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MERSEYSIDE LOCAL AREA TRAVEL POVERTY SURVEY 
Karen Lucas, Ian Phillips and John Bates 
Institute of Transport Studies, University of Leeds 
Developing disaggregated models of mobility and immobility behaviours of low income 
population groups in the context of their local accessibility to key destinations. 
1 
Conceptual framework 
1 Aims and objectives 
2 
1. To explore how far the social and economic 
disadvantages of low income populations can be 
used to explain inequalities in their travel 
behaviours. 
2. Conversely to identify the extent to which the 
low levels of travel activity of individuals living 
on low incomes contributes to their social and 
economic disadvantage 
3. To use these models to predict the likely effects 
of different policy measures on changing these 
travel behavioural outcomes 
Local context: 2 case study areas 3 Methodology 
4 
	 
POLITICAL 
1. Define indicators of travel behaviour and 
social disadvantage based on evidence of 
previous qualitative studies 
2. Set up a disaggregate model of travel 
behaviours based on UK National Trip End 
Model (NTEM) using National Travel Survey 
data 
3. Undertake a bespoke local survey of 
personal travel behaviours with 3-day diary 
in 2 study areas 
4. Recreate NTEM model at local level and 
combine with GIS-based models of 
accessibility 
Challenges for survey methods 5 
1. Local authority consultancy call off contract 
2. Decision to piggy-backing onto standard 
household survey 
3. Increased costs and lack of accountability to 
client 
4. Survey length and complexity compromised 
6. Inadequate sample size & poor data quality 
7. Uncompleted diary days and missing data 
8. Partial models and reduced significance 
9. Unreliable results and so inconclusive 
evidence 
10. Unable to predict policy outcomes 
Want to know more detail about the conceptual approach or the methods? Contact me @ K.Lucas@leeds.ac.uk

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Travel poverty survey methodology

  • 1. MERSEYSIDE LOCAL AREA TRAVEL POVERTY SURVEY Karen Lucas, Ian Phillips and John Bates Institute of Transport Studies, University of Leeds Developing disaggregated models of mobility and immobility behaviours of low income population groups in the context of their local accessibility to key destinations. 1 Conceptual framework 1 Aims and objectives 2 1. To explore how far the social and economic disadvantages of low income populations can be used to explain inequalities in their travel behaviours. 2. Conversely to identify the extent to which the low levels of travel activity of individuals living on low incomes contributes to their social and economic disadvantage 3. To use these models to predict the likely effects of different policy measures on changing these travel behavioural outcomes Local context: 2 case study areas 3 Methodology 4 POLITICAL 1. Define indicators of travel behaviour and social disadvantage based on evidence of previous qualitative studies 2. Set up a disaggregate model of travel behaviours based on UK National Trip End Model (NTEM) using National Travel Survey data 3. Undertake a bespoke local survey of personal travel behaviours with 3-day diary in 2 study areas 4. Recreate NTEM model at local level and combine with GIS-based models of accessibility Challenges for survey methods 5 1. Local authority consultancy call off contract 2. Decision to piggy-backing onto standard household survey 3. Increased costs and lack of accountability to client 4. Survey length and complexity compromised 6. Inadequate sample size & poor data quality 7. Uncompleted diary days and missing data 8. Partial models and reduced significance 9. Unreliable results and so inconclusive evidence 10. Unable to predict policy outcomes Want to know more detail about the conceptual approach or the methods? Contact me @ K.Lucas@leeds.ac.uk