Developing a Commodity Flow Database from Transearch Data

2003 ◽  
Vol 1855 (1) ◽  
pp. 14-21 ◽  
Author(s):  
Dike N. Ahanotu ◽  
Michael J. Fischer ◽  
Hugh W. Louch
Keyword(s):  
Geographic Area ◽  
Data Sources ◽  
State Agencies ◽  
Distribution Centers ◽  
Commodity Flow ◽  
Additional Information ◽  
Goods Movement ◽  
Portland Metropolitan Area ◽  
Area Of Concern ◽  
Data Elements

A procedure is described for analyzing Reebie Transearch data to create a commodity flow database that is useful for transportation planning purposes. Several elements of the procedure were recently applied as part of the development of a commodity flow database for the Portland metropolitan area. The procedure begins with an overview of the robustness of various Transearch data elements. For less robust data elements, specific processes are described to improve on the Transearch data. This process generally includes acquiring additional data from federal and state agencies, acquiring additional information from primary industry sources, and applying these data to the geographic area of concern for the commodity flow database. A methodology for estimating the commodity distribution for goods movement that originates in warehouses and distribution centers is also described. Supplemental freight data sources are identified, and elements of these data sources that can be used to verify and refine the Transearch data are highlighted. In the case of discrepancies between the Transearch data and other freight data sources, a process is described to determine potential sources of the discrepancy and further improve on the Transearch data toward the creation of a full commodity flow database.

Highway Freight Flow Assignment in Massachusetts Using Geographic Information Systems

1998 ◽  
Vol 1625 (1) ◽  
pp. 156-164 ◽  
Author(s):  
Venkatesh Krishnan ◽  
Kathleen L. Hancock
Keyword(s):  
Urban Areas ◽  
Economic Indicator ◽  
Data Sources ◽  
Flow Data ◽  
Indicator Variable ◽  
Commodity Flow ◽  
Goods Movement ◽  
Flow Assignment ◽  
Freight Flow ◽  
Quantitative Procedure

Goods movement is an important aspect of the transportation system. Freight flow, complemented with the much-researched passenger movement, provides a way for understanding the complete vehicle flow scenario on the highways. Commodity movement prediction has not received much attention because of the lack of sufficient and easily accessible data sources. Most data sources give aggregated commodity movements and, because of the heterogeneity of freight, accurate predictions of truck flows have not been possible. A methodology for calculating the truck flows on the various highways in Massachusetts from interstate commodity flow data is presented. Freight tons originating and ending in Massachusetts have been converted to truck numbers by using a quantitative procedure and distributed to different areas in the state by using employment as an economic indicator variable. The truck flow is assigned to the important highways and validated against existing survey counts. On comparison, a large percentage of the roads show the estimated truck counts are within a tolerable error margin. The research also shows that statewide analyses need to be refined near urban areas because of a variety of complexities involved.

Assessing Data Sources for Medicine Price Studies

2019 ◽  
Vol 35 (2) ◽  
pp. 106-115 ◽  
Author(s):  
Sabine Vogler ◽  
Peter Schneider
Keyword(s):  
Case Studies ◽  
Geographic Area ◽  
Practical Experience ◽  
Data Sources ◽  
Medicine Price ◽  
Additional Information ◽  
Price Data ◽  
Draft Version ◽  
Price Comparisons ◽  
Selection Of

AbstractObjectivesThere is no established methodology to assess the feasibility of medicine price data sources. Against this backdrop, a framework to guide the selection of most appropriate price data sources for pharmacoeconomic research has been developed.MethodsA targeted literature review was carried out. Dimensions discussed in literature as relevant for medicine price comparisons and practical experience of the authors in medicine price studies informed the conceptional work of the framework development. A draft version of the framework was reviewed by peer pricing experts. The feasibility of the framework was tested in case studies.ResultsAccording to the developed framework (called Re-ADAPT), a medicine price data source should meet the following criteria: reliability and sustainability; accessibility at a cost that users can afford; provision of medicine price information at the date(s) required; information for the defined geographic area, or at least in a representative way; coverage of the pharmaceuticals and at the price type(s) required. Easy handling and provision of additional information were defined as supportive assets of candidate data sources (secondary criteria). The case studies confirmed the feasibility of the Re-ADAPT framework. In some cases, however, it can be difficult to disentangle assessment criteria (particularly geographic area, scope of pharmaceuticals and price types) for separate consideration, given their interlinkage.ConclusionsWhile selection of the most appropriate data sources will remain a challenge, the Re-ADAPT framework aims to provide practical guidance and thus contribute to a more careful, balanced, and evidence-based selection of data sources for medicine price studies.

scholarly journals The development and creation of the Atlas of the Perm territory for educational purposes

2020 ◽  
Vol 26 (1) ◽  
pp. 471-488
Author(s):  
Natalya Bazhukova ◽  
Ekaterina Afonina
Keyword(s):  
Research University ◽  
Physical Map ◽  
Geological Structure ◽  
Physical Geography ◽  
State Agencies ◽  
Social Infrastructure ◽  
Additional Information ◽  
Natural Processes ◽  
Organizational Issues ◽  
Perm State National Research

The designed program of integrated geographical atlas of the Perm Territory for educational purposes has been developed for universities. It is a handbook where the aims and objectives, spheres of application, structure and content, organizational issues are defined. According to the given program the atlas “Geography of the Perm Territory” has been created by the professors and students of the Department of Cartography and Geoinformatics of Perm State National Research University (PSNRU). The inner unity of the atlas as a system is provided by the unified projection, a set of scales, unified principles of cartographic generalization, consensual system of legend and a unified design. The modern techniques and methods of geoinformation mapping were applied while creating the atlas. The designed atlas has 108 maps, made in ArcGIS10.4.1. The introduction of the atlas includes geoinfographics about geographical position of the region, satellite images, and up-to-date maps administrative and territorial division and a physical map. In the first chapter of the atlas “Physical Geography” the natural conditions of the region are characterized by a series of 72 theme maps. This chapter contains nine sub-sections: Geological structure; Relief; Climate; Surface water; Soil; Vegetation; Wildlife; Landscapes; Adverse natural processes and phenomena. In the second chapter of the atlas “Social-economic geography” the social and economic conditions of the Perm Territory are characterized by a series of 36 theme maps. This chapter contains three sub-sections: Population; Social infrastructure; Economy. The maps in the atlas are followed by additional information, designed by the modern methods of geoinfographics and infographics. All maps in the atlas are harmonized and are complimentary to each other. The complexity of the atlas is defined by the circle of its users: the professors and teachers of high and secondary schools, students and pupils, specialists in geography and connected sciences, state agencies and all people who are interested in geography and local studies.

Formation of High-Quality Solutions In The Construction of Aeromonitoring Data Banks

2021 ◽  
Author(s):  
Hlib Nekrasov ◽  
Alexander Vostrikov ◽  
Ekaterina Prokofeva ◽  
Nashon Adero
Keyword(s):  
Spatial Data ◽  
Carbon Dioxide Emissions ◽  
Geographic Area ◽  
Subject Area ◽  
Web Gis ◽  
Stable Operation ◽  
Additional Information ◽  
Methods Of Evaluation ◽  
Processing And Storage ◽  
The Impact

Abstract Background: This article discusses the approach to the implementation of the project for the extraction and the methodology of preliminary processing of the obtained data with the aim of centralized accumulation for collective multipurpose use of the databank on the example of carbon dioxide emissions into the atmosphere by air transport for a given territory. It should be noted that on the basis of morphological analysis, processing, as well as the classification of spatial objects of the geodatabase and additional information, it is subsequently possible to organize, for example, a system of geoecological monitoring.Methods: At the fundamental level, the research used integration and process-based approaches, the method of extrapolation, expert methods of evaluation, random selection and analytical comparisons, a set of methods of spatial analysis based on various instruments and sources. In this study are used of open standards OGC, web, GIS technologies and the Internet for the formation, processing and storage of spatial data, their unambiguous geolocation, the implementation of territorial selections and visualization of results.Results: The set of data, which was organized according to the proposed and defined rules, made it possible to assess the structural processing of geospatial data, and to prepare a visual representation of the impact of aviation on the environmental situation over the designated geographic area.Conclusions: The transport industry was chosen as the object of research, but this solution can also be successfully applied to other logistics and industrial areas. During the implementation of the project, the analysis of the subject area was carried out, the architecture of the future prototype of the databank was designed, the accumulated data from the sources was structured, and a database was selected for storing them, taking into account the provision of high availability and ensuring stable operation under high loads. For the convenience of displaying data, an interactive visualization tool with a convenient and friendly user interface has been developed.

Network Data Characteristics

2011 ◽  
pp. 104-122
Author(s):  
Yu Wang
Keyword(s):  
Real World ◽  
Random Variables ◽  
Network Data ◽  
Traffic Data ◽  
Real World Data ◽  
Additional Information ◽  
Data Points ◽  
Key Features ◽  
Basic Concepts ◽  
Data Elements

Data represents the natural phenomena of our real world. Data is constructed by rows and columns; usually rows represent the observations and columns represent the variables. Observations, also called subjects, records, or data points, represent a phenomenon in the real world and variables, as also known as data elements or data fields, represent the characteristics of observations in data. Variables take different values for different observations, which can make observations independent of each other. Figure 4.1 illustrates a section of TCP/IP traffic data, in which the rows are individual network traffics, and the columns, separated by a space, are characteristics of the traffics. In this example, the first column is a session index of each connection and the second column is the date when the connection occurred. In this chapter, we will discuss some fundamental key features of variables and network data. We will present detailed discussions on variable characteristics and distributions in Sections Random Variables and Variables Distributions, and describe network data modules in Section Network Data Modules. The material covered in this chapter will help readers who do not have a solid background in this area gain an understanding of the basic concepts of variables and data. Additional information can be found from Introduction to the Practice of Statistics by Moore and McCabe (1998).

Data capture for injury prevention

2020 ◽  
Vol 26 (4) ◽  
pp. 391-394 ◽  
Author(s):  
Yvette Holder
Keyword(s):  
Missing Data ◽  
Data Collection ◽  
Data Capture ◽  
Data Sources ◽  
Surveillance Systems ◽  
New Developments ◽  
Coding Systems ◽  
Wide Range ◽  
Data Elements

More than a half-century of developments have expanded the demand for data for the prevention of injuries. This article follows the progress as data collection becomes more comprehensive, encompassing all types of injuries, in a wide range of economic and cultural environments. It describes the challenges of new developments and the responses to deal with them, challenges of poor coordination of data sources, sector ownership, non-uniformity and missing data elements that are critical for prevention. The tools and approaches that may be employed are outlined, from observatories to surveillance systems, from standardised injury coding systems such as the International Classification of External Cause of Injuries to manuals and guidelines for collecting injury data through surveillance and surveys. More and better data encourages greater utilisation which in turn identifies new issues to be addressed, a most exciting situation for any injury practitioner.

scholarly journals SEMANTICALLY INTEROPERABLE XML DATA

2013 ◽  
Vol 07 (03) ◽  
pp. 237-255 ◽  
Author(s):  
CRISTOBAL VERGARA-NIEDERMAYR ◽  
FUSHENG WANG ◽  
TONY PAN ◽  
TAHSIN KURC ◽  
JOEL SALTZ
Keyword(s):  
Information Exchange ◽  
Medical Image ◽  
Xml Schema ◽  
Data Sources ◽  
Grid Infrastructure ◽  
Common Data Elements ◽  
Xml Data ◽  
Web Based ◽  
Semantic Annotations ◽  
Data Elements

XML is ubiquitously used as an information exchange platform for web-based applications in healthcare, life sciences, and many other domains. Proliferating XML data are now managed through latest native XML database technologies. XML data sources conforming to common XML schemas could be shared and integrated with syntactic interoperability. Semantic interoperability can be achieved through semantic annotations of data models using common data elements linked to concepts from ontologies. In this paper, we present a framework and software system to support the development of semantic interoperable XML based data sources that can be shared through a Grid infrastructure. We also present our work on supporting semantic validated XML data through semantic annotations for XML Schema, semantic validation and semantic authoring of XML data. We demonstrate the use of the system for a biomedical database of medical image annotations and markups.

scholarly journals The Establishment and Refinement of the National Basketball Association Player Injury and Illness Database

2019 ◽  
Vol 54 (5) ◽  
pp. 466-471 ◽  
Author(s):  
Christina D. Mack ◽  
Peter Meisel ◽  
Mackenzie M. Herzog ◽  
Lisa Callahan ◽  
Eva E. Oakkar ◽  
...  
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Health And Safety ◽  
Electronic Medical Record System ◽  
National Basketball Association ◽  
Data Sources ◽  
Record System ◽  
Additional Information ◽  
External Data ◽  
Data Linkages

The National Basketball Association (NBA; also referred to as “the league”) has established a centralized, audited electronic medical record system that has been linked with external sources to provide a platform for robust research and to allow the NBA to conduct player health and safety reviews. The system is customized and maintained by the NBA and individual teams as part of the employment records for each player and is deployed uniformly across all 30 teams in the league, thereby allowing for standardized data on injuries, illnesses, and player participation in NBA games and practices. The electronic medical record data are enriched by linkage with other league external data sources that provide additional information about injuries, players, game and practice participation, and movement. These data linkages allow for the assessment of potential injury trends, development of injury-prevention programs, and rule changes, with the ultimate goal of improving player health and wellness. The purpose of this article is to describe this NBA injury database, including the details of data collection, data linkages with external data sources, and activities related to reporter training and data quality improvement.

Siltstone: a key to cyclicity in mixed siliciclastic–carbonate successions: example from Upper Ordovician Kope Formation (Ohio, Indiana, Kentucky)

2016 ◽  
Vol 53 (8) ◽  
pp. 823-835
Author(s):  
Nathan Marshall ◽  
Carlton E. Brett
Keyword(s):  
Geographic Area ◽  
X Ray Diffraction ◽  
Upper Ordovician ◽  
Fine Grained ◽  
Additional Information ◽  
Elemental Analyses ◽  
Large Geographic Area ◽  
Carbonate Cyclicity ◽  
Kope Formation ◽  
Fossiliferous Limestone

The Upper Ordovician (mid-Katian) Kope Formation provides an example of how a detailed study of fine-grained siliciclastic sediment can provide sedimentological insights. The Kope Formation is an exemplar of mixed siliciclastic–carbonate cyclicity; however, most of the sedimentological research to date has focused on the fossiliferous limestone beds. Conversely, this paper provides a detailed investigation of siltstone within 42 metre-scale cycles from 26 locations spanning a large geographic area. The objective of the study is twofold: (i) to confirm the mineralogical nature of silt-sized sediment. Currently, silt-sized sediment is irregularly defined as being either carbonate or siliciclastic rich. This paper uses X-ray diffraction, thin-section, and elemental analyses to determine the mineralogy of the silt; (ii) to determine the stratigraphic distribution of siltstone beds. If a distinctive and reoccurring distribution of siltstone can be found, then it can provide additional information about environmental energy changes that led to cyclic fossiliferous limestone formation. This study finds that silt within the Kope Formation is siliciclastic and siltstone, therefore, records periodic minor pulses of coarser terrigenous sediment. Predominantly, metre-scale limestone–shale cycles show an increasing abundance of siltstone beds in the upper half of the shale interval, with a marked decrease just before the capping limestone. This finding supports the idea that limestone formation occurred during slowing sedimentation, perhaps at a time of maximum sea-level rise. Furthermore, decametre-scale fluctuations in siltstone abundance are similar in pattern to previously documented faunal variations, indicating that fauna assemblage might be more controlled by turbidity and not depth.

scholarly journals Citations and Circulation Counts: Data Sources for Monograph Deselection in Research Library Collections

2017 ◽  
Vol 78 (1) ◽  
Author(s):  
Bruce White
Keyword(s):  
Data Sources ◽  
Research Library ◽  
Data Driven ◽  
Reliable Indicator ◽  
Large Numbers ◽  
Data Elements ◽  
Highly Cited ◽  
Library Collections

Studies of data-driven deselection overwhelmingly emphasise the importance of circulation counts and date-of-last-use in the weeding process. When applied to research collections, however, this approach fails to take account of highly influential and significant titles that have not been of interest to large numbers of borrowers but that have been highly cited in the literature. It also assumes that past borrowing activity is a reliable indicator of future usage. This study examines the correlations between past and future usage and between borrowing and citation of monographs and concludes that both data elements should be used when deselecting research monographs.

Sign in / Sign up

Export Citation Format

Share Document