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BTS TDI September 2014| 1 Walkability and Accessibility Rating Michael Tanner October 2014 BTS TDI September 2014| 2 Walkablity Rating | 2 • Background of the project • Standard datasets to rate walkablity and accessibility • Methods of bringing data together • NSW Interchanges • The spatial future and measuring walk events Your feedback

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Page 1: Michael Tanner Walk21pre2014files.designer.hoststar.ch/hoststar10546/file/1-w... · investigate measures and the correlation with minutes walked per respondent from the HTS . The

BTS TDI September 2014| 1

Walkability and Accessibility Rating

Michael Tanner

October 2014

BTS TDI September 2014| 2Walkablity Rating | 2

• Background of the project

• Standard datasets to rate walkablity and accessibility

• Methods of bringing data together

• NSW Interchanges

• The spatial future and measuring walk events

• Your feedback

Page 2: Michael Tanner Walk21pre2014files.designer.hoststar.ch/hoststar10546/file/1-w... · investigate measures and the correlation with minutes walked per respondent from the HTS . The

BTS TDI September 2014| 3Walkablity Rating | 3

Walk21 Charter

Our vision is to maximise the value of location intelligence in decision making, planning and service delivery for the benefit of NSW Government, industry and communities.

Supportive land-use and spatial planningCommunities have the right to expect land-use and spatial planning policies which allow them to walk to the majority of everyday services and facilities, maximising the opportunities for walking, reducing car-dependency and contributing to community life.

NSW Spatial Strategy

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Walking and Public Transport

In the TfNSW Integrated Public Transport Service Planning guidelines walking is a mode and is measured as criteria of access to services and facilities.

Increase the percentage of the population living within 30 minutes by public transport of a city or major centre in metropolitan Sydney– Walking is assumed

Walking catchment is generally within 800 metres (as the crow flies) of the stop/wharf for bus and ferry services.

The measurement of walk catchments as an indicator of accessibility to services has been used by transport planners since the 40’s

State Plan Measures: Planning policy to encourage job growth in centres close to where people live and to provide access by public transport.

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Technology changing the game

The 70’s with compass, pencils, roadometre and dot grids..

The 80’s spatial software – distances as the crow fly's from routes with population estimates base on geography.

• the 90’s spatial software – network distances to access points and population based on land use.

Now – real time data via from smart devices, ticketing, GPS infra red detectors, laser scanners, ?

• the 00’s spatial software – network distances, walk times and to access points and population estimated on address points

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There are commercial products such as WalkScore ® that will provide a single location, suburb or city a walkablity score based on the built environment and distance measures.

The AURIN Portal walkability tools and guidance on the use and then describes some of the methods of measuring walkability

The Regional Municipality of Halton, Ontario, Canada using ArcGIS model builder have automated the analysis so it is easily repeated

Advances is spatial software and data allow not just catchments but the walkabilty to be assessed

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Walkability Rating

The TfNSW requires a strategic tool is to provide a consistent and accurate to measure of walk to assist in identify where infrastructure funding for walking may be spent.

In the Metropolitan Sydney the BTS will use Household Travel Survey data to investigate measures and the correlation with minutes walked per respondent from the HTS.

The rating tool is a strategic tool for use at the local area. It is a coarse sieve of locations.

The tool at this point is Sydney Metropolitan centric.

The majority of the datasets have Australian coverage and are OpenSource

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The foundation of all of the spatial tools is the ability analyse proximity, length and associated

attributes.

The spatial data listed is focus on the built environment and demographics. The suggested data have been complied from a literature review on spatial data and walkablity

The data freely available and in multiple formats

Ideally the application would be built and delivered using OpenSource software

Most importantly outputs will be consistent and the evidence transparent

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Spatial DataSources:

• Australian Bureau of Statistics• Bureau of Transport Statistics• Bureau of Crime Statistics• OpenStreetMap ©

Feature Types:

• Points• Polygons• Lines• Nodes

Analysis Types:

• Networks distance measures• Adjacent features• Overlaying features• Routeing• Networks• Grid

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Spatial Data and Measures

Geography

Meshblock - ABS

Population and Dwelling

Statistical Area 1 - ABS

Demographics of ResidentsMeasuring number of Vehicles

Destination Zones - ABS

EmploymentEmployment CategoryMode of Travel

Measure Walkablity Potential

Density per Ha

Vehicles / persons >= 17 and < 80Mode of Travel from home

Mode of Travel to EmploymentDistance Live and work within< 3km , 3km - 5km, >5km

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Spatial Data Indicators and Attractors

Geography

Roads –OpenStreet

Meshblocks –ABS

Destination Zone –ABS

Measure Walkablity

ConnectivityIntersection density, Intersection typeLink length, Curvature and Cul De SacLength of pathLength of road classLength of bike path

Land useLength link with commercialLength link with green spaceArea green space open space(river/beach/harbour)

Services (Retail)Services (Commercial)Services (Education)

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Spatial Data Safety and Perception

Geography

Local Government Area –Centre Road Safety

Local Government Area andHot Spot AnalysisBOCSAR

Measure Inhibitors

Pedestrian Accidents / per 1000 of aLocal Government Area

Malicious damage to property Assaults - non-domestic violence Sexual OffencesTransport regulatory offences Offensive conduct Harassment threatening Steal from person

Hot spot Analysis of Malicious damage to property, these attributes assignedto links and measured by length and intensity

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Analysis

Using Spatial software all locations areadded to the network and network metrescalculated. Each point receives a summary of attractors, inhibitors and potential

A diagrammatic view of a link for inhibitors

Link

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Analysis

A diagrammatic view of a link for inhibitors

Link

A diagrammatic view of a link withbuilt environment measures

Link

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Spatial Data - Public Transport Reach

Geography

Transit StopTfNSW

Measure Attractor

Frequency of serviceInterchangeModeTravel time to CentreCategory of corridor (bus only)

Transit node location

Transit node attributesRoute, Frequency, Direction andTravel time catchment

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Providing the tools

The NSW government facilitates web services like Spatial Information Exchange and the NSW Globe.

The availability of OpenSource spatial software like GRASS and QGIS allow access to tools and analytics.

Providing the data and or tools through Cloud services such a ArcGIS Online.

Providing the data and or tools through Government agencies such as the E-planning tool.

OpenSource Spatial Developer Networks

GITHub, SourceForge,BitBucket, GitLab, LaunchPad,Gitorious

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Ticketing DataElectronic Ticketing Data will allow the analysis of customers interaction with public transport at interchanges and capacity at stops

Tap Off the mode

Tap On the mode

Transfer between the modes

The movement between modes such as time can be linked with connection and built attributes

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Detailed Spatial DataThe focus is on the customer and the interchange walk leg is assessed and can be

measured.

Walk between train and busBike lockerSignalised crossingPedestrian crossingToilets and facilities3 seats75% is coveredSurface is smoothStop has a shelter

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Tracking regular and more accurate

Top 10 personal GPS trackers, data stored in Cloud unless specified, this data can be harvested for analysis

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Thank You