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A case study of traffic volumes based on GIS distance analysis of shortest route data using own SHORTPATH toolbox

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F25%3A10002081" target="_blank" >RIV/44994575:_____/25:10002081 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S2590198225004233" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2590198225004233</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.trip.2025.101744" target="_blank" >10.1016/j.trip.2025.101744</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A case study of traffic volumes based on GIS distance analysis of shortest route data using own SHORTPATH toolbox

  • Original language description

    Transport and its associated environmental impacts vary spatially and temporally, making micro-level data analysis essential. This paper presents a case study that analyses shortest-route parameters and visualises the results in ArcGIS Pro. The research focused on the analysis of traffic volumes in user defined distance from an origin, using a new GIS analysis toolbox “SHORTPATH”. This study was part of the project titled “Research of shortest routes in a transport model in terms of their possible use for traffic analyses”. The developed scripts were compiled into the “SHORTPATH” toolbox, enabling efficient analysis by extracting and processing data from a transport model. One of the analyses performed using this toolbox involved the calculation and visualisation of traffic volumes on the transport network. Data on shortest routes include sequences of nodes and segments of the transport network, along with traffic volumes between trip origins and destinations. This data was processed an R software and uploaded onto a created geodatabase. Scripts were then developed in ArcPython to allow the data to be visualised according to different criteria. This study presents an analysis of distance – based traffic volumes and can be used for traffic environmental analysis as cold and warm engine emissions evaluation. The discovery of the use of data on the shortest routes in a GIS toolbox is the main finding presented in this case study. The second finding is the creation of own GIS toolbox called “SHORTPATH”, which enables various types of shortest path data analysis.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Transportation Research Interdisciplinary Perspectives

  • ISSN

    2590-1982

  • e-ISSN

    2590-1982

  • Volume of the periodical

    2025

  • Issue of the periodical within the volume

    34

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    11

  • Pages from-to

    "nestrankovano"

  • UT code for WoS article

    001629500700001

  • EID of the result in the Scopus database

    2-s2.0-105022806175