Reimagining Iran's Spatial System: Geospatial Innovations for Smart Regional Development

Abstract. This study analyzes the dimensions, contexts, and challenges of implementing smart regional development in Iran using a qualitative approach with in-depth semi-structured interviews from experts in urban and regional planning and policymaking. The focus is on identifying key components, development opportunities, structural barriers, and institutional prerequisites for smart regional development, adapted to Iran’s local conditions. Data were gathered through interviews with four prominent specialists in smartification, local governance, and regional planning, analyzed via qualitative content analysis employing a three-stage coding process (open, axial, selective) until theoretical saturation. Findings reveal that effective smart regional development in Iran demands three core pillars: enhanced technological and informational infrastructure, integrated and participatory multi-level governance, and strengthened organizational capacity in local institutions. Major challenges include persistent centralization, inadequate participatory culture, fragmented information systems, and limitations in financial and human resources. Comparisons with global research highlight conceptual alignments alongside Iran’s unique structural and institutional differences, emphasizing the necessity for a localized policy framework. The innovation of this research lies in delineating an integrated, context specific conceptual model that can serve as a foundation for future policymaking in smart regional development.

Authors

Institutions

Publication Details

Journal
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Published
2026-05-29
DOI
https://doi.org/10.5194/isprs-annals-x-4-w8-2025-593-2026
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reimagining Iran's Spatial System: Geospatial Innovations for Smart Regional Development

Mehrdad Rahmani, Mahdieh Zahiri
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Smart Cities and Technologies
article

Reimagining Iran's Spatial System: Geospatial Innovations for Smart Regional Development

Mehrdad Rahmani, Mahdieh Zahiri
article en

Abstract

Abstract. This study analyzes the dimensions, contexts, and challenges of implementing smart regional development in Iran using a qualitative approach with in-depth semi-structured interviews from experts in urban and regional planning and policymaking. The focus is on identifying key components, development opportunities, structural barriers, and institutional prerequisites for smart regional development, adapted to Iran’s local conditions. Data were gathered through interviews with four prominent specialists in smartification, local governance, and regional planning, analyzed via qualitative content analysis employing a three-stage coding process (open, axial, selective) until theoretical saturation. Findings reveal that effective smart regional development in Iran demands three core pillars: enhanced technological and informational infrastructure, integrated and participatory multi-level governance, and strengthened organizational capacity in local institutions. Major challenges include persistent centralization, inadequate participatory culture, fragmented information systems, and limitations in financial and human resources. Comparisons with global research highlight conceptual alignments alongside Iran’s unique structural and institutional differences, emphasizing the necessity for a localized policy framework. The innovation of this research lies in delineating an integrated, context specific conceptual model that can serve as a foundation for future policymaking in smart regional development.

ISPRS annals of the photogrammetry, remote sensing and spatial information sciencesVol. X-4/W8-2025
University of Tehran (IR)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Smart Cities and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.