1,720,985 research outputs found
Analysing the Degree of Mode Captivity in Multi-modal travel Behaviour Using Stated Preference Data
No full textVarious mode choice models have been developed in the past, using the SP data, in order to forecast the mode shares under the hypothetical travel environment. However, little has been done to simultaneously analyse the influence of mode captive users, in order to determine their relative influence on the forecasted modal split for the study area. This paper presents a framework developed to analyse the degree of mode captivity in a multi-modal travel behaviour of the survey respondents, and to determine the influence of these users on the forecasted mode shares.\ud
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Computer-based stated preference (SP) surveys were conducted in Southern Redland Shire, Queensland, presenting the respondents with eight randomly generated SP mode choice games. Based on these responses, an individual was determined to be a mode captive or mode choice user. The set of mode captive users was further split into car captive and PT captive users. \ud
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Out of the 2007 respondents surveyed, approximately 60% were determined to be car captive users; i.e. not perceiving to switch to any travelling alternative of car, shown to them in the SP survey. Nested logit models were then estimated, using the mode choice data only, for four trip purposes of work, shopping, education and other trips. The trip purposes were further categorised on the basis of two trip lengths, regional and local trips, resulting in the estimation of eight unique mode choice models to forecast the mode shares of the targeted population. The model specification developed for the mode choice module comprised of the hypothetical travelling alternatives to car, namely bus on busway, walk on walkway and cycle to cycleway. The bus on busway mode further associated a set of five transit access modes of feeder bus, walking and cycling to busway, park and ride, and kiss and ride.\ud
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For analysing the degree of car captivity in the travel behaviour of the region, multinomial logistic regression equations were developed, based on the three socio-demographic characteristics of household size, number of vehicles per household and age-group of the individuals, along with the level-of-service parameter of trip length. Logistic regression runs were conducted for each trip purpose to determine the significant parameters influencing the three possible outcomes of an individual; being a mode choice, car captive or PT captive user. \ud
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The analysis showed that the attribute of number of vehicles per household served as the driving determinant for the traveller type outcome of an individual for each trip purpose. With a unit increase in the number of vehicles in the household, the likelihood of the traveller being a mode choice or PT captive user was found to reduce substantially for each trip purpose. Various probability functions were also tested with varying values of parameters, in order to observe the possible changes in the outcomes of traveller type
Analysing the degree of mode captivity in a multi-modal travel behaviour using stated preference data
No full textVarious mode choice models have been developed in the past, using the SP data, in order to forecast the mode shares under the hypothetical travel environment. However, little has been done to simultaneously analyse the influence of mode captive users, in order to determine their relative influence on the forecasted modal split for the study area. This paper presents a framework developed to analyse the degree of mode captivity in a multi-modal travel behaviour of the survey respondents, and to determine the influence of these users on the forecasted mode shares. Computer-based stated preference (SP) surveys were conducted in Southern Redland Shire, Queensland, presenting the respondents with eight randomly generated SP mode choice games. Based on these responses, an individual was determined to be a mode captive or mode choice user. The set of mode captive users was further split into car captive and PT captive users. Out of the 2007 respondents surveyed, approximately 60% were determined to be car captive users; i.e. not perceiving to switch to any travelling alternative of car, shown to them in the SP survey. Nested logit models were then estimated, using the mode choice data only, for four trip purposes of work, shopping, education and other trips. The trip purposes were further categorised on the basis of two trip lengths, regional and local trips, resulting in the estimation of eight unique mode choice models to forecast the mode shares of the targeted population. The model specification developed for the mode choice module comprised of the hypothetical travelling alternatives to car, namely bus on busway, walk on walkway and cycle to cycleway. The bus on busway mode further associated a set of five transit access modes of feeder bus, walking and cycling to busway, park and ride, and kiss and ride. For analysing the degree of car captivity in the travel behaviour of the region, multinomial logistic regression equations were developed, based on the three socio-demographic characteristics of household size, number of vehicles per household and age-group of the individuals, along with the level-of-service parameter of trip length. Logistic regression runs were conducted for each trip purpose to determine the significant parameters influencing the three possible outcomes of an individual; being a mode choice, car captive or PT captive user. The analysis showed that the attribute of number of vehicles per household served as the driving determinant for the traveller type outcome of an individual for each trip purpose. With a unit increase in the number of vehicles in the household, the likelihood of the traveller being a mode choice or PT captive user was found to reduce substantially for each trip purpose. Various probability functions were also tested with varying values of parameters, in order to observe the possible changes in the outcomes of traveller type
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
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
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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