Required input evidence and data

The availability of data about motorised modes is increasing. Consequently more evidence-based analysis and decision making for these modes should be possible. Data associated with non-motorised modes (such as walking and cycling) and non-transport indicators (such as place) is limited.


Data inputs for transport centric performance indicators and analysis are mature and widely available, but there is limited guidance when it comes to non-transport indicators. While collecting motorised transport data has become cheaper and easier through big and real-time data sources, access to non-motorised transport data ( walking and cycling) remains limited.

Governments are more routinely collecting, analysing and reporting on their strategic objectives, and so there is an expectation that associated top-down data should become more readily available.

In terms of other potential data source opportunities, the recent introduction of performance-based maintenance contracts in NSW is one. This requires high-quality maintenance performance data to be collected across the network [https://www.rms.nsw.gov.au/business-industry/partners-suppliers/srapc/index.html].

There is an argument that some NOP processes, particularly rapid Network Fit Assessments, have low data needs. Network Fit Assessments may rely on the experience and expert judgement of the practitioner to predict the impact of a proposed intervention.

Source material

Source

Required input evidence and data

Network Operations Planning Framework (2009)

Phase 3 - Network Performance in Figure 2 p18 and write-up p20-21 states:

"Road network operators must have continual access to quantitative and qualitative road network data, for use in real time or non-real time applications to assess current traffic demand and performance"

Also, Section 4 - Data and Information p29 provides more detail and example data sources.

"The roll-out of network plans should provide road users, managers and operators with an improved information base with which to make more informed investment decisions. Such information should encompass road network performance information (e.g. travel times, incidents), availability of parking spaces, bus/tram schedules for multi-modal journeys (e.g. park and ride), etc."

The Application of Network Operations Planning Framework to Assist with Congestion Management and Integrated Land Use and Transport (2013)

Section C.4 - Phase 3 - Network Performance section p34-35 recommends the following.

"Level of service values for each mode can be generated using a variety of data sources:

  • people who know the network well are able to estimate a level of service based on   their knowledge of the network
  • site observation data
  • actual measurements."

Level of Service Metrics (for NOP) (2015)

See Section 1. p4:

The development of a NOP is often conducted with minimal funding. It is likely that adequate funding may not be available to collect or compile data for LOS analysis.

Development of the Accessibility-Based Network Operations Planning Framework (2015)

Section 5.13 - Network Performance p51 indicates use of probe data (HERE datasets) to obtain travel times [mean and variability in travel times]

Guide to Traffic Management Part 4: Network Management Strategies (2020)

Nothing specific provided, except the following is noted from Section 5.2 - Network Operation Objectives p61:

"The LOS framework enables assessments to be undertaken with or without data collection or surveys through the use of qualitative measures. While, in some cases the descriptions of the measures may be supplemented by quantitative measures, it is the descriptive aspects that resonate best to a broad set of stakeholders, rather than the quantitative aspects of an LOS framework."

However, suitable evidence and data to inform the various development, assessment, monitoring and review processes will also be required.

Road Transport Management Framework and Principles (2017)

Section 6.1 - Usability of the LOS Framework p38 highlights:

"The general observation from applying the LOS framework to the case studies was that the LOS framework can be easily applied to projects with or without the need for data. While the LOS measures can be applied without data, their application requires familiarity with the area to which it will be applied. This may be undertaken through site inspections followed by discussions with road agency and/or local government officers who are familiar with the operation of the site and issues relevant to it. There were some LOS measures that would require data to assess (such as transit user mobility, transit user on-board congestion and transit user seat availability); however the LOS framework was modified so that they may be assessed with or without data, enabling its completion at low cost."

Network Performance Indicators (2018)

Section 3.1 Key principles p75-77 and Figure 3.1 p75 indicate the following principles that should underpin data used to inform decision making:

  • Credibility
  • Highlighting change
  • Drivers of change
  • Layers of information
  • Comparability
  • Targeted to users
  • Performance target
  • Consistent and regular

Guide to Traffic Management Part 9:  Transport Control Systems – Strategies and Operations (2020)

Section 3.4.1 - Services p15-17 indicates various data that can be collected through roadway detectors and emerging vehicle tracking equipment that can be used to monitor and evaluate operations.

This is further explored in Section 3.4.2 - Detection Technologies and Telecommunication p 17-19.

Source

Required input evidence and data

ATAP National Guidelines for Transport System Management in Australia - Part 2: Strategic Transport Planning and Development (2006)

The Framework Section p11-20, Box 2: Transport system elements p15 states:

"Data and information. Advice to decision-makers should be supported by the best available data and information, quantitative and qualitative, objective and subjective."

The Framework Section p11-20, Information support for decision-making p18 states:

"Throughout the Framework, providing all of the necessary information for the various levels of decision-making makes for informed decisions. Information on the merit of strategies and initiatives must be presented to decision-makers in a way that recognises the full range of impacts. It must also be easily understood and address government objectives and priorities."

MRWA Network Operation Planning Framework (2014)

Appendix A.5 - Data Sources for LOS Calculations pA.11-12 and A.6.1 - Data Inputs, Sources, Assumptions and HCM Annotations pA.12-14 provide a range of relevant data sources and their general availability.

TFL Network Operating Strategy (2011)

Section 3 - Measuring the performance of the road network p14-24 sets out the data used for each network performance measure and its public reporting.

Highways England Approach to Route Strategies

After route Strategies section p7 states:

"The route strategies will be the foundation for much of the thinking about where major new investments should be after 2020. Alongside the evidence being gathered by the Government, by the Office of Rail and Road, by Transport Focus and by individual stakeholders, it will play a major role in shaping the next investment program. Many of the ideas put forward by others will be considered with reference to the evidence gathered in the route strategies, to make sure that they are assessed on a fair and consistent basis."

PIARC Road Network Operations Handbook 2003

Section 6.3.2 - Application of measures and Table 6.1 p265 provide a list of factors and how they can be measured.

Source

Required input evidence and data

Albany Highway - Route Operation Plan

  • IRIS Reporting Centre (for peak volumes, heavy vehicle percentages and all safety statistics)
  • ARRB Network Performance Analysis for Perth Congestion Response report (for congestion cost ranking)
  • Cost of congestion data is obtained from the NetPReS database (The ARRB report referenced in the Albany Highway ROP was only used as an interim source).
  • NetPReS (for link efficiency and reliability data): the data is broken into 15-minute   intervals for road sections (known as links) that cover all 29 defined routes comprising the metropolitan State Road Network, dating back to 1st January   2013.
  • The next version of this database currently in development will have its scope expanded to include local roads as well. Within NetPReS, the "links" are defined as road sections between successive signalised   intersections, or in the case of freeway routes, between on and off-ramps. Links are defined for both inbound and outbound directions relative to Perth's CBD.

Auckland - Traffic Network Management

  • Travel times between nodes (Floating car surveys, GPS and Bluetooth)
  • SCATS and SCATS-related Systems, such as TRIPS and ARTIS
  • Site observations or CCTV Coverage
  • Manual data collection
  • Occupancy surveys (general traffic, public transport, cycles, pedestrians and freight)
  • Traffic volume surveys (automated or manual) for all modes as above
  • Cycle and pedestrian facility provision assessments

Hamilton City - Network Operating Plan

As part of the Network Fit Assessments:

  1. Volumes for each mode
  2. Road Use Hierarchy including where this changes by time of day
  3. Key places and destinations
  4. Existing Level of Service for each mode.

Launceston Network Operation - Preliminary Framework

  • Most of the data sets available cover motorised transports
  • There are very basic data sets available on pedestrians and bikes
  • In the future, a multimodal model will be built for the city – this model will require significant data inputs

Warrigal Road Movement and Place – Intersection Operating Principles

  • All data needed to determine the LoS for each mode and place factor.
  • A lot of the macro data that determine the M&P classifications and SFS has already been collated / estimated and processed (available through vMaps).
  • Level of data quality and confidence is not indicated.