John Hiltner

Intraurban Residential Location Of The Elderly

Abstract Many socio-economic analyses of senior citizens presume the aged to be concentrated in the central cities of American metropolitan centers. This presumption was examined by studying the intraurban residential location patterns of the aged in Toledo, Ohio from 1940 to 1970. The residential location patterns of the elderly in each census period were mapped and discussed. Also, their residential location pattern was compared with the distributions of the non-elderly population and the black population. Although a slight concentration of aged in the central city was noted, their distribution was closely related to the distribution of the non-elderly population. Furthermore, they are much less segregated than the black population.

THE UTILIZATION OF SOCIAL AND RECREATIONAL SERVICES BY THE ELDERLY: A CASE STUDY OF NORTHWESTERN OHIO

This research is a study of the utilization of social and recreational services by a sample or urban, small town, and rural elderly in northwestern Ohio. The purpose of the research is to identify those specific socioeconomic characteristics which distinguish social service users from non-users. The logistic regression procedure is used to analyze the data. The elderly who are most likely to use the services are those persons who are 75 to 84 years of age, drive, have an income below

Who are the Elderly Users of Public Transportation? A Case Study in Toledo, Ohio

4000 or above

Intraurban Location of the Elderly

10,000, are female, and are in good health. The general applicability of Andersons model is demonstrated and the importance of enabling and predisposing factors in the prediction of service use is significant. However, location is not a key variable in explaining service use.

Where Non-academic Geographers are Employed

The lack of suitable transportation is a major problem of the elderly. Our purpose is to identify socioeconomic characteristics that differentiate between riders and nonriders of public and agency transportation in Toledo. A 1982 sample of 150 noninstitutionalized elderly provides the data base. Results of logistic regression analysis of the data indicate that the probability of ridingpublic transportation was highest for nondrivers, particularly those who live alone.