CLC number: U491
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2017-02-07
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Yi-lin Sun, Ari Tarigan, Owen Waygood, Dian-hai Wang. Diversity in diversification: an analysis of shopping trips in six-week travel diary data[J]. Journal of Zhejiang University Science A, 2017, 18(3): 234-244.
@article{title="Diversity in diversification: an analysis of shopping trips in six-week travel diary data",
author="Yi-lin Sun, Ari Tarigan, Owen Waygood, Dian-hai Wang",
journal="Journal of Zhejiang University Science A",
volume="18",
number="3",
pages="234-244",
year="2017",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1500198"
}
%0 Journal Article
%T Diversity in diversification: an analysis of shopping trips in six-week travel diary data
%A Yi-lin Sun
%A Ari Tarigan
%A Owen Waygood
%A Dian-hai Wang
%J Journal of Zhejiang University SCIENCE A
%V 18
%N 3
%P 234-244
%@ 1673-565X
%D 2017
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1500198
TY - JOUR
T1 - Diversity in diversification: an analysis of shopping trips in six-week travel diary data
A1 - Yi-lin Sun
A1 - Ari Tarigan
A1 - Owen Waygood
A1 - Dian-hai Wang
J0 - Journal of Zhejiang University Science A
VL - 18
IS - 3
SP - 234
EP - 244
%@ 1673-565X
Y1 - 2017
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1500198
Abstract: Diversification in shopping, a long-pursued subject in consumer behavior analysis, is approached from a broad perspective of the diversity in daily travel patterns, which may or may not involve shopping trips, as well as the diversity in shopping locations and frequency. The focus of this analysis is on the heterogeneity across individuals in the ways in which they each diversify their respective shopping behavior. This study explores differences across individuals in the variations of their shopping travel patterns across days. Treating the day-of-the-week evolution of shopping travel patterns as a stochastic process, characteristics of diversification are quantified for respective individuals. Finally, heterogeneity across individuals is identified using an array of statistical methods. The analysis, based on results of a six-week travel diary survey in Germany with geo-coded activity locations, reveals the effects of individual, household, and urban attributes on diversification in shopping behavior, including that full-time workers with medium incomes (4000–4999 Deutsche Mark per month) tend to have more variations in their shopping engagement.
The paper investigates the end consumers' attitudes and preferences in shopping activities. In particular, the effects due to living in different urban areas are also pointed out. The paper is well written and the analysis are well described. The results are very interesting and useful for understanding and improving urban planning.
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