Challenges for survey methods 5

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Conceptual framework

Developing disaggregated models of mobility and immobility behaviours of low income population groups in the context of their local accessibility to key destinations.

Methodology3

MERSEYSIDE LOCAL AREA TRAVEL POVERTY SURVEY Karen Lucas, Ian Phillips and John Bates

Institute of Transport Studies, University of Leeds

Want to know more detail about the conceptual approach or the methods? Contact me @ K.Lucas@leeds.ac.uk

Aims and objectives

POLITICAL

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 43

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

1. Local authority consultancy call off contract2. Decision to piggy-backing onto standard

household survey3. Increased costs and lack of accountability to

client 4. Survey length and complexity compromised

6. Inadequate sample size & poor data quality7. Uncompleted diary days and missing data8. Partial models and reduced significance9. Unreliable results and so inconclusive

evidence10. Unable to predict policy outcomes

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