Hamidreza Rabiei-Dastjerdi
Biographic Data
| ID | 3559433 |
|---|---|
| NAME | Hamidreza Rabiei-Dastjerdi |
| GIVEN NAMES | Hamidreza |
| FAMILY NAME | Rabiei-Dastjerdi |
| SIGNATURE | RABIEI-DASTJERDI H |
| AFFILIATIONS | University College Dublin |
| ORCID | 0000-0003-2576-793X |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 8 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Developing a population-density-weighted community health vulnerability index for heat and air quality to support targeted public health interventions: A multihazard assessment using remotely sensed a…
Developed a population-density-weighted health vulnerability index (CHVIP) for Los Angeles. • Integrated remote sensing, health, and socio-economic data to map environmental injustice. • 45% of LA’s population resides in very high vulnerability zones, concentrated in the south. • CHVIP reveals structural inequities rooted in historical redlining and underinvestment. • Hotspots align with low-income, minority neighborhoods facing heat and air poll…
Bridging the Gap: Embedding Ecosystem Services Into Urban Development Plans for Resilient Cities
Urban areas increasingly face environmental and socio‐economic challenges resulting from rapid urbanization and the degradation of natural systems. Despite widespread recognition of the importance of Ecosystem Services (ES), many Urban Development Plans (UDPs) remain rigid and context‐insensitive, limiting their capacity to support ecological resilience. This study aims to identify barriers to integrating ES into UDPs and to propose a practical f…
Highlighting concealed communities: Detection of urban informal settlements using space syntax method, fuzzy model, and high-resolution imagery
The rapid expansion of informal settlements poses a critical challenge to urbanization and underscores the urgent need for innovative and precise methods to map and monitor this global problem. This research leverages a multidimensional framework, incorporating service accessibility, demographic data, and route morphology, and uses the Fuzzy model to map informal settlements in a case study from District 19 of Tehran, Iran, where there is a high …
Digital Twins and Big Data in the Metaverse: Addressing Privacy, Scalability, and Interoperability with AI and Blockchain
This paper explores the integration of digital twin technologies and big data in the metaverse to improve urban traffic management. It highlights the importance of technology in mirroring and augmenting our physical and virtual worlds. This study examines how big data and digital twin technologies merge in the metaverse to improve traffic management. Our work applies artificial intelligence (AI) and blockchain technologies to address concerns abo…
Multi-scale dynamic population estimation: An Adaptive Inverse Distance Weighting (Aidw) model incorporating spatial characteristics
Harnessing Spatial Heterogeneity in Composite Indicators through the Ordered Geographically Weighted Averaging ( Ogwa ) Operator
Spatially heterogeneous weights and a non‐compensatory aggregation scheme, are two important properties needed to construct a composite indicator capable of summarizing properly the multidimensional phenomenon of local spatial units. Such a composite indicator takes into account, on the one hand, the latent characteristics of the specific units related to their location in the territory, and on the other hand, the relative importance of sub‐indic…
An examination and analysis of the clustering of healthcare centers and their spatial accessibility in Tehran metropolis: Insights from Google POI data
Ordered weighted averaging for the evaluation of urban inequality in sao Sebastião Do Paraíso
Drawing a Long Shadow: Analyzing Spatial Segregation of Afghan Immigrants in Tehran
Although recent dramatic political changes in Afghanistan have brought that country to global attention, migration from Afghanistan to Iran has a long history. Nearly three quarters of Afghan immigrants in Iran are located in cities, particularly in Tehran's metropolitan area. However, despite the long-term presence of Afghan immigrants in Iran, research on patterns and drivers of spatial segregation of immigrants has been very limited. The resea…
Adaptive weighted least squares (AWLS): A new vector-based model to improve urban population estimation at small-area scale using morphology and attractiveness criteria
One Thousand and One Cities: Socio-Spatial Patterns and Challenges over a Half-Century of Urbanization in Iran
Since 1970, Iran has experienced dramatic environmental, political, and socioeconomic changes and events. All these events have impacted and shaped the urbanized landscape in Iran during the past 50 years. This article provides an overview of those factors influencing the socio-spatial patterns during this half-century of urbanization and highlights the current challenges that confront Iran's cities
Which came first, the gentrification or the Airbnb? Identifying spatial patterns of neighbourhood change using Airbnb data
Over time, neighbourhoods experience different types of change. Neighbourhood change is a spatiotemporal process that involves analysing how attributes of a location change over time. In this article, we explore the capability of short-term property rental data to identify neighbourhoods where change is occurring. The article focuses on the relationship between data from the Airbnb platform and gentrification. Through a study in Dublin, Ireland, …
Spatial variability of total fertility rate and crude birth rate in a low-fertility country: Patterns and trends in regional and local scale heterogeneity across Italy, 2002–2018
Which came first, the gentrification or the Airbnb? Identifying spatial patterns of neighbourhood change using Airbnb data
Over time, neighbourhoods experience different types of change. Neighbourhood change is a spatiotemporal process that involves analysing how attributes of a location change over time. In this article, we explore the capability of short-term property rental data to identify neighbourhoods where change is occurring. The article focuses on the relationship between data from the Airbnb platform and gentrification. Through a study in Dublin, Ireland, …
Ordered weighted averaging for the evaluation of urban inequality in sao Sebastião Do Paraíso
Drawing a Long Shadow: Analyzing Spatial Segregation of Afghan Immigrants in Tehran
Although recent dramatic political changes in Afghanistan have brought that country to global attention, migration from Afghanistan to Iran has a long history. Nearly three quarters of Afghan immigrants in Iran are located in cities, particularly in Tehran's metropolitan area. However, despite the long-term presence of Afghan immigrants in Iran, research on patterns and drivers of spatial segregation of immigrants has been very limited. The resea…
One Thousand and One Cities: Socio-Spatial Patterns and Challenges over a Half-Century of Urbanization in Iran
Since 1970, Iran has experienced dramatic environmental, political, and socioeconomic changes and events. All these events have impacted and shaped the urbanized landscape in Iran during the past 50 years. This article provides an overview of those factors influencing the socio-spatial patterns during this half-century of urbanization and highlights the current challenges that confront Iran's cities
Spatial variability of total fertility rate and crude birth rate in a low-fertility country: Patterns and trends in regional and local scale heterogeneity across Italy, 2002–2018
Which came first, the gentrification or the Airbnb? Identifying spatial patterns of neighbourhood change using Airbnb data
Over time, neighbourhoods experience different types of change. Neighbourhood change is a spatiotemporal process that involves analysing how attributes of a location change over time. In this article, we explore the capability of short-term property rental data to identify neighbourhoods where change is occurring. The article focuses on the relationship between data from the Airbnb platform and gentrification. Through a study in Dublin, Ireland, …
Adaptive weighted least squares (AWLS): A new vector-based model to improve urban population estimation at small-area scale using morphology and attractiveness criteria
One Thousand and One Cities: Socio-Spatial Patterns and Challenges over a Half-Century of Urbanization in Iran
Since 1970, Iran has experienced dramatic environmental, political, and socioeconomic changes and events. All these events have impacted and shaped the urbanized landscape in Iran during the past 50 years. This article provides an overview of those factors influencing the socio-spatial patterns during this half-century of urbanization and highlights the current challenges that confront Iran's cities
Harnessing Spatial Heterogeneity in Composite Indicators through the Ordered Geographically Weighted Averaging ( Ogwa ) Operator
Spatially heterogeneous weights and a non‐compensatory aggregation scheme, are two important properties needed to construct a composite indicator capable of summarizing properly the multidimensional phenomenon of local spatial units. Such a composite indicator takes into account, on the one hand, the latent characteristics of the specific units related to their location in the territory, and on the other hand, the relative importance of sub‐indic…
An examination and analysis of the clustering of healthcare centers and their spatial accessibility in Tehran metropolis: Insights from Google POI data
Ordered weighted averaging for the evaluation of urban inequality in sao Sebastião Do Paraíso
Drawing a Long Shadow: Analyzing Spatial Segregation of Afghan Immigrants in Tehran
Although recent dramatic political changes in Afghanistan have brought that country to global attention, migration from Afghanistan to Iran has a long history. Nearly three quarters of Afghan immigrants in Iran are located in cities, particularly in Tehran's metropolitan area. However, despite the long-term presence of Afghan immigrants in Iran, research on patterns and drivers of spatial segregation of immigrants has been very limited. The resea…
Highlighting concealed communities: Detection of urban informal settlements using space syntax method, fuzzy model, and high-resolution imagery
The rapid expansion of informal settlements poses a critical challenge to urbanization and underscores the urgent need for innovative and precise methods to map and monitor this global problem. This research leverages a multidimensional framework, incorporating service accessibility, demographic data, and route morphology, and uses the Fuzzy model to map informal settlements in a case study from District 19 of Tehran, Iran, where there is a high …
Digital Twins and Big Data in the Metaverse: Addressing Privacy, Scalability, and Interoperability with AI and Blockchain
This paper explores the integration of digital twin technologies and big data in the metaverse to improve urban traffic management. It highlights the importance of technology in mirroring and augmenting our physical and virtual worlds. This study examines how big data and digital twin technologies merge in the metaverse to improve traffic management. Our work applies artificial intelligence (AI) and blockchain technologies to address concerns abo…
Multi-scale dynamic population estimation: An Adaptive Inverse Distance Weighting (Aidw) model incorporating spatial characteristics
Developing a population-density-weighted community health vulnerability index for heat and air quality to support targeted public health interventions: A multihazard assessment using remotely sensed a…
Developed a population-density-weighted health vulnerability index (CHVIP) for Los Angeles. • Integrated remote sensing, health, and socio-economic data to map environmental injustice. • 45% of LA’s population resides in very high vulnerability zones, concentrated in the south. • CHVIP reveals structural inequities rooted in historical redlining and underinvestment. • Hotspots align with low-income, minority neighborhoods facing heat and air poll…
Bridging the Gap: Embedding Ecosystem Services Into Urban Development Plans for Resilient Cities
Urban areas increasingly face environmental and socio‐economic challenges resulting from rapid urbanization and the degradation of natural systems. Despite widespread recognition of the importance of Ecosystem Services (ES), many Urban Development Plans (UDPs) remain rigid and context‐insensitive, limiting their capacity to support ecological resilience. This study aims to identify barriers to integrating ES into UDPs and to propose a practical f…
Geography (9 works) · Computer Science (6 works) · Economics (6 works) · Population (5 works) · Data mining (4 works) · Demography (4 works) · Economic growth (4 works) · Engineering (4 works) · Mathematics (4 works) · Urban Transport and Accessibility (4 works)