Abstract
Advances in information and communication technologies (ICT) have dramatically changed the nature of shopping and the way people travel. As this technology becomes deeply rooted in people’s lives, understanding the interplay between this way and personal travel is becoming increasingly important for planners. Using travel diary data from the 2017 National Household Travel Survey (NHTS) data for structural equation modeling (SEM) analysis, it revealed the interaction between e-shopping and shopping trips and the factors that affect this bidirectional relationship. Results show that e-shopping motivates shopping trips, and in-store shopping inhibits online shopping. It can be obtained that the increase of one standard deviation of e-shopping will increase the shopping trip by 0.17 standard deviation. When shopping trips increase by one standard deviation, e-shopping behavior also decreases by 0.12 standard deviation. The results also demonstrated that e-shopping and shopping travel behavior is heterogeneous across a variety of exogenous factors such as personal attributes, household characteristics, geography, travel distance/duration, and travel mode. Identifying the interaction may help formulate better transportation policies and lay the foundation for travel demand management strategies to reduce the stress on the transportation system and meet individual travel needs.
Highlights
We mainly focus on the household area and population density. e urban area contributes to the explanation of high frequency of shopping activities. e respondents living in the urbanized area and higher population density are prone to making more shopping activities online not in-store
Exploring the interaction between e-shopping and shopping trips is the key to study the impact of information and communication technologies (ICT) on flexible travel demand
The National Household Travel Survey (NHTS) 2017 database was used for the first time and structural equation modeling (SEM) was established to Complexity reveal the factors affecting shopping trips and online shopping and their interaction
Summary
Salomon [30] concluded that the substitution of information and communication technologies for travel is of minor importance because the net effect is a modification of travel rather than a reduction of volumes It is e-shopping that has an impact on shopping trips but shopping trips influence e-shopping behavior. E early research was carried out by Farag et al [31] using the shopping survey data of 826 interviewees; the author studied the relationship between web search frequency, online purchase, and nondaily shopping trips by SEM. As one crucial deficiency of correlation and regression modeling is that it is not capable of modeling the reciprocal influence among dependent variables Some of these results neither revealed the in-depth effects of online shopping on shopping trips nor did the results consider the characteristics of different factors. SEM is a statistical modeling technique that combines factor analysis with
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