scholarly journals The Interaction between E-Shopping and Shopping Trips: An Analysis with 2017 NHTS

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Chenlei Xue ◽  
Qunqi Wu ◽  
Maopeng Sun ◽  
Pengxia Bai ◽  
Yang Chen
Keyword(s):  
Standard Deviation ◽  
Information And Communication Technologies ◽  
Travel Behavior ◽  
Structural Equation ◽  
Travel Demand ◽  
Management Strategies ◽  
Shopping Behavior ◽  
Equation Modeling ◽  
Travel Demand Management ◽  
Shopping Trips

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.

Linking Residential Parking to Automobile Transportation Impact Outcomes at a Development Level

2020 ◽  
pp. 036119812096479
Author(s):  
Kristina M. Currans ◽  
Gabriella Abou-Zeid ◽  
Nicole Iroz-Elardo
Keyword(s):  
Travel Behavior ◽  
Travel Demand ◽  
Demand Management ◽  
Management Strategies ◽  
Land Development ◽  
Future Research ◽  
Alternative Mode ◽  
Travel Demand Management ◽  
Development Level ◽  
Automobile Demand

Although there exists a well-studied relationship between parking policies and automobile demand, conventional practices evaluating the transportation impacts of new land development tend to ignore this. In this paper, we: (a) explore literature linking parking policies and vehicle use (including vehicle trip generation, vehicle miles traveled [VMT], and trip length) through the lens of development-level evaluations (e.g., transportation impact analyses [TIA]); (b) develop a conceptual map linking development-level parking characteristics and vehicle use outcomes based on previously supported theory and frameworks; and (c) evaluate and discuss the conventional approach to identify the steps needed to operationalize this link, specifically for residential development. Our findings indicate a significant and noteworthy dearth of studies incorporating parking constraints into travel behavior studies—including, but not limited to: parking supply, costs or pricing, and travel demand management strategies such as the impacts of (un)bundled parking in housing costs. Disregarding parking in TIAs ignores a significant indicator in automobile use. Further, unconstrained parking may encourage increases in car ownership, vehicle trips, and VMT in areas with robust alternative-mode networks and accessibility, thus creating greater demand for vehicle travel than would otherwise occur. The conceptual map offers a means for operationalizing the links between: the built environment; socio-economic and demographic characteristics; fixed and variable travel costs; and vehicle use. Implications for practice and future research are explored.

scholarly journals The impacts of mediating the work environment on the mode choice in work trips

2021 ◽  
Vol 11 (1) ◽  
pp. 592-605
Author(s):  
Melchior Bria ◽  
Ludfi Djakfar ◽  
Achmad Wicaksono
Keyword(s):  
Work Environment ◽  
Public Transportation ◽  
Travel Behavior ◽  
Structural Equation ◽  
Mode Choice ◽  
Equation Modeling ◽  
Rapid Transit ◽  
Long Time ◽  
Socio Economic Variables ◽  
The Relationship

Abstract The impacts of work characteristics on travel mode choice behavior has been studied for a long time, focusing on the work type, income, duration, and working time. However, there are no comprehensive studies on the influence of travel behavior. Therefore, this study examines the influence of work environment as a mediator of socio-economic variables, trip characteristics, transportation infrastructure and services, the environment and choice of transportation mode on work trips. The mode of transportation consists of three variables, including public transportation (bus rapid transit and mass rapid transit), private vehicles (cars and motorbikes), and online transportation (online taxis and motorbike taxis online). Multivariate analysis using the partial least squares-structural equation modeling method was used to explain the relationship between variables in the model. According to the results, the mediating impact of work environment is significant on transportation choices only for environmental variables. The mediating mode choice effect is negative for public transportation and complimentary for private vehicles and online transportation. Other variables directly affect mode choice, including the influence of work environment.

Understanding Customers' Continuance Intention

2021 ◽  
Vol 52 (2) ◽  
pp. 68-93
Author(s):  
Bangaly Kaba
Keyword(s):  
Information And Communication Technologies ◽  
Structural Equation ◽  
Service Providers ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Internet Service ◽  
Digital Inequality ◽  
Internet Users ◽  
The Difference ◽  
Use Behavior

The purpose of this study is to understand the difference between Internet users' continuing use behavior in the context of digital inequality. Data were collected through a survey of Internet users in the Ivory Coast. The structural equation modeling technique was used to test the research hypothesis. This study showed empirically that concern over information and communication technologies (ICT) access as an explanation for digital inequality should be toned down. This research suggests emphasizing alternative factors to explain Internet sustained use intention by underprivileged individuals, including normative beliefs. The results will help internet service providers, governments, and international aid agencies to better understand users' behaviors or reactions to ICT available to them. This understanding provides a foundational platform upon which viable and effective information technology-enabled solutions and policies can be conceptualized and implemented. This study is one of the few that integrate three salient beliefs to differentiate ICT use continuance intention in the context of digital inequality.

scholarly journals The Psychology of Sharing: Multigroup Analysis among Users and Non-Users of Carsharing

2021 ◽  
Vol 13 (12) ◽  
pp. 6842
Author(s):  
Érika Martins Silva Ramos ◽  
Cecilia Jakobsson Bergstad
Keyword(s):  
Travel Behavior ◽  
Psychological Factors ◽  
Structural Equation ◽  
Subjective Norms ◽  
Equation Modeling ◽  
Intention To Use ◽  
Negative Effects ◽  
Confirmatory Factor ◽  
Negative Effect ◽  
Multigroup Confirmatory Factor Analysis

The present study investigates the determinants of intention to use carsharing services by an integrated model of psychological predictors of travel behavior. The model proposed is tested by multigroup confirmatory factor analysis (MGCFA) in structural equation modeling (SEM) with further discussion about analysis of invariance and its relevance for comparisons between groups. The sample was classified into four groups: Italian users, Italian non-users, Swedish users, and Swedish non-users of carsharing. The users were respondents who have used or are currently using carsharing, while non-users reported never using the carsharing services. The analysis of data from 6072 respondents revealed that control was the main predictor of intention to use carsharing; driving habits had stronger negative effects for users of carsharing than for non-users; subjective norms positively predicted the intention to use carsharing among all groups; trust was a predictor of intention only for the Italian groups; and climate morality had a small negative effect on the Swedish groups only. The outcomes of this investigation will increase the knowledge about the use of carsharing and help to identify the behavioral and psychological factors that primarily influence people’s intention to use it.

scholarly journals ANALISIS PENGARUH LAYANAN BELANJA ONLINE TERHADAP PERJALANAN BERBASIS RUMAH DAN TEMPAT AKTIVITAS DENGAN METODE SEM

2020 ◽  
Vol 3 (4) ◽  
pp. 1017
Author(s):  
James Salim ◽  
Leksmono Suryo Putranto
Keyword(s):  
Structural Equation Modeling ◽  
Direct Effect ◽  
Structural Equation ◽  
Online Shopping ◽  
Equation Modeling ◽  
Shopping Centers ◽  
Online System ◽  
Shopping Trips ◽  
Derived Demand

Transportation is an activity which moving a person or an object from one place to another place. Transportation is done not for desire, it is a derived demand for humans to do the activities for fulfiling their daily needs. Shopping is one of the activities that comply their daily needs. Nowdays, online shopping is a trend. Besides easy to do, online shopping can be done any where and any time because of its online system. Along with the growth of online shopping, a lot of people prefer online shopping rather than traditional shopping to shops, markets, shopping centers and other places. Thisthings could change number of people on doing shopping trips. Thisresearch aimsto find out what factors effects someone’s decision to shop online and find out wether online shopping has a direct effect on shopping trips done by people. Data for this reseach collected by quistionnaire. This research will be done with Structural Equation Modeling (SEM) Method. This research shows that experience and trust are strong factors on someone for making decision to shop online and shows that online shopping did not effect directly to people’s shopping trips.ABSTRAKTransportasi adalah kegiatan perpindahan tempat orang atau suatu benda dari satu tempat ke tempat lainnya. Transportasi dilakukan bukan karena keinginan, melainkan sebuah kebutuhan turunan karena manusia harus melakukan aktivitas untuk memenuhi kebutuhan mereka sehari-hari. Belanja adalah salah satu kegiatan yang dilakukan untuk memenuhi kebutuhan sehari-hari. Belanja online sendiri menjadi sangat trend saat ini. Belanja online selain mudah untuk dilakukan, bisa dilakukan kapan saja, dimana saja karena sistemnya yang bersifat online. Seiring dengan perkembangan belanja online, tidak sedikit orang yang lebih memilih melakukan belanja online dibandingkan melakukan belanja langsung ke toko, pasar, pusat perbelanjaan, dan tempat lainnya. Hal ini bisa jadi mempengaruhi jumlah orang yang melakukan perjalanan belanja. Penelitian ini dilakukan mengetahui faktor apa saja yang berperan dalam keputusan seseorang melakukan belanja online dan mengetahui apakah belanja online berpengaruh secara langsung terhadap perjalanan belanja yang dilakukan masyarakat. Data untuk penelitian didapatkan melalui kuesioner. Penelitian ini akan menggunakan Metode Structural Equation Modeling atau SEM. Dari hasil penelitian didapatkan bahwa pengalaman dan kepercayaan adalah dua faktor yang kuat dalam penentuan keputusan seseorang melakukan belanja online dan belanja online tidak mempengaruhi perjalanan belanja secara langsung

Effects of Traffic Congestion on Vehicle Miles Traveled

2018 ◽  
Vol 2672 (47) ◽  
pp. 92-102 ◽  
Author(s):  
Reza Sardari ◽  
Shima Hamidi ◽  
Raha Pouladi
Keyword(s):  
Travel Behavior ◽  
Traffic Congestion ◽  
Structural Equation ◽  
National Level ◽  
Network Connectivity ◽  
Transportation Systems ◽  
Equation Modeling ◽  
Population Mobility ◽  
Vehicle Miles Traveled ◽  
Land Use Patterns

The effects of traffic congestion on travel behavior are complex and multidimensional because they are related to various factors such as density, land use patterns, network connectivity, and individual preferences. Traffic congestion is a phenomenon that not only affects transportation systems but also influences commuters’ quality of life and population mobility. The present research aims to analyze the effects of traffic congestion on individuals’ travel behaviors, addressing both direct and indirect effects of congestion on vehicle miles traveled (VMT) per driver by implementing structural equation modeling (SEM) techniques. In addition to the causal analysis between traffic congestion and VMT, this study examined the complex relationship between an individual’s socioeconomic characteristics, the built environment, congestion, and VMT. Measuring local congestion at a national level is also a key contribution of this research. This study used the same methodology as the Texas A&M Transportation Institute to compute a road congestion index and quantify local congestion for 93,769 drivers within 337 metropolitan areas. Our findings suggest that congestion is the main driver of VMT reduction. The findings also confirm that residents in compact development regions have lower daily VMTs because of the proximity of origins and destinations in denser areas with higher job–population balances. Therefore, rather than expanding highway networks, public transit investment might address traffic congestion more efficiently—not only by providing residents with more equitable and sustainable means of transportation, but also by encouraging people to reside in more compact and location-efficient areas.

How logistics capabilities offered by retailers influence millennials’ online purchasing attitudes and intentions

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jason M. Riley ◽  
Richard Klein
Keyword(s):  
Structural Equation ◽  
Online Shopping ◽  
Reasoned Action ◽  
Explanatory Power ◽  
Online Reviews ◽  
Shopping Behavior ◽  
Equation Modeling ◽  
Content Type ◽  
Online Purchase ◽  
Online Shopping Behavior

Purpose The purpose of this study is to understand consumers’ use of online retail channels. This study examines how tracking capabilities, delivery speed, trust, logistics carriers’ reputation, people important to the consumer and online reviews influence Millennials’ online purchasing attitudes and intentions. Design/methodology/approach A survey was administered to 321 Millennials. Subsequently, it was used to test both direct and indirect hypotheses using structural equation modeling techniques. Findings The study determined that tracking capabilities, trust, people important to the consumer and online reviews directly influence online purchase attitude and by extension intention formation. The results also revealed that logistics carrier reputation moderates the trust to online purchase attitude linkage. Research limitations/implications This work improves the explanatory power of the theory of reasoned action by linking logistics factors to online shopping behavior. Further, it provides insight into the moderating influence of logistics carriers’ reputation. Practical implications For retailers, the results provide information on how to better develop ecommerce service offerings. By providing information about logistics services and capabilities during the ecommerce transaction, retailers can improve the chance that consumers will complete online purchases. Originality/value This research fills a gap in the literature regarding how to influence millennial consumers. Moreover, findings strengthen the understanding of online-purchasing attitudes and intentions formation, important to retailers developing new online shopping platforms and technologies.

Home-Based Teleshopping and Shopping Travel

2005 ◽  
Vol 1926 (1) ◽  
pp. 212-223 ◽  
Author(s):  
Christopher E. Ferrell
Keyword(s):  
San Francisco ◽  
Structural Equation ◽  
Equation Modeling ◽  
Information And Communications Technologies ◽  
Home Shopping ◽  
Bay Area ◽  
Home Based ◽  
Communications Technologies ◽  
Shopping Trips ◽  
Shopping Travel

Structural equation modeling techniques were used to explore the tradeoffs that people make when teleshopping from home. Early in the development and growth of online shopping, many assumed that it would become a direct substitute for traditional retail (out-of-home) shopping and thereby reduce shopping trips and vehicle miles traveled. A growing body of research on the interplay between the use of information and communications technologies suggests that people shop and travel for a multitude of reasons that depend on the interplay between lifestyle, availability and convenience of shopping opportunities and the demands of other activities during the day. Using the San Francisco Bay Area Travel Survey 2000 from California, this paper performs an activities analysis to investigate these relationships. Time use variables predict the amount of time each individual spends during the day on work, maintenance, discretionary, and shopping activities both inside and outside the home. These activities are used to predict the amount of shopping travel each person undertook. Results suggest that people substitute home teleshopping time for shopping travel time and that teleshoppers take fewer shopping trips and travel shorter total distances for shopping purposes. Variables constructed to represent the degree to which people are “time-starved” from the demands of their work and maintenance activities revealed that female heads of households tend to teleshop more, make more shopping trips and shopping trip chains, do more out-of-home shopping, and shop travel for longer periods than the rest of the survey population.

The effect of information privacy concern on users' social shopping intention

2020 ◽  
Vol 44 (5) ◽  
pp. 1119-1133 ◽  
Author(s):  
Tao Zhou
Keyword(s):  
Structural Equation ◽  
Information Privacy ◽  
Shopping Behavior ◽  
Equation Modeling ◽  
Research Model ◽  
Privacy Concern ◽  
Social Commerce ◽  
Complete Understanding ◽  
Content Type ◽  
Social Shopping

PurposeThe purpose of this research is to examine the effect of information privacy concern on users' social shopping intention.Design/methodology/approachBased on the 340 valid responses collected from a survey, structural equation modeling (SEM) was employed to examine the research model.FindingsThe results indicated that while disposition to privacy positively affects privacy concern, both reputation and laws negatively affect privacy concern, which in turn decreases social shopping intention. In addition, trust partially mediates the effect of privacy concern on social shopping intention.Research limitations/implicationsThe results imply that social commerce companies need to mitigate users' privacy concern in order to facilitate their shopping behavior.Originality/valueThis research disclosed that privacy concern receives a tripartite influence from users (disposition to privacy), platforms (reputation) and governments (laws). The results help us gain a complete understanding of information privacy concern mitigation in social shopping.

scholarly journals The fuzzy modelling of personal vehicle usage in Isfahan: Quantifying contributions from different travel Demand management strategies

2020 ◽  
Author(s):  
Hooman Mansoori ◽  
Hossein Haghshenas ◽  
Mohsen Aboutalebi Esfahani ◽  
John A Groeger
Keyword(s):  
Travel Demand ◽  
Demand Management ◽  
Management Strategies ◽  
Travel Demand Management ◽  
Fuzzy Modelling ◽  
Vehicle Usage
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