Spatial pattern analysis of address quality: A study on the impact of rapid urban expansion in China

Author(s):  
Yue Lin ◽  
Mengjun Kang ◽  
Biao He

Standard address data are essential geographical information that play an important role in urban management. However, due to the complex structures of Chinese addresses, poor address quality has long been a problem in China. Although several measures were established to improve the address quality, nonstandard address data are still common in new urban areas. To investigate the potential causes of the geographical disparities in address quality, in this paper, we hypothesize that the sprawling urban form caused by rapid urban expansion in China has hindered the generation of standard addresses in new urban areas. To test this hypothesis, the spatial pattern of address quality in Shenzhen, China, is analyzed, and the potential causal paths relating urban expansion, urban form, and address quality are examined using structural equation modeling. The results indicate poorer address quality in new urban areas in Shenzhen. Rapid urban expansion has an indirect negative relation with the address quality. In addition, both road compactness and land use compactness have a direct positive effect on address quality, but the latter is insignificant. In this case, to facilitate improvements in address quality, a plan with dense and small blocks is suggested in the planning of new urban areas.

2018 ◽  
Vol 2 (3) ◽  
pp. 39
Author(s):  
Besfat Dejen Engdaw ◽  
Melaku Debas Kebede

The process of urbanization in developing nations is attended without fast industrialization processes. As a result of this, the urbanization and urban process are accompanied by diverse problems. Hence this paper is aimed at identifying the effect of urbanization on citizens’ food insecurity by monitoring agricultural foodstuff production as a mediating variable.  A quantitative research methodology or approach has been used to depict out urban problems associated with unmanaged urbanization in the Ethiopian, particularly in Amhara regional state.   Structural Equation Modeling was employed to run a mediation analysis by decomposing the direct and indirect effects of one variable on the other. Correlation and regression analyses were executed to measure the direction and magnitude of the effect of the independent variable on the dependent. Regression analysis results indicated the existence of a significant direct effect of urbanization on food insecurity of citizens. The mediation analysis result shows agricultural foodstuff production doesn’t play a mediating role between urbanization and food insecurity. The paper, having traced out the effect of the urbanization on food insecurity, provides possible recommendations. The regional government should be very considerate about the pace of unmanaged, unindustrialized and unemployment induced urbanization. The regional government should address all pushing factors that are dragging farmers into the urban areas. So, it is important to find ways to make farmers beneficial from their farm activities. In this regard, the problem raised by farmers is the inability to settle the debt from fertilizers and improved seeds or at least what they get from selling what they have produced is used to settle their farm debt. Some policy measures such as subsidizing the farmer or extending the repayment period of their debt are then essential to help farmers lead a stable life and lead their families. The government/concerned body need to make a cost-benefit analysis by weighing the pressure from the migration of the farmers and the cost of subsidizing the farmers: compare prevention with curative. Moreover, as a short-term solution, the regional government should identify food unsecured urban households and embrace them in food security packages like urban safety-net programs.  And enhancing the limited income generation capacity of food insecured households.  Key words: Urbanization, Food in Security, Agricultural Foodstuff Production, Amhara Region


2022 ◽  
Vol 14 (1) ◽  
pp. 522
Author(s):  
Samith Madusanka ◽  
Chethika Abenayake ◽  
Amila Jayasinghe ◽  
Chaminda Perera

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.


2019 ◽  
Vol 8 (4) ◽  
pp. 165 ◽  
Author(s):  
Shiwei Lu ◽  
Yaping Huang ◽  
Chaoyang Shi ◽  
Xiping Yang

The design and optimization of urban form has always been a hot topic in urban planning and development research. Besides, the creation of continuous vitality in urban areas is of critical importance in the development of urbanization. However, due to the lack of data, it is difficult to measure the effects of urban form on neighborhood vibrancy. Additionally, no uniform conclusion has been drawn regarding to what degree urban form can contribute to neighborhood vibrancy. Taking advantage of emerging new data sources, the depth and breadth of related research can now be improved. Therefore, this paper uses high-precision positioning social media check-in data to approximate the vibrancy of 658 neighborhoods, and uses a geographical information system (GIS) to quantitatively measure the urban form indicators in the central area of Chengdu City, China. A quantitative exploration and analysis of the relationships between neighborhood vibrancy and urban form is conducted. The results of three regression models considering different explanatory variables show that socio-economic factors account for approximately 23% of neighborhood vibrancy. In addition, the correlation between the shape characteristics of a neighborhood and the vibrancy is weak. However, when the inner urban form indicators of neighborhoods are introduced into the regression model, the goodness of fit (R2) is nearly doubled. This finding indicates that strong associations exist between urban form and neighborhood vibrancy. Specifically, building density and functional diversity are positively correlated with neighborhood vibrancy. Unlike existing studies, this study finds that the road network within the neighborhood plays a positive role in the creation of neighborhood vibrancy. However, the impact of a road density indicator is not as powerful as the impacts of building density and functional diversity. This research can help urban designers to better design urban environments.


2021 ◽  
Vol 13 (23) ◽  
pp. 13413
Author(s):  
Haruka Kato ◽  
Atsushi Takizawa

In Japan, where the population is declining and aging significantly, walkability has attracted attention as a way to improve residents’ lifestyles. Therefore, it is essential to identify the residential clusters where walkability improvement would contribute to the maintenance of the population in order to select urban areas for the implementation of walkable designs. This study aimed to identify the residential clusters in which walkability affects the future population from the perspective of real estate prices. The reason for focusing on real estate prices is that they are expected to be a confounding factor connecting walkability and the future population. The method we used was to analyze the structural equation modeling of the impact of walkability index, real estate prices, and future population change ratio. This analysis was based on the neighborhood association scale. This study clarified that effective residential clusters are the business center cluster and the sprawl cluster. In the business center cluster and the sprawl cluster, the price of apartments for sale is the real estate value, through which the walkability index positively impacts the future population change ratio. This means that it is expected to contribute to the maintenance of the future population through a combination of walkable designs and housing policies that encourage people to change their residence types to apartments for sale when rebuilding old building stock using the location optimization plan policy.


2016 ◽  
Vol 3 (1) ◽  
pp. 143 ◽  
Author(s):  
Selahattin Kanten ◽  
Pelin Kanten ◽  
Murat Yeşiltaş

This study aims to investigate the impact of parental career behaviors on undergraduate student’s career exploration and the mediating role of career self-efficacy. In the literature it is suggested that some social and individual factors facilitate students’ career exploration. Therefore, parental career behaviors and career self-efficacy is considered as predictors of student’s career exploration attitudes within the scope of the study. In this respect, data which are collected from 405 undergraduate students having an education on tourism and hotel management field by the survey method are analyzed by using the structural equation modeling. The results of the study indicate that parental career behaviors which are addressed support; interference and lack of engagement have a significant effect on student’s career exploration behaviors such as intended-systematic exploration, environment exploration and self-exploration. In addition, it has been found that one of the dimensions of parental career behaviors addressed as a lack of engagement has a significant effect on career self-efficacy levels of students. However, research results indicate that student’s career self-efficacy has a significant effect on only the self-exploration dimension. On the other hand, career self-efficacy has a partial mediating role between lack of engagement attitudes of parents and career exploration behaviors of students.


2018 ◽  
Vol 5 (2) ◽  
pp. 37-49
Author(s):  
Wahyu Yulianto

The study purpose is to analyse the impact of training, competence, motivation and leadership towards performance either directly or through job satisfaction as a mediator variable. As many as 55 staff are considered as respondents in this research, and census method is used as the sampling method. Primary data in this study were collected through questionnaires and analyzed using Likert Scale. Secondary data are obtained from the organization structure Sukamandi Apparatus Training Centre (BDA), performance appraisal, staff attendance, information system and personnel management. Structural Equation Modeling Analisis of Moment Structures (SEM-AMOS) is used to process and analyze data. This study shows staff with high education, competence and leadership have a significant effect on performance, While the job satisfaction is significant in mediating the influence of training, competence and leadership on performance. Next on the employee with low education, training, competence, motivation and leadership have a significant influence on performance, while job satisfaction is significant in mediating the effect of competence and leadership on staff performance.   Keywords:  training, competence, motivation, leadership, job satisfaction, performance


2018 ◽  
Vol 3 (3) ◽  
pp. 431-440
Author(s):  
Santi Retno Sari

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.


2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Sanjit Singh H.

This research explores the impact of service satisfaction, relational satisfaction, price satisfaction, and commitment on customer loyalty in logistics outsourcing relationships in Indian scenario. 254 users of logistics services from India were selected for investigating the potential linkages among the aforementioned satisfaction aspects and loyalty. Structural equation modeling (SEM) was employed to test the reliability and validity of the measurement and structural model developed to study the relationship among the linkages. Findings from the study supports that logistics service satisfaction, price satisfaction, relational satisfaction and commitment do influence loyalty positively. The analysis suggests that service satisfaction is the most important antecedent having primary influence in the formation of customer loyalty. Service satisfaction also has secondary influence on loyalty by acting as a strong driver in both relational satisfaction and commitment aspects of the service dimensions. Price satisfaction though positively been driven by service satisfaction, was found to have less significant effect as a predictor of loyalty in this context. The present study suggests that relational satisfaction is the second major predictor of loyalty which also drives commitment. This research is not an end-point but an attempt to establish the linkages and the effect among the antecedents driving the building and retention of good buyer-seller relationship in logistics outsourcing.


Author(s):  
Carolin Siepmann ◽  
Pascal Kowalczuk

AbstractSmartwatches are the most popular wearable device and increasingly subject to empirical research. In recent years, the focus has shifted from revealing determinants of smartwatch adoption to understanding factors that cause long-term usage. Despite their importance for personal fitness, health monitoring, and for achieving health and fitness goals, extant research on the continuous use intention of smartwatches mostly disregards health and fitness factors. Grounding on self-determination theory, this study addresses this gap and investigates the impact of health and fitness as well as positive and negative emotional factors encouraging or impeding consumers to continuously use smartwatches. We build upon the expectation-confirmation model (ECM) and extend it with emotional (device annoyance and enjoyment) as well as health and fitness factors (goal pursuit motivation and self-quantification behavior). We use structural equation modeling to validate our model based on 335 responses from actual smartwatch users. Results prove the applicability of the ECM to the smartwatch context and highlight the importance of self-quantification as a focal construct for explaining goal pursuit motivation, perceived usefulness, confirmation and device annoyance. Further, we identify device annoyance as an important barrier to continuous smartwatch use. Based on our results, we finally derive implications for researchers and practitioners alike.


2021 ◽  
Vol 7 (3) ◽  
pp. 167
Author(s):  
Mohammad Rokibul Kabir ◽  
Md. Aminul Islam ◽  
Marniati ◽  
Herawati

Owing to the lack of research in emerging Asian nations, this research aimed to unearth the determinants of blockchain acceptance for supply chain financing by a Bangladeshi financing company called IPDC. Centred on a technology acceptance framework called UTAUT (unified theory of acceptance and use of technology) and open innovation research, an expanded model with a mediating variable is developed for this study. This research work employs the deductive inference method in conjunction with the positivism paradigm. A structural questionnaire was used to gather data, which were then processed through Smart-PLS (partial least square) for SEM (structural equation modeling). The survey includes all the people who are directly or indirectly involved in the supply chain financing platform of IPDC. The study consists of seven direct hypotheses and one mediating hypothesis. The results show that all the direct hypotheses except the impact of social influence on the behavioural intention to use (BINTU) blockchain are significant. The mediating hypothesis indicating the role of BINTU in the relationship between facilitating conditions (FCON) and the actual use of blockchain is also supported. FCON and BINTU together explain 88.7% variation in blockchain use behaviour for supply chain financing. The research advances past findings by employing an expanded UTAUT framework and validating observations with the other relevant studies throughout the world.


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