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Muhammad Tauhidur Rahman
Department of City and Regional Planning, King Fahd University of Petroleum & Minerals, KFUPM Box 5053, Dhahran 31261, Saudi Arabia

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Journal article
Published: 08 September 2020 in ISPRS International Journal of Geo-Information
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Examining the relationships between vehicle crash patterns and urban land use is fundamental to improving crash predictions, creating guidance, and comprehensive policy recommendations to avoid crash occurrences and mitigate their severities. In the existing literature, statistical models are frequently used to quantify the association between crash outcomes and available explanatory variables. However, they are unable to capture the latent spatial heterogeneity accurately. Further, the vast majority of previous studies have focused on detailed spatial analysis of crashes from an aggregated viewpoint without considering the attributes of the built environment and land use. This study first uses geographic information systems (GIS) to examine crash hotspots based on two severity groups, seven prevailing crash causes, and three predominant crash types in the City of Dammam, Kingdom of Saudi Arabia (KSA). GIS-based geographically weighted regression (GWR) analysis technique was then utilized to uncover the spatial relationships of traffic collisions with population densities and relate it to the land use of each neighborhood. Results showed that Fatal and Injury (FI) crashes were mostly located in residential neighborhoods and near public facilities having low to medium population densities on highways with relatively higher speed limits. Distribution of hotspots and GWR-based analysis for crash causes showed that crashes due to “sudden lane deviation” accounted for the highest proportion of crashes that were concentrated mainly in the Central Business District (CBD) of the study area. Similarly, hotspots and GWR analysis for crash types revealed that “collisions between motor vehicles” constitute a significant proportion of the total crashes, with epicenters mostly stationed in high-density residential neighborhoods. The outcomes of this study could provide analysts and practitioners with crucial insights to understand the complex inter-relationships between traffic safety and land use. It can provide useful guidance to policymakers for better planning and effective management strategies to enhance safety at zonal levels.

ACS Style

Muhammad Tauhidur Rahman; Arshad Jamal; Hassan M. Al-Ahmadi. Examining Hotspots of Traffic Collisions and their Spatial Relationships with Land Use: A GIS-Based Geographically Weighted Regression Approach for Dammam, Saudi Arabia. ISPRS International Journal of Geo-Information 2020, 9, 540 .

AMA Style

Muhammad Tauhidur Rahman, Arshad Jamal, Hassan M. Al-Ahmadi. Examining Hotspots of Traffic Collisions and their Spatial Relationships with Land Use: A GIS-Based Geographically Weighted Regression Approach for Dammam, Saudi Arabia. ISPRS International Journal of Geo-Information. 2020; 9 (9):540.

Chicago/Turabian Style

Muhammad Tauhidur Rahman; Arshad Jamal; Hassan M. Al-Ahmadi. 2020. "Examining Hotspots of Traffic Collisions and their Spatial Relationships with Land Use: A GIS-Based Geographically Weighted Regression Approach for Dammam, Saudi Arabia." ISPRS International Journal of Geo-Information 9, no. 9: 540.

Journal article
Published: 02 March 2020 in Sustainability
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Traffic signal control is an integral component of an intelligent transportation system (ITS) that play a vital role in alleviating traffic congestion. Poor traffic management and inefficient operations at signalized intersections cause numerous problems as excessive vehicle delays, increased fuel consumption, and vehicular emissions. Operational performance at signalized intersections could be significantly enhanced by optimizing phasing and signal timing plans using intelligent traffic control methods. Previous studies in this regard have mostly focused on lane-based homogenous traffic conditions. However, traffic patterns are usually non-linear and highly stochastic, particularly during rush hours, which limits the adoption of such methods. Hence, this study aims to develop metaheuristic-based methods for intelligent traffic control at isolated signalized intersections, in the city of Dhahran, Saudi Arabia. Genetic algorithm (GA) and differential evolution (DE) were employed to enhance the intersection’s level of service (LOS) by optimizing the signal timings plan. Average vehicle delay through the intersection was selected as the primary performance index and algorithms objective function. The study results indicated that both GA and DE produced a systematic signal timings plan and significantly reduced travel time delay ranging from 15 to 35% compared to existing conditions. Although DE converged much faster to the objective function, GA outperforms DE in terms of solution quality i.e., minimum vehicle delay. To validate the performance of proposed methods, cycle length-delay curves from GA and DE were compared with optimization outputs from TRANSYT 7F, a state-of-the-art traffic signal simulation, and optimization tool. Validation results demonstrated the adequacy and robustness of proposed methods.

ACS Style

Arshad Jamal; Muhammad Tauhidur Rahman; Hassan M. Al-Ahmadi; Irfan Ullah; Muhammad Zahid. Intelligent Intersection Control for Delay Optimization: Using Meta-Heuristic Search Algorithms. Sustainability 2020, 12, 1896 .

AMA Style

Arshad Jamal, Muhammad Tauhidur Rahman, Hassan M. Al-Ahmadi, Irfan Ullah, Muhammad Zahid. Intelligent Intersection Control for Delay Optimization: Using Meta-Heuristic Search Algorithms. Sustainability. 2020; 12 (5):1896.

Chicago/Turabian Style

Arshad Jamal; Muhammad Tauhidur Rahman; Hassan M. Al-Ahmadi; Irfan Ullah; Muhammad Zahid. 2020. "Intelligent Intersection Control for Delay Optimization: Using Meta-Heuristic Search Algorithms." Sustainability 12, no. 5: 1896.

Journal article
Published: 24 December 2019 in International Journal of Environmental Research and Public Health
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Road traffic crashes (RTCs) are one of the most critical public health problems worldwide. The WHO Global Status Report on Road Safety suggests that the annual fatality rate (per 100,000 people) due to RTCs in the Kingdom of Saudi Arabia (KSA) has increased from 17.4 to 27.4 over the last decade, which is an alarming situation. This paper presents an overview of RTCs in the Eastern Province, KSA, from 2009 to 2016. Key descriptive statistics for spatial and temporal distribution of crashes are presented. Statistics from the present study suggest that the year 2012 witnessed the highest number of crashes, and that the region Al-Ahsa had a significantly higher proportion of total crashes. It was concluded that the fatality rate for the province was 25.6, and the mean accident to injury ratio was 8:4. These numbers are substantially higher compared to developed countries and the neighboring Gulf states. Spatial distribution of crashes indicated that a large proportion of severe crashes occurred outside the city centers along urban highways. Logistic regression models were developed to predict crash severity. Model estimation analysis revealed that crash severity can be attributed to several significant factors including driver attributes (such as sleep, distraction, overspeeding), crash characteristics (such as sudden deviation from the lane, or collisions with other moving vehicles, road fences, pedestrians, or motorcyclists), and rainy weather conditions. After critical analysis of existing safety and infrastructure situations, various suitable crash prevention and mitigation strategies, for example, traffic enforcement, traffic calming measures, safety education programs, and coordination of key stakeholders, have been proposed.

ACS Style

Arshad Jamal; Muhammad Tauhidur Rahman; Hassan M. Al-Ahmadi; Umer Mansoor. The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies. International Journal of Environmental Research and Public Health 2019, 17, 157 .

AMA Style

Arshad Jamal, Muhammad Tauhidur Rahman, Hassan M. Al-Ahmadi, Umer Mansoor. The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies. International Journal of Environmental Research and Public Health. 2019; 17 (1):157.

Chicago/Turabian Style

Arshad Jamal; Muhammad Tauhidur Rahman; Hassan M. Al-Ahmadi; Umer Mansoor. 2019. "The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies." International Journal of Environmental Research and Public Health 17, no. 1: 157.

Journal article
Published: 14 February 2019 in International Journal of Environmental Research and Public Health
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Rapid urban expansion and population growth in Saudi cities over the past four decades have increased vehicular accidents and traffic congestion and have impacted the daily walking conditions of the residents. Walking has various health and environmental benefits. In North American and European countries, three factors have been found to motivate a resident to walk within their community: their accessibility to community social and business facilities, their perception and willingness, and the safety conditions of the roads and sidewalks within their community for walking. This study examined these factors and their role in the walking habits of the residents in the neighborhoods of Doha and Dana districts in Saudi Arabia’s eastern city of Dhahran. Data were collected through field observations and by randomly sampling and interviewing 200 residents. Geographic Information Systems (GIS) and SPSS statistical software were used for data analysis. The results show that most of the community facilities are randomly placed in the districts. Mosques are the closest facility to each resident with an average accessibility distance of 242m. Almost 43% of the respondents prefer daily walking while the rest are hesitant due to hot weather during summer and narrow and poorly designed sidewalks. The sidewalks were also found to be blocked by trees, street signals, and illegally parked vehicles. Future studies should explore the accessibility to facilities, willingness, climate, and health conditions of the residents, and the road and sidewalk conditions for walking in other cities of the Kingdom.

ACS Style

Muhammad Tauhidur Rahman; Kh Md Nahiduzzaman. Examining the Walking Accessibility, Willingness, and Travel Conditions of Residents in Saudi Cities. International Journal of Environmental Research and Public Health 2019, 16, 545 .

AMA Style

Muhammad Tauhidur Rahman, Kh Md Nahiduzzaman. Examining the Walking Accessibility, Willingness, and Travel Conditions of Residents in Saudi Cities. International Journal of Environmental Research and Public Health. 2019; 16 (4):545.

Chicago/Turabian Style

Muhammad Tauhidur Rahman; Kh Md Nahiduzzaman. 2019. "Examining the Walking Accessibility, Willingness, and Travel Conditions of Residents in Saudi Cities." International Journal of Environmental Research and Public Health 16, no. 4: 545.

Journal article
Published: 30 June 2018 in Journal of Settlements and Spatial Planning
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ACS Style

Muhammad Tauhidur Rahman. Examining and Modelling the Determinants of the Rising Land Surface Temperatures in Arabian Desert Cities: An Example from Riyadh, Saudi Arabia. Journal of Settlements and Spatial Planning 2018, 9, 1 -10.

AMA Style

Muhammad Tauhidur Rahman. Examining and Modelling the Determinants of the Rising Land Surface Temperatures in Arabian Desert Cities: An Example from Riyadh, Saudi Arabia. Journal of Settlements and Spatial Planning. 2018; 9 (1):1-10.

Chicago/Turabian Style

Muhammad Tauhidur Rahman. 2018. "Examining and Modelling the Determinants of the Rising Land Surface Temperatures in Arabian Desert Cities: An Example from Riyadh, Saudi Arabia." Journal of Settlements and Spatial Planning 9, no. 1: 1-10.

Journal article
Published: 07 April 2018 in Energy and Buildings
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The study aims to investigate the potential for rooftop application of solar PV in the residential sector of the Kingdom of Saudi Arabia (KSA) taking into account the two main types of buildings i.e. apartments and villas. It is the first detailed study in KSA which focuses on the utilizability of building rooftops considering various structural, services and cultural parameters. The work employs remote sensing and GIS techniques to gather the building rooftop data for a district in the city of Al-Khubar covering 33,000 residential units. The data was validated through site visits of sampled buildings and regression models were created to examine the relationships between PV areas and the roof areas in the study area. PVSOL software was then used to model the application of PV on building rooftops and to determine the impact of shading. Frequency of occurrence of hurdles impacting the application of PV has been determined. It is found that currently 21% and 28% of the respective apartment and villa rooftops can be effectively used for PV application. The total rooftops in the study area amounting to 14.21 km2 are estimated to annually deliver 796 GWh of PV electricity. The work also concludes that through policy intervention the utilizability of rooftops and subsequent power output can be increased by 22.5%. Owing to similarities in structural and architectural features, the regression models and the findings of the study can be used and applied to the building sectors across all of the countries in the GCC region.

ACS Style

Ammar H.A. Dehwah; Muhammad Asif; Muhammad Tauhidur Rahman. Prospects of PV application in unregulated building rooftops in developing countries: A perspective from Saudi Arabia. Energy and Buildings 2018, 171, 76 -87.

AMA Style

Ammar H.A. Dehwah, Muhammad Asif, Muhammad Tauhidur Rahman. Prospects of PV application in unregulated building rooftops in developing countries: A perspective from Saudi Arabia. Energy and Buildings. 2018; 171 ():76-87.

Chicago/Turabian Style

Ammar H.A. Dehwah; Muhammad Asif; Muhammad Tauhidur Rahman. 2018. "Prospects of PV application in unregulated building rooftops in developing countries: A perspective from Saudi Arabia." Energy and Buildings 171, no. : 76-87.

Proceedings article
Published: 20 June 2017 in 17th International Multidisciplinary Scientific GeoConference SGEM2017, Energy and Clean Technologies
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ACS Style

Muhammad Rahman. URBANIZATION AND AGRICULTURAL LAND USE CHANGES IN THE CITY OF AL-QATIF, SAUDI ARABIA. 17th International Multidisciplinary Scientific GeoConference SGEM2017, Energy and Clean Technologies 2017, 1 .

AMA Style

Muhammad Rahman. URBANIZATION AND AGRICULTURAL LAND USE CHANGES IN THE CITY OF AL-QATIF, SAUDI ARABIA. 17th International Multidisciplinary Scientific GeoConference SGEM2017, Energy and Clean Technologies. 2017; ():1.

Chicago/Turabian Style

Muhammad Rahman. 2017. "URBANIZATION AND AGRICULTURAL LAND USE CHANGES IN THE CITY OF AL-QATIF, SAUDI ARABIA." 17th International Multidisciplinary Scientific GeoConference SGEM2017, Energy and Clean Technologies , no. : 1.

Journal article
Published: 29 May 2017 in Land
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Over the past several decades, Saudi cities have experienced rapid urban developments and land use and land cover (LULC) changes. These developments will have numerous short- and long-term consequences including increasing the land surface temperature (LST) of these cities. This study investigated the effects of LULC changes on the LST for the eastern coastal city of Dammam. Using Landsat imagery, the study first detected the LULC using the maximum likelihood classification method and derived the LSTs for the years 1990, 2002, and 2014. Using the classified results, it then modeled the future LULC for 2026 using the Cellular Automata Markov (CAM) model. Finally, using three thematic indices and linear regression analysis, it then modeled the LST for 2026 as well. The built-up area in Dammam increased by 28.9% between 1990 and 2014. During this period, the average LSTs for the LULC classes increased as well, with bare soil and built-up area having the highest LST. By 2026, the urban area is expected to encompass 55% of the city and 98% of the land cover is envisioned to have average LSTs over 41 °C. Such high temperatures will make it difficult for the residents to live in the area.

ACS Style

Muhammad Tauhidur Rahman; Adel S. Aldosary; Golam Mortoja. Modeling Future Land Cover Changes and Their Effects on the Land Surface Temperatures in the Saudi Arabian Eastern Coastal City of Dammam. Land 2017, 6, 36 .

AMA Style

Muhammad Tauhidur Rahman, Adel S. Aldosary, Golam Mortoja. Modeling Future Land Cover Changes and Their Effects on the Land Surface Temperatures in the Saudi Arabian Eastern Coastal City of Dammam. Land. 2017; 6 (2):36.

Chicago/Turabian Style

Muhammad Tauhidur Rahman; Adel S. Aldosary; Golam Mortoja. 2017. "Modeling Future Land Cover Changes and Their Effects on the Land Surface Temperatures in the Saudi Arabian Eastern Coastal City of Dammam." Land 6, no. 2: 36.

Chapter
Published: 01 January 2017 in Interdisciplinary Approaches to Spatial Optimization Issues
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Immediately following a natural disaster, it is imperative to accurately assess the damages caused by the disaster for effective rescue and relief operations. Passive remote sensing imageries have been analyzed and used for over four decades for such assessments. However, they do have their limitations including inability to collect data during violent weather conditions, medium to low spatial resolution, and assessing areas and pixels on a damages/no damage basis. Recent advances in active remote sensing data collection methods can resolve some of these limitations. In this chapter, the basic theories and processing techniques of active remote sensing data is first discussed. It then provides some of the advantages and limitations of using active remote sensing data for disaster damage assessments. Finally, the chapter concludes by discussing how data from active sensors are used to assess damages from various types of natural disasters.

ACS Style

Muhammad Tauhidur Rahman. Applications of Active Remote Sensing Technologies for Natural Disaster Damage Assessments. Interdisciplinary Approaches to Spatial Optimization Issues 2017, 212 -227.

AMA Style

Muhammad Tauhidur Rahman. Applications of Active Remote Sensing Technologies for Natural Disaster Damage Assessments. Interdisciplinary Approaches to Spatial Optimization Issues. 2017; ():212-227.

Chicago/Turabian Style

Muhammad Tauhidur Rahman. 2017. "Applications of Active Remote Sensing Technologies for Natural Disaster Damage Assessments." Interdisciplinary Approaches to Spatial Optimization Issues , no. : 212-227.

Original paper
Published: 10 August 2016 in Natural Hazards
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In recent years, hazardous flash flooding has caused human deaths and damages to urban infrastructures in Saudi Arabian cities. This study has computed, mapped, and analyzed the physical vulnerability, social vulnerability, and overall composite flash flood vulnerability (CFVI) indices using a simulated flood and 2006 census data on seven social variables for 153 neighborhoods of the City of Riyadh, the capital of the Kingdom of Saudi Arabia. The physical vulnerability index was computed by ranking a potential flood depth map created by simulating a 6 h of high-intense rainfall in the city. The social vulnerability index was constructed by standardizing the social data variables. Finally, the two indices were multiplied to create the CFVI. The CFVI map revealed that the low-lying central and southern half of the city is highly vulnerable; northern and northeastern peripheral neighborhoods are moderately to highly vulnerable; and the mountainous western neighborhoods are the least vulnerable to flash flooding. Low-income and unemployed expatriate families living in densely populated central, south, and southeastern neighborhoods are more vulnerable to flooding than rich Saudi families living in the sparsely populated northern half of the central city, western, northwestern, and southwestern neighborhoods. The CFVI map will help city planners to formulate effective flood control measures to protect the city residents and urban infrastructures from future flood damage. This flood vulnerability research can be expanded to other Saudi cities by incorporating more physical and social variables.

ACS Style

Muhammad Tauhidur Rahman; Adel S. Aldosary; Kh Md Nahiduzzaman; Imran Reza. Vulnerability of flash flooding in Riyadh, Saudi Arabia. Natural Hazards 2016, 84, 1807 -1830.

AMA Style

Muhammad Tauhidur Rahman, Adel S. Aldosary, Kh Md Nahiduzzaman, Imran Reza. Vulnerability of flash flooding in Riyadh, Saudi Arabia. Natural Hazards. 2016; 84 (3):1807-1830.

Chicago/Turabian Style

Muhammad Tauhidur Rahman; Adel S. Aldosary; Kh Md Nahiduzzaman; Imran Reza. 2016. "Vulnerability of flash flooding in Riyadh, Saudi Arabia." Natural Hazards 84, no. 3: 1807-1830.

Journal article
Published: 24 June 2016 in ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The city of Riyadh, Saudi Arabia has experienced rapid population growth and urban expansion over the past several decades. Due to such growth, the capital city faces many short and long-term social and environmental consequences. In order to monitor and mitigate some of these consequences, it is essential to examine the past changes and historical growth of the city. It is also essential to measure its urban sprawl over the past few decades. The objective of this study is to fulfil these goals. It does so by first examining the historical growth of the city of Riyadh. To do so, Landsat data over the past two and half decades are classified using a combination of supervised and unsupervised classification techniques. Based on the classification results, the study then uses Shannon’s Entropy to measure the urban sprawl in the city. The results show that from 1990-2009, the urban built-up area of the city has increased by 90% in the western, south-eastern, and northern parts. The Shannon’s entropy values show that the city is dispersing towards the outskirts of the city. The results from this study will assist city planners and government officials to plan, reduce, and perhaps mitigate some of the social and environmental consequences and enable the growth of the city in a sustainable manner in the near future.

ACS Style

M. T. Rahman. LAND USE AND LAND COVER CHANGES AND URBAN SPRAWL IN RIYADH, SAUDI ARABIA: AN ANALYSIS USING MULTI-TEMPORAL LANDSAT DATA AND SHANNON'S ENTROPY INDEX. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2016, XLI-B8, 1017 -1021.

AMA Style

M. T. Rahman. LAND USE AND LAND COVER CHANGES AND URBAN SPRAWL IN RIYADH, SAUDI ARABIA: AN ANALYSIS USING MULTI-TEMPORAL LANDSAT DATA AND SHANNON'S ENTROPY INDEX. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2016; XLI-B8 ():1017-1021.

Chicago/Turabian Style

M. T. Rahman. 2016. "LAND USE AND LAND COVER CHANGES AND URBAN SPRAWL IN RIYADH, SAUDI ARABIA: AN ANALYSIS USING MULTI-TEMPORAL LANDSAT DATA AND SHANNON'S ENTROPY INDEX." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8, no. : 1017-1021.

Journal article
Published: 24 June 2016 in ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The city of Riyadh, Saudi Arabia has experienced rapid population growth and urban expansion over the past several decades. Due to such growth, the capital city faces many short and long-term social and environmental consequences. In order to monitor and mitigate some of these consequences, it is essential to examine the past changes and historical growth of the city. It is also essential to measure its urban sprawl over the past few decades. The objective of this study is to fulfil these goals. It does so by first examining the historical growth of the city of Riyadh. To do so, Landsat data over the past two and half decades are classified using a combination of supervised and unsupervised classification techniques. Based on the classification results, the study then uses Shannon’s Entropy to measure the urban sprawl in the city. The results show that from 1990-2009, the urban built-up area of the city has increased by 90% in the western, south-eastern, and northern parts. The Shannon’s entropy values show that the city is dispersing towards the outskirts of the city. The results from this study will assist city planners and government officials to plan, reduce, and perhaps mitigate some of the social and environmental consequences and enable the growth of the city in a sustainable manner in the near future.

ACS Style

M. T. Rahman. LAND USE AND LAND COVER CHANGES AND URBAN SPRAWL IN RIYADH, SAUDI ARABIA: AN ANALYSIS USING MULTI-TEMPORAL LANDSAT DATA AND SHANNON'S ENTROPY INDEX. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2016, XLI-B8, 1017 -1021.

AMA Style

M. T. Rahman. LAND USE AND LAND COVER CHANGES AND URBAN SPRAWL IN RIYADH, SAUDI ARABIA: AN ANALYSIS USING MULTI-TEMPORAL LANDSAT DATA AND SHANNON'S ENTROPY INDEX. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2016; XLI-B8 ():1017-1021.

Chicago/Turabian Style

M. T. Rahman. 2016. "LAND USE AND LAND COVER CHANGES AND URBAN SPRAWL IN RIYADH, SAUDI ARABIA: AN ANALYSIS USING MULTI-TEMPORAL LANDSAT DATA AND SHANNON'S ENTROPY INDEX." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8, no. : 1017-1021.

Journal article
Published: 06 February 2016 in ISPRS International Journal of Geo-Information
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While several studies examined land use and land cover changes in the central and western parts of Saudi Arabia, this study is the first to use remote sensing data to examine the decadal land cover changes in Saudi Arabia’s eastern coastal city of Al-Khobar between 1990 and 2013. Specifically, it utilized ISODATA classification method to classify Landsat TM, ETM+, and OLI data collected from 1990, 2001, and 2013 and then detected changes in the land cover within the study area. It then measured urban sprawl by calculating the relative Shannon’s entropy index values for the three years. With overall classification accuracies greater than 85%, the results show that urban built-up areas increased by 117% between 1990 and 2001 and 43.51% from 2001 to 2013. Vegetation increased by 110% from 1990 to 2001 and by 52% between 2001 and 2013. The entropy index values of 0.700 (1990), 0.779 (2001), and 0.840 (2013) indicates a high rate of urban sprawl and the city dispersing near the outskirts and towards the neighboring cities of Dhahran and Dammam. Future studies should examine the current challenges faced by the city’s residents due to urban expansion and attempt to find ways to resolve them in the near future.

ACS Style

Muhammad Tauhidur Rahman. Detection of Land Use/Land Cover Changes and Urban Sprawl in Al-Khobar, Saudi Arabia: An Analysis of Multi-Temporal Remote Sensing Data. ISPRS International Journal of Geo-Information 2016, 5, 15 .

AMA Style

Muhammad Tauhidur Rahman. Detection of Land Use/Land Cover Changes and Urban Sprawl in Al-Khobar, Saudi Arabia: An Analysis of Multi-Temporal Remote Sensing Data. ISPRS International Journal of Geo-Information. 2016; 5 (2):15.

Chicago/Turabian Style

Muhammad Tauhidur Rahman. 2016. "Detection of Land Use/Land Cover Changes and Urban Sprawl in Al-Khobar, Saudi Arabia: An Analysis of Multi-Temporal Remote Sensing Data." ISPRS International Journal of Geo-Information 5, no. 2: 15.

Journal article
Published: 01 January 2016 in Journal of Advances in Information Technology
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ACS Style

Nadim A. Jamali; Muhammad T. Rahman. Utilization of Remote Sensing and GIS to Examine Urban Growth in the City of Riyadh, Saudi Arabia. Journal of Advances in Information Technology 2016, 297 -301.

AMA Style

Nadim A. Jamali, Muhammad T. Rahman. Utilization of Remote Sensing and GIS to Examine Urban Growth in the City of Riyadh, Saudi Arabia. Journal of Advances in Information Technology. 2016; ():297-301.

Chicago/Turabian Style

Nadim A. Jamali; Muhammad T. Rahman. 2016. "Utilization of Remote Sensing and GIS to Examine Urban Growth in the City of Riyadh, Saudi Arabia." Journal of Advances in Information Technology , no. : 297-301.

Journal article
Published: 01 October 2015 in Habitat International
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ACS Style

Kh Md Nahiduzzaman; Adel S. Aldosary; Muhammad Tauhidur Rahman. Flood induced vulnerability in strategic plan making process of Riyadh city. Habitat International 2015, 49, 375 -385.

AMA Style

Kh Md Nahiduzzaman, Adel S. Aldosary, Muhammad Tauhidur Rahman. Flood induced vulnerability in strategic plan making process of Riyadh city. Habitat International. 2015; 49 ():375-385.

Chicago/Turabian Style

Kh Md Nahiduzzaman; Adel S. Aldosary; Muhammad Tauhidur Rahman. 2015. "Flood induced vulnerability in strategic plan making process of Riyadh city." Habitat International 49, no. : 375-385.

Journal article
Published: 01 January 2015 in Journal of Geographic Information System
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Environmental degradation is a burning issue in Bangladesh. The degradation process is extremely acute in the north-western part of Bangladesh due to many environmental and anthropogenic reasons. However, initiative of research work on this issue is very crucial and urgent for regional and local planning and management. In this paper, Nachole and Niamotpur Upazilas were considered as the study area to identify and quantify environmental degradation using an integrated Geographic Information System (GIS) and Remote Sensing (RS) technique. The results of the study reveal that the area is one of the most vulnerable areas in terms of land degradation that already affected local agriculture, biodiversity, water supply and overall socio-economic livelihoods. From the modelling results, about 66,301 hectares (90%) of land are vulnerable to land degradation, of which 24,736, 40,309 and 256 hectares of land were classified as severely, highly, and moderately vulnerable areas respectively. The overall image classification accuracy for all the resultant images was 95.40% while kappa coefficient was 0.94.

ACS Style

Shareful Hassan; Syed Mahmud-Ul-Islam; Muhammad Tauhidur Rahman. Integration of Remote Sensing and GIS to Assess Vulnerability of Environmental Degradation in North-Western Bangladesh. Journal of Geographic Information System 2015, 07, 494 -505.

AMA Style

Shareful Hassan, Syed Mahmud-Ul-Islam, Muhammad Tauhidur Rahman. Integration of Remote Sensing and GIS to Assess Vulnerability of Environmental Degradation in North-Western Bangladesh. Journal of Geographic Information System. 2015; 07 (05):494-505.

Chicago/Turabian Style

Shareful Hassan; Syed Mahmud-Ul-Islam; Muhammad Tauhidur Rahman. 2015. "Integration of Remote Sensing and GIS to Assess Vulnerability of Environmental Degradation in North-Western Bangladesh." Journal of Geographic Information System 07, no. 05: 494-505.

Journal article
Published: 01 January 2015 in Urban Forestry & Urban Greening
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ACS Style

Muhammad Tauhidur Rahman; Tarek Rashed. Urban tree damage estimation using airborne laser scanner data and geographic information systems: An example from 2007 Oklahoma ice storm. Urban Forestry & Urban Greening 2015, 14, 562 -572.

AMA Style

Muhammad Tauhidur Rahman, Tarek Rashed. Urban tree damage estimation using airborne laser scanner data and geographic information systems: An example from 2007 Oklahoma ice storm. Urban Forestry & Urban Greening. 2015; 14 (3):562-572.

Chicago/Turabian Style

Muhammad Tauhidur Rahman; Tarek Rashed. 2015. "Urban tree damage estimation using airborne laser scanner data and geographic information systems: An example from 2007 Oklahoma ice storm." Urban Forestry & Urban Greening 14, no. 3: 562-572.