Modal share

 ( Low-carbon Economy ) 

A modal share (also called mode split, mode-share, or modal split) is the percentage of travelers using a particular type of transportation or number of trips using said type. Glossary (Engineering Services – Transportation, City of Vancouver website. Accessed 2009-06-04.) In freight transportation, this may be tonne-kilometre.

Modal share is an important component in developing sustainable transport within a city or region. In recent years, many cities have set modal share targets for balanced and sustainable transport modes, particularly 30% of non-motorized (cycling and walking) and 30% of public transport. These goals reflect a desire for a modal shift, or a change between modes, and usually encompasses an increase in the proportion of trips made using sustainable modes.

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Comparability of data Modal share data is usually obtained by travel surveys, which are often conducted by local governments, using different methodologies. Sampling and interviewing techniques, definitions, the extent of geographical areas and other methodological differences can influence comparability. Most typical surveys refer to the main mode of transport used during trips to work. Surveys covering entire metropolitan areas are preferred over city proper surveys which typically cover only the denser inner city. the reference years in these lists span over two decades, making comparisons problematic, especially given changing population, new transportation infrastructure and the effect of the COVID-19 pandemic, among other factors.

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Modal split of journeys to work The following tables present the modal split of journeys to work. Note that it is better to use a measure of all trips on a typical weekday, but journey to work data is more readily available. It would also be beneficial to disaggregate private motor vehicles figures to car driver, car passengers and motorbikes (especially relevant for Asian cities).

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Metropolitan areas with over 1,000,000 inhabitants

2016	GCCSA	Australia
Atlanta	1%	0%	3%	86%	2016	UA	USA
2019		Mexico
2006		Greece
2018	MUA	New Zealand
Austin	2%	1%	3%	83%	2019		USA
Baltimore	3%	0%	7%	84%	2016	UA	USA
2018		Spain
2005/2011		China
2015		Serbia
2023		Germany
2016 Charting Transport , retrieved 27 October 2017	GCCSA	Australia
2022		Belgium
2019		Colombia
2016	UA	USA
2015	Other (taxi): 4%	Romania
2011		Hungary
Calgary	4%	1%	8%	84%	2021	CMA	Canada
2016	UA	USA
2017		Germany
2016	UA	USA
2012KOTI,, retrieved 2013-12-31		South Korea
2008/2011		India
Detroit	1%	0%	2%	92%	2016		USA
Denver	2%	1%	4%	81%	2020	UA	USA
Dhaka	19%	39%	29%	13%	2009		Bangladesh
Dublin	18%	7%	15%	59%	2020		Ireland
Edmonton	3%	1%	6%	87%	2021	CMA	Canada
2021		China
2022		Germany
2016	MA, Other: 0.5%	Finland
2011		China
2016	UA	USA
2016	UA	USA
2019	UA *67% motorbike	Indonesia
2018		Malaysia
2016	UA	USA
2020		UK
2016	UA	USA
2018		Spain
2019		Philippines
2016	GCCSA	Australia
Miami	2%	1%	4%	87%	2016	UA	USA
2014		Italy
2016		Belarus
2016	CMA	Canada
2008/2011		India
2023		Germany
2011		Japan
2019	UA	USA
2010		Japan
Ottawa	8%	2%	18%	72%	2016	CMA	Canada
2020	Parisiens	France
2016	GCCSA	Australia
2016	UA	USA
2016	UA	USA
2016	UA	USA
2021		Czech Republic
2012	UA	Brazil
2014		Italy
2016	UA	USA
2016	UA	USA
2016	UA	USA
2016	UA	USA
2012	UA	Chile
2017	UA	Brazil
2016	UA	USA
Seoul	N/A	4%	66%	23%	2014		South Korea
2009/2011		China
2011		Singapore
Sofia	N/A	N/A	73%	27%	2010		Bulgaria
2011		Sweden
2020	Deloitte	Australia
2016		Taiwan
2022		Israel
2008/2009		Japan
2021	CMA	Canada
2021	CMA	Canada
2023, (German)		Austria
2015[3] , (Polish) retrieved 2016-01-20		Poland
2022	UA	USA

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Metropolitan areas with over 250,000 inhabitants

2004
2004
2020
2001
2015
2015
2021 Estudio de la Movilidad en la CAPV de 2021
2001
2001
2017
2014
2012
2012
2018
2011
2016
2018
2021
2004
2019
2018
2016
2017
2009–2010
2004
2019
2001
2015
2017
2021
2016
2004
2004
2018
2004
2016
2016
2017
2013
2011
2020
2004
2018
2004
2001
2023
2022
2001
2013
2019
2016
2004
2014
2017
2020
2021
2004
2018
2004
2004
2004
2011 Naujų transporto rūšių diegimo Vilniaus mieste specialusis planas , retrieved 2013-07-03
2021 Estudio de la Movilidad en la CAPV de 2021
2018
Victoria (CMA)	10%	7%	11%	70%	2016
2016
2018
2017
2015

Notes: European data is based on the Urban Audit Urban Audit , retrieved 2009-10-03

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Modal share targets The Charter of Brussels, signed by 36 cities including Brussels, Ghent, Milan, Munich, Seville, Edinburgh, Toulouse, Bordeaux, Gdansk, and Timișoara, commits the signatories to achieve at least 15% of bicycling modal share by 2020, and calls upon European institutions to do likewise. Charter of Brussels , retrieved 2009-10-03 The cycling modal share is strongly associated with the size of local cycling infrastructure.

The Canadian city of Hamilton adopted a similar modal share target plan in 2005.

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Modal share in the developing world The modal share differs considerably depending on each city in the developing world.

According to UNECE, the global on-road vehicle fleet is to double by 2050 (from 1,2 billion to 2,5 billion, see introduction), with most future car purchases taking place in developing countries. Some experts even mention that the number of vehicles in developing countries will increase by 4 or 5-fold by 2050 (compared to current car use levels), and that the majority of these will be Used car.

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Legislation impacting the modal share Legislation can discourage car ownership through, for example, taxation and conditions on Car ownership). This could help in achieving a modal shift.

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See also

• Air travel demand reduction
• Car ownership
• Circulation plan
• Phase-out of fossil fuel vehicles
• Intermodal passenger transport
• Mobility transition
• Mode choice (the decisions that determine Modal share, especially in traffic analysis and forecasting)
• Mode of transport
• Motonormativity
• Rail usage statistics by country
• Road reallocation
• Environmental aspects of the electric car
• Smart mobility

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Notes

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External links

• Epomm – Modal share data for more than 300 Cities with more or less than 100,000 inhabitants, mostly in Europe
• [10] – Modal share data and trends over the past 20 years for Australian cities (unpublished paper by David Ashley)

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