TIDE Transferability Methodology

TIDE Final ConferenceBarcelona, 15-16 September 2015

Birendra ShresthaSenior Traffic Modeller, Transport for LondonVisiting Fellow, TRG, University of Southampton, UK

Background• Different city characteristics- transport and traffic conditions (infrastructure, traffic control

and management, etc.), geographical, environmental, demographic, socio-economic as well as institutional frameworks

- sucess in one city does not gurantee sucess elsewhere• Important to identify key factors to ensures the measure‘s

success in new location. • Valuable to identify barriers so that they can be

addressed/overcome

Transferability• Process of verifying the

chances of a successful implementation of a measure which has proved successful elsewhere

• Analysis of relevant factors

• Opportunity to learn lessons from the previous experience and to avoid mistakes!

Source: Dziekan et al, 2013

TIDE Methodology(1) Mission statement/objectives and scoping

(2) Clarification of the impacts of the measure

(3) Identification of up-scaling/down-scaling need

(4) Identification of the main components and characteristics

(5) Identification of the level of importance of characteristics

(6) Assessment of the characteristics of the adopter city

(7) Conclusions

Example

Source: www.londonphototours.com/big_ben.htm

ReadingLondon

Open data for apps based traveller

information

Pioneer city Adopter city

Step 1: Mission statement and scope

• A clearly defined mission statement (or clear objectives) and a realistic scope for a measure

• Should avoid any misunderstanding during the subsequent transferability and implementation processes

• Rest of the transferability steps should only be carried out after the adopter understands and agrees with the objectives and scope of the measure

Reading’s open data

Mission statement• To make traffic data available in open data server to

encourage apps based traveller information

Scope • Management of data from traffic management and control

systems only. It does not cover the traffic management control systems.

Step 2: Impacts

• Efficiency (capacity, journey time) • Environment (emissions, noise, visual intrusion)• Safety• Accessibility• Vehicle occupancy• Benefit-to-cost ratio (BCR) • Multi-Criteria Analysis (MCA)

Impacts (Reading’s open data) • Wider dissemination of traffic/travel information• Potential to address specific user needs (e.g. elderly and

disabled).• Reduce passenger waiting time• More informed and better travel choices leading to modal

change to public transport • Increase bus patronage and revenue• Support to some economic activities in the area (apps

development)

Step 3: Up-scaling

Determination of up-scaling (or scaling down) need:

• To match the city’s need

• To recognise the requirements and implications

• e.g. Route -> City-wideSource: Dziekan et al, 2013

Scaling (Reading’s open data)

• Reading is much smaller than London and hence the scale of implementation is much smaller

• This may have implications on system requirements, costs and benefits – especially demand for the information

Step 4: Main components & characteristics

Factors that can contribute to the success (or failure) of a measure :

• Components (main factors):- Policy, stakeholders, finance, technical requirements, etc.

• Characteristics (sub-categories) e.g. for policy:- Public transport policy, traffic management policy,

accessibility policy, pollution reduction policy

Components & characteristics (open data)Components Characteristics

Strategies and policies

Open data policy

Traffic management policy

Finances Capital costs of design and implementation

Running costs

Economic benefits

Stakeholders involvement

Urban Traffic manager/controller

Public transport operators

Government (local)

Other requirements Market demandData quality

Step 5: Level of importance of characteristics

According to the adopter city

• High/medium/low• Supporting comments

Importance of characteristics (open data)Characteristics Importance Comments

Open data policy High The main objective to be supported by the measure

Traffic management policy

High Open data supports overall traffic management policy

Capital costs Medium The implementation cost is relatively lower than the infrastructure providing data

Running costs Medium Similar to existing ITS systems

Urban Traffic manager High Traffic manager were in favour of fewer priority interventions as a result of advanced priority, but concerned over potential complexity

Bus operators High Operators needed to be convinced the about the benefits of open data

Local government High Local government needs to approved and financed the scheme

Market demand High Market demand influences the involvement of 3rd parties in apps development

Data quality High Good quality data is needed to assure apps developers and travellers

Step 6: Assessment of characteristics

Subjective assessment of ease/difficulty in implementation by adopter city Assessment scale:

+2 strong support for transferability+1 modest support for transferability 0 neutral

-1 modest constraint for transferability -2 strong constraint for transferability

Assessment of characteristics (open data)Characteristics Importance Assessment

Public transport policy High +2Traffic management policy High +2Capital costs of design, implementation Medium 0

Running costs Medium 0Urban Traffic manager/controller High +1Public transport operators High 0

Government (local) High 0Market demand High -1

Data quality High -1

Step 7: Conclusions

Drawing conclusions through the assessment

• One or more strong constraints (-2) to transferability- no transfer unless the conditions can be overcome

• One or two modest constraints(-1) (no strong constraints)- difficult to transfer the measure unless the conditions can be addressed

• If there are no constraints at all- likely that the measure could be successfully transferred

Conclusions (Reading’s open data)• The measure is potentially transferable to Reading

dependent on:

• Data quality – Needed to make sure that the data available is reliable

• Market demand – pump priming may be needed to develop initial apps and generate interest amongst apps developers and travellers

• Birendra ShresthaBirendra.Shrestha@tfl.gov.uk

Thank you!