Modal split

Definition

For passenger mobility:

Modal split according to passenger kilometres ran
Modal split according to vehicle kilometres ran
Modal split according to the number of trips ran
Modal split according to the number of vehicle kilometres per trip ran

For freight:

Modal split according to goods vehicles kilometres ran
Modal split according to freight tonnes kilometres ran

Parameter

Modal split according to passenger kilometres ran: total number of passenger kilometres ran for each mode within an urban area compared to the total number of passenger kilometres ran for all modes within an urban area.

Modal split according to vehicle kilometres ran: total number of vehicle kilometres ran for each mode within an urban area compared to the total number of vehicle kilometres ran for all modes within an urban area.

Modal split according to number of trips: total number of trips for each mode within an urban area compared to the total number of trips for all modes within an urban area.

Modal split according to goods vehicles kilometres ran: total number of goods vehicles kilometres ran for each goods vehicles mode within an urban region compared to the total number of goods vehicles kilometres ran for all goods vehicles modes within an urban area.

Modal split according to vehicle tonnes kilometres ran: total number of goods tonnes kilometres ran for each goods transport mode within an urban area compared to the total number of vehicle tonnes kilometres ran for all goods transport modes within an urban area.

Data sources

Information needed

Possible specific sources

Costs*

Advice to fill data gaps and/ or improve data quality

Vkm/passenger km/tkm/number of trips/vkm per trip

For vkm, pkm, tkm by vehicle type: different and complementary sources are possible, see last column.

M/H

Possible sources include:

National statistics on citizens’ habits and/ or censuses,
Travel surveys,
Estimation based on national data, taking into account urban region characteristics,
Estimation from an aggregated/ simplified modelling tool,
Odometer counts.

Traffic counts could be transferred to vkm using methods such as described in Lima de Azevedo et al (2009) or using 4-step traffic models. The first method is relatively simple, but the reliability will depend greatly on the sample size. The second method will be time consuming and, again, the reliability will depend greatly on the sample size. In addition, traffic models, in general, are focused on motorised transport.
For public transport modes, data on vkm (and/ or pkm and/ or trips) is usually available at urban level from public transport authorities/ operators providing the service.
For shared mobility, data can be obtained by the service providers. It might be that the public administration owns the services and therefore has full access to the data. The public administration could also be authorising the services, what implies that shared mobility operators have some report obligations to the public administration.

Data might be retrievable through Sustainable Urban Mobility Plans (SUMPs) and/ or other related traffic and mobility plans.

Trolley buses should be included in the calculation as “trams”.

* 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

Download

To download the indicator spreadsheet, click

20 JULY 2021

sumi_modal_split_for_dg_move_website.xlsx

English

(25.68 KB - XLSX)

Download

To download the indicator spreadsheet, click

20 JULY 2021

sumi_modal_split_for_dg_move_website.xlsx

English

(25.68 KB - XLSX)

Download