scholarly journals Insights Into the Correspondence Between Land Use Pattern and Spatial Distribution of Rail Transit Services

2021 ◽  
Author(s):  
Zhongqi Wang ◽  
Qi Han ◽  
Bauke de Vries ◽  
Li Dai
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Operations Management ◽  
Latent Variable ◽  
Structural Equation ◽  
Equation Modeling ◽  
Rail Transit ◽  
Land Use Patterns ◽  
Transit Services ◽  
The Relationship

AbstractThe identification of the relationship between land use and transport lays the foundation for integrated land use and transport planning and management. This work aims to investigate how rail transit is linked to land use. The research on the relationship between land use and rail-based transport is dominated by the impacts of rail projects on land use, without an in-depth understanding of the reverse. However, it is important to note that issues of operation management rather than new constructions deserve greater attention for regions with established rail networks. Given that there is a correspondence between land use patterns and spatial distribution of heavy railway transit (HRT) services at such regions, the study area (i.e., the Netherlands) is partitioned by the Voronoi diagram of HRT stations and the causal relationship between land use and HRT services is examined by structural equation modeling (SEM). The case study of Helmond (a Dutch city) shows the potential of the SEM model for discussing the rail station selection problem in a multiple transit station region (MTSR). Furthermore, in this study, the node place model is adapted with the derivatives of the SEM model (i.e., the latent variable scores for rail service levels and land use characteristics), which are assigned as node and place indexes respectively, to analyze and differentiate the integration of land use and HRT services at the regional level. The answer to whether and how land use affects rail transit services from this study strengthens the scientific basis for rail transit operations management. The SEM model and the modified node place model are complementary to be used as analytical and decision-making tools for rail transit-oriented regional development.

scholarly journals Children and Young Anxiety Scale- CYAS: Scale Development and Psychometric Properties in Brazilian Sample

2019 ◽  
Vol 12 (2) ◽  
pp. 37-47
Author(s):  
Thiago Francisco Pereira Soares ◽  
Makilim Nunes Baptista
Keyword(s):  
Latent Variable ◽  
Structural Equation ◽  
Anxiety Scale ◽  
Equation Modeling ◽  
Strong Correlations ◽  
Convenience Sample ◽  
Brazilian Sample ◽  
Youth Anxiety ◽  
External Variables ◽  
The Relationship

The aim of the study was to search for evidence of validity based on the relationship with external variables, and incrementally for the Child-Youth Anxiety Scale (CYAS). The convenience sample consists of 500 children and adolescents aged 10 to 18 years. The correlation between the scores of the CYAS factors and the scores of the instruments of the other constructs ADHD (MTA-SNAP-IV), anxiety (OQPS), rumination (QRR) and mood states (BRUMS) was initially performed, finding medium and strong correlations, which shows a satisfactory linear relation between the constructs to attest validity based on the relation with external variables. Structural Equation Modeling (SEM) was also performed with total MTA-SNAP-IV and its factors as criterion. In the modeling, it was possible to observe that, when introduced in the models, the CYAS becomes the latent variable with the greatest contribution, decreasing and canceling the OQPS contribution. These results affirm incremental validity for the CYAS. 

Processing Visual Temporal Information and Its Relationship to Psychometric Intelligence

2011 ◽  
Vol 32 (4) ◽  
pp. 181-188 ◽  
Author(s):  
Judith Haldemann ◽  
Corinne Stauffer ◽  
Stefan Troche ◽  
Thomas Rammsayer
Keyword(s):  
Latent Variable ◽  
Structural Equation ◽  
Functional Relationship ◽  
Positive Association ◽  
Duration Discrimination ◽  
Temporal Information ◽  
Equation Modeling ◽  
Visual Modality ◽  
Auditory Temporal Processing ◽  
The Relationship

According to previous studies there is a well-established functional relationship between temporal resolution power (TRP), assessed by auditory psychophysical timing tasks, and psychometric intelligence. Here we investigated whether the relationship between psychometric intelligence and temporal information processing can be also observed in the visual modality. For this purpose, performance on four visual psychophysical timing tasks (duration discrimination with filled and empty intervals, temporal generalization, and rhythm perception) was examined and related to performance on a psychometric test of intelligence. Correlational analyses indicated a reliable positive association between performance on each of the four temporal tasks and psychometric intelligence. Structural equation modeling suggested that performance on the four tasks can be assigned to one latent variable, referred to as TRP, which explained 16.5% of variance of psychometric intelligence. Findings indicate that the functional relationship previously observed between auditory temporal processing and psychometric intelligence can be generalized to the visual modality.

scholarly journals CUSTOMER ORIENTATION AND OFFICE SPACE PERFORMANCE: ASSESSING THE MODERATING EFFECT OF BUILDING GRADE USING PLS-MGA

2019 ◽  
Vol 23 (2) ◽  
pp. 117-129 ◽  
Author(s):  
Jun-Hwa Cheah ◽  
Siew-Imm Ng ◽  
Hiram Ting ◽  
Mumtaz Ali Memon ◽  
Siat Ching Stephanie Loo
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variable ◽  
Structural Equation ◽  
Performance Metrics ◽  
Customer Orientation ◽  
Moderating Effect ◽  
Equation Modeling ◽  
Office Space ◽  
Managerial Implications ◽  
The Relationship

This study presents a framework to measure and empirically validate the relationship between customer orientation and office space performance. The framework uses two types of customer orientation (i.e., responsive customer orientation and proactive customer orientation) and two types of office space performance metrics (i.e., tenant satisfaction and tenant loyalty). Moreover, the building grade (Grade A and Non-grade A) is incorporated into the framework to assess its moderating effect on the relationships. 380 usable responses were collected from building managers in Grade A and Non-grade A buildings using a questionnaire survey. Partial least squares structural equation modeling was utilized to perform latent variable and multi-group analyses. The findings indicate that proactive customer orientation enhances satisfaction to a level not reached by responsive customer orientation as well as suggesting the applicability of both customer orientations in different scenarios. While proactive customer orientation practices lead to higher satisfaction in Non-grade A office ten-ants, responsive customer orientation practices lead to greater satisfaction in grade A office tenants. The latter tend to be more satisfied with Grade A office and thus loyal. Theoretical and managerial implications are discussed.

Strategy and structure of the hotel industry in Malaysia

2007 ◽  
Vol 4 (1) ◽  
pp. 97
Author(s):  
Salleh Mohd Radzi ◽  
Mohamed Amran ◽  
Abdul Razak Aziz ◽  
Azlan Supardi
Keyword(s):  
Structural Equation Modeling ◽  
Analysis Of Variance ◽  
Structural Equation ◽  
Hotel Industry ◽  
Strategic Orientation ◽  
Equation Modeling ◽  
Major Purpose ◽  
Strategy And Structure ◽  
Relationship Of ◽  
The Relationship

The major purpose ofthis study was to examine the relationship of strategy and structure. Porter s(/980) strategic typology was utilized to classify hotel firms by strategic orientation; and, an analysis of variance was performed to determine the differences in their performance. Structural Equation Modeling was used to confirm the factors underlying the strategy and structure constructs.

A Partial Least Square Structural Equation Modeling: Prestige Perception in Tourism

2020 ◽  
Author(s):  
Murat Kayak
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Destination Brand ◽  
The Relationship ◽  
Intention To Revisit ◽  
Brand Prestige

This study aims to investigate destination brand prestige, and to explore the mediating effects of destination brand worldness between destination brand prestige and intention to revisit. Research is designed to collect primary data from the Taiwanese tourists. Partial least squares structural equation modeling is used to test the effects. The research model is appropriately implemented in Smart PLS 3 and a full mediation has existed through the empirical findings. The study shows how destination brand worldness mediates the relationship between destination brand prestige and intention to revisit.

Neuroimaging of Individual Differences: A Latent Variable Modeling Perspective

2018 ◽  
Author(s):  
Shelly Renee Cooper ◽  
Joshua James Jackson ◽  
Deanna Barch ◽  
Todd Samuel Braver
Keyword(s):  
Individual Differences ◽  
Individual Difference ◽  
Latent Variable ◽  
Structural Equation ◽  
Behavioral Measure ◽  
Equation Modeling ◽  
Latent Variable Modeling ◽  
Psychometric Theory ◽  
Human Connectome Project ◽  
Neuroimaging Data

Neuroimaging data is being increasingly utilized to address questions of individual difference. When examined with task-related fMRI (t-fMRI), individual differences are typically investigated via correlations between the BOLD activation signal at every voxel and a particular behavioral measure. This can be problematic because: 1) correlational designs require evaluation of t-fMRI psychometric properties, yet these are not well understood; and 2) bivariate correlations are severely limited in modeling the complexities of brain-behavior relationships. Analytic tools from psychometric theory such as latent variable modeling (e.g., structural equation modeling) can help simultaneously address both concerns. This review explores the advantages gained from integrating psychometric theory and methods with cognitive neuroscience for the assessment and interpretation of individual differences. The first section provides background on classic and modern psychometric theories and analytics. The second section details current approaches to t-fMRI individual difference analyses and their psychometric limitations. The last section uses data from the Human Connectome Project to provide illustrative examples of how t-fMRI individual differences research can benefit by utilizing latent variable models.

Analisis Peranan Kepuasan Dan Komitmen Sebagai Perantara Pengaruh Kualitas Jasa Tutorial Online Terhadap Loyalitas Mahasiswa

2018 ◽  
Vol 9 (2) ◽  
pp. 18-32
Author(s):  
Andy Mulyana ◽  
Devi Ayuni
Keyword(s):  
Service Quality ◽  
Structural Equation ◽  
Positive Influence ◽  
Management Program ◽  
Equation Modeling ◽  
Online Tutorial ◽  
Student Loyalty ◽  
The Relationship ◽  
Positive Effect

This study aims to evaluate the role of satisfaction and commitment as mediating the effect of service quality on student loyalty as the user of Open University's Online Tutorial. Based on data analysis on student of Management program 229 as respondents with Structural Equation Modeling (SEM), this study found the relationship between: (1) positive influence of service quality to satisfaction and loyalty of students using tuton; (2) the positive effect of satisfaction on student loyalty using tuton; (3) satisfaction is a mediator between service quality and loyalty of students using tuton. Conversely, commitment has no positive effect on student loyalty as a tuton user. In addition, commitment does not mediates the effect of satisfaction on the loyalty of tuton users. Keywords: service quality, satisfaction, commitment, loyalty

FEATURE,NILAI, KEPUASAN DAN LOYALITAS PELANGAN

2017 ◽  
Vol 2 (1) ◽  
pp. 45-52
Author(s):  
Iha Haryani Hatta
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Significant Influence ◽  
Customer Value ◽  
Structural Equation ◽  
Equation Modeling ◽  
Relationship Of ◽  
The Relationship ◽  
Customer Satisfaction And Loyalty

The aim of this study was to determine the relationship of the features of the value, satisfaction, and customer loyalty; the effect on the value of customer satisfaction and loyalty; influence of satisfaction on customer loyalty. A total of 200 merchant PT. BANK XYZ as respondents was selected randomly. Analyses were performed using structural equation modeling (SEM). The analysis showed that the feature has a significant influence on customer value, but not for customer satisfaction and loyalty. The values has a significant influence on satisfaction, but not on customer loyalty. Satisfaction has a significant influence on customer loyalty. Discussion and conclusions described in the article. Keywords: features of the value, satisfaction, customer loyalty

KONFLIK DAN KINERJA KARYAWAN

2018 ◽  
Vol 3 (3) ◽  
pp. 431-440
Author(s):  
Santi Retno Sari
Keyword(s):  
Leadership Style ◽  
Structural Equation ◽  
Employee Performance ◽  
Equation Modeling ◽  
Managerial Practices ◽  
Research Findings ◽  
Job Levels ◽  
The Impact ◽  
The Relationship ◽  
Practical Implications

The purpose of this paper is to examine the relationships to which leadership style (task and relations oriented leadership) moderate the impact of conflict on employee performance. Data were collected from 92 employees in different job levels. Partial least squares variance-based structural equation modeling (PLS-SEM) was used to test the relationship in the models. The results showed that task and relation conflict was associated with employee performance. The research findings also showed that leadership styles moderated the relationship between conflict and employee performance. This study offers implications for managerial practices. Practical implications and suggestions described in the paper Keywords: leadership style, conflict, performance.

Motivating and Retaining Festival Patronage

2020 ◽  
Vol 24 (4) ◽  
pp. 447-461
Author(s):  
Michelle (Myongjee) Yoo ◽  
Miranda Kitterlin-Lynch ◽  
Bomin Kim
Keyword(s):  
Structural Equation ◽  
Customer Relationship ◽  
Equation Modeling ◽  
Organization And Management ◽  
Customer Relationship Marketing ◽  
Study Results ◽  
And Behavior ◽  
The Relationship ◽  
Self Administered Questionnaire ◽  
Theoretical Foundations

Globally, festivals and host communities face increased competition each year from one another and from the myriad of alternate entertainment options. To remain competitive, festival organizers must fully understand what keeps festival attendees coming back year after year. Festivalscape has been an emerging concept of value in this arena, and previous studies have found that festivalscape has an effect on the attendees' emotion and behavior that influences their overall perceived value of the festival. The purpose of this study is to examine the relationship between festivalscape and the attendees' motivation, satisfaction, and loyalty. A self-administered questionnaire was developed and a structural equation modeling (SEM) was employed to test the proposed hypotheses. Study results support the hypotheses, indicating the importance of using festivalscape factors for festival organization and management and effective customer relationship marketing. Further, this study provides academic contributions to theoretical foundations by confirming the effects of these factors. This study also provides practical implications for managing festivals effectively and successfully.

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