An Assessment of Tabriz City From the Perspective of Indexes Favorable City for the Elderly

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

One of the major issues of population in the world is generally the problem of the aging population and the consequences of it. Therefore, the aim of this study is to evaluate the city of Tabriz based on favorable city indicators of the elderly (such as housing, social participation, respect and social support and health services). The methodology of this research is descriptive-analytical of the applied type and the method of collecting data and documentary and survey data. A questionnaire was used to collect data. The statistical population includes all 60 years old and older elderly people based on the general population census and housing in 1390 in the regions 1 and 10 of Tabriz Municipality. Using the Cochran formula, the sample size for area 1, 138 and for area 10, 138 it is achieved. Then, using the available sampling method, distributed among the regions 1 and 10 of Tabriz Municipality. Statistical analysis and structural equation modeling (SEM) have been used in data analysis. The results of the study indicate that the average housing situation, the rate of social participation, social support and health services among the elderly were moderate to low And the average respect index among the elderly is moderate and the level of each of the desirable city indicators of the elderly, except for the housing index, does not differ significantly in terms of housing type and residence area of respondents. Also, the effect of social support and health services on respect is equal to (0.44), the effectiveness of civic participation on respect is equal to (0.23) and the effectiveness of social participation on respect is equal to (0.17). Regarding the coefficient of explanation, we conclude that three variables (housing, social support and health services and social participation) explain a total of 0.82 of the variance of the variable of respect, and another 18.1% is related to factors other than existing variables.

Language:
Persian
Published:
Journal of Geography and Planning, Volume:23 Issue: 68, 2019
Pages:
214 to 240
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