Definition
Delays in road traffic and in public transport during peak hours compared to off peak travel (private road traffic) and optimal public transport travel time (public transport).
Parameter
Weighted sum of delays over representative corridors for road private and public transport.
For road private transport, sum of weighted averages over 10 representative corridors for car trips as a ratio of peak period travel times to off-peak travel times.
For (road) public transport, sum of weighted averages over 10 representative corridors for public transport trips as a ratio of peak period travel times to estimated optimal travel time.
CDij = Congestion and delay index (percentage delay during peak hours) [% of delay]
CTi = Number of car trips during peak hours on main road corridor i [#]; If this information is missing, the number of lanes could be used as an alternative weighing factor
PHTi = Car travel time during peak hours on main road corridor i [minutes]
FFTi = Off-peak car travel time on main road corridor i [minutes]
PTj = Number of public transport trips during peak hours on transit corridor j [#]
PTPHTj = Public transport travel time during peak hours on main road corridor i [minutes]
PTOTj = Optimal Public Transport travel time on main road corridor i [minutes]
MSroad = Modal share road [%] (modal share as the number of persons which are travelling, modal share when only considering private car and PT as possible modes)
MSpt= Modal share public transport [%] (modal share as the number of persons which are travelling, modal share when only considering private car and PT as possible modes)
Data sources
Information needed | Possible specific sources | Costs* | Advice to fill data gaps and/ or improve data quality |
Number of car trips during peak hours on 10 main road corridors | Information on the number of cars on a corridor could be derived from traffic counts, urban traffic models or, as a proxy, the number of lanes could be used (for peak time). | M/H |
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Car travel time peak hour | The use of Floating Car Data, or data resulting from floating car data, as a basis for the estimation of actual vehicle travel time (during all times of the day) is strongly suggested. Data can be provided, for example, by services such as Google Maps, Waze, etc. | L/M |
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Car travel time off peak | |||
Number of public transport trips during peak hours on 10 main corridors | Information on the number of PT trips on a corridor could be usually provided by PT authorities or operators or could be derived from urban transport models. | M/H |
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Public transport travel time during peak hours | For travel times and number of trips of public transport, it is best to consult with the public transport providers. | L/M |
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Optimal public transport travel time |
* The column “Costs” provides a qualitative assessment of the budget (staff costs, time, costs for data acquisition, etc.) needed by a city/ urban area for gathering new quantitative data in absence of already available values. For each parameter, the assessment takes into account both the administrative costs and the costs related to searching, acquisition and processing of the needed data; these can be high (“H”), medium (“M”) or low (“L”), or a combination of a pair of them.
Files
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