Aging, Gender and Neighbourhood Determinants of Distance Traveled: A Multilevel Analysis in the Hamilton CMA
Ruben Mercado and
Antonio Páez
Social and Economic Dimensions of an Aging Population Research Papers from McMaster University
Abstract:
The objective of this study is to investigate the determinants of mean trip distance traveled by different mode types. The study uses data from the Hamilton CMA in Canada, and multilevel models to investigate demographic aging factors, gender differentials, and neighbourhood attributes on distance traveled. The results of the study validate previous findings regarding the decline in distance traveled as age advances. In addition, it is found that: 1) While this effect of age is present for all modes analyzed (car-driving, car-passenger, and bus) it is considerably more marked for car-driving; 2) There are significant gender effects compounded by the interrelated factors of employment constraints, household dynamics, and greater reliance on travel modes other than car driving; and 3) Neighbourhoods with high commercial and residential mix showed a negative relation with distance traveled only in the case of car-driver.
Keywords: distance traveled; aging; elderly; gender; neighbourhood influence; multilevel analysis (search for similar items in EconPapers)
JEL-codes: R22 R23 R41 R52 R58 (search for similar items in EconPapers)
Pages: 42 pages
Date: 2007-06
New Economics Papers: this item is included in nep-age, nep-geo and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:mcm:sedapp:209
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