Skip to main content
Log in

Safety on Jordan's highways: A GIS-Based approach to identifying road accident hotspots

  • Published:
GeoJournal Aims and scope Submit manuscript


High numbers of road accidents at Jordan's major highways pose a substantial threat to public safety, necessitating strategic road safety interventions. This study presents hotspot spatial analysis based on severity indices for three prominent highways in Jordan via geographic information system (GIS) software. A comprehensive road accident network was constructed based on Jordanian road accident data (locations: Highways 30, 35, and 10) from year 2016 to 2019. Each incident's severity index was taken into consideration. Hotspot patterns were identified using GIS tools namely (a) Getis-Ord Gi* statistic and (b) Global Moran I index for spatial autocorrelation analysis, as they provide detailed information about the spatial distribution as well as statistical significance measures for road accident hotspots. The results revealed critical insights into the distribution of accident hotspots along the selected highways. In ascending order, the statistically significant hotspots observed were 14, 17, and 78 hotspots from Highways 10, 30, and 35. Hotspot patterns can be classified as random (Highway 30), dense (Highway 10), and dense clusters (Highway 35). Highway 35 demands targeted interventions to mitigate accidents along this route. This research takes away the hotspots along the highways that can be a good reference for stakeholders (e.g., transportation planners, policymakers, and relevant authorities) to implement best practices and road safety measures on Jordan's major highways.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Data Availability

The data utilized to substantiate the results of this research can be obtained by contacting the corresponding author.


Download references


The authors would like to thank Al-Hussein Bin Talal University for facilitating the procedures to conduct this research. We extend our gratitude to Ayed Taran, and Hind Sarayreh for their previous contributions to the manuscript.


This study did not receive any financial support from external sources.

Author information

Authors and Affiliations



Conceptualization, Safa Sababhi; Methodology, Shatha Aldala’in; Data curation, Safa Sababhi; Writing—Original draft preparation, Safa Sababhi and Shatha Aldala’in; Visualization, Aymen Al Taani; Investigation, Shatha Alrawashdeh; Software, Safa Sababhi, and Shatha Aldala’in; Validation, Zubeida Aladwan; Writing—Reviewing and Editing, Teh Sabariah Binti Abd Manan, and Thahab Al Barari. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Safa Sababhi.

Ethics declarations

Ethical approval

The study is based on secondary sources of data. We have followed all ethnical terms and conditions to prepare the manuscript. The sources are declared with references. Therefore, this study did not require ethics review.

Conflicts of interest

The authors declare no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sababhi, S., Aldala’in, S., Al Taani, A. et al. Safety on Jordan's highways: A GIS-Based approach to identifying road accident hotspots. GeoJournal 89, 105 (2024).

Download citation

  • Accepted:

  • Published:

  • DOI: