Reclaimed Asphalt Pavement (RAP) Based on a Geospatial Information System (GIS)

A Geospatial Information System (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geospatial data. Reclaimed Asphalt Pavement (RAP) based on the GIS is one of the indirect and efficient methods in identifying areas. In this work, an analytical computat...

Full description

Bibliographic Details
Main Authors: Asli Hossein Hariri, Arabani Mahyar, Golpour Yaser
Format: Article
Language:English
Published: Sciendo 2020-06-01
Series:Slovak Journal of Civil Engineering
Subjects:
Online Access:http://www.degruyter.com/view/j/sjce.2020.28.issue-2/sjce-2020-0013/sjce-2020-0013.xml?format=INT
id doaj-a008c61c0d6f44b09495bf93c39ba6b4
record_format Article
spelling doaj-a008c61c0d6f44b09495bf93c39ba6b42020-11-25T03:23:29ZengSciendoSlovak Journal of Civil Engineering1338-39732020-06-01282364210.2478/sjce-2020-0013sjce-2020-0013Reclaimed Asphalt Pavement (RAP) Based on a Geospatial Information System (GIS)Asli Hossein Hariri0Arabani Mahyar1Golpour Yaser2Dept. of Civil Engineering, Faculty of Engineering, University of Guilan, Rasht, IranDept. of Civil Engineering, Faculty of Engineering, University of Guilan, Rasht, IranDept. of Civil Engineering, Faculty of Engineering, University of Guilan, Rasht, IranA Geospatial Information System (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geospatial data. Reclaimed Asphalt Pavement (RAP) based on the GIS is one of the indirect and efficient methods in identifying areas. In this work, an analytical computational process combined with a spatial analysis was used to identify pavement zones for a city. The zoning results were categorized in four classes, including very high, high, medium risk, and low risk zones. The high and very high risk zones have been considered as a whole. The work circumstances include the Mean Profile Depth (MPD) data as a function of the number of wheel passes and the temperature; ten (10) specimens were selected from a set of 23 specimens. The results showed a good correlation between the parameters, including the number of wheels passing, the temperature, and the MPD.http://www.degruyter.com/view/j/sjce.2020.28.issue-2/sjce-2020-0013/sjce-2020-0013.xml?format=INTpavementgeospatial information systems (gis)regressionanalytical computational process
collection DOAJ
language English
format Article
sources DOAJ
author Asli Hossein Hariri
Arabani Mahyar
Golpour Yaser
spellingShingle Asli Hossein Hariri
Arabani Mahyar
Golpour Yaser
Reclaimed Asphalt Pavement (RAP) Based on a Geospatial Information System (GIS)
Slovak Journal of Civil Engineering
pavement
geospatial information systems (gis)
regression
analytical computational process
author_facet Asli Hossein Hariri
Arabani Mahyar
Golpour Yaser
author_sort Asli Hossein Hariri
title Reclaimed Asphalt Pavement (RAP) Based on a Geospatial Information System (GIS)
title_short Reclaimed Asphalt Pavement (RAP) Based on a Geospatial Information System (GIS)
title_full Reclaimed Asphalt Pavement (RAP) Based on a Geospatial Information System (GIS)
title_fullStr Reclaimed Asphalt Pavement (RAP) Based on a Geospatial Information System (GIS)
title_full_unstemmed Reclaimed Asphalt Pavement (RAP) Based on a Geospatial Information System (GIS)
title_sort reclaimed asphalt pavement (rap) based on a geospatial information system (gis)
publisher Sciendo
series Slovak Journal of Civil Engineering
issn 1338-3973
publishDate 2020-06-01
description A Geospatial Information System (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geospatial data. Reclaimed Asphalt Pavement (RAP) based on the GIS is one of the indirect and efficient methods in identifying areas. In this work, an analytical computational process combined with a spatial analysis was used to identify pavement zones for a city. The zoning results were categorized in four classes, including very high, high, medium risk, and low risk zones. The high and very high risk zones have been considered as a whole. The work circumstances include the Mean Profile Depth (MPD) data as a function of the number of wheel passes and the temperature; ten (10) specimens were selected from a set of 23 specimens. The results showed a good correlation between the parameters, including the number of wheels passing, the temperature, and the MPD.
topic pavement
geospatial information systems (gis)
regression
analytical computational process
url http://www.degruyter.com/view/j/sjce.2020.28.issue-2/sjce-2020-0013/sjce-2020-0013.xml?format=INT
work_keys_str_mv AT aslihosseinhariri reclaimedasphaltpavementrapbasedonageospatialinformationsystemgis
AT arabanimahyar reclaimedasphaltpavementrapbasedonageospatialinformationsystemgis
AT golpouryaser reclaimedasphaltpavementrapbasedonageospatialinformationsystemgis
_version_ 1724605951061786624