scholarly journals A Model for Complex Subsidence Causality Interpretation Based on PS-InSAR Cross-Heading Orbits Analysis

2019 ◽  
Vol 11 (17) ◽  
pp. 2014 ◽  
Author(s):  
Bahaa Mohamadi ◽  
Timo Balz ◽  
Ali Younes

Urban areas are subject to subsidence due to varying natural and anthropogenic causes. Often, subsidence is interpreted and correlated to a single causal factor; however, subsidence is usually more complex. In this study, we adopt a new model to distinguish different causes of subsidence in urban areas based on complexity. Ascending and descending Sentinel-1 data were analyzed using permanent scatterer interferometry (PS-InSAR) and decomposed to estimate vertical velocity. The estimated velocity is correlated to potential causes of subsidence, and modeled using different weights, to extract the model with the highest correlations among subsidence. The model was tested in Alexandria City, Egypt, based on three potential causes of subsidence: rock type, former lakes and lagoons dewatering (FLLD), and built-up load (BL). Results of experiments on the tested area reveal singular patterns of causal factors of subsidence distributed across the northeast, northwest, central south, and parts of the city center, reflecting the rock type of those areas. Dual causes of subsidence are found in the southwest and some parts of the southeast as a contribution of rock type and FLLD, whereas the most complex causes of subsidence are found in the southeast of the city, as the newly built-up areas interact with the rock type and FLLD to form a complex subsidence regime. Those areas also show the highest subsidence values among all other parts of the city. The accuracy of the final model was confirmed using linear regression analysis, with an R2 value of 0.88.

ACCRUALS ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 259-267
Author(s):  
Resshe Serlly Gita ◽  
Amir Hidayatulloh

This study aims to analyse the effect of tax services, tax amnesty, taxation knowledge, and tax sactions on taxpayer compliance. The population in the study is an individual taxpayer in the city of Yogyakarta. The sample in the study was an individual taxpayer in the city of Yogyakarta, and took part in the tax amnesty program. The sampling technique in this study used the convenience sampling method. Responden in the study amounted 60 respondents. The data anlysis technique in this study used multiple linear regression analysis. This study obtained result that taxpayer compliance in influenced by tax services and tax amnesty programs. However, taxation knowledge and tax saction does not affect taxpayer compliance. The cause of taxation knowledge does not affest taxpayer compliance, perhaps the understanding of taxpayers regarding the procedures for payment and reporting is still minimal. Meanwhile, the reason for lack of support fot tax sanction on taxpayer compliance, perhaps because taxpayers consider that saction given when taxpayer violate laws are still mild. Therefore, these two reasons are factors that encourage taxpayers to behave disobediently.


Author(s):  
Dwi Gema Soegesti ◽  
Defia Riski Anggarini

This study contains an analysis of the effect of compensation and training on the work motivation of hotel employees in the city of Bandar Lampung, research using multiple linear regression analysis is assisted using SPSS 25.0 with quantitative methods, the population used is employees who work in hotels by determining the research sample using hair formula which amounted to 65 respondents but in this study added respondents to 82 respondents The results of this study are as follows (1) Compensation has a positive and significant effect on employee work motivation (2) Training has a positive and significant effect on employee motivation (3) Compensation and training jointly have a positive and significant effect on employee work motivation.


2018 ◽  
Vol 3 (1) ◽  
pp. 80
Author(s):  
PUTRI PUSPITA_AYU

The research is to find out and analyze the contribution of Original income Equalization Funds against the region and the financial performance of local Government Counties and the city of se-West Java province. Hypothesis testing in this study using multiple regression analysis (Multiple Regression) on the grounds that its independent variable more than one. This analysis is used to determine the relationship between financial performance areas with independent variables (the original Revenue Equalization Fund and regional). To know the influence between independent variables with the performance levels of local government then performed testing of hypothesis testing research on the variables with the determination coefficient and t-test. Linear regression analysis of the barganda equation KKPD = 1.452 + 0, 561PAD – 0, 171DP + e. Whereas determinasinya coefficients (R2) of 25.3%. based on the research results obtained the conclusion that Equalization Fund of PAD effect partially against the financial performance of local government.


2017 ◽  
Vol 3 (1) ◽  
pp. 75
Author(s):  
Francesco Ceresia ◽  
Rosa Marìa Molina Moreno ◽  
Ángel Solanes Puchol

The main aim of this paper is to to explore the perception and attitude of people toward an important issue like the City Garbage Management. A new Survey Questionnaire to measure the perception and attitudes towards city garbage management has been developed by the Authors, in order to realize a very first analysis of compatibility of the Comprehensive Action Determination Model - CADM (Klöckner, 2013) with City Garbage Management issues. To test the application of the CADM model to City Garbage Management, a simple linear regression was calculated to predict the dependent variables based on predictor variables according the CADM model. The linear regression analysis shows a first confirmation of the CADM model applied to the perception and attitudes towards city garbage management.


2020 ◽  
Vol 17 (1) ◽  
pp. 72-83
Author(s):  
A. V. Zedgenizov ◽  
A. V. Bazan

Introduction. The paper discusses the problems of organizing the vehicles’ parking near large shopping centers and also describes their relevance, taking into account the transport services of retail outlets and residence places. The authors present the research of the problem by leading scientists, which is reflected in the regulatory documentation.Materials and methods. The authors used a mathematical description of the average parking duration and identified the main affecting factors, taking into account the proportion of workers in the mass gravity center. The authors proposed a mathematical dependence based on the average parking duration, taking into account reservation of parking places for workers and the required number of parking spaces for other categories. The paper considered the possibility of the intra-hour deficit of parking places based on the PHF-factor.Results. As a result, the authors made the comparison of the obtained values of the required parking spaces with the standard ones. The paper provided more than 30 types of mass gravity centers and urban areas. In addition, the authors considered the examples of assessing the required number of parking spaces near a large housing estate at the 8 km distance from the city center. Therefore, the authors proposed the technique for assessing the required number of parking spaces based on normative values per 100 m2 of the area of the mass gravity centers.Discussion and conclusions. The authors present recommendations are made for the practical application of the required number of parking spaces by the normative values.Financial transparency: the authors have no financial interest in the presented materials or methods. There is no conflict of interest.


2021 ◽  
Vol 5 (1) ◽  
pp. 5-10
Author(s):  
Catur Suheri ◽  
Zakaria Wahab ◽  
Marlina Widiyanti ◽  
Muchsin Saggaff Shihab

This study aimed to determine the effect of price perception and sales promotion on the purchase decision of Pertamax Turbo in the city of Palembang. The population in this study were all consumers who purchased Pertamax Turbo in Palembang in the 2021 period, with as many as 100 respondents using the purposive sampling technique. The multiple linear regression analysis results show that price perception has a positive and significant effect on the purchase decision of Pertamax Turbo in Palembang. Sales promotion has a positive and significant effect on the purchase decision of Pertamax Turbo in the city of Palembang. For the price perception variable, it is expected that the Pertamax Turbo price adjustment will be made to reach all people. In the sales promotion variable, increasing sales by giving discounts/discounts to consumers who purchase Pertamax Turbo is necessary.


2020 ◽  
Author(s):  
Fisky Noverta ◽  
Desfriana Sari

This study aims to determine the factors of customer loyalty, the population used in this study is customers who come to Bank Nagari, the Main Branch of the City of Padang. The sample of this study is 100 respondents and the technique used is the Slovin formula which has fulfilled the requirements that are feasible to be used as samples. Data analysis techniques used multiple linear regression analysis. The results of the study show that the variable (Y) Marketing Communication (X1), Customer Relationship variable (X2) simultaneously (together) affects the Customer Loyalty of the Main Branch of Bank Nagari in Padang and the indicators in this study are valid. Based on the results of the study obtained a figure of 19.1% that affects Customer Loyalty to Bank Nagari Padang Main Branch can be explained by tourist attraction objects, location and facilities. While the remaining 80.9% is influenced by other factors not tested in this study.


2020 ◽  
Vol 6 (1) ◽  
pp. 37-54
Author(s):  
Sri Marini

The development of the tourism and hospitality industry has encouraged the food industry to use edible flowers as an appetizing dish. The growth of gastronomy should stimulate its use to increase the value of local products, lifestyle, culture and even nutrition. Edible flowers, which are currently only used for garnishes, can actually be consumed. Hotels, restaurants, cake and pastry entrepreneurs have started using edible flowers as raw material for production. Apart from providing aesthetic value, flowers can create unique flavors to food. Purchase intention is influenced by product knowledge. Low product knowledge can lead to low purchase intention. This study aims to determine product knowledge, the purchase intention and the effect of product knowledge on purchase intention of edible flower restaurants in the city of Bandung. The method used in this research is descriptive and verification research methods. In this study, the population is the restaurants in the city of Bandung. Technique sampling used in this study is proportional random sampling technique. To test the research hypothesis, a simple linear regression analysis using SPSS was used. The results showed that the product knowledge of edible flower in restaurants at Bandung in the average category. Likewise, the purchase intention of edible flower restaurants in the city of Bandung is in the sufficient category too. The result of the regression analysis shows that product knowledge has a significant effect on the purchase intention of edible flower restaurants in the city of Bandung. The determinant coefficient value of 0.828 shows that the effect of product knowledge on purchase intention edible flower restaurants in Bandung is 82.8% and the remaining 17.2% is influenced by other factors not examined in this study.


2019 ◽  
Vol 11 (24) ◽  
pp. 7241
Author(s):  
Yingqun Zhang ◽  
Rui Song ◽  
Rob van Nes ◽  
Shiwei He ◽  
Weichuan Yin

The fast development of urbanization has led to imbalances in cities, causing congestion, pollution, and urban sprawl. In response to the growing concern over the distribution of demand and supply, a more coordinated urban structure is addressed in comprehensive planning processes. In this study, we attempt to identify urban structure using a Network–Activity–Human model under the Transit-Oriented Development (TOD) concept, since TOD is usually regarded as an urban spatial planning tool. In order to explore the strengths and weaknesses of the urban structure, we define the TOD index and unbalance degree and then classify the urban areas accordingly. We take the city of Beijing as a case study and identify nine urban types. The results show a hierarchical urban structure: the city center covers most of the hotspots which display higher imbalances, the surroundings of the city center are less developed, and the city edges show higher potentials in both exploitation and transportation development. Moreover, we discuss the extent to which the spatial scale influences the unbalance degree and apply a sensitivity analysis based on the goals of different stakeholders. This methodology could be utilized at any study scale and in any situation, and the results could offer suggestions for more accurate urban planning, strengthening the relationship between TOD and spatial organization.


Author(s):  
Antonio Gittens ◽  
Amer Shalaby

Reliability is cited as a key aspect of service quality, but many of the indicators in use today do not measure reliability from the user's perspective. A review of earlier work on transit user behavior concluded that the traveler's perspective of reliability was driven by punctuality in arriving at the destination, short waiting times at the origin stop, and consistent wait and travel times. Twenty indicators were assessed, but none were well suited to capturing all of these elements of reliability. A new measure, journey time buffer index (JTBI), was therefore proposed; the index used estimates of wait times at bus stops while capturing variability in wait and travel times that tended to increase the disutility of transit travel. Alternative formulations were developed for short and long headway service, and the new indicator was applied to the London Transit Commission's bus network in London, Ontario, Canada. This procedure demonstrated that the JTBI was better suited to identifying the factors contributing to unreliable service than metrics that focused on a single component of reliability. A linear regression analysis also highlighted that route length, stop spacing, time of day, route orientation relative to the city center, and passenger load all influenced reliability although the low adjusted R2 value of .298 showed that some major causes of reliability were not captured by the model.


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