1,721,023 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Method and Application of Spatial Probit Model to the Business Return to New Orleans after Hurricane Katrina
No full textThis study employs a theoretical framework from micro-scale retail location studies and implements a spatial autoregressive probit model to account for spatial dependence among firms' decisions and thus identify determinants of business return to New Orleans after Hurricane Katrina. The spatial probit approach allows for interdependence between decisions to reopen by one establishment and those of its neighbors. There is a large literature on the role played by spatial dependence in firm location decisions, and we find evidence of strong dependence in firm's decisions to reopen in the aftermath of a natural disaster such as Katrina. This interdependence has important statistical implications for how we analyze business recovery after disasters, as well as government aid programs. In order to determine the right model specification, a Monte Carlo experiment is conducted to extends information criteria for selecting alternative model specifications in spatial econometric modeling, and provides some insight about performance of different ~odel selection tools for choosing a spatial weight matrix.Geography and Environmental Studie
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Archaeological Predictive Modeling for Black Mesa Ranger District, Apache-Sitgraves National Forest, AZ
No full textNo abstract prepared.Geography and Environmental Studie
Analysis of Association Between Demographic, Socioeconomic, and Built Environment Factors and Pedestrian Safety Using Traditional and AI Approaches
No full textPedestrian safety is a critical concern, particularly in urbanized areas where increasing population densities and heavy reliance on motorized transportation elevate risks for vulnerable road users who travel on foot. Creating safe, walkable environments is not only a public health priority but also vital for sustainable urban development. To better understand pedestrian crash risks, this dissertation explores the relationship between built-environment and socio-economic factors and their influence on crash risks at the Census Block Groups (CBGs) level in Austin, San Antonio, and Dallas. Given the spatial nature of CBGs, the spatial distribution of pedestrian crash risks within urban areas, such as Austin, is also examined to understand how built-environment and socio-economic factors contribute to this variability. Additionally, the study identifies distinct individual-scale pedestrian crash clustering patterns by severity using data from California.
The dissertation is organized around three major studies, each addressing a specific research question: What demographic, socioeconomic, and built environment factors are associated with pedestrian safety? What are the spatial variations in pedestrian crash risks at the census block group level in urban areas? Are individual-level pedestrian crashes spatially clustered? Specifically, the first study investigates the impact of socio-economic, built-environment, transit, and trip characteristics on pedestrian crashes in the Texas cities of Austin, San Antonio, and Dallas. It seeks to identify key factors influencing pedestrian crash risks across CBGs and evaluates the effectiveness of machine learning models, specifically SHapley Additive exPlanations (SHAP), in explaining how these factors affect Equivalent Property Damage Only (EPDO) rates. The findings reveal that auto-oriented network density is consistently associated with higher pedestrian crash risks, while pedestrian-oriented network density and sidewalk coverage generally have negative associations. Transit frequency and socio-economic factors, such as the percentage of zero-car households, also significantly impact pedestrian safety. The study underscores the need for targeted interventions in disadvantaged CBGs with higher levels of zero-car households, more mixed land use, and denser transit networks, but lower percentages of high-wage workers and certain community services.
The second study examines the spatial variability of pedestrian crash risks within urban areas, focusing on Austin using Multiscale Geographically Weighted Regression (MGWR). The analysis reveals that higher percentages of two-plus-car households are associated with lower crash risks, possibly due to reduced pedestrian exposure. Conversely, areas with higher employment rate and household entropy, auto network density, and higher transit frequency exhibit greater crash risks, likely driven by increased interactions between pedestrians and vehicles in more densely populated areas, transit-oriented environments.
The third study identifies patterns in pedestrian crash severity using a clustering framework enhanced by explainable artificial intelligence (AI) techniques. This analysis, based on data from California, uncovers distinct patterns in crash severity by examining factors associated with fatal, injury, and non-injury crashes. It also explores how societal and demographic factors differ in their association with varying levels of crash severity, highlighting the disparities between underserved and more resilient communities. The most impactful factors in fatal crashes include pedestrian sobriety impairment, lighting conditions, and macro-scale traffic fatalities. In less severe crashes, broader societal and demographic influences are more prominent. The dissertation may provide insight for policymakers seeking to improve pedestrian traffic safety.Geography and Environmental Studie
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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