Does e-shopping for intangible services attenuate the effect of spatial attributes on travel distance and duration?

Abstract

E-shopping for intangible services (e.g., eating out services, hairdressing, and visits to movie theatres) refers to searching and paying for services online, but it requires e-shoppers to travel to use these services. In theory, e-shoppers' search space via the internet is less constrained by spatial attributes. As a result, spatial attributes may barely affect the distance and duration of trips resulting from e-shopping for intangible services. The present study used data from 714 valid face-to-face interviews in Beijing, China, to verify this hypothesis. The results showed that e-shoppers were likely to travel farther after purchasing intangible services online. The effect of spatial attributes on the distance of a single trip was largely attenuated due to online purchases of these services, and the effect on the duration was correspondingly weaker to a limited extent. Therefore, spatial interventions aiming to moderate travel distances and durations may not be as effective in the age of online shopping.

Impacts of teleworking and online shopping on travel: a tour-based analysis

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The influence of the built environment on online purchases of intangible services: Examining the mediating role of online purchase attitudes

“…Compared to detailed elements of the built environment, types of neighborhoods only provide limited information about the environment surrounding individuals' locations, possibly resulting in a weak link with online buying attitudes or behavior. In sum, future research needs to focus on more specific elements of the built environment surrounding a more appropriate place (e.g., workplace, primarily departure locations) instead of only residential places (Shi et al, 2019(Shi et al, , 2020a(Shi et al, , 2020bZhen et al, 2018).…”

“…In theory, consumers' search spaces for destination information are considerably extended when they purchase online. As a result, consumers tend to travel farther to consume services ordered online, thus increasing the use of motorized modes (Shi et al, 2020a(Shi et al, , 2020b. In particular, Shi et…”

Text sentiment analysis on E‐shopping product reviews using chaotic coyote optimized deep belief network approach

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