have been generated for all postcode centroids in Greater Manchester, as well as the centroids of a 100 metre square grid system covering the Greater Manchester region. Calculate the walk access times Public transport access points There are around 13,000 public transport network stops or access points within the Greater Manchester region. The location of public transport access points is based on the TfGM s in-house geographical information system s database of bus and Metrolink stops, and rail stations. The Local Link (flexible transport service) operating areas have been provided by TfGM s Customised Transport Planning department. Walk access times Walk access times are measured from the POI to the conventional public transport SAPs based on the crow flies distance (straight line distance). The distances between the POI and the SAPs are converted to a measure of time using an assumed a walk speed of 4.8 kph (3 mph), which has been fractionally adjusted for crow flies optimism 2. A number of 2 Design Manual For Road and Bridges (Section 11.5.3), specifies a walking speed of 5kph (3.1mph)

parameters define the extent of the walk catchment area. For buses the maximum walk time is defined as 8 minutes or a distance of 640 metres. For rail and Metrolink services the maximum walking time is defined as being 12 minutes or a walking distance of 960 metres. Any SAPs beyond these specified distances are rejected. This analysis does not currently take into account the nature of the urban environment on walk access times (i.e. gradients and permitted walking routes). Identify Valid Bus, Metrolink and Rail Routes/Services Routes are identified for each valid SAP: The routes will depend on the time period chosen. Default service frequency data is selected for the morning peak period, specifically the maximum number of hourly departures between 07:00hrs and 10:00hrs; For each POI route information is only considered once. Where a route occurs twice or more - because it serves more than one SAP within the POI catchment area - the SAP that is nearest to the POI is used; At any SAP, routes will normally be bi-directional. In the accessibility model it is only the direction with the highest frequency that is considered; and For train services only those routes with at least 2 stops within the Greater Manchester boundary (i.e. the origin stop and at least one other station) are considered. Bus and Metrolink frequency data is derived from Transport for Greater Manchester s (TfGM) in-house AS400 network database system. This is a comprehensive database of current bus and Metrolink routes and their respective geographic routings (stopping points). Service information is based on the information provided by operators and uploaded into the AS400 database, and is therefore regarded as the most reliable, accurate and up-to-date source available within Greater Manchester for calculating GMALs. The rail frequency data for Northern Rail, TransPennine Express, Arriva Trains Wales and East Midlands trains is compiled from automatic station passenger counts, supplied by directly from the train operating companies. Additional calling patterns for Virgin Trains and Arriva Cross Country services were compiled through consulting the individual operator s published timetables. GMAL calculation for a single point of interest Calculating Total Access Time (TAT) Total access time is made up of a combination of factors: combining the walk time from the POI to the SAP and the time spent waiting at the SAP for the desired service to arrive. Average Waiting Time (AWT) Total Access Time = Walk Time + Average Waiting Time

Waiting time is the average time between when a passenger arrives at a stop or station, and the arrival of the desired service. In the calculation process passengers are assumed to arrive at the SAP at random. For each selected route the scheduled waiting time (SWT) is calculated. This is estimated as half the headway (i.e. the interval between services,) so SWT = 0.5 * (60/Frequency). Thus a 10 minute service frequency (6 buses per hour) would give an SWT of 5 - on average a passenger would have to wait 5 minutes for a bus/train to appear. To derive the Average Waiting Time, reliability factors (RF) are applied to the SWT according to the mode of transport used. The regularity of buses, metrolink and rail services are affected by a variety of factors, with bus services the worst affected. To allow for reliability additional wait times assumed are 2 minutes for buses and 0.75 minutes for rail/metrolink services. These factors will be updated with Automatic Vehicle Location (AVL) bus performance statistics when available. Calculating Equivalent Doorstep Frequency (EDF) The access time is converted to an Equivalent Doorstep Frequency where: EDF = 30/Total Access Time (minutes) This treats access time as a notional Average Waiting Time as though the route was available at the "doorstep" of the selected POI. Calculating the AM Peak Accessibility Index (AI) for the POI Summation of all EDF values for a POI gives the accessibility index. There are a number of additional factors that should be considered: Routes often travel in parallel for some distance so the range and frequency of destinations are likely to be less than that suggested by the number of routes included in the calculation; and Travellers often have to change routes in order to reach the desired destination - this can add significant delays to the journey. Halving the EDF values for all but the most accessible or dominant route for each transport mode compensates for these factors. Transport modes are divided into three groups: Buses; Metrolink; and Rail Thus for a single transport mode the AI (at a single POI) can be calculated using the following formula: AImode = EDFmax + (0.5 * All other EDFs)

Calculating the overall accessibility index is a sum of the individual AIs over all modes and the addition of 2.5 to the index score if the POI is located within a local link operating area (LL). : Accessibility Levels AIpoi = Σ(AImode1 + AImode2 + AImode n ) + LL The final formula given above calculates the Greater Manchester Accessibility Index (GMAI). Each POI index score is allocated to an accessibility level where Level 1 represents the lowest level of accessibility and 8 the highest level of accessibility. The table below shows the relationship between GMAI scores and the final GMAL. Accessibility Level Range of Index Scores Description Map Colour 1 0, <=0.5 Very Low 2 >0.5, <=2.5 3 >2.5, <=5.0 4 >5.0, <=7.5 5 >7.5, <=12.5 6 >12.5, <=17.5 7 >17.5, <=25.0 8 >25 Very High List of Abbreviations AWT EDF POI GMAI GMAL RF SAP SWT TAT Average Waiting Time Equivalent Doorstep Frequency Point-of-Interest - the point for which the PTAL is being calculated. This can be an individual point or a grid of point. Greater Manchester Accessibility Indices (inc. Local Link) Greater Manchester Accessibility Levels (inc. Local Link) Reliability Factor Service Access Point - bus stops, Metrolink stations and rail stations. Points at which people have access to the public transport network. Scheduled Waiting Time Total Access Time