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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Transportation Research Interdisciplinary Perspectives

ISSN

2590-1982

e-ISSN

2590-1982

Svazek periodika

2025

Číslo periodika v rámci svazku

34

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

11

Strana od-do

"nestrankovano"

Kód UT WoS článku

001629500700001

EID výsledku v databázi Scopus

2-s2.0-105022806175