Cost Overruns in U.S. Rail Transit Projects: A Statistical Analysis

2020 ◽  
Author(s):  
Nan Gao ◽  
Ali Touran
Keyword(s):  
Statistical Analysis ◽  
Rail Transit ◽  
Cost Overruns

scholarly journals From “Big Small Town” to “Small Big City”: Resident Experiences of Gentrification along Waterloo Region’s LRT Corridor

2021 ◽  
pp. 0739456X2199391
Author(s):  
Margaret Ellis-Young ◽  
Brian Doucet
Keyword(s):  
Statistical Analysis ◽  
Strong Evidence ◽  
Small Town ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Big City ◽  
Waterloo Region

Most studies of transit-induced gentrification rely on statistical analysis that measures the extent to which gentrification is occurring. To extend and enhance our knowledge of its impact, we conducted sixty-five interviews with residents living along the light rail transit (LRT) corridor in Waterloo Region, Ontario, Canada, shortly before the system opened. There was already strong evidence of gentrification, with more than $3 billion (Canadian dollars) worth of investment, largely in condominiums, before a single passenger was carried. In line with contemporary critical conceptualizations of gentrification, our interviews identified new and complex psychological, phenomenological, and experiential aspects of gentrification, in addition to economic- or class-based changes.

Safety Statistical Analysis Based on Urban Rail Transit Operation

2013 ◽  
Vol 448-453 ◽  
pp. 4167-4172
Author(s):  
Yan Hui Wang ◽  
Jun Jin ◽  
Ling Xi Zhu ◽  
Yong Qin ◽  
Ping Li
Keyword(s):  
Statistical Analysis ◽  
Traffic Control ◽  
Road Network ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Prevention Measures ◽  
Transit System ◽  
The Road ◽  
Passenger Traffic ◽  
Urban Rail

Aiming at the characteristics of the safety of urban rail transit system operation, this paper adopts the comprehensive analysis and statistical chart included by the statistical analysis to process the data, which is based on the relevant data in accordance with Beijing Rail Traffic Control Center Statistics in 2012 and indicators of the station, line and road network, in addition, the trend and the indicator between horizontal and longitudinal contrast are also analyzed about stations, lines and the road network . The results can conclude the potential security risks information, such as, the maximum early peak average daily transfer of Xizhimen station, the maximum passenger traffic of Line1 ,the maximum passenger traffic of the road network up to July and August, and the largest proportion of signal failure. Finally, the laws can be find out, and the specific prevention measures can be put forward for the management, which has a certain significance for the reduction of accidents, and can give some theoretical guidance to urban rail transit operations managers.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

Intraindividual Variability in Development Within and Between Individuals

2001 ◽  
Vol 6 (3) ◽  
pp. 187-193 ◽  
Author(s):  
John R. Nesselroade
Keyword(s):  
Statistical Analysis ◽  
Research Design ◽  
Intraindividual Variability ◽  
Factor Analytic

A focus on the study of development and other kinds of changes in the whole individual has been one of the hallmarks of research by Magnusson and his colleagues. A number of different approaches emphasize this individual focus in their respective ways. This presentation focuses on intraindividual variability stemming from Cattell's P-technique factor analytic proposals, making several refinements to make it more tractable from a research design standpoint and more appropriate from a statistical analysis perspective. The associated methods make it possible to study intraindividual variability both within and between individuals. An empirical example is used to illustrate the procedure.

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