---
OA_place: publisher
OA_type: gold
_id: '22298'
abstract:
- lang: eng
  text: Air traffic management is a critical component of aviation, aiming to balance
    safety, capacity and demand within controlled airspace. This research analyses
    Iran's domestic air transport network (2018-2021) by developing annual Origin-Destination
    (OD) impedance matrices based on flight frequency. The methodology quantifies
    network connectivity, revealing a highly centralized structure dominated by core
    corridors like Tehran-Mashhad, which carried over 10,500 flights in 2019. The
    COVID-19 pandemic caused a severe disruption in 2020, with traffic on major routes
    falling by nearly half, followed by a partial recovery in 2021. Analysis shows
    core hubs rebounded faster than peripheral airports, widening accessibility gaps.
    Through origin-destination matrix processing, the system identifies high density
    air routes and analyses historical trends in airspace utilization. The impedance
    matrix, validated against data (R²=0.87), successfully maps the intense service
    on hub links and the high impedance of sparse peripheral routes. Then an interactive
    Web GIS platform was implemented for spatiotemporal analysis of air traffic density.
acknowledgement: "We sincerely thank the Iranian Airports and Air Navigation\r\nCompany
  for sharing statistical data on flights from Iranian\r\nairports, separated by origin
  and destination, for this research."
article_processing_charge: No
author:
- first_name: Masoumeh
  full_name: Eghbali Mardekheh, Masoumeh
  last_name: Eghbali Mardekheh
- first_name: Meysam
  full_name: Argany, Meysam
  last_name: Argany
- first_name: Farid
  full_name: Karimipour, Farid
  id: 2A2BCDC4-CF62-11E9-BE5E-3B1EE6697425
  last_name: Karimipour
  orcid: 0000-0001-6746-4174
- first_name: Seyed Mohammad
  full_name: Sedghitabar, Seyed Mohammad
  last_name: Sedghitabar
citation:
  ama: 'Eghbali Mardekheh M, Argany M, Karimipour F, Sedghitabar SM. Real time interactive
    web GIS based modelling of high traffic air corridors in Iran using origin destination
    matrix analysis. In: <i>8th ISPRS Geospatial Conference</i>. Vol X. Copernicus
    Publications; 2026:493-500. doi:<a href="https://doi.org/10.5194/isprs-annals-x-4-w8-2025-493-2026">10.5194/isprs-annals-x-4-w8-2025-493-2026</a>'
  apa: 'Eghbali Mardekheh, M., Argany, M., Karimipour, F., &#38; Sedghitabar, S. M.
    (2026). Real time interactive web GIS based modelling of high traffic air corridors
    in Iran using origin destination matrix analysis. In <i>8th ISPRS Geospatial Conference</i>
    (Vol. X, pp. 493–500). Tehran, Iran: Copernicus Publications. <a href="https://doi.org/10.5194/isprs-annals-x-4-w8-2025-493-2026">https://doi.org/10.5194/isprs-annals-x-4-w8-2025-493-2026</a>'
  chicago: Eghbali Mardekheh, Masoumeh, Meysam Argany, Farid Karimipour, and Seyed
    Mohammad Sedghitabar. “Real Time Interactive Web GIS Based Modelling of High Traffic
    Air Corridors in Iran Using Origin Destination Matrix Analysis.” In <i>8th ISPRS
    Geospatial Conference</i>, X:493–500. Copernicus Publications, 2026. <a href="https://doi.org/10.5194/isprs-annals-x-4-w8-2025-493-2026">https://doi.org/10.5194/isprs-annals-x-4-w8-2025-493-2026</a>.
  ieee: M. Eghbali Mardekheh, M. Argany, F. Karimipour, and S. M. Sedghitabar, “Real
    time interactive web GIS based modelling of high traffic air corridors in Iran
    using origin destination matrix analysis,” in <i>8th ISPRS Geospatial Conference</i>,
    Tehran, Iran, 2026, vol. X, no. 4/W8-2025, pp. 493–500.
  ista: 'Eghbali Mardekheh M, Argany M, Karimipour F, Sedghitabar SM. 2026. Real time
    interactive web GIS based modelling of high traffic air corridors in Iran using
    origin destination matrix analysis. 8th ISPRS Geospatial Conference. ISPRS: Conference
    on Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. X, 493–500.'
  mla: Eghbali Mardekheh, Masoumeh, et al. “Real Time Interactive Web GIS Based Modelling
    of High Traffic Air Corridors in Iran Using Origin Destination Matrix Analysis.”
    <i>8th ISPRS Geospatial Conference</i>, vol. X, no. 4/W8-2025, Copernicus Publications,
    2026, pp. 493–500, doi:<a href="https://doi.org/10.5194/isprs-annals-x-4-w8-2025-493-2026">10.5194/isprs-annals-x-4-w8-2025-493-2026</a>.
  short: M. Eghbali Mardekheh, M. Argany, F. Karimipour, S.M. Sedghitabar, in:, 8th
    ISPRS Geospatial Conference, Copernicus Publications, 2026, pp. 493–500.
conference:
  end_date: 2025-12-17
  location: Tehran, Iran
  name: 'ISPRS: Conference on Photogrammetry, Remote Sensing and Spatial Information
    Sciences,'
  start_date: 2025-12-15
das_tickbox: '0'
date_created: 2026-07-13T09:51:29Z
date_published: 2026-05-29T00:00:00Z
date_updated: 2026-07-14T05:56:30Z
day: '29'
ddc:
- '500'
department:
- _id: HeEd
doi: 10.5194/isprs-annals-x-4-w8-2025-493-2026
file:
- access_level: open_access
  checksum: 7c088dd179cfee6074a350c95671dbe3
  content_type: application/pdf
  creator: dernst
  date_created: 2026-07-14T05:55:34Z
  date_updated: 2026-07-14T05:55:34Z
  file_id: '22328'
  file_name: 2026_ISPRS_EghbaliMardekheh.pdf
  file_size: 2697680
  relation: main_file
  success: 1
file_date_updated: 2026-07-14T05:55:34Z
has_accepted_license: '1'
issue: -4/W8-2025
keyword:
- Air Traffic simulation
- Dynamic Air Traffic Corridors
- Origin Destination matrix
- Interactive Web GIS
- Iran Aviation Network
- Spatiotemporal Modelling
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '05'
oa: 1
oa_version: Published Version
page: 493-500
publication: 8th ISPRS Geospatial Conference
publication_identifier:
  issn:
  - 2194-9050
publication_status: published
publisher: Copernicus Publications
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Real time interactive web GIS based modelling of high traffic air corridors
  in Iran using origin destination matrix analysis
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: X
year: '2026'
...
