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Evaluation of various GIS-based methods for the analysis of road traffic accident hotspot

M. M. ZahranEl-Said, Tan Soon Jiann, Nurul Amirah ’Atiqah Binti Mohamad ’Asri Putra, Eng Hie Angel Tan, Yok Hoe Yap, Ena Kartina Abdul Rahman

In order to establish objective criteria for road traffic accident (RTA) hotspots, this paper examines the application of three different hotspot analysis methods to both identify and rank the RTA hotspots. The three methods selected are the network Kernel Density Estimation (KDE+) method, the Getis-Ord GI* method, and a recently proposed risk-based method that accounts for RTA frequency, severity...

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Forest Fire Risk Assessment Using Hotspot Analysis in GIS

Safwanah Ni’matullah Binti Mohd Said, El-Said Mamdouh Mahmoud Zahran, Shahriar Shams

Background: Present intensifying forest fire incidents are becoming a major concern as they pose threats to the environment, economy and human’s safety. This paper aims to identify forest fire hotspots using advanced hotspot analysis in the Geographical Information Systems (GIS), and suggest appropriate preventive measures. Objective: Brunei Darussalam is one of the Southeast Asian countries th...

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A novel approach for identification and ranking of road traffic accident hotspots

El-Said M.M. Zahran, Soon Jiann Tan, Yok Hoe Yap, Ena K.A. Rahman, Nurulhikmah H. Husaini

Road Traffic Accidents (RTA) are known to be one of the main causes of fatalities worldwide. One usef ul approach to improve road safety is through the identification of RT A hotspots along a road, so they can be prioritised and treated. This paper introduces an approach based on Geographical Information System (GI S) to identify and prioritise RTA hotspots along a road network using historical RT...

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A Mathematical Approach to Enhance the Performance of Air Pollution Models

El-Said Mamdouh Mahmoud Zahran

The main objective of this chapter is to introduce a mathematical method for enhancing the correctness of the output results of air pollution dispersion models via the calibration of input background concentrations. For developing this method, an air pollution model was set up in ADMS‐Roads for a study area in the City of Nottingham in the UK. The method was applied iteratively to the input backgr...

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The Influence of an Advanced Amber Warning System on Driver Behaviour in Brunei Darussalam

Noor ‘Ain Md. Jamudin, Soon Jiann Tan, Shiaw Yin Yong, Ena Kartina Abdul Rahman, El-Said Mamdouh Mahmoud Zahran

In Brunei Darussalam, an advanced amber warning system, known as the 'Prepare to Stop' (PTS) signals, are typically placed between 50 and 100 m from the stop-line along the junction's approach. The purpose is to reduce dilemma zone problems, instances of abrupt braking at red-light and reduce red-light running (RLR). This paper investigates the effectiveness of the PTS signals implemented on appro...

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Rides for Rewards (R4R): A Mobile Application to Sustain an Incentive Scheme for Public Bus Transport

Nyuk Hiong Voon, Siti Noora’zam Haji Abdul Kadir, Matius Belayan, Benedict Sheung Hung Poon, El-Said Mamdouh Mahmoud Zahran

Bus transit is not popular in Brunei partly due to high ownership of private cars and this will lead to severe traffic congestion in the future. This paper discusses the design of a mobile application to sustain an incentive scheme for public bus transportation in Brunei. It supports a case study on whether an incentive scheme has impact to increase bus transit ridership under the prevailing trans...

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