Exploring the Heterogeneity of the Travel Behavior of the Elderly in the Kumamoto Metropolitan Area Based on Latent Class Analysis

Globally, the elderly population is growing, particularly in Japan. The travel characteristics of the elderly vary and differ significantly from those of other populations. Therefore, the goal of this study was to investigate the heterogeneity in the elderly population in Kumamoto, Japan. Data from the 2012 household travel survey in the Kumamoto metropolitan area were analyzed using latent class analysis. Trips were classified into nine categories based on the travel purpose and were used as indicators. Five heterogeneous subgroups were identified: inactive seniors, seniors with essential living needs, senior commuters, seniors with high shopping needs, and active seniors. Senior females traveled diversely and had higher social needs, whereas senior males tended to continue working. Health-confident seniors were found to be more active than others. These results indicate that it is important to consider the heterogeneity in the elderly population while transportation planning.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.091
Citations
1
Primary Topic
Urban and spatial planning
Type
article
Field-Weighted Citation Impact
0.69
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article

Exploring the Heterogeneity of the Travel Behavior of the Elderly in the Kumamoto Metropolitan Area Based on Latent Class Analysis

Takuya Maruyama, Zhiwei Zhang
1 citations
Urban and spatial planning
0.69
article

Exploring the Heterogeneity of the Travel Behavior of the Elderly in the Kumamoto Metropolitan Area Based on Latent Class Analysis

Takuya Maruyama, Zhiwei Zhang
article en
1 citations

Abstract

Globally, the elderly population is growing, particularly in Japan. The travel characteristics of the elderly vary and differ significantly from those of other populations. Therefore, the goal of this study was to investigate the heterogeneity in the elderly population in Kumamoto, Japan. Data from the 2012 household travel survey in the Kumamoto metropolitan area were analyzed using latent class analysis. Trips were classified into nine categories based on the travel purpose and were used as indicators. Five heterogeneous subgroups were identified: inactive seniors, seniors with essential living needs, senior commuters, seniors with high shopping needs, and active seniors. Senior females traveled diversely and had higher social needs, whereas senior males tended to continue working. Health-confident seniors were found to be more active than others. These results indicate that it is important to consider the heterogeneity in the elderly population while transportation planning.

Openalex Percentile: Top 24%
Urban and spatial planning
0.69
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Exploring the Heterogeneity of the Travel Behavior of the Elderly in the Kumamoto Metropolitan Area Based on Latent Class Analysis — Takuya Maruyama, Zhiwei Zhang · (2024) | TGRS Research Map | TGRS