Hamid Rabiei

University College Dublin | UCD · School of Architecture, Planning and Environmental Policy & CeADAR

Urban spatial inequality is multidimensional and complex. The extant literature identifies three main theoretically‐informed dimensions of spatial inequality – accessibility, environmental conditions, and socioeconomic conditions. We combine geospatial data on measures across these three theoretical dimensions to derive a composite index for the ci...

The residential real estate market is very important because most people’s wealth is in this sector, and it is an indicator of the economy. Real estate market data in general and market transaction data, in particular, are inherently spatiotemporal as each transaction has a location and time. Therefore, exploratory spatiotemporal methods can extrac...

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 relatio...

Since new urbanism strategies encourage higher density and compact city development, it is expected that the height of urban environments will increase in the next few years as a remedy for many urban problems such as urban sprawl, cost of living, and detrimental environmental impacts of horizontal development of cities. Therefore, urban designers...

Searching for a property is inherently a multicriteria spatial decision. The decision is primarily based on three high-level criteria composed of household needs, building facilities, and location characteristics. Location choice is driven by diverse characteristics; including but not limited to environmental factors, access, services, and the soci...

INTRODUCTION: This paper addresses ship detection in satellite imagery through a deep learning approach, vital for maritime applications. Traditional methods face challenges with large datasets, motivating the adoption of deep learning techniques. OBJECTIVES: The primary objective is to present an algorithmic methodology for U-Net model training, f...

Autonomous Vehicles (AVs) and driverless cars which are equipped with communication capabilities, advanced sensing, and Intelligent Control Systems (ICS), aim to modernize the transportation system. It increases user satisfaction by enhancing personal safety, reducing infrastructure costs, decreasing environmental interruption, and saving time for...

This study investigates how disclosure of different types of private information about self, others, and non-personal information may be influenced by privacy concerns and its impact on social media engagement. We propose that the privacy concerns for self and privacy for others have relationships with self-disclosure and disclosure of information...

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 rel...

The rainfall erosivity factor (R-factor) is the critical factor for calculating the rates of soil erosion implemented by many soil erosion modeling methods, such as the Revised Universal Soil Loss Equation (RUSLE). Therefore, choosing an appropriate technique to interpolate the amount of rainfall erosivity is critical to reducing the uncertainty of...

Predicting the meteorological factors of the climate in the medium and long term is a significant challenge with socio-economic and environmental implications, given its complex and chaotic nature. The current short-term weather predictions the Iraqi meteorological organization offers are less valuable. As a result, this study introduces four machi...

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 highlight...

Solar radiation constitutes the Earth's primary energy source and is critical in regulating surface radiation equilibrium, vegetation photosynthesis, hydrological cycles, and extreme atmospheric. On the other hand, the depletion of global fossil fuel reserves mandates the power sector to adopt renewable energy-based sources, including photovoltaic...

Fine-resolution urban population mapping is vital for many applications, including urban planning and disaster management. However, these data are rarely available. Despite the well-established correlation between urban population distribution and the physical parameters of residential areas and urban mobility, there needs to be a comprehensive mod...

Social phenomena are multidimensional and dependent on geographic space. Numerous methods are capable of representing multidimensional social phenomena through a composite indicator. Among these methods, principal component analysis (PCA) is the most used when considering the geographical perspective. However, the composite indicators built by the...

This research proposes a decision framework that allows for the identification of the most suitable methods to construct stable composite indicators that capture the concept of multidimensional social phenomena. This decision framework is applied to discover which method among six best represents the social exclusion of eight medium-sized Brazilian...

Appropriate spatial accessibility to healthcare facilities is an important component of the efficient delivery of healthcare. This study aims to measure spatial accessibility to healthcare facilities in Isfahan Metropolitan Area, a rapidly growing megacity in Iran. We used two methods of population-weighted fuzzy analytic hierarchy process and the...

Informal settlement is one of the most common forms of urbanization, increasing every day all over the world, especially in developing countries. One of the important topics informal settlements studies is the measurement of indicators that can identify these settlements effectively. In many articles, the authors use various indicators to identify...

Traffic accident mortality (TAM) is a significant global problem and part of the sustainable development goals strategy. In Serbia, a decline in the number of deaths in traffic accidents is evident, but in certain time intervals and areas, the number of deaths is higher than in others. This paper adopted Joinpoint regression analysis and a geospati...

Traffic accident mortality (TAM) is a significant global problem and part of the sustainable development goals strategy. In Serbia, a decline in the number of deaths in traffic accidents is evident, but in certain time intervals and areas, the number of deaths is higher than in others. This paper adopted Joinpoint regression analysis and a geospati...

One of the growing areas in the west of Iran is Sanandaj city, the center of Kordestan province, which requires the investigation of the city's growth and the estimation of land degradation. Today, the combination of remote sensing data and spatial models is a useful tool for monitoring and modeling land use and land cover (LULC) changes. In this s...

Rapid and timely evaluation and monitoring of the urban environment has gained significant importance in understanding the state of urban sustainability in metropolises. Multi-source remote sensing (RS) data are a valuable source for a comprehensive understanding of urban environmental changes in developing countries. However, in the Middle East, a...

The unequal distribution of healthcare services is the main obstacle to achieving health equity and sustainable development goals. Spatial accessibility to healthcare services is an area of interest for health planners and policymakers. In this study, we focus on the spatial accessibility to four different types of healthcare services, including ho...

is study deals with identifying the accident blackspots and the in uencing factors causing accidents using factored analysis in a medium-sized city (Tirunelveli) in India. From the literature review, the geospatial technique to identify the blackspots and the factors causing accidents was used for analysis. e most in uencing factors driving the acc...

This paper deals with identifying the accident black spots and the influencing factors causing accidents using factored analysis in the medium-sized city (Tirunelveli) in India. From the literature review, the geospatial technique to identify the black spots and the factors causing accidents was used for analysis. The most influencing factors drivi...

This paper offers an analysis of the supply of Airbnb accommodation in Rome, one of the main tourist destinations in the world, the third-largest city in Europe, by the number of Airbnb listings. The aim is to focus on the recent spatial trend of Airbnb listings, including the period of the COVID-19 pandemic, and highlight the main housing and soci...

TThe risk of severe illness or death from COVID-19 is associated with specific demographic characteristics or composition of the population within geographic areas, and the spatial relationship between these areas. The aim of this paper is to identify areas with a higher concentration of population vulnerable to COVID19, relying on the concept of s...

Efficient implementation of remote sensing image classification can facilitate the extraction of spatiotemporal information for land use and land cover (LULC) classification. Mapping LULC change can pave the way to investigate the impacts of different socioeconomic and environmental factors on the Earth’s surface. This study presents an algorithm t...

International migration is changing the social structure and cultural landscape of countries and big cities worldwide, especially in developed countries which are the target of job and asylum seekers. On the other hand, cultural diversity is becoming an important concept from different perspectives, such as boosting innovation and spatial segregati...

Like many developing countries, Iran faces air pollution, especially in its metropolises and industrial cities. Nitrogen dioxide (NO2) is one of the significant air pollutants; therefore, this study aims to investigate the spatiotemporal variability of NO2 using Tropospheric Monitoring Instrument (TROPOMI) sensor mounted on the Sentinel-5P (S5P) sa...

Urban sprawl is a universal phenomenon and can be seen as a city’s low-density and haphazard development from the centre to suburban areas, and it has different adverse environmental effects at local and regional scales, including increasing the cost of infrastructure. Geospatial data and technology can be used to measure urban sprawl and predict u...

Land-use change is a major environmental issue in the world. Monitoring and management of land-use changes that occurs at different spatial and temporal levels require accurate information. This study was carried out a Cellular Automata-Markov model to model the future land use changes and compare those changes with different land-use change scenar...

Mapping land use and change detection is the most used application of remote sensing data. In this paper, Landsat 8 OLI/TIRS images were to extract land use maps using support vector machine and artificial neural network methods. In this study, three different band combinations including (A) reflective bands (B) reflective and thermal bands (C) and...

The COVID-19 pandemic escalated in almost all parts of the world over a very short period of time. The speed of the spread was determined by the degree of mobility of the population, while the risk of severe illness or death depended on the population?s demographic characteristics, population health status, and the capacity of the health system to...

Spatial segregation is both a reflection of the existing social structure and a mechanism to enforce that structure. In Tehran, the dramatic increase in the capacity of universities and educational institutions has led to a significant rise in the number of graduates with a university degree, but it is still unclear to what extent spatial segregati...

Nowadays, recognizing the current situation and forecasting the desired status of spatial analysis of infrastructures regarding security and defense considerations is of great importance. Besides, the use of approaches such as futures studies and its simultaneous application with GIS has the most fundamental contribution to the field of decision-ma...

فضا همواره جزء ذاتی جمعیت‌شناسی بوده و فرایندهای جمعیتی ذاتاً یک نوع فعالیت زمانی- فضایی هستند. بازشناسی اهمیت فضا و جدایی گزینی فضایی در تحلیل های جمعیت شناسی، افق ها و سمت وسوهای جدیدی در جمعیت شناسی و چارچوب های مفهومی و تحلیلی آن پدید آورده است. جدایی گزینی فضایی به توزیع گروه‌های اجتماعی، زیرساخت‌ها، فعالیت‌ها و یا توزیع هر گونه عناصر معین دیگ...

Fertility is a key process shaping long-term population dynamics. Distinctive fertility trends have characterized demographic transitions, exhibiting sequential periods of spatial convergence and divergence. This descriptive study investigates the spatiotemporal evolution of Total Fertility Rate (TFR) and Crude Birth Rate (CBR) at different geograp...

In general, neighbourhoods are susceptible to changes such as economic expansion or decline, new developments and infrastructure, new business and industry, gentrification or super gentrification, decline and abandonment. In this paper, we assess the ability of Airbnb data to identify locations prone to neighbourhood change using data from the Airb...

Citizen consumption refers to the goods and services which citizens utilise. This includes time spent on leisure and cultural activities as well as the consumption of necessary and luxury goods and services. The spatial dimension of consumption inequality can show the underlying urban spatial structure and processes of a city. Usually, the main bar...

Today, urban areas are among the most complex social landscapes. In order to detect and to resolve urban social problems, urban planners require a deep recognition of this complexity. Synthetic homogeneous neighborhoods offer one approach in moving towards reimagining some of the invisible socioeconomic aspects of urban life. In this paper, we use...

During the last quarter century the developing world has been experiencing rapid urban growth. These rapidly changing urban landscapes can create many new opportunities for economic growth but the same processes can also generate spatial inequalities within urban boundaries. Using recent and comprehensive geospatial data we describe, map and examin...

Recent interest in the social determinants of health (SDOH) and the effects of neighborhood contexts on individual health and well-being has grown exponentially. In this brief communication, we describe recent developments in both analytical perspectives and methods that have opened up new opportunities for researchers interested in exploring neigh...

Social and spatial inequalities are important challenges in today’s urban life. Socio-economic inequalities sometimes manifest themselves in the form of spatial inequality. In other words, spatial inequality represents social inequality or distribution disorder in the social system. Tehran, as a metropolis and the capital of Iran, has a crucial rol...

Without information on who and how many people are marginalized and underserved and on being able to identify where these groups live, it is not easy to address challenges associated with spatial inequality. There are many studies on urban spatial inequality, but few studies capture the complexity and multidimensionality of spatial inequality and/o...

One of the most crucial needs for every researcher who use statistical data at different scales specific at urban scale is designing and defining areal unit of analyses. Some experts use official zoning system and some other use a purpose-based areal units and new zoning system regarding their need and goals of the study. In a city or region, admin...

Semiotic reading of a text is a new academic tool for exploring potential meanings of a text. It is meant to shed light on the mechanisms of production, exchange and reception of meanings in texts. Given that according to Semioticians any chain of signs constitutes a text, the central argumentation of the current paper is that a city also can be re...

This study investigated whether urban symbol modernization in Tehran was in line with the modernization of citizens’ ways of conceptualizing. For this reason, Tehran citizens’ conceptual metaphors toward two important Tehran urban symbols, Azadi and Milad towers, were analyzed. Azadi tower is a traditional and a memorial symbol while Milad tower is...

Semiotic reading of a text is a new academic tool for exploring potential meanings of a text. It is meant to shed light on the mechanisms of production, exchange and reception of meanings in texts. Given that according to Semioticians any chain of signs constitutes a text, the central argumentation of the current paper is that a city also can be re...

تهیه نقشه تغییرات کاربری و پوشش اراضی از نیازهای اساسی برای مدیریت و نظارت محیطی است. این نقشه‌ها در برنامه‌ریزی و تصمیم‌گیریهای مختلف استفاده می‌شوند، بنابراین تعیین قابلیت اعتماد و صحت این نقشه‌ها اهمیت زیادی دارد. در این مطالعه از یک روش جدید برای مدلسازی عدم اطمینان در آشکارسازی تغییرات استفاده شد. در این روش علاوه بر اطلاعات احتمالاتی، از ویژگ...

چکیده آشکارساختن تغییرات یکی از نیازهای اساسی در مدیریت و ارزیابی منابع طبیعی است. بنابراین نقشه تغییرات کاربری را که نتیجه فرایند آشکارسازی تغییرات می‌باشد، می‌توان بر‌اساس تصاویر چند زمانه سنجش از دور تهیه کرد. لازم به ذکر است که روشهای متفاوت و گوناگونی برای آشکارسازی تغییرات و تحولات کاربریها ارائه شده است. در این تحقیق تغییرات، تحولات کاربری و...

Land use/cover change mapping is one of the basic tasks for environmental monitoring and management. Since the change maps are usually utilized in the planning and decision-making processes, therefore identification of the certainty and reliability of these maps is very important in many applications. Unfortunately in many studies only the pixel-ba...