1,721,116 research outputs found
Notes on Greek manuscripts
No full textWilson Nigel G. Notes on Greek manuscripts. In: Scriptorium, Tome 15 n°2, 1961. pp. 316-320
The manuscripts of Theophrastus
No full textWilson Nigel G. The manuscripts of Theophrastus. In: Scriptorium, Tome 16 n°1, 1962. pp. 96-102
A list of Plato manuscripts
No full textWilson Nigel G. A list of Plato manuscripts. In: Scriptorium, Tome 16 n°2, 1962. pp. 386-395
Restes du cartulaire de Hiéra-Xérochoraphion
No full textWilson Nigel, Darrouzès Jean. Restes du cartulaire de Hiéra-Xérochoraphion. In: Revue des études byzantines, tome 26, 1968. pp. 5-47
DOMUS MEA. Comunicazione ed empowerment dei luoghi
No full textE possibile trasformare i luoghi a partire dalla (ri)scoperta della loro unicità? Che cosa è l'unicità del luogo? Qual è il ruolo che la comunicazione può assumere nella costruzione di questo processo? Nasce da queste domande la mappa concettuale D.O.M.U.S. M.E.A., che abbiamo ideato per leggere e interpretare lo strabiliante matrimonio tra i luoghi e chi li abita, per guardare oltre le apparenze e cercare di cogliere l'anima dei luoghi, la loro autentica essenza. D.O.M.U.S. M.E.A. è tante cose: una parola latina (la mia casa/my home), l'acronimo che ha guidato la raccolta e l'analisi dei dati della ricerca, e soprattutto è uno strumento utile non tanto per consegnarci risposte, quanto per interrogarci sui luoghi e su come possono innovarsi
Unified estimator for excess journey time under heterogeneous passenger incidence behavior using smartcard data
No full textExcess journey time (EJT), the difference between actual passenger journey times and journey times implied by the published timetable, strikes a useful balance between the passenger’s and operator’s perspectives of public transport service quality. Using smartcard data, this paper tried to characterize transit service quality with EJT under heterogeneous incidence behavior (arrival at boarding stations). A rigorous framework was established for analyzing EJT, in particular for reasoning about passenger’ journey time standards as implied by varying incidence behavior. It was found that although the wrong assumption about passenger incidence behavior and journey time standards could result in a biased estimate of EJT for individual passenger journeys, the unified estimator of EJT proposed in this paper is unbiased at the aggregate level regardless of the passenger incidence behavior (random incidence, scheduled incidence, or a mixture of both). A case study based on the London Overground network (with a tap-in-and-tap-out smartcard system) was conducted to demonstrate the applicability of the proposed method. EJT was estimated using the smartcard (Oyster) data at various levels of spatial and temporal aggregation in order to measure and evaluate the service quality. Aggregate EJT was found to vary substantially across the different London Overground lines and across time periods of weekday service
Automatic Data for Applied Railway Management
Get PDFIn 2009, London Overground management implemented a new tactical plan for a.m. and p.m. peak service on the North London Line (NLL). This paper documents that tactical planning intervention and evaluates its outcomes in terms of certain aspects of service delivery (the operator's perspective on system performance) and service quality (the passenger's perspective). Analyses of service delivery and quality and of passenger demand contributed to the development, proposal, and implementation of the new tactical plan. NLL trains were delayed routinely en route, with excessive dwell time a major cause. Near-random passenger incidence behavior suggested that an even headway service for NLL might have been more appropriate. The confluence of these analyses was confirmed by the corresponding excess journey time results. On the basis of longitudinal analysis, an evaluation showed that on-time performance increased substantially and observed journey time decreased with the introduction of the new plan. Overall, the effects of this implementation appeared to have been positive on balance. This case study thus demonstrated the applicability of automatic data generally, and certain measures and techniques in the London Overground specifically, to support the tactical planning of an urban railway.Transport for London (Organization
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
Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems
Get PDFThis research explores the application of archived data from Automated Data Collection Systems (ADCS) to transport planning with a focus on bus passenger travel behavior, including Origin-Destination (OD) inference, using London as a case study. It demonstrates the feasibility and ease of applying trip-chaining to infer bus passenger OD from smart card transactions and Automatic Vehicle Location (AVL) data and is the first known attempt to validate the results by comparing them with manual passenger survey data. With the inferred OD matrices, the variations of weekday and weekend bus route OD patterns are examined for planning purposes. Moreover, based on the inferred OD matrices and the AVL data, alighting times for bus passengers also can be estimated. Bus journey stages, therefore, can easily be linked. By comparing the interchange time and the connecting bus route’s headway, it provides a way to evaluate bus connections
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