scholarly journals Identification of Prior Factors Influencing the Mode Choice of Short Distance Travel

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Ming Li ◽  
Guohua Song ◽  
Ying Cheng ◽  
Lei Yu
Keyword(s):  
Traffic Congestion ◽  
Household Income ◽  
Short Distance ◽  
Structural Equation ◽  
Mode Choice ◽  
Equation Modeling ◽  
Residential Areas ◽  
Factors Influencing ◽  
Willingness To Change ◽  
Distance Travel

Short distance trips are defined as any trips shorter than or equal to 5 kilometers, which have been found to be a big contributor to the traffic congestion problem. This paper is intended to analyze factors that influence the mode choice of short distance travels in order to help reduce short distance trips by cars. A survey is conducted at two typical kinds of residential areas, one with a high proportion of short distance car trips and another one with a low proportion. Then, by applying the structural equation modeling, it is found that the age, the household income, and the vehicle ownerships have a significant effect on the mode choice of short distance travels. Besides, among residents of the same type (same age, household income, and vehicle ownerships) in surveyed areas, those in the area with a better green-mode travel environment account for a higher proportion choosing the green mode than those in other areas. Based on this result, it is concluded that a better green-mode travel environment leads to a higher proportion of green-mode travels. In the end, the paper shows residents’ stated willingness to change travel modes from cars to the green mode.

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.

scholarly journals Factors Influencing Repurchase Intention in Drive-Through Fast Food: A Structural Equation Modeling Approach

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1205
Author(s):  
Yogi Tri Prasetyo ◽  
Allysa Mae Castillo ◽  
Louie John Salonga ◽  
John Allen Sia ◽  
Thanatorn Chuenyindee ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Indirect Effect ◽  
Fast Food ◽  
Structural Equation ◽  
The Philippines ◽  
Equation Modeling ◽  
Repurchase Intention ◽  
Online Questionnaire ◽  
Fast Food Industry ◽  
Factors Influencing

The drive-through fast-food industry has been one of the fastest businesses growing over the past decades in developing countries, including the Philippines. The purpose of this study was to evaluate factors influencing costumers’ repurchase intention in a drive-through fast food in the Philippines by utilizing the structural equation modeling (SEM) approach. A total of 305 Filipinos answered the online questionnaire, which contained 38 questions. The results of SEM indicated that subjective appetite (SA) was found to have a significant direct effect on menu options (MO). Consequently, MO was found to have significant direct effects on imagery elaboration (IE), vividness (VV), and convenience (CO), and an indirect effect on order accuracy (OA). Finally, SA, MO, IE, VV, OA, and CO were found to have significant effects on satisfaction (S), which subsequently led to loyalty (L) and repurchase intention (RI). Interestingly, MO was found to have the highest indirect effect on RI, indicating that MO is an important consideration for RI. This is the first comprehensive study evaluating drive-through fast food in the Philippines. The causal relationships of the present study can be applied and extended to evaluate the repurchase intention of drive-through fast food in other countries.

scholarly journals Prevention of cybercrimes in smart cities of India: from a citizen’s perspective

2019 ◽  
Vol 32 (5) ◽  
pp. 1153-1183 ◽  
Author(s):  
Sheshadri Chatterjee ◽  
Arpan Kumar Kar ◽  
Yogesh K. Dwivedi ◽  
Hatice Kizgin
Keyword(s):  
Conceptual Model ◽  
Structural Equation ◽  
Smart Cities ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Content Type ◽  
Actual Usage ◽  
Factors Influencing ◽  
Technology Adoption Model

PurposeThe purpose of this paper is to identify the factors influencing the citizens of India to prevent cybercrimes in the proposed Smart Cities of India.Design/methodology/approachA conceptual model has been developed for identifying factors preventing cybercrimes. The conceptual model was validated empirically with a sample size of 315 participants from India. Data were analyzed using structural equation modeling with SPSS and AMOS softwares.FindingsThe study reveals that the “awareness of cybercrimes” significantly influences the actual usage of technology to prevent cybercrimes in Smart Cities of India. The study reveals that government initiative (GI) and legal awareness are less influential in spreading of the awareness of cybercrimes (AOC) to the citizens of the proposed smart cities.Research limitations/implicationsThe conceptual model utilizes two constructs from the technology adoption model, namely, perceived usefulness and ease of use. The study employs other factors such as social media, word of mouth, GIs, legal awareness and organizations constituting entities spreading awareness from different related literature works. Thereby, a comprehensive theoretical conceptual model has been proposed which helps to identify the factors that may help in preventing cybercrimes.Practical implicationsThis study provides an insight to the policy maker to understand several factors influencing the AOC of the citizens of the proposed Smart Cities of India for the prevention of cybercrimes.Originality/valueThere are few existing studies analyzing the effect of AOC to mitigate cybercrimes. Thus, this study offers a novel contribution.

scholarly journals FACTORS INFLUENCING REPURCHASE INTENTION IN ONLINE SHOPPING CONTEXT: THE MEDIATING ROLE OF SATISFACTION

2018 ◽  
Vol 2 (1) ◽  
pp. 29-43
Author(s):  
Xin Jean Lim ◽  
Eugene Cheng-Xi Aw ◽  
Kenny Guan-Cheng Teoh
Keyword(s):  
Structural Equation ◽  
Online Shopping ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Future Research ◽  
Repurchase Intention ◽  
Performance Expectancy ◽  
Factors Influencing ◽  
Effort Expectancy

This study investigates the factors influencing repurchase intention in online shopping context.Self-efficacy and trust were integrated with Unified Theory of Acceptance and Use of Technology (UTAUT) components, namely performance expectancy and effort expectancy in explaining online repurchase intention. It was hypothesized that performance expectancy, effort expectancy, self-efficacy, and trust influence satisfaction and online repurchase intention. Satisfaction was posited to mediate the relationships between the proposed antecedents and online repurchase intention. 211 use able responses were collected through purposive sampling method and the data was analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM). All proposed hypotheses were supported except the effects of effort expectancy and performance expectancy on online repurchase intention. All mediating effects of satisfaction proposed were found to be significant. Based on the findings, implications and future research directions were discussed.

scholarly journals An Analysis of the Relationship between Victimization and Violent Behavior at School

2013 ◽  
Vol 16 ◽  
Author(s):  
Estefanía Estévez ◽  
Teresa I. Jiménez ◽  
David Moreno ◽  
Gonzalo Musitu
Keyword(s):  
School Violence ◽  
Structural Equation ◽  
Violent Behavior ◽  
School Context ◽  
Equation Modeling ◽  
Factors Influencing ◽  
Authority Figures ◽  
Modeling Techniques ◽  
The Relationship ◽  
Practical Implications

AbstractPrevious studies have identified two subgroups of school violence victims: submissive and aggressive. Submissive victims are characterized by their withdrawal in violent situations, while aggressive victims combine hostile behavior with victimization. This study focuses on the second subgroup and aims to analyze possible factors influencing the transition from passive victimization to involvement in aggressive behaviors within the school context. To test these relationships, 1319 adolescents between 12 and 16 years of age were recruited from seven secondary schools in various Spanish provinces. Structural equation modeling techniques were used to analyze the data. Results supported Emler’s theory, which posits that the victim’s helplessness in situations of intimidation, along with disappointment resulting from a lack of expected protection from adult authority figures, may result in adolescents searching and developing an antisocial and non-conformist reputation that helps them defend themselves against future attacks. Practical implications of these results are further discussed.

scholarly journals Introducing Emotioncy as an Invisible Force Controlling Causal Decisions: A Case of Attribution Theory

2017 ◽  
Vol 48 (1) ◽  
pp. 129-140 ◽  
Author(s):  
Reza Pishghadam ◽  
Hannaneh Abbasnejad
Keyword(s):  
Decision Making ◽  
Attribution Theory ◽  
Structural Equation ◽  
Judgment And Decision Making ◽  
External Factors ◽  
Equation Modeling ◽  
Internal Factors ◽  
Factors Influencing ◽  
Confirmatory Factor ◽  
Causal Judgments

Abstract Given the prominence of studies aimed at determining the factors influencing causal judgments, this study attempts to introduce the newly-developed concept of emotioncy as one of the guiding factors pushing attribution judgments toward a certain spectrum. To this end, two scales of attribution and emotioncy were designed using ten hypothetical situations. A total number of 309 participants filled out the scales. The construct validity of the scales was substantiated through confirmatory factor analysis (CFA). Afterwards, structural equation modeling (SEM) was utilized to examine the possible relationships among the sub-constructs of attribution and emotioncy scales. The results indicated that as the participants’ emotioncy level increases, it becomes more likely for them to attribute probable causes to external factors. Moreover, it was revealed that while the involved individuals attribute causes to external factors, the exvolved ones attribute them to internal factors. In the end, implications of the findings were discussed in the realm of judgment and decision making.

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