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Institute for Transport Studies
FACULTY OF ENVIRONMENT
Households without cars,
motoring costs and affordability
Giulio Mattioli
g.mattioli@leeds.ac.uk
(t)ERES Workshop
20 May 2015
Transport, access & inequalities (overall):
• transport/mobility (related/based) (social) (&) exclusion/inclusion;
transport disadvantage; socio-spatial exclusion; accessibility poverty;
mobility/transport poverty, etc.
Transport costs and affordability (more specifically):
• forced car ownership; transport poverty; oil vulnerability; energy
precarity/vulnerability of transport; commuter fuel poverty, etc.
 car-related economic stress
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Transport & social exclusion research - issues:
• Confusing variety of terms
• Broad, generic notions: essentially different exclusionary processes are
conflated (e.g. mobility difficulties, affordability, time poverty, etc.)
• Underdeveloped connections with wider debates on car dependence,
sustainable transport, travel & the built environment
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Two forms of car-related transport disadvantage:
• Car deprivation: lack of accessibility that might arise from not having
access to a car - the most investigated
• Car-related economic stress: car-owning households who need to
spend a disproportionately high share of their income to get where they
need to go, with negative consequences in terms of restricted activity
spaces and/or spending cuts in other essential areas
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Complementary relationship
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Source: Mattioli (2013)
Spatial patterns of economic stress / oil vulnerability:
• Greater incidence and intensity in suburban and rural areas: greater
car dependence, longer travel distances
• Households trade-off transport and housing costs – might ‘choose’ to
spend a lot on transport in order to be able to afford housing (residential
location choice)…
• …but often end up spending too much anyway (underestimate increase
in transport costs, buy larger house, exogenous increase in fuel prices)
Institute for Transport Studies
FACULTY OF ENVIRONMENT
What about those who cannot afford car-ownership?
• Well-known link between income and car ownership
• Variety of reasons for non-car ownership little investigated. Focus
mostly on socio-psychological determinants of non-car ownership, pro-
environmental attitudes (ABC ‘attitude, behaviour & choice’ approach,
cfr. Shove, 2010)
• Lack of insights into spatial patterns of variation in reasons for not
owning cars (notably affordability)
 The object of this study
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Data:
• German National Travel Survey, 2008 (MiD 2008)
• 25,922 households, 2,953 without cars (17.7%)
• Question on the “reasons for not owning cars”: 6 binary items
• Considered additional variable: ‘no driving licence in households’
• 27
= 128 possible patterns of response
Methods:
• Latent Class Analysis: model-based classification technique for
categorical variables
• Output: classification of households based on full set of stated reasons,
adequately representing observed patterns of association
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Source: MiD 2008
Car
Abstinence
Too Old
to Drive
Economically
Car Deprived
No
Driving
Licence
Car
Free
Health
Impaired
Total
(carless )
Cluster size 35 19 17 14 10 5 100
Not necessary 67 29 27 12 100 0 45
Deliberate
abstinence 100 39 0 4 0 0 43
Too expensive 56 39 100 20 27 17 50
Health
reasons 13 49 6 0 8 100 20
Age reasons 5 100 0 5 0 0 21
Other reasons 17 17 0 100 9 14 25
No driving
licence 38 65 19 84 60 69 50
School of something
FACULTY OF OTHER
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Car
Abstinence
Too Old
to Drive
Economically
Car Deprived
No
Driving
Licence
Car
Free
Health
Impaired
Total
(carless )
Cluster size 35 19 17 14 10 5 100
Not necessary 67 29 27 12 100 0 45
Deliberate
abstinence 100 39 0 4 0 0 43
Too expensive 56 39 100 20 27 17 50
Health
reasons 13 49 6 0 8 100 20
Age reasons 5 100 0 5 0 0 21
Other reasons 17 17 0 100 9 14 25
No driving
licence 38 65 19 84 60 69 50
School of something
FACULTY OF OTHER
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Source: Mattioli (2013)
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Source: Mattioli (2013)
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Multinomial logistic regression. Source: Mattioli (forthcoming)
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Conclusions:
• Challenge to rigid opposition between choice vs. constraint in car
ownership behaviour
• Old-age related reasons: strong constraint to car ownership
• Affordability: weaker constraint – it can be bent… but the price is
economic stress
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Complementary relationship
Choice between two evils (for low-income households but not
only):
1. Own a car – and deal with economic stress
2. Do without it – and deal with lack of accessibility
The degree of car dependence in the residential area influences outcome
Alternative / complementary explanations:
• Urban households face higher housing costs = less disposable
income for transport
• … or might spend more in other areas (e.g. long distance travel, holiday
flights, etc., cfr. Holz Rau et al., 2014; Ottelin et al., 2014)
• Some form of residential self-selection
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Policy implications:
• Increasing car dependence / ownership -> decreasing number of
households who ‘cannot’ afford cars…
• …but transport disadvantage still exists - even though under more
energy-intensive disguises (car-related economic stress)
• ‘Peak car’ / successful efforts to reduce the need for car ownership ->
increasing proportion of households who find cars ‘too expensive’…
• …important that this is not interpreted as impoverishment / material
deprivation
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Institute for Transport Studies
FACULTY OF ENVIRONMENT
Thank you for your attention
Giulio Mattioli
g.mattioli@leeds.ac.uk
Institute for Transport Studies
FACULTY OF ENVIRONMENT
This presentation is based on a paper
currently under review – please do not
cite!
References:
BMVBS (Ed.) (2012). Mobilität, Erreichbarkeit und soziale Exklusion. Fähigkeiten und
Ressourcen einer ländlichen Bevölkerung für eine angemessene Versorgung und Teilhabe
am öffentlichen Leben. BMVBS-Online-Publikation 27/2012.
Holz-Rau, C., Scheiner, J., & Sicks, K. (2014). Travel distances in daily travel and long-
distance travel: what role is played by urban form? Environment and Planning A, 46, 488-
507.
Mattioli, G. (2013). Where sustainable transport and social exclusion meet: Households
without cars and car dependence in Germany and Great Britain. Unpublished PhD thesis,
University of Milan-Bicocca.
Ottelin, J., Heinonen, J., & Junnila, S. (2014). Greenhouse gas emissions from flying can
offset the gain from reduced driving in dense urban areas. Journal of Transport
Geography, 41, 1-9.
Shove, E. (2010). Beyond the ABC: climate change policy and theories of social change.
Environment and Planning A, 42, 1273-1285.
Institute for Transport Studies
FACULTY OF ENVIRONMENT

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02 Mattioli Households without cars

  • 1. Institute for Transport Studies FACULTY OF ENVIRONMENT Households without cars, motoring costs and affordability Giulio Mattioli g.mattioli@leeds.ac.uk (t)ERES Workshop 20 May 2015
  • 2. Transport, access & inequalities (overall): • transport/mobility (related/based) (social) (&) exclusion/inclusion; transport disadvantage; socio-spatial exclusion; accessibility poverty; mobility/transport poverty, etc. Transport costs and affordability (more specifically): • forced car ownership; transport poverty; oil vulnerability; energy precarity/vulnerability of transport; commuter fuel poverty, etc.  car-related economic stress Institute for Transport Studies FACULTY OF ENVIRONMENT
  • 3. Transport & social exclusion research - issues: • Confusing variety of terms • Broad, generic notions: essentially different exclusionary processes are conflated (e.g. mobility difficulties, affordability, time poverty, etc.) • Underdeveloped connections with wider debates on car dependence, sustainable transport, travel & the built environment Institute for Transport Studies FACULTY OF ENVIRONMENT
  • 4. Two forms of car-related transport disadvantage: • Car deprivation: lack of accessibility that might arise from not having access to a car - the most investigated • Car-related economic stress: car-owning households who need to spend a disproportionately high share of their income to get where they need to go, with negative consequences in terms of restricted activity spaces and/or spending cuts in other essential areas Institute for Transport Studies FACULTY OF ENVIRONMENT
  • 5. Complementary relationship Institute for Transport Studies FACULTY OF ENVIRONMENT Source: Mattioli (2013)
  • 6. Spatial patterns of economic stress / oil vulnerability: • Greater incidence and intensity in suburban and rural areas: greater car dependence, longer travel distances • Households trade-off transport and housing costs – might ‘choose’ to spend a lot on transport in order to be able to afford housing (residential location choice)… • …but often end up spending too much anyway (underestimate increase in transport costs, buy larger house, exogenous increase in fuel prices) Institute for Transport Studies FACULTY OF ENVIRONMENT
  • 7. What about those who cannot afford car-ownership? • Well-known link between income and car ownership • Variety of reasons for non-car ownership little investigated. Focus mostly on socio-psychological determinants of non-car ownership, pro- environmental attitudes (ABC ‘attitude, behaviour & choice’ approach, cfr. Shove, 2010) • Lack of insights into spatial patterns of variation in reasons for not owning cars (notably affordability)  The object of this study Institute for Transport Studies FACULTY OF ENVIRONMENT
  • 8. Data: • German National Travel Survey, 2008 (MiD 2008) • 25,922 households, 2,953 without cars (17.7%) • Question on the “reasons for not owning cars”: 6 binary items • Considered additional variable: ‘no driving licence in households’ • 27 = 128 possible patterns of response Methods: • Latent Class Analysis: model-based classification technique for categorical variables • Output: classification of households based on full set of stated reasons, adequately representing observed patterns of association Institute for Transport Studies FACULTY OF ENVIRONMENT
  • 9. Institute for Transport Studies FACULTY OF ENVIRONMENT Source: MiD 2008
  • 10. Car Abstinence Too Old to Drive Economically Car Deprived No Driving Licence Car Free Health Impaired Total (carless ) Cluster size 35 19 17 14 10 5 100 Not necessary 67 29 27 12 100 0 45 Deliberate abstinence 100 39 0 4 0 0 43 Too expensive 56 39 100 20 27 17 50 Health reasons 13 49 6 0 8 100 20 Age reasons 5 100 0 5 0 0 21 Other reasons 17 17 0 100 9 14 25 No driving licence 38 65 19 84 60 69 50 School of something FACULTY OF OTHER Institute for Transport Studies FACULTY OF ENVIRONMENT
  • 11. Car Abstinence Too Old to Drive Economically Car Deprived No Driving Licence Car Free Health Impaired Total (carless ) Cluster size 35 19 17 14 10 5 100 Not necessary 67 29 27 12 100 0 45 Deliberate abstinence 100 39 0 4 0 0 43 Too expensive 56 39 100 20 27 17 50 Health reasons 13 49 6 0 8 100 20 Age reasons 5 100 0 5 0 0 21 Other reasons 17 17 0 100 9 14 25 No driving licence 38 65 19 84 60 69 50 School of something FACULTY OF OTHER Institute for Transport Studies FACULTY OF ENVIRONMENT
  • 12. Source: Mattioli (2013) Institute for Transport Studies FACULTY OF ENVIRONMENT
  • 13. Source: Mattioli (2013) Institute for Transport Studies FACULTY OF ENVIRONMENT
  • 14. Multinomial logistic regression. Source: Mattioli (forthcoming) Institute for Transport Studies FACULTY OF ENVIRONMENT
  • 15. Conclusions: • Challenge to rigid opposition between choice vs. constraint in car ownership behaviour • Old-age related reasons: strong constraint to car ownership • Affordability: weaker constraint – it can be bent… but the price is economic stress Institute for Transport Studies FACULTY OF ENVIRONMENT
  • 16. Institute for Transport Studies FACULTY OF ENVIRONMENT Complementary relationship
  • 17. Choice between two evils (for low-income households but not only): 1. Own a car – and deal with economic stress 2. Do without it – and deal with lack of accessibility The degree of car dependence in the residential area influences outcome Alternative / complementary explanations: • Urban households face higher housing costs = less disposable income for transport • … or might spend more in other areas (e.g. long distance travel, holiday flights, etc., cfr. Holz Rau et al., 2014; Ottelin et al., 2014) • Some form of residential self-selection Institute for Transport Studies FACULTY OF ENVIRONMENT
  • 18. Policy implications: • Increasing car dependence / ownership -> decreasing number of households who ‘cannot’ afford cars… • …but transport disadvantage still exists - even though under more energy-intensive disguises (car-related economic stress) • ‘Peak car’ / successful efforts to reduce the need for car ownership -> increasing proportion of households who find cars ‘too expensive’… • …important that this is not interpreted as impoverishment / material deprivation Institute for Transport Studies FACULTY OF ENVIRONMENT
  • 19. Institute for Transport Studies FACULTY OF ENVIRONMENT Thank you for your attention Giulio Mattioli g.mattioli@leeds.ac.uk
  • 20. Institute for Transport Studies FACULTY OF ENVIRONMENT This presentation is based on a paper currently under review – please do not cite!
  • 21. References: BMVBS (Ed.) (2012). Mobilität, Erreichbarkeit und soziale Exklusion. Fähigkeiten und Ressourcen einer ländlichen Bevölkerung für eine angemessene Versorgung und Teilhabe am öffentlichen Leben. BMVBS-Online-Publikation 27/2012. Holz-Rau, C., Scheiner, J., & Sicks, K. (2014). Travel distances in daily travel and long- distance travel: what role is played by urban form? Environment and Planning A, 46, 488- 507. Mattioli, G. (2013). Where sustainable transport and social exclusion meet: Households without cars and car dependence in Germany and Great Britain. Unpublished PhD thesis, University of Milan-Bicocca. Ottelin, J., Heinonen, J., & Junnila, S. (2014). Greenhouse gas emissions from flying can offset the gain from reduced driving in dense urban areas. Journal of Transport Geography, 41, 1-9. Shove, E. (2010). Beyond the ABC: climate change policy and theories of social change. Environment and Planning A, 42, 1273-1285. Institute for Transport Studies FACULTY OF ENVIRONMENT

Editor's Notes

  1. Term transport poverty is used in our project title, workshop title and Twitter profile! However need (to try) to be clear about what we mean by it. We might not agree but at least point out different ways in which it is currently used. 2 main ways. The second – more specific one is the focus of interest in this workshop. Wide and confusing variety of terms used in both 1 & 2. Joke: researcher more likely to use someone else’s toothbrush than another researcher’s term! In keeping with this tradition – I will propose a new term in this presentation!
  2. These are points where advances can be made. The ambition in my PhD was to try and address those. Idea: we need to distinguish different types of transport disadvantage – then make arrows between them, etc. So this is what I am going to do
  3. Here elaborate on why I don’t like FCO: notion of an enforced car ownership misleading – leads to overlooking agency. The findings existing studies, and this study as well, suggest that they have agency. Plus even if we accept that it is enforced – this is not really what is distinctive about them (it is like that for many people, many of which have no problem with it) – what is distinctive here that economic stress arises! Also don’t like “transport poverty” so much coz it’s used both in a generic and specific sense + sometimes suggests analogy /equivalence with ‘fuel poverty’ which is problematic (they are conceptually different) CRES more neutral
  4. Car dependence: term used in many different contrasting ways. Here : structural, diachronical, spatial understanding. Figures depicting this self-reinforcing cycle are usually used to point out the negative environmental externalities arising from it. I try to insert different forms of transport disadvantage in it. Over time, intensity of car deprivation increases, but incidence decreases. For CRES: both intensity and incidence increase. In other words process is moving (low-income households) from CD to CRES. Idea of a COMPLEMENTARY RELATIONSHIP between them. This is one of the reasons why problems of CRES have attracted increasing attention. In the UK for example, motorisation has increased very rapidly among low-income households in the last 20 years. There are of course more specific / contingent reasons for increasing interest: increasing oil prices, expectation of “the end of cheap oil”, stagnating real incomes
  5. Strong spatial focus in this literature. Urban, spatial planning / idea of ‘resilience’
  6. While some households own and use cars despite the financial stress associated with it, others are carless because they judge that they cannot afford car-related expenses
  7. These two groups will be the focus of the analysis from here on. Together they account for 52% of carless households (56% individuals) but 73% of those who selected ‘too expensive’ Also note that they are also the only clusters where the majority owns at least a driver’s licence