scholarly journals Changes in Urban Mobility Related to the Public Bike System with Regard to Weather Conditions and Statutory Retail Restrictions

2021 ◽  
Vol 13 (18) ◽  
pp. 3597
Author(s):  
Marta Borowska-Stefańska ◽  
Miroslava Mikusova ◽  
Michał Kowalski ◽  
Paulina Kurzyk ◽  
Szymon Wiśniewski
Keyword(s):  
Regression Analysis ◽  
Comparative Analysis ◽  
Weather Conditions ◽  
Weather Station ◽  
Urban Mobility ◽  
The Public ◽  
Transport Behaviour ◽  
The Impact ◽  
Bike Share

The main purpose of the paper is to determine changes in transport behaviour of users of the public bike-share (PBS) scheme in a large Polish city, Łódź. By tracking GPS signals for individual trips taken by PBS users, it was possible to analyse their changeability (time and spatial) for periods before the implementation of statutory Sunday retail restrictions (2017) and after their partial introduction (2018). The study also took into account weather conditions, namely maximum and minimum daily temperatures and daily totals of precipitation recorded by a weather station in Łodź. In order to determine the correlations between certain weather conditions and PBS trips, the authors applied regression analysis. The results of the study showed that weekend cycling is less susceptible to the impact of weather than cycling on weekdays. At the same time, a comparative analysis of trading and non-trading Sundays proved that, during Sundays with retail restrictions, public bikes were used for longer, farther, and slower trips. These observations were confirmed by analyses of maps of traffic structure.

scholarly journals Assessing the Risk of Democratic Reversal in the United States: A Reply to Kurt Weyland

2021 ◽  
pp. 1-6
Author(s):  
Matias López ◽  
Juan Pablo Luna
Keyword(s):  
United States ◽  
Comparative Analysis ◽  
Boolean Algebra ◽  
Qualitative Comparative Analysis ◽  
The United States ◽  
American Democracy ◽  
Institutional Dynamics ◽  
The Public ◽  
Original Analysis ◽  
The Impact

ABSTRACT By replying to Kurt Weyland’s (2020) comparative study of populism, we revisit optimistic perspectives on the health of American democracy in light of existing evidence. Relying on a set-theoretical approach, Weyland concludes that populists succeed in subverting democracy only when institutional weakness and conjunctural misfortune are observed jointly in a polity, thereby conferring on the United States immunity to democratic reversal. We challenge this conclusion on two grounds. First, we argue that the focus on institutional dynamics neglects the impact of the structural conditions in which institutions are embedded, such as inequality, racial cleavages, and changing political attitudes among the public. Second, we claim that endogeneity, coding errors, and the (mis)use of Boolean algebra raise questions about the accuracy of the analysis and its conclusions. Although we are skeptical of crisp-set Qualitative Comparative Analysis as an adequate modeling choice, we replicate the original analysis and find that the paths toward democratic backsliding and continuity are both potentially compatible with the United States.

scholarly journals A comparative analysis of 3-D representations of urban flood map in virtual environments for hazard communication purposes

2018 ◽  
Vol 40 ◽  
pp. 06037 ◽  
Author(s):  
Rosa De Santis ◽  
Francesco Macchione ◽  
Pierfranco Costabile ◽  
Carmelina Costanzo
Keyword(s):  
Comparative Analysis ◽  
Water Level ◽  
Laser Scanning ◽  
Flood Hazard ◽  
Flood Hazards ◽  
Urban Flood ◽  
Hazard Communication ◽  
The Public ◽  
The Individual ◽  
The Impact

The flood hazard/risk maps do not allow a non-expert audience an immediate perception of the flooding impacts. Therefore, we need to modernize maps providing new communication approaches. In this context, 3-D representations of flood inundation through emerging formats in virtual and augmented realities may be considered as a powerful tool to engage users with flood hazards. The challenge of the research is to create a virtual 3-D environment aimed at supporting the public, practitioners and decision-makers in interpreting and understanding the impact of simulated flood hazards. For this purpose, the paper aims to perform a comparative analysis of two techniques to carry out the 3-D realistic visualizations of a flood map for representing a potential flooding of the Crati River, in the old town of Cosenza (South of Italy). The first approach develops a simple and quick workflow that provides an overall look at a neighbourhood level, but reveals some limits in water level visualization at the individual buildings scale. The second one requires additional terrestrial laser scanning (TLS) acquisition and overcomes some limits of the first approach, by providing a visual insight about water level close to building façades.

Climate, Grapevine Phenology, Wine Production, and Prices: Pauillac (1800–2009)

2011 ◽  
Vol 101 (3) ◽  
pp. 142-146 ◽  
Author(s):  
Jean-Michel Chevet ◽  
Sébastien Lecocq ◽  
Michael Visser
Keyword(s):  
Regression Analysis ◽  
20Th Century ◽  
Weather Conditions ◽  
Effect Of Temperature ◽  
Phenological Stages ◽  
Wine Production ◽  
19Th And 20Th Century ◽  
The 19Th Century ◽  
The Impact ◽  
Over Time

This paper analyzes 19th and 20th century data from a well-known château in Bordeaux. The dataset includes information on weather conditions, starting dates of three phenological stages of grapevine, prices, and yields. We discuss how these variables have evolved over the last two centuries. We also study to what extent the impact of climate on yields and prices has changed over time. Our regression analysis suggests that the effect of temperature on yields has become weaker since the 19th century. The influence on prices has, on the contrary, become stronger.

Regional Competitiveness

2022 ◽  
pp. 150-170
Author(s):  
Miloš S. Krstić ◽  
Vladimir Radivojević
Keyword(s):  
Human Capital ◽  
Regression Analysis ◽  
Data Analysis ◽  
Comparative Analysis ◽  
Trade Openness ◽  
Statistical Processing ◽  
European Countries ◽  
Regional Competitiveness ◽  
Correlation And Regression Analysis ◽  
The Impact

The aim of the chapter was to model the impact of selected determinants (trade openness, human capital, entrepreneurship, and innovation) on regional competitiveness, as well as to propose future activities and measures required to be implemented to improve the competitive performance of the regions. The research was conducted on the sample of 18 regions in six European countries: Serbia, Croatia, Slovenia, Northern Macedonia, Montenegro, and Romania. The database was prepared, and the statistical processing was performed in SPSS. In this data analysis, the following methods were used: comparative analysis, correlation, and regression analysis. The results of the research showed that the impact of the determinants—import dependence, the number of pupils enrolled in secondary education, gross domestic expenditure on research and development, and the number of companies per 10,000 inhabitants on the competitiveness of the region—are (statistically) significant.

scholarly journals Exploring the Link between Corporate Reputation with Sustainability Leadership and Market Valuation: A Comparative Analysis of Award and Non-Award Companies in PSX

2021 ◽  
Vol 7 (1) ◽  
pp. 19
Author(s):  
Rimsha Naz ◽  
Danish Ahmed Siddiqui
Keyword(s):  
Regression Analysis ◽  
Comparative Analysis ◽  
Stock Market ◽  
Corporate Reputation ◽  
Cash Flows ◽  
Market Valuation ◽  
Net Income ◽  
Market Capitalization ◽  
The Mean ◽  
The Impact

This literature investigated the impact of corporate reputation on companies’ performance and their market valuation in the Pakistan stock market. We attempted to explore whether companies with a high reputation for sustainability also perform better in the Pakistan stock market. Verifying signaling theory and asset-based theories on the Pakistani market, we explained why associations signal their promise to practicality to influence the outer point of view on reputation. A company's standing for being focused on supportability is a theoretical asset that can expand the estimation of an association's normal cash flows or potentially lessen the inconstancy of its cash flows. For finding out the companies with a reputation with sustainability, we used the PSX criteria of the award list. Data was taken from 2014 to 2018 (five years) from the award list announced by Pakistan stock exchange limited. We classify a company as an award company if it continuously got included in the PSX award list in a specified period of four out of five times. Similarly, a non-award company was classified as an accompanying with the same market capitalization as Award Company but not included in the list. In this way, 12 awards and 24 non-award companies were shortlisted. We also include 12 non-award companies of the same sector and market capitalization for sector analysis between reputation and non-reputation. Comparative analysis was carried out through 1-way ANOVA and factor affecting and market valuation of the two groups were explored using regression analysis. These factors included net income (NI), book value of equity (BV), Size, ROE, ROA, and Leverage (LEV) represented by debt ratio. According to expectation, our results of t-test suggested that the mean of all variables for award and non-award companies are significantly different and the mean of award companies are higher than their counter part. One way Anova consequences of sectorial examination demonstrated that concerning net gain, there is huge contrast between the methods for trustworthy organizations and non-respectable organizations in seven out of nine areas. Regression Analysis prove our equation that independent variable has significant impact on dependent variable. Our findings showed that the overall firms with incredible sustainability reputation and managed to name on award list of our sample year has greater valuation by the market when stood out from their counterparty (non-award companies). Hence, our results imply that organizations have to focus on their reputation for corporate sustainability which in turn improve their financial position and enhance their market valuation.

Investigating the Impact of Weather Conditions and Land Use on Dockless Bike-Share Trips in Shanghai, China

2021 ◽  
Vol 147 (4) ◽  
pp. 05021031
Author(s):  
Hongwei Li ◽  
Yingying Xing ◽  
Wenbo Zhang ◽  
Xiaoli Zhang
Keyword(s):  
Land Use ◽  
Weather Conditions ◽  
The Impact ◽  
Bike Share

The Pied Piper of Crime in America: An Analysis of the Presidents’ and Public’s Agenda on Crime

2002 ◽  
Vol 13 (2) ◽  
pp. 139-155 ◽  
Author(s):  
Willard M. Oliver
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Public Opinion ◽  
Presidential Rhetoric ◽  
Policy Area ◽  
Time Series Regression ◽  
Public Response ◽  
The Public ◽  
State Of The Union ◽  
The Impact

The theory of presidential influence over public opinion is used to predict the impact of presidential rhetoric on crime over the public’s concern for crime being “the most important problem facing the nation.” It is hypothesized that the more attention presidents give to the policy area of crime in the their State of the Union Addresses, the more concerned the public becomes with crime. Utilizing a time-series regression analysis of data collected from a content analysis of presidents’ State of the Union addresses on the Gallup Poll’s Most Important Problem series from 1946 to 1996, the analysis demonstrates that presidential mention of crime seems to elicit a public response, thus influencing public opinion of crime with a decay effect of approximately 1 year.

The Influence of a Merit Pay Guide Chart on Employee Attitudes toward Pay at a Transit Authority

1996 ◽  
Vol 25 (1) ◽  
pp. 103-117 ◽  
Author(s):  
K. Dow Scott ◽  
Steven E. Markham ◽  
Michael J. Vest
Keyword(s):  
Regression Analysis ◽  
Merit Pay ◽  
Employee Attitudes ◽  
Performance Ratings ◽  
Future Research ◽  
Pay Satisfaction ◽  
The Public ◽  
And Performance ◽  
The Impact ◽  
The Relationship

The influence of the merit pay guide chart on managerial, professional, technical, and clerical attitudes toward pay is examined in a large transit authority. Although findings indicate that both instrumentality and merit pay satisfaction are influenced by a merit pay guide chart (i.e. position in range and performance ratings) and the size merit increases, the relationship are not necessarily in the predicted direction. Regression analysis indicated that the impact of guide chart ratings on merit pay satisfaction is considerably more than on instrumentality belief. Employees who received merit increases larger than suggested by the guide chart are more satisfied with their merit pay increase than those who receive what is specified or less than what is specified. Implications for future research and compensation practices in the public sector are discussed.

scholarly journals SENSITIVITY ANALYSIS OF AQUACROP EVAPOTRANSPIRATION TO WEATHER STATION DISTANCE

AGROFOR ◽  
2016 ◽  
Vol 1 (3) ◽  
Author(s):  
Claire SIMONIS ◽  
Bernard TYCHON ◽  
Françoise GELLENSMEULENBERGHS
Keyword(s):  
Sensitivity Analysis ◽  
Water Availability ◽  
Weather Conditions ◽  
Actual Evapotranspiration ◽  
Weather Data ◽  
Grass Cover ◽  
Weather Station ◽  
Grid Data ◽  
The Impact ◽  
Wheat Plot

Water balance calculation is essential for reliable agricultural management, and theactual evapotranspiration (ET) is the most complicated balance term to estimate. Inagriculture, the most common method used is based on Penman-Monteith referenceevaporation is determined from weather conditions for an unstressed grass cover,further multiplied by crop specific and soil water availability coefficients to obtainthe actual evapotranspiration. This approach is also used in the AquaCrop model.This model has proven to be accurate when all weather data are locally available.However, in many cases, weather data can’t be collected on the site due to thelimited number of stations and the vast region covered by each of them. Instead,data are often collected at many kilometers from the study site. The question wewant to study is: how does evapotranspiration accuracy evolves with respect toweather station distance? A winter wheat plot in Lonzée (Belgium) was studiedduring the 2014-2015 agricultural seasons. Actual evapotranspiration wassimulated with AquaCrop thanks to the weather data collected at 3 differentdistances from the study site: on the site (data collected by a fluxnet station), 20km, 50 km and 70km from the site. The non-on-site weather data were derivedfrom spatially interpolated 10 km grid data. These results were then compared tothe fluxnet station evapotranspiration measurements to assess the impact of theweather station distance. Substantial differences, which were found between thefour cases, evoking the importance of assimilating satellite derived ET products(e.g. MSG) into AquaCrop.

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