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ECOMM, San Sebastian, 13-15 May 2009 Evaluating increases in accessibility for people who are socially excluded. Roger Mackett, Kamal Achuthan and Helena Titheridge Centre for Transport Studies University College London. Evaluating increases in accessibility for groups in the community.
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ECOMM, San Sebastian, 13-15 May 2009Evaluating increases in accessibility for people who are socially excluded Roger Mackett, Kamal Achuthan and Helena Titheridge Centre for Transport Studies University College London
Evaluating increases in accessibility for groups in the community This involves bringing together information on • The mobility capabilities of the members of the group • Their movement patterns or potential movement patterns • Potential improvements to the environment to increase accessibility • The cost of implementing the improvements • The numbers benefiting from the improvements These are brought together in AMELIA
The policy analysis tool A M E L I A
The policy analysis tool A Methodology for Enhancing Life by Increasing Accessibility
AUNT SUE • Funded by EPSRC under the SUE programme; • Focus is on increasing social inclusion through improving accessibility etc; • Involves UCL, London Metropolitan University and Loughborough University; • Main elements: • Design of a policy analysis tool - AMELIA; • Development of improved transport designs and operations; • Evaluation in the testbed areas.
The elements of the policy analysis tool, AMELIA Policy objective Benchmarks Changes in the number of socially excluded people meeting the benchmarks Policy actions to achieve the objective Analysis of the impact of the actions Data on the population in a socially-excluded group Data on the local area (transport networks, opportunities, etc)
The procedure Set the policy objective Identify the relevant characteristics AMELIA information system Select a policy action Guidance on values Set the values for the policy action Costs Set up the data for testing the policy action Run AMELIA Set the benchmark Examine the results
Guidance Guidance is provided on: • Best practice in design • Personal characteristics that define why the person is excluded
Characteristics of the policy actions • To date, 57 policy actions have been identified which can be examined using AMELIA • They have the following characteristics: • 10 types of social exclusion • 6 modes of travel • 14 types of policy action • 13 types of barriers that can be overcome
The study area – St Albans, Herts St Albans
The case study • Objective: to improve access within the city centre • The socially excluded group being considered: the population aged 65+ based on the Census of Population, 2001 (19231 people), disaggregated into categories according to walking ability using data from the Disability Survey of Great Britain. • The policy actions: • Providing dropped kerbs at existing crossings; • Providing crossings every 100 m; • Providing wider pavements; • Providing benches every 100 m.
The existing layout of benches, crossings and footways in the centre of St Albans.
The proposed layout of the new crossings, existing crossings with new dropped kerbs and the widened pavements.
The number of residents of St Albans aged 65 or over with various walking capabilities
Implementation of the case study Assumptions: • Those living within 800 metres of the city centre walk there (or travel by wheelchair); • The rest arrive by bus or car, split into their relative use by people aged 65+ nationally; • Bus users are allocated to the bus stop within 400m of the city centre most appropriate for where they live; they are then assumed to walk or use a wheelchair; • Car users allocated to car parks within 400m of city centre in proportion to their capacity; they are then assumed to walk or use a wheelchair.
Numbers of people arriving in the city centre and at the Old Town Hall by each mode
Increases in the numbers of people who can reach the Old Town Hall by each mode
Phase 2 - ConSEPT Consulting Socially Excluded People about Transport Objectives: • To check that the assumptions in AMELIA are valid • To help develop AMELIA as a consultation tool Procedure • Identify four suitable types of socially excluded people • Set up a series of discussions with groups of them around AMELIA • Refine AMELIA
Conclusions • It has been shown that AMELIA can calculate the mean cost per head of policy actions. • In this case, providing benches every 100 m seems to be the most cost effective policy action. • But, many assumptions have been made. • The largest difficulty is establishing ‘capabilities’. • Still lots of work to be done.
Further information Contact Professor Roger Mackett • E-mail: rlm@transport.ucl.ac.uk • AUNT-SUE website: http://www.aunt-sue.info/.