scholarly journals Association of perceived environment walkability with purposive and discursive walking for urban design strategies

2021 ◽  
Vol 14 (1) ◽  
pp. 1099-1127
Author(s):  
Hsu-Sheng Hsieh ◽  
Min-Ta Chuang
Keyword(s):  
Land Use ◽  
Urban Design ◽  
Traffic Safety ◽  
Structural Equation ◽  
Design Guidelines ◽  
Equation Modeling ◽  
Design Tools ◽  
Design Strategies ◽  
Perceived Environment ◽  
Land Use Mix

The relationship between the built environment and walking behavior has been explored extensively. However, little research has been done to either differentiate between walking for transport and walking as activity or that applies urban design tools to walkability improvement based on environment-walking associations. Therefore, this study constructed perceived environment walkability factors to replace unidentified physical environments that varied among individuals and examined their associations with walking to a destination (purposive walking) and walking as activity (discursive walking), using factor analysis and structural equation modeling. Results suggest that residential density, land-use mix diversity, and pedestrian/traffic safety were associated with purposive walking while aesthetics and crime safety were associated with discursive walking. Land-use mix access and street connectivity were common correlates of both walking patterns. This study also explored how to apply urban design tools, including land-use plans, zoning control, and urban design guidelines, to shape a walkable environment based on the environment-walking associations.

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 Footwear Design Strategies for Thai Footwear Industry to Be Excellence in World Market

2019 ◽  
Author(s):  
Adul Adulyanukosol ◽  
Thanin Silpcharu
Keyword(s):  
Product Design ◽  
Structural Equation ◽  
World Market ◽  
Structure Interview ◽  
Sustainable Growth ◽  
Equation Modeling ◽  
Design Strategies ◽  
Footwear Industry ◽  
Semi Structure Interview ◽  
Footwear Design

The potential of Thai industrial product design is still inferior to those of leading competitors in world market that give more importance on the design during their product development to increase their competitive edges on commercial scale. The product design is very important part for sustainable growth in this industry. Thus, this research aims at investigating footwear design strategies for Thai footwear industry to be excellence in world market. The research has been designed with the mixed method of both qualitative and quantitative study. The quantitative data were collected through semi-structure interview from 500 designers who presented their designs to join the award competition. The results revealed that the footwear design strategies consisted of 4 factors, i.e. 1) design, 2) market analysis, 3) innovation, and 4) information technology. This paper utilizes the method of Structural Equation Modeling (SEM) to establish a strategies model for competitive advantage in Thai footwear industry. The analysis results indicated that the footwear design strategies model could help make more effective policies and organization strategies for enterprises and designers to develop themselves to be excellence in world market.

Importance of Automobile Mode Share in Understanding the Full Impact of Urban Form on Work-Based Vehicle Distance Traveled

2020 ◽  
Vol 2674 (4) ◽  
pp. 222-234
Author(s):  
Yang (Luna) Xi ◽  
Jeff Allen ◽  
Eric J. Miller ◽  
Steven Farber ◽  
Robert Keel
Keyword(s):  
Land Use ◽  
Urban Form ◽  
Structural Equation ◽  
Performance Indicator ◽  
Regional Growth ◽  
Equation Modeling ◽  
Substantial Impact ◽  
Employment Centers ◽  
Mode Share ◽  
Work Trip

Vehicle kilometers traveled (VKT) has been widely used in regional planning as a key sustainability performance indicator. Many regional growth plans for reducing work trip VKT have been proposed, with a focus on land use development in employment centers. Despite the potential impact of urban form on the reduction of VKT, the fundamentals of how this takes place remain unclear. This study analyzes the relationship between urban form, VKT, and mode shares by examining office commuting patterns in the Greater Toronto and Hamilton Area (GTHA) through a structural equation modeling approach. The model supports the substantial impact of urban form on the reduction of VKT; however, it indicates that such an impact is made mostly through shifting modes, rather than directly on reduced travel distances. This model is then used to evaluate critically a regional growth plan for the GTHA, finding that strategies focusing solely on increasing land use densities in employment centers are not likely to reduce regional VKT significantly without also easing commuting auto dependency. Thus, it is recommended that more sustainable travel alternatives for workers in employment centers should be provided to achieve a sufficient reduction in VKT.

scholarly journals Impacts of Land Use Change on the Regional Climate: A Structural Equation Modeling Study in Southern China

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Zhanqi Wang ◽  
Bingqing Li ◽  
Jun Yang
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Use Change ◽  
Structural Equation ◽  
Southern China ◽  
Regional Climate ◽  
Regional Climate Change ◽  
Equation Modeling ◽  
Surrounding Area ◽  
Rapid Urbanization

With the frequent human activities operating on the earth, the impacts of land use change on the regional climate are increasingly perceptible. Under the background of the rapid urbanization, understanding the impacts of land use change on the regional climate change is vital and significant. In this study, we investigated the relationships between land use change and regional climate change through a structural equation model. Southern China was selected as the study area for its rapid urbanization and different structure of land use among its counties. The results indicate that the path coefficients of “vegetation,” “Urban and surrounding area,” and “other” to “climate” are −0.42, 0.20, and 0.46, respectively. Adding vegetation area is the main method to mitigate regional climate change. Urban and surrounding area and other areas influence regional climate by increasing temperature and precipitation to a certain extent. Adding grassland and forestry, restraining sprawl of built-up area, and making the most use of unused land are efficient ways to mitigate the regional climate change in Southern China. The results can provide feasible recommendations to land use policy maker.

scholarly journals A Decision-Making Tool for Urban Planners: A Framework to Model the Interdependency among Land Use, Accessibility, Density, and Surface Runoff in Urban Areas

2022 ◽  
Vol 14 (1) ◽  
pp. 522
Author(s):  
Samith Madusanka ◽  
Chethika Abenayake ◽  
Amila Jayasinghe ◽  
Chaminda Perera
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Surface Runoff ◽  
Urban Form ◽  
Urban Areas ◽  
Structural Equation ◽  
Development Planning ◽  
Policy Implications ◽  
Equation Modeling ◽  
Variable Surface

The purpose of this study was to evaluate the four-dimensional relationship between land use, accessibility, density, and surface runoff in urban areas. In contemporary literature, a series of studies have been conducted that extensively discuss the natural components associated with the surface runoff in urban areas. However, the dynamic and complex dimensions of the urban form, such as land use, accessibility, and density, are yet to be fully understood. In this study, a 4D diagram was utilized to identify relationships between dimensions, in addition to decision tree analysis, to explore the structural flow between selected variables. Furthermore, a structural equation modeling (SEM) approach was employed with the purpose of investigating the direct, indirect, and moderating effects on the targeted dependent variable, surface runoff. The results of the analysis reported a strong correlation between land use, accessibility, density, and surface runoff, with an R-squared value of 0.802, which indicates an acceptable model accuracy by the international standard. A positive relationship between the four dimensions was indicated by the higher accessibility; the higher density in terms of a higher floor space index (FSI), ground space index (GSI), and open space; the building height of the adjacent buildings; the higher diversity of the land use; and the higher surface runoff. Accordingly, the findings of the study offer policy implications in the fields of land use planning, zoning regulations and overall urban development planning towards achieving climate resilient cities.

scholarly journals Component-based structural equation modeling for the assessment of psycho-social aspects and performance of athletes

2021 ◽  
Author(s):  
Rosa Fabbricatore ◽  
Maria Iannario ◽  
Rosaria Romano ◽  
Domenico Vistocco
Keyword(s):  
Structural Equation Modeling ◽  
Personality Traits ◽  
Structural Equation ◽  
Well Being ◽  
Sport Performance ◽  
Equation Modeling ◽  
Mental Skills ◽  
Path Modeling ◽  
Design Strategies ◽  
Validity And Reliability

AbstractRecent studies have pointed out the effect of personality traits on athletes’ performance and success; however, fewer analyses have focused the relation among these features and specific athletic behaviors, skills, and strategies to enhance performance. To fill this void, the present paper provides evidence on what personality traits mostly affect athletes’ mental skills and, in turn, their effect on the performance of a sample of elite swimmers. The main findings were obtained by exploiting a component-based structural equation modeling which allows to analyze the relationships among some psychological constructs, measuring personality traits and mental skills, and a construct measuring sports performance. The partial least squares path modeling was employed, as it is the most recognized method among the component-based approaches. The introduced method simultaneously encompasses latent and emergent variables. Rather than focusing only on objective behaviors or game/race outcomes, such an approach evaluates variables not directly observable related to sport performance, such as cognition and affect, considering measurement error and measurement invariance, as well as the validity and reliability of the obtained latent constructs. The obtained results could be an asset to design strategies and interventions both for coaches and swimmers establishing an innovative use of statistical methods for maximizing athletes’ performance and well-being.

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