Traditionally, transport disadvantage has been identified using accessibility analysisudalthough the effectiveness of the accessibility planning approach to improving access toudgoods and services is not known. This paper undertakes a comparative assessment ofudmeasures of mobility, accessibility, and participation used to identify transport disadvantageudusing the concept of activity spaces. A 7 day activity-travel diary data for 89 individuals wasudcollected from two case study areas located in rural Northern Ireland. A spatial analysis wasudconducted to select the case study areas using criteria derived from the literature. Theudcriteria are related to the levels of area accessibility and area mobility which are known toudinfluence the nature of transport disadvantage. Using the activity-travel diary data individualsudweekly as well as day to day variations in activity-travel patterns were visualised. A modeludwas developed using the ArcGIS ModelBuilder tool and was run to derive scores related toudindividual levels of mobility, accessibility, and participation in activities from the geovisualisation.udUsing these scores a multiple regression analysis was conducted to identifyudpatterns of transport disadvantage. This study found a positive association between mobilityudand accessibility, between mobility and participation, and between accessibility andudparticipation in activities. However, area accessibility and area mobility were found to haveudlittle impact on individual mobility, accessibility, and participation in activities. Income vis-àvisud´ car-ownership was found to have a significant impact on individual levels of mobility, andudaccessibility; whereas participation in activities were found to be a function of individualudlevels of income and their occupational status.
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