Understanding the Utilization Characteristics of Bicycle-Sharing Systems in Underdeveloped Cities: A Case Study in Xuchang City, China

2017 ◽  
Vol 2634 (1) ◽  
pp. 78-85 ◽  
Author(s):  
Yang Yang ◽  
Tiezhu Li ◽  
Tao Zhang ◽  
Wanyu Yang
Keyword(s):  
Massive Data ◽  
Data Set ◽  
Massive Data Set ◽  
Smart Card Data ◽  
Intercept Survey ◽  
Degree Of Satisfaction ◽  
Bicycle Sharing System ◽  
Survey Questionnaires

In recent years, a growing number of cities in China have successively rolled out bicycle-sharing systems to facilitate bicycle use, including not only metropolises but also some underdeveloped cities with populations of less than 1 million. One of those underdeveloped cities, Xuchang, launched its bicycle-sharing system in 2014. This service provides a convenient way for members to cycle for some of their short trips. Interest in the bicycle-sharing systems of metropolises is growing rapidly; however, studies on underdeveloped cities are still limited. This study investigated the factors influencing the adoption of a bicycle-sharing system in Xuchang, by analyzing massive smart card data from July 2014 to mid-April 2015 and 500 intercept survey questionnaires in April 2015. Different questions were ready for members and nonmembers in the questionnaires and the statistical results show the characteristics of users of the Xuchang bicycle-sharing system, including demographic characteristics, travel habits, and degree of satisfaction. Moreover, the space–time distribution characteristics of the Xuchang bicycle-sharing system were analyzed by dividing a massive data set into three groups: weekdays, weekends, and holidays. Results showed that compared with the clearly defined role of “resolve the last-kilometer problem” in a metropolis, bicycle-sharing in underdeveloped cities acts as an alternative way of transportation rather than a transfer traffic mode. Results also showed that bicycle-sharing systems gained more popularity in underdeveloped cities than in metropolises because of the smaller extent of egression, resident travel habits, the traffic environment, and so on.

Vocational Development in Emerging Adulthood

2018 ◽  
Author(s):  
Michael W. Pratt ◽  
M. Kyle Matsuba
Keyword(s):  
Turning Point ◽  
Life Stories ◽  
Life Story ◽  
Emerging Adult ◽  
Vocational Development ◽  
Data Set ◽  
The World ◽  
Key Concepts

Chapter 6 reviews research on the topic of vocational/occupational development in relation to the McAdams and Pals tripartite personality framework of traits, goals, and life stories. Distinctions between types of motivations for the work role (as a job, career, or calling) are particularly highlighted. The authors then turn to research from the Futures Study on work motivations and their links to personality traits, identity, generativity, and the life story, drawing on analyses and quotes from the data set. To illustrate the key concepts from this vocation chapter, the authors end with a case study on Charles Darwin’s pivotal turning point, his round-the-world voyage as naturalist for the HMS Beagle. Darwin was an emerging adult in his 20s at the time, and we highlight the role of this journey as a turning point in his adult vocational development.

scholarly journals The promiscuous and highly mobile resistome of a superbug

2021 ◽  
Author(s):  
Ismael Hernández-González ◽  
Valeria Mateo-Estrada ◽  
Santiago Castillo-Ramírez
Keyword(s):  
Population Dynamics ◽  
Gene Content ◽  
Massive Data ◽  
Nosocomial Pathogen ◽  
Data Set ◽  
Massive Data Set ◽  
The Individual ◽  
Global Threat ◽  
And Control ◽  
Global Population

AbstractAntimicrobial resistance (AR) is a major global threat to public health. Understanding the population dynamics of AR is critical to restrain and control this issue. However, no study has provided a global picture of the resistome of Acinetobacter baumannii, a very important nosocomial pathogen. Here we analyze 1450+ genomes (covering > 40 countries and > 4 decades) to infer the global population dynamics of the resistome of this species. We show that gene flow and horizontal transfer have driven the dissemination of AR genes in A. baumannii. We found considerable variation in AR gene content across lineages. Although the individual AR gene histories have been affected by recombination, the AR gene content has been shaped by the phylogeny. Furthermore, many AR genes have been transferred to other well-known pathogens, such as Pseudomonas aeruginosa or Klebsiella pneumoniae. Finally, despite using this massive data set, we were not able to sample the whole diversity of AR genes, which suggests that this species has an open resistome. Ours results highlight the high mobilization risk of AR genes between important pathogens. On a broader perspective, this study gives a framework for an emerging perspective (resistome-centric) on the genome epidemiology (and surveillance) of bacterial pathogens.

scholarly journals The Role of Hydrodynamic Processes on Anchovy Eggs and Larvae Distribution in the Sicily Channel (Mediterranean Sea): A Case Study for the 2004 Data Set

PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0123213 ◽  
Author(s):  
Federico Falcini ◽  
Luigi Palatella ◽  
Angela Cuttitta ◽  
Bruno Buongiorno Nardelli ◽  
Guglielmo Lacorata ◽  
...  
Keyword(s):  
Mediterranean Sea ◽  
Data Set ◽  
Hydrodynamic Processes ◽  
Sicily Channel ◽  
Eggs And Larvae

scholarly journals Similarity of TIMSS Math and Science Achievement of Nations

2001 ◽  
Vol 9 ◽  
pp. 33 ◽  
Author(s):  
Algirdas Zabulionis
Keyword(s):  
Science Achievement ◽  
Educational Achievement ◽  
International Association ◽  
Massive Data ◽  
Science Study ◽  
Data Set ◽  
Test Items ◽  
Massive Data Set ◽  
Math And Science ◽  
Mathematics And Science

In 1991-97, the International Association for the Evaluation of Educational Achievement (IEA) undertook a Third International Mathematics and Science Study (TIMSS) in which data about the mathematics and science achievement of the thirteen year-old students in more than 40 countries were collected. These data provided the opportunity to search for patterns of students' answers to the test items: which group of items was relatively more difficult (or more easy) for the students from a particular country (or group of countries). Using this massive data set an attempt was made to measure the similarities among country profiles of how students responded to the test items.

What Drives Unequal Policy Responsiveness? Assessing the Role of Informational Asymmetries in Economic Policy-Making

2020 ◽  
Vol 53 (14) ◽  
pp. 2213-2245
Author(s):  
Mads Andreas Elkjær
Keyword(s):  
Economic Policy ◽  
Policy Making ◽  
Political Representation ◽  
Macroeconomic Policies ◽  
Data Set ◽  
State Of The Economy ◽  
Economic Elites ◽  
Underlying Mechanisms

Recent scholarship on inequality and political representation argues that economic elites are dominating democratic policy-making, yet it struggles to explain the underlying mechanisms. This article proposes that unequal responsiveness reflects asymmetries in information about fiscal policy across income classes, as opposed to being a structural bias inherent in capitalist democracy. I test the argument in a pathway case study of economic policy-making in Denmark, using a new data set that combines preference and spending data spanning 18 spending domains between 1985 and 2017. I find that governments that pursue standard macroeconomic policies coincidentally respond more strongly to the preferences of the affluent, owing to a closer adjustment of preferences to the state of the economy among citizens in upper income groups. These findings have important democratic and theoretical implications, as they suggest that unequal responsiveness may not reflect substantive misrepresentation of majority interests, but rather differences in information levels across groups.

Prophecy, eclipses and whole-sale markets: A case study on why data driven economic history requires history of economics, a philosopher’s reflection

2009 ◽  
Vol 50 (1) ◽  
Author(s):  
Eric Schliesser
Keyword(s):  
Economic History ◽  
Final Section ◽  
Data Set ◽  
History Of Economics ◽  
Successful Attempt ◽  
Economic Experience ◽  
History Of ◽  
Important Evidence

AbstractIn this essay, I use a general argument about the evidential role of data in ongoing inquiry to show that it is fruitful for economic historians and historians of economics to collaborate more frequently. The shared aim of this collaboration should be to learn from past economic experience in order to improve the cutting edge of economic theory. Along the way, I attack a too rigorous distinction between the history of economics and economic history. By drawing on the history of physics, I argue that the history of a discipline can be a source of important evidence in ongoing inquiry. My argument relies on the claim that it is a constitutive element of science that evidence is never discarded forever and is thus historical in nature. In the final section, I offer a case study by explaining a research proposal that turns on a long-running data-set Babylonian whole-sale prices of six commodities noted in pre-Hellenistic and Hellenistic times. To motivate my reading of this data-set, I critically discuss Aristotle′s successful attempt to distinguish between astrology and political economy.

Research on MapReduce-Based Rocchio Relevance Feedback in Massive Information Filtering

2014 ◽  
Vol 962-965 ◽  
pp. 2712-2715
Author(s):  
Wen Chuan Yang ◽  
Zhi Dong Shang ◽  
Zhi Cheng Zhang
Keyword(s):  
Relevance Feedback ◽  
Information Filtering ◽  
Classification Algorithms ◽  
Massive Data ◽  
Data Set ◽  
Massive Data Set ◽  
Hadoop Cluster ◽  
Feedback Algorithm ◽  
Massive Information ◽  
Mapreduce Paradigm

Traditional text classification algorithms have vital impact on information filtering. However, their performances were confined to a large extent in terms of the massive data set. This paper proposes an approach using MapReduce-based Rocchio relevance feedback algorithm, which improved the traditional Rocchio algorithm in the MapReduce paradigm, to resolve the problem of massive information filtering. The experiments on Hadoop cluster showed an effective improvement in performance by using the new method.

scholarly journals Revealing Motives for Car Use in Modern Cities—A Case Study from Berlin and San Francisco

2020 ◽  
Vol 12 (13) ◽  
pp. 5254
Author(s):  
Sascha von Behren ◽  
Lisa Bönisch ◽  
Ulrich Niklas ◽  
Bastian Chlond
Keyword(s):  
San Francisco ◽  
Public Transit ◽  
Choice Model ◽  
Decision Making Process ◽  
Data Set ◽  
Car Use ◽  
Modern Cities ◽  
Alternative Means

Car use in modern cities with a well-developed public transit is more sophisticated to explain only through hard factors such as sociodemographic characteristics. In cities, it is especially important to consider motives for car use. Therefore, we examined two modern cities with a high modal share of non-motorized modes and public transit to answer the question: How do the affective and instrumental motives influence car use in such cities? The used data set was collected in Berlin and San Francisco. To investigate the role of motives, we applied an ordered hybrid choice model (OHCM) with a probit kernel. Based on the OHCM we explained more than 14% of the overall heterogeneity and gave further insights to the decision-making process. The affective motive had a strong influence on car use frequency, whereby the instrumental aspects did not matter. Furthermore, an effect resulting from age could not be determined for the affective motives in these cities. Results suggest people are more likely to use cars for affective motives despite the city’s adversities. For these people it is difficult to achieve a shift to alternative means of transport. The only way to intervene here is through regulatory intervention.

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