scholarly journals AIM Data Services

2016 ◽  
Vol 2 ◽  
Author(s):  
Lars Schnieder ◽  
Michael Scholz ◽  
Lucas Schubert
Keyword(s):  
Spatial Data ◽  
Public Transport ◽  
Experiment Data ◽  
Data Services ◽  
The Public ◽  
Web Mapping ◽  
Railway Systems ◽  
Vehicle Data ◽  
Database Cluster ◽  
Transport Domain

AIM Data Services as a virtual facility provides virtual 3D reference tracks for simulation applications in the domain of automotive and railway systems. It offers tools for management and analysis of experiment data and a platform for survey and processing of vehicle data in the public transport domain. Collected spatial data is bundled in a database cluster and published through common web mapping interfaces.

scholarly journals A Semi-Automatic Data–Scraping Method for the Public Transport Domain

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 105627-105637 ◽  
Author(s):  
Belen Vela ◽  
Jose Maria Cavero ◽  
Paloma Caceres ◽  
Carlos E. Cuesta
Keyword(s):  
Public Transport ◽  
Automatic Data ◽  
The Public ◽  
Transport Domain

COMBINING THE GRID‐BASED SPATIAL PLANNING AND NETWORK‐BASED TRANSPORT PLANNING

2009 ◽  
Vol 15 (1) ◽  
pp. 60-77 ◽  
Author(s):  
Beno Mesarec ◽  
Marjan Lep
Keyword(s):  
Spatial Data ◽  
Public Transport ◽  
Supply And Demand ◽  
Border Crossing ◽  
Current Status ◽  
The Public ◽  
Transport Services ◽  
Public Transport Services ◽  
Grid Based ◽  
Transport Supply

Border regions of EU countries are confronted with changes of spatial and economical development. The lack of border crossing strategic information system for regional planning purposes reflects in non‐intense cooperation in the field of regional development strategies harmonization. The article presents the methodology developed during Interreg III B project REDECON. Grid‐based database with GIS interface, merging socio‐economic, environmental and spatial data with vector‐based network accessibility data, what enable the public planning departments to analyze and simulate different policy measures concerning transport. The article is focused on the modifications of (during project REDECON) developed methodology, which enable besides cross‐border spatial analysis also analysis of current status of public transport demand and supply for finding the areas, where the supply of public transport services does not reach the demand for public transport services. It describes the methodology for selecting the main indicator thematic groups for different public transport demand types, the characterization (evaluation) of suitability of locations in respect to the balance between public transport supply and demand. At the end of the article the results of methodology application are presented on the regional pilot project concerning accessibility of pilot area, regional public transport demands and regional optimization of the public transport supply. Santrauka Aprašoma Redecon metodika, sukurta vykdant tarptautinio projekto Interreg III B metu. Tinklelinė duomenų bazė, paremta geografinėmis informacinėmis sistemomis, suvienijo socialinius ir ekonominius, aplinkosaugos, erdvinius ir vektorinius pasiekiamumo duomenis. Visa tai leido viešojo transporto planuotojams lengviau analizuoti ir modeliuoti transporta skirtingomis priemonėmis. Straipsnyje aprašomoji sukurtos metodikos modifikacija, padedanti nagrineti transporto sistemos paklausa, parodo, kuriose teritorijose viešojo transporto aprūpinimas nepakankamas ir pan. Pabaigoje svarstoma, kokiam regionui galima pritaikyti šią metodiką, to regiono viešojo transporto paklausą ir optimizavimą.

Unified approach to spatial description of objects terrain departmental registries / cadastres as a perspective basis of the state system territory mapping

2019 ◽  
Vol 942 (12) ◽  
pp. 41-49
Author(s):  
A.M. Portnov
Keyword(s):  
Spatial Data ◽  
Spatial Description ◽  
Unified Approach ◽  
Technological Basis ◽  
The Public ◽  
Wide Range ◽  
The Russian Federation ◽  
Map Data ◽  
Consistency Verification ◽  
Thematic Data

Using unified principles of formation and maintenance of register/cadaster with information about spatial data of landscape objects as the informational and technological basis for updating the public topographic maps and modernization of state cartographic system is proposed. The problems of informational relevancy of unified electronical cartographic basis and capacity of its renovation in case of public cadaster map data. The need to modernize the system of classification and coding of cartographic information, the use of unified standards for the coordinate description of register objects for their topological consistency, verification and updating is emphasized. Implementing such solutions is determined by economical expediency as well as necessity of providing a variety of real thematic data for wide range of consumers in the field of urban planning, territories development and completing the tasks of Governmental program “Digital economy of the Russian Federation”.

scholarly journals Literature Mapper: A QGIS Plugin for Georeferencing Citations in Zotero

2021 ◽  
Vol 14 ◽  
pp. 117862212110092
Author(s):  
Michele M Tobias ◽  
Alex I Mandel
Keyword(s):  
Data Storage ◽  
Spatial Data ◽  
Future Research ◽  
Web Mapping ◽  
Web Map ◽  
Public Sharing ◽  
Academic Publications ◽  
Spatial Coordinates ◽  
Study Sites ◽  
Soil And Water

Many studies in air, soil, and water research involve observations and sampling of a specific location. Knowing where studies have been previously undertaken can be a valuable addition to future research, including understanding the geographical context of previously published literature and selecting future study sites. Here, we introduce Literature Mapper, a Python QGIS plugin that provides a method for creating a spatial bibliography manager as well as a specification for storing spatial data in a bibliography manager. Literature Mapper uses QGIS’ spatial capabilities to allow users to digitize and add location information to a Zotero library, a free and open-source bibliography manager on basemaps or other geographic data of the user’s choice. Literature Mapper enhances the citations in a user’s online Zotero database with geo-locations by storing spatial coordinates as part of traditional citation entries. Literature Mapper receives data from and sends data to the user’s online database via Zotero’s web API. Using Zotero as the backend data storage, Literature Mapper benefits from all of its features including shared citation Collections, public sharing, and an open web API usable by additional applications, such as web mapping libraries. To evaluate Literature Mapper’s ability to provide insights into the spatial distribution of published literature, we provide a case study using the tool to map the study sites described in academic publications related to the biogeomorphology of California’s coastal strand vegetation, a line of research in which air movement, soil, and water are all driving factors. The results of this exercise are presented in static and web map form. The source code for Literature Mapper is available in the corresponding author’s GitHub repository: https://github.com/MicheleTobias/LiteratureMapper

scholarly journals Comparative TCO Analysis of Battery Electric and Hydrogen Fuel Cell Buses for Public Transport System in Small to Midsize Cities

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4384
Author(s):  
Hanhee Kim ◽  
Niklas Hartmann ◽  
Maxime Zeller ◽  
Renato Luise ◽  
Tamer Soylu
Keyword(s):  
Fuel Cell ◽  
Transport System ◽  
Public Transport ◽  
Transport Sector ◽  
Hydrogen Fuel Cell ◽  
Hydrogen Fuel ◽  
Fuel Cost ◽  
The Public ◽  
Public Transport System ◽  
Bus Body

This paper shows the results of an in-depth techno-economic analysis of the public transport sector in a small to midsize city and its surrounding area. Public battery-electric and hydrogen fuel cell buses are comparatively evaluated by means of a total cost of ownership (TCO) model building on historical data and a projection of market prices. Additionally, a structural analysis of the public transport system of a specific city is performed, assessing best fitting bus lines for the use of electric or hydrogen busses, which is supported by a brief acceptance evaluation of the local citizens. The TCO results for electric buses show a strong cost decrease until the year 2030, reaching 23.5% lower TCOs compared to the conventional diesel bus. The optimal electric bus charging system will be the opportunity (pantograph) charging infrastructure. However, the opportunity charging method is applicable under the assumption that several buses share the same station and there is a “hotspot” where as many as possible bus lines converge. In the case of electric buses for the year 2020, the parameter which influenced the most on the TCO was the battery cost, opposite to the year 2030 in where the bus body cost and fuel cost parameters are the ones that dominate the TCO, due to the learning rate of the batteries. For H2 buses, finding a hotspot is not crucial because they have a similar range to the diesel ones as well as a similar refueling time. H2 buses until 2030 still have 15.4% higher TCO than the diesel bus system. Considering the benefits of a hypothetical scaling-up effect of hydrogen infrastructures in the region, the hydrogen cost could drop to 5 €/kg. In this case, the overall TCO of the hydrogen solution would drop to a slightly lower TCO than the diesel solution in 2030. Therefore, hydrogen buses can be competitive in small to midsize cities, even with limited routes. For hydrogen buses, the bus body and fuel cost make up a large part of the TCO. Reducing the fuel cost will be an important aspect to reduce the total TCO of the hydrogen bus.

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