scholarly journals Effect of socioeconomic and latent variables in vehicle ownership: A case study of Agartala city, India

2017 ◽  
Vol 7 (1.1) ◽  
pp. 472
Author(s):  
Amitabha Acharjee ◽  
Partha Pratim Sarkar ◽  
Joyanta Pal
Keyword(s):  
Public Transportation ◽  
Travel Behavior ◽  
Latent Variables ◽  
Structural Equation ◽  
Car Ownership ◽  
Vehicle Ownership ◽  
Socioeconomic Variables ◽  
Equation Modelling ◽  
Two Wheeler

On the whole, car ownership is regarded as an imperative variable in travel behavior research. Car and motorcycle ownership are increasing rapidly in developing countries leading to an unsustainable developments. Using a data of 584 respondents from the Agartala city randomly collected, a model has been prepared to understand vehicle ownership for both car and motorized two wheeler mode (MTW). Latent variables along with socioeconomic variables such as monthly income, gender, age were used for modeling vehicle ownership using structural equation modelling. Latent variables used in this study, flexibility (Motorized Two wheeler), Negative public transportation perception and comfort (car) were found to be significant in the model. Our result suggests apart from socioeconomic variables, latent variables also explains vehicle ownership model.

scholarly journals Emergence of Application Based Transportation and its Impacts on Travelling Trends: A Case Study of Lahore

2020 ◽  
Vol V (III) ◽  
pp. 214-229
Author(s):  
Hammna Jillani ◽  
Hesan Zahid ◽  
Nosheen Rasool
Keyword(s):  
Public Transportation ◽  
Structural Equation ◽  
Sharing Economy ◽  
Significant Shift ◽  
Travel Patterns ◽  
Female Population ◽  
The Sustainable Development ◽  
Equation Modelling ◽  
The Social

The urban transportation system impacts the sustainable development of a country. Ride sourcing is a transportation model that operates under the notion of sharing economy. This study attempts to identify the changes in travel patterns of the users, particularly female users and their access to space. Focusing on how for the women in Lahore, the mobility has changed? The data for this research has been collected from passengers and drivers of ride-sourcing in Lahore through structured questionnaires. Structural equation modelling (SEM) was used to do the econometric analysis of consumers and drivers. Main findings indicate that for females, there is a significant shift in travel patterns from conventional modes (family car, public transportation) towards ride-sourcing. The results indicate that Uber and Careem has improved mobility as women feel secure in ride-sourcing services compared to public transportation. The female population of Lahore have started taking more trips because of car availability. The paper also tries to calculate the carbon emissions of ride-sourcing. The increasing number of cars is contributing to the city's worsening air pollution as the concept of 'one person in one car' prevails. The social impacts are positive, where women have become more mobile and independent because of app-based transportation.

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 Understanding Electric Bicycle Users’ Mode Choice Preference under Uncertainty: A Case Study of Shanghai

2022 ◽  
Vol 14 (2) ◽  
pp. 925
Author(s):  
Feifei Xin ◽  
Yifan Chen ◽  
Yitong Ye
Keyword(s):  
Public Transportation ◽  
Travel Behavior ◽  
Mode Choice ◽  
Long Distance ◽  
Choice Preference ◽  
Transportation Modes ◽  
Electric Bicycle ◽  
Private Car ◽  
Public Transportation System

The electric bicycle is considered as an environmentally friendly mode, the market share of which is growing fast worldwide. Even in metropolitan areas which have a well-developed public transportation system, the usage of electric bicycles continues to grow. Compared with bicycles, the power transferred from the battery enables users to ride faster and have long-distance trips. However, research on electric bicycle travel behavior is inadequate. This paper proposes a cumulative prospect theory (CPT) framework to describe electric bicycle users’ mode choice behavior. Different from the long-standing use of utility theory, CPT considers travelers’ inconsistent risk attitudes. Six socioeconomic characteristics are chosen to discriminate conservative and adventurous electric bicycle users. Then, a CPT model is established which includes two parts: travel time and travel cost. We calculate the comprehensive cumulative prospect value (CPV) for four transportation modes (electric bicycle, bus, subway and private car) to predict electric bicycle users’ mode choice preference under different travel distance ranges. The model is further validated via survey data.

scholarly journals Safety Analysis of an Automobile Workshop Using Qualitative Risk Assessment Method and Risk Analysis Through the Structural Equation Modelling

2019 ◽  
Vol 16 (1) ◽  
pp. 25-39
Author(s):  
Ayomide Olawale Akintimehin ◽  
Sunday Ayoola Oke
Keyword(s):  
Risk Factors ◽  
Structural Equation Modelling ◽  
Latent Variables ◽  
Structural Equation ◽  
Factor Loading ◽  
Assessment Method ◽  
Repair Service ◽  
Equation Modelling ◽  
Qualitative Risk Assessment ◽  
The Impact

Abstract Automobile repair service hazards are risk factors for multiple severe accidents, and scientific proof reveals a relationship between repair activity hazards and accidents in the auto-mechanic workshop. In this research, the investigators approximated the impact of risk factors for automobile repair activities, using novel parameters, for severity of hazards and influences on subjects, and based on literature. Next, insights into the relationship between latent variables which are appraised by manifest variables using the structural equation modelling were pursued. The respondents answered questionnaires on probability of hazard occurrence, severity and some identified measured variables. The authors appraised 44 out of the 80 and 98 out of 99 distributed questionnaires for the first and second modules, respectively. The risk levels ranged between low and medium for the medium scale establishment due to the nature of work done in the automobile repair centre which exposes the workers to the level of risk. For the second module involving the use of structural equation modelling, the factor loading was the least for safety behaviours (0.06) and highest for machine efficiency (0.90). Of the fifteen hypotheses formulated six were accepted. It is concluded that the safety behaviour of workers depends safety on the workers in the firm irrespective of other factors such as management commitment to safety, environmental contributions and safety, communications. Understanding the impact of risk factors for automobile repair activities in workers is necessary in elevating awareness absent these parameters and to eliminate accidents.

scholarly journals By Using Model Shift and Improving The Walking Facilities: A Case Study In Kuala Lumpur, Malaysia

2014 ◽  
Vol 3 (4) ◽  
pp. 184
Author(s):  
Ali A Mohammed
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Travel Behavior ◽  
Cost Reduction ◽  
Kuala Lumpur ◽  
Private Car ◽  
Spss Software ◽  
Privately Owned ◽  
Main Attraction

The recent increase in privately owned vehicles has caused numerous problems: traffic congestions, unnecessary fuel lost and global warming are only few of these problems. This study will try to understand people’s behavior and modal choice and try to sway them to means of public transportation. A survey of mode choice between cars users in a neighborhood in Kuala Lumpur was conducted. A total of 25 surveys were collected over the course of a month. Among data collected were demographic details such as age, gender, educational level and travel behavior. The data was processed by SPSS software to determine which factors encourages and discourages using private, public transportation or walking. The study highlighted four models travel time reduction, travel cost reduction, and increase the parking charges and improves the walking facility. The sensitivity analysis results show that the main attraction that might switch private car users is travel time and improving the walking facility. The consequences of these would be less traffic on the roads contributing to less pollution and greater safety.

scholarly journals Analysis of Halal Certification Renewal Service Quality and Their Effect on the Customer’s Satisfaction and Loyalty in Yogyakarta (Case Study in Meatball Stall)

2021 ◽  
pp. 372-383
Author(s):  
Jumeri Jumeri ◽  
Khosyani ◽  
Falah M.A.F
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Customer Loyalty ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Modeling ◽  
Satisfaction Index

The society awareness in consuming halal, safe, and healthy foodstuff within these past few years kept on increasing. This was closely related to responsible food manufacturers which produced sustain halal foods, as evidenced by ownership halal certification. In order to increase the satisfaction of food producers and to maintain their commitment to extend the halal certificates, the quality of halal authority service should always be enhanced. This study aims to identify the Customer Satisfaction Index (CSI) value, to determine the influence of halal label and product attributes toward customer’s satisfaction and loyalty of meatball stalls in Yogyakarta, and to identify the influence of halal label toward selling volume on certified meatball stalls. The instruments used were questionnaires containing 21 quality attributes of halal certificate renewal service. Analyses were performed using Structural Equation Modeling (SEM). The model was composed of seven latent variables: halal certification, brand, price, taste, service, customer satisfaction and customer loyalty. Result of the research showed that taste and halal certification have significant effect on the customer’s satisfaction and loyalty of certified meatball stalls. Halal certification have affected the certified meatball stalls in Yogyakarta by increasing the selling volume of 25-37.5%.

scholarly journals Structural equation modelling the relationship between anti-fungal prophylaxis and Pseudomonas bacteremia in ICU patients.

2021 ◽  
Author(s):  
James Hurley
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Bacterial Infections ◽  
Structural Equation Models ◽  
Model Fit ◽  
Published Data ◽  
Icu Patients ◽  
Equation Modelling ◽  
Anti Fungal ◽  
The Relationship

Abstract Purpose Animal models implicate candida colonization facilitating invasive bacterial infections. The clinical relevance of this microbial interaction remains undefined. Observations from studies of anti-septic, antibiotic, anti-fungal, and non-decontamination-based interventions to prevent ICU acquired infection collectively serve as a natural experiment. Methods Three candidate generalized structural equation models (GSEM), with Candida and Pseudomonas colonization as latent variables, were confronted with blood culture and respiratory tract isolate data derived from 460 groups from 279 studies including studies of combined antibiotic and antifungal exposures within selective digestive decontamination (SDD) interventions. Results Introducing an interaction term between Candida colonization and Pseudomonas colonization substantially improved GSEM model fit. Model derived coefficients for singular exposure to anti-septic agents (-1.23; -2.1 to -0.32), amphotericin (-1.78; -2.79 to -0.78) and topical antibiotic prophylaxis (TAP; +1.02; +0.11 to + 1.93) versus Candida colonization were similar in magnitude but contrary in direction. By contrast, the model-derived coefficients for singular exposure to TAP, as with anti-septic agents, versus Pseudomonas colonization were weaker or non-significant. Singular exposure to amphotericin would be predicted to more than halve candidemia and Pseudomonas bacteremia incidences versus literature benchmarks for absolute differences of approximately one percentage point or less. Conclusion GSEM modelling of published data supports the postulated interaction between Candida and Pseudomonas colonization towards promoting bacteremia among ICU patients. The model implicates that anti-fungal agents have greater impact in preventing bacteremia versus TAP, which has no impact.

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