Abstract
The studies analyzing the relationships between e-shopping and transport mostly ignore the effects in active mobility. This paper complements current research by studying how e-shopping affects individual walking time willingness to reach daily and non-daily retail opportunities, taking the city of Zaragoza, Spain as a case study. First, a questionnaire is administered, followed by a generalised ordered logit regression model analysis. Then, a gravity-based model is used to compare present walking accessibility levels to retail with an exploratory 2030 scenario based on the regression results. The results indicate a positive association between the frequency of e-shopping and the individual time willingness to reach daily and non-daily retail on foot. They also show that high-educated people tend to have lower time-willingness to reach both types of retail. For non-daily retail, women shopping online are more likely to spend more time on walking, while having children under 12 years old and having a car are negatively associated with walking time-willingness. The exploratory 2030 scenario shows a relevant increase of walking accessibility to daily and non-daily retail. The paper closes with a discussion on how the obtained findings can provide guidelines to improve policies that promote walking and active lifestyles.
Original language | English |
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Pages (from-to) | 729-753 |
Number of pages | 25 |
Journal | Transportation Planning and Technology |
Volume | 46 |
Issue number | 6 |
Early online date | 28 Jun 2023 |
DOIs | |
Publication status | Published - Nov 2023 |
Bibliographical note
Funding Information:This work was supported by H2020 Marie Skłodowska-Curie Action ‘iCHRONOS: The effects of Information and Communications Technology on transport-related social exclusion for vulnerable populations’ [grant number 101026011] and ‘VIR2ALL: Virtual reality for simulating a new generation of collaborative future scenarios to integrate land use and transport’. Ministerio de Ciencia e Innovación. Gobierno de España [grant number PID2021-123954NB-C21].
Keywords
- gravity-based model
- policymaking
- Walkability; e-shopping; accessibility