scholarly journals Mobility in Transportation Surveys

2021 ◽  
Vol 1203 (3) ◽  
pp. 032007
Author(s):  
Paulina Olenkowicz-Trempała ◽  
Aleksander Sobota ◽  
Jacek Chmielewski ◽  
Jan Kempa ◽  
Bertha Santos ◽  
...  
Keyword(s):  
Regression Models ◽  
Transportation Systems ◽  
Mobility Ratio ◽  
Economic Factors ◽  
Key Factors ◽  
Age Composition ◽  
Traffic Modelling ◽  
Fundamental Factor ◽  
Demand Models ◽  
Ratio Versus

Abstract An attempt to identify key factors impacting trip generation in different size cities is presented in this paper. Mobility is the fundamental factor in transport demand models, both for the present state and those for forecast scenarios. Moreover, research on inhabitants' mobility plays an important role in the process of urban and rural traffic modelling. It comes from the fact, regular transport surveys make it easier to determine factors impacting the number of trips taken by inhabitants in any selected study area, and to determine trends in these factors. Presentation of example results of mobility rate based on transportation surveys taken in various areas of Poland is the main goal of this paper. Results of analyses of selected macro-economic factors in transportation systems shaping are presented either. The trends in the number of inhabitants and their age composition, and motorization rates are those factors. They impact mobility ratios in the study area. Values of mobility ratio were developed based on the results of surveys which have been done in Poland till now, and on the authors' research. Mathematical regression models in estimating mobility ratio versus the selected independent factors are the results of this research either.

“YOUTH BULGES” IN EUROPE AND ASIA: HISTORICAL PERSPECTIVE AND ECONOMIC FACTORS OF RISK ACTIVATION

2020 ◽  
Vol 1 (6) ◽  
pp. 214-224
Author(s):  
Yu. V ZIN’KINA ◽  
Keyword(s):  
Population Structure ◽  
Historical Perspective ◽  
Scientific Literature ◽  
Political Stability ◽  
Economic Factors ◽  
Key Factors ◽  
Political Demography ◽  
Economic Nature

The article considers the phenomenon of “youth bulges” - the appearance in the population structure of numerous youth cohorts. The connection between the emergence of a “youth bulges” in society and the risks of political destabilization, which attracted the attention of a number of experts in the field of political demography, is analyzed and confirmed by examples from countries of two regions - Europe and Asia, where, unlike Europe, the influence of the phenomenon of “youth bulges” on political stability was not previously considered systematically. A significant layer of scientific literature has been analyzed and systematized, considering economic factors that increase the risk of political destabilization against the backdrop of a “youth bulges”; the key factors of an economic nature and their relationship with each other are highlighted.

scholarly journals Economic dimensions and legal regulation of the recovery of alimony obligations for the support of minor children in Russia

2021 ◽  
Vol 8 (4) ◽  
pp. 640-652
Author(s):  
Yulia Artemyeva
Keyword(s):  
Regression Models ◽  
Well Being ◽  
Legal Regulation ◽  
Opportunity Costs ◽  
Economic Factors ◽  
The Family ◽  
The Usa ◽  
Minor Children ◽  
Integral Indicator

The research aims to substantiate economic factors and legal regulation of alimony obligations for minors’ maintenance in Russia, referring to other countries’ experiences and applying a questionnaire, indicators of the parents’ well-being, the satisfaction of the child’s needs, and parents’ participation in raising a child after a divorce was determined as can be seen in Russia, the USA, Germany, and France. Regression models are built reflecting the influence of the number of alimony payments, the indicator of parent’s participation in raising a child, the opportunity costs associated with the choice made by each spouse in favor of the family and children, on the integral indicator of the effectiveness of alimony obligations and its particular indicators. The results obtained have determined the guidelines for forming legal regulation of alimony obligations in Russia, which will increase the legislative efficiency of the recovery of alimony payments

Media Ethics and Elections Coverage in Nigeria

2019 ◽  
pp. 212-227
Author(s):  
Abigail Ogwezzy-Ndisika ◽  
Ismail Adegboyega Ibraheem ◽  
Babatunde Adesina Faustino
Keyword(s):  
Women Politicians ◽  
Freedom Of Expression ◽  
Equal Access ◽  
Economic Factors ◽  
Media Ethics ◽  
Factors Affecting ◽  
Fundamental Factor ◽  
Economic Context ◽  
Ethical Performance ◽  
The Media

This paper examined media ethics in Nigerian using elections coverage as a lens. It focuses on the gender dimension, a fundamental factor in media and election debates; and brought to the fore the socio-political and economic factors affecting the ethical performance of journalists covering elections in Nigeria. It argues that journalist covering elections in Nigeria are operating in challenging socio-political and economic context, but are beginning to rise up to the occasion having improved on the coverage of women politicians. It concludes that despite the challenges, ethical reportage can promote gender balanced coverage of elections in Nigeria. It recommends that the media should provide platforms for engagements and give equal access to parties and candidates (both females and males); and also provide space in which freedom of expression can be exercised and alternative, dissenting, and minority voices heard.

Consumers' Potentials to Adopt a Healthy Eating Lifestyle

2016 ◽  
Vol 1 (2) ◽  
pp. 1-14
Author(s):  
Efthimia Tsakiridou ◽  
Elisavet Tsiamparli ◽  
Konstadinos Mattas
Keyword(s):  
Eating Behavior ◽  
Healthy Eating ◽  
Rasch Model ◽  
Economic Factors ◽  
Eating Patterns ◽  
Key Factors ◽  
Eating Style ◽  
Healthy Eating Behavior ◽  
The Rasch Model ◽  
Socio Economic Factors

Unambiguously, nowadays healthy eating patterns have attracted the interest of researchers, society and media. Mainly four key widespread messages “eat less fat”, “eat less sugar”, “eat less salt” and “eat more fibre”, are among those widely perceived as healthy eating behavior. All those messages could support a healthy eating lifestyle, and consequently, avoid several chronic diseases and health problems. This research aimed to examine consumers' attitudes towards healthy eating, their difficulty to adopt a permanent healthy eating style and to assess which items consumers find more or less difficult to follow. The Rasch model was applied to assess the obstacles consumers are facing to adopt and follow healthy eating patterns and to relate them with a range of attitudinal and socio-economic factors faced by individuals. Results highlight significant differences among consumers in adopting healthy eating patterns, depending on the level of several key factors (gender, age and education).

scholarly journals Digital transformation and optimization models in the sphere of logistics

2018 ◽  
Vol 44 ◽  
pp. 00009
Author(s):  
Vladimir Anisimov ◽  
Evgenii Anisimov ◽  
Tatiana Saurenko ◽  
Artem Smolenskiy ◽  
Oleg Yastrebov
Keyword(s):  
Wide Spectrum ◽  
Optimization Procedure ◽  
Transportation Systems ◽  
Digital Transformation ◽  
Key Factors ◽  
Optimal Plan ◽  
Logistics System ◽  
Proposed Model ◽  
Challenging Tasks ◽  
Discrete Programming

The efficiency, optimization, speed and time limits have always been of crucial importance for the logistics system, while saving of speed and time in the real-time mode are the key factors with transition to digital technologies and establishment of Industry 4.0 since they become the competitive advantages. The innovative use of technologies in such fields as data analysis, Internet of things and cloud calculations significantly change the logistical and transportation systems as a result of mating digital and existing supply chains becoming the catalyst of transition to “Logistika 4.0”. This work offers a model and method of shaping an optimal plan of fulfilling a complex of interrelated logistical operations for such changing conditions.The model is based on the presentation of optimization procedure as a non-linear task of discrete programming consisting in minimization of time of fulfilling the above complex of operations by a limited number of contractors partially interchangeable under conditions of limited budgeting. A model obtained thereat for establishing an optimal plan will belong to the class of nonpolynimially challenging tasks. In order to solve these tasks, a method has been suggested supported by a procedure of branches and boundaries. Thealgorithmisbasedon dichotomous branchingdiagram. Itsapplicationprovidesforreceivingboth quasi-optimalandoptimallogisticsplansfor the finite number of steps. Atthat, theassessmentofaccuracy is provided for quasi-optimal plans. The proposed model and method help solve a wide spectrum of practical tasks of logistical planning under conditions of digital transformation.

scholarly journals An application of Bayesian multilevel model to evaluate variations in stochastic and dynamic transition of traffic conditions

2019 ◽  
Vol 27 (4) ◽  
pp. 235-249 ◽  
Author(s):  
Emmanuel Kidando ◽  
Ren Moses ◽  
Thobias Sando ◽  
Eren Erman Ozguven
Keyword(s):  
Intelligent Transportation Systems ◽  
Regression Models ◽  
Transition Probabilities ◽  
Management Strategies ◽  
Gaussian Mixture ◽  
Transportation Systems ◽  
Hierarchical Regression ◽  
Dynamic Transition ◽  
Traffic Conditions ◽  
Traffic Speed

Abstract This study seeks to investigate the variations associated with lane lateral locations and days of the week in the stochastic and dynamic transition of traffic regimes (DTTR). In the proposed analysis, hierarchical regression models fitted using Bayesian frameworks were used to calibrate the transition probabilities that describe the DTTR. Datasets of two sites on a freeway facility located in Jacksonville, Florida, were selected for the analysis. The traffic speed thresholds to define traffic regimes were estimated using the Gaussian mixture model (GMM). The GMM revealed that two and three regimes were adequate mixture components for estimating the traffic speed distributions for Site 1 and 2 datasets, respectively. The results of hierarchical regression models show that there is considerable evidence that there are heterogeneity characteristics in the DTTR associated with lateral lane locations. In particular, the hierarchical regressions reveal that the breakdown process is more affected by the variations compared to other evaluated transition processes with the estimated intra-class correlation (ICC) of about 73%. The transition from congestion on-set/dissolution (COD) to the congested regime is estimated with the highest ICC of 49.4% in the three-regime model, and the lowest ICC of 1% was observed on the transition from the congested to COD regime. On the other hand, different days of the week are not found to contribute to the variations (the highest ICC was 1.44%) on the DTTR. These findings can be used in developing effective congestion countermeasures, particularly in the application of intelligent transportation systems, such as dynamic lane-management strategies.

scholarly journals NEIGHBORHOOD AGE COMPOSITION AND SELF-RATED HEALTH: FINDINGS FROM A NATIONALLY REPRESENTATIVE STUDY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S64-S64
Author(s):  
Amanda Lehning ◽  
Amanda J Lehning ◽  
Nicole Mattocks ◽  
Kyeongmo Kim ◽  
Richard J Smith
Keyword(s):  
Older Adults ◽  
Regression Models ◽  
Neighborhood Change ◽  
Age Composition ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Representative Study ◽  
Nationally Representative ◽  
Using Data ◽  
Conceptual Work

Abstract Neighborhood age composition is an understudied area. Furthermore, existing empirical and conceptual work is conflicting, with some indicating neighborhoods with more older adults are beneficial and other scholarship suggesting it can be detrimental. Using data from 7,197 older adults from the first wave (2011) of the National Health & Aging Trends Study combined with census tract data from the National Neighborhood Change Database, we examined the association between neighborhood age composition and self-rated health. Findings from logistic regression models indicate those living in neighborhoods with a growing concentration of older residents are significantly more likely to report lower self-rated health compared to those living in a neighborhood in which older adults overall are declining (β=1.51, p < .05) or are becoming diluted by younger residents (β=.66, p < .05). Results have implications for interventions promoting aging in place, particularly for those who may be stuck in place in age-concentrated neighborhoods.

scholarly journals Social and Economic Factors of Sports Activity in Russian Regions

2019 ◽  
Vol 71 ◽  
pp. 04009
Author(s):  
T.V. Kramin ◽  
M.R. Miftahov ◽  
W. Andreff ◽  
S.B. Eroshkina
Keyword(s):  
Institutional Factors ◽  
Physical Culture ◽  
Economic Factors ◽  
Sports Facilities ◽  
Full Time ◽  
Russian Regions ◽  
Key Factors ◽  
Sports Activity ◽  
Per Capita ◽  
The One

In this study, the key factors of sports activity in the Russian regions were identified and substantiated. The regional panel data for the period 2007–2017 was used as data for the study. It is shown that traditional material factors are highly significant in models for assessing the level of sports activity in the Russian regions. These include, in particular, the following indicators: the one-time carrying capacity of sports facilities, the per capita expenditures for physical culture and sports development, the number of sports facilities per 100 thousand people, the number of full-time physical culture and sports personnel per capita. Consequently, forecasting based on them will give a stable and reliable result. Along with the evidence of the significance of the material factors of sports activity, a justification of the influence of a number of intangible, institutional factors is given. Such factors include the awareness about the benefits of systematic physical education and sports, institutions of public encouragement and support for those involved in sports and physical culture, etc.

scholarly journals The Impact of Coating Ingredients on the Aging Resistance of Topcoat Paints by Model Trees

2020 ◽  
Author(s):  
Tzu-Tsung Wong ◽  
Shih-Hsuan Hung
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Prediction Method ◽  
Linear Regression Models ◽  
Key Factors ◽  
Model Trees ◽  
Factors Affecting ◽  
Aging Resistance ◽  
Before And After ◽  
The Impact

Topcoat paint is mainly composed of resin and pigment and hence its quality highly depends on the type and proportion of these two ingredients. This study aims at testing the formula of the topcoat paint for finding one that can achieve better quality for anti-aging. Various formulas of paint are applied on boards that will be put into ultraviolet accelerated test machines to simulate weathering tests. The gloss and color, before and after the tests, are collected and numerical prediction method M5P is used to grow model trees for discovering the key factors affecting aging. Based on the structure and the linear regression models in the trees, a better topcoat paint should be composed of a high proportion of resin and generally a low proportion of pigment. Good types of resin and pigment are also identified for keeping color and gloss.

scholarly journals An Analysis of Household Expenditures on Nursery Products in the United States

1990 ◽  
Vol 22 (2) ◽  
pp. 199-208 ◽  
Author(s):  
Wayne M. Gineo ◽  
S. Were Omamo
Keyword(s):  
United States ◽  
Household Income ◽  
The United States ◽  
Single Family ◽  
Key Factors ◽  
Age Composition ◽  
Household Expenditures ◽  
Factors Affecting ◽  
Competitive Edge ◽  
Home Construction

Abstract This paper develops Engel relationships to identify the determinants of household expenditures on nursery products and specifies their impact on consumer purchases of these goods for subregions of the United States. Household income, the number of single family home construction starts, educational level attained, and age composition of the population were found in influence nursery product expenditures. The economic variables of income and construction starts appear to be key factors affecting nursery purchases. To maintain a competitive edge, industry participants should monitor these variables carefully and adjust their production and marketing plans to meet changing market conditions.

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