Habits over space: Determinants of online shopping in a polycentric metropolitan region
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F25%3AA2603BMM" target="_blank" >RIV/61988987:17310/25:A2603BMM - isvavai.cz</a>
Result on the web
<a href="https://www.sciendo.com/article/10.2478/mgr-2025-0011" target="_blank" >https://www.sciendo.com/article/10.2478/mgr-2025-0011</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/mgr-2025-0011" target="_blank" >10.2478/mgr-2025-0011</a>
Alternative languages
Result language
angličtina
Original language name
Habits over space: Determinants of online shopping in a polycentric metropolitan region
Original language description
The COVID-19 pandemic accelerated the adoption of online shopping, making it an integral part of consumer behaviour. This surge in e-commerce adoption has potential implications for transport behaviour, spatial patterns of transport flows, and modifications to existing transport infrastructure. This paper aims to explain the spatial patterns of online shopping behaviour and its relationship to in-store shopping in the metropolitan region of Ostrava, a medium-sized polycentric agglomeration in the Czech Republic. The innovation-diffusion hypothesis was tested, which posits higher e-commerce adoption in urban cores, and the efficiency hypothesis, suggesting that e-commerce reduces the need for shopping-related travel. The research draws on survey data from 468 respondents to examine the effects of spatial, sociodemographic, and attitudinal variables on the frequency of online shopping. General linear models were employed to test both current differences in the frequency of online shopping behaviour and changes during the COVID-19 pandemic. Neither the innovation-diffusion hypothesis nor the efficiency hypothesis was supported. The frequency of online shopping showed relatively minor intra-metropolitan differences, with no systematic effects of urban form, centrality or accessibility. Lifestyle habits (specifically, time spent online) emerged as the most significant predictor of online shopping behaviour. The findings revealed no significant substitution or complementary effects between online and in-store shopping, suggesting a neutral relationship. These results highlight the primacy of individual lifestyle and e-commerce adoption over spatial and sociodemographic factors in shaping patterns of shopping behaviour.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50700 - Social and economic geography
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Moravian Geographical Reports
ISSN
1210-8812
e-ISSN
2199-6202
Volume of the periodical
—
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
11
Pages from-to
144-154
UT code for WoS article
001588155400002
EID of the result in the Scopus database
2-s2.0-105018511624