The presence of marine clay in Iskandar Malaysia Region, Nusajaya had caused expensive solutions in the construction of structures and roads. Alternatively, soil treatment is suggested to increase the strength of the unsuitable material to meet the constructions requirement for foundation and also to achieve the specifications for development work. In this study, a series of laboratory test has been conducted to determine the potential of Biomass Silica (BS), one of the commercial brands namely “SH-85” to stabilize marine clay to form the basis of a strong, reliable land for construction of roads and building. Testing program involves obtaining specimens of marine clays from various locations at Iskandar Malaysia Region, followed by laboratory tests to determine the Atterberg limits and Unconfined Compressive Strength (UCS) for treated and untreated of marine clay soils. The proportions of BS added were 3, 6, 9, 12 and 15% and tested at 0, 3, 7 and 28 days curing periods. The results shows that the Plasticity Index (PI) was reduce with increment of BS content. While, an addition of BS content increase in strength treated soils 60 times more than untreated soils, which is gain in early 7 curing days period. This finding indicates the BS is a suitable stabilizer for the marine clay to become strong foundation for construction of road and building.

This study describes driver’s car following headway on multilane highways.  The aim of this study is to analyse the driver’s car following headway along multilane highway at four selected locations.  The objectives of this study were to determine car headway at Jalan Batu Pahat – Ayer Hitam multilane highway and to develop linear regression models to present the relationships between headway and speed.  Videotaping method was used in field data collection during peak hours.  Data were extracted from recorded video by using the image processing technique software.  The distance headways and associated vehicles speeds were classified into vehicle following category by vehicle type: car following car, car following heavy goods vehicle, heavy goods vehicle following heavy goods vehicle and heavy goods vehicle following car categories.  Linear regressions models were used to develop the relationships between headway and speed. Based on all headway distribution, it is found that patterns of the vehicle headways at four study locations were similar, which shown a significant number of the vehicles travel at headways less than 5 seconds.  Furthermore, it can be concluded that many drivers tend to follow the vehicles ahead closely on multilane highways.  The regression models were significantly reliable based on their R-square values which are ranging between 0.80 and 0.95.  From the analysis, cars were found to maintain larger headways when following heavy goods vehicles compare to when following other cars.

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The shoreline is the boundary between land and sea. The shoreline has an irregular nature and change due to tidal conditions. Shoreline changes occur due to human activity and natural environment that results in eradication of erosion and sediment in the shoreline. UAV as a tool used to identify the shoreline change. However, the measurement of large-size reclaimed land using terrestrial survey methods, such as total station and GPS requires a huge number of efforts in terms of time and labour spending. Although, the current method is good in airborne sampling, however it is quite expensive and more complicated to handle. The objectives of this study is to identify the shoreline change from the image taken by using Unmanned Aerial Vehicle (UAV) and to analyse the data using pix4Dmapper and Global Mapper. Planning flight plans for UAV is necessary in this study. The shoreline changes are visibly clear during low tide from July to October 2018. Total length of erosion for three months from July to October 2018 is 8.428 m. Since the aim of this study was successfully achieved, using UAV photogrammetry could be applied in many fields and in determining and identifying the shoreline change.

The landscape of transportation services has changed for the better since the introduction of e-hailing companies. In general, e-hailing applications on smartphones can assist users in performing the following tasks; 1) locate taxis available; 2) allow drivers to identify passengers who require taxi services; 3) book a taxi; 4) allow drivers to receive taxi bookings; and 5) make payment online. It is easy to install e-hailing applications on any type of mobile device. Nevertheless, it is crucial to assess the efficiency of e-hailing applications as they are still new to the market. The efficiency of the system can be evaluated through the factor that contributed to the adoption of e-hailing. Thus, this study aims to investigate the factors that influence the passengers’ towards the use of e-hailing services. The independent variables of this research are trustable, comfort, promotion and coupon redemption and fare; and the dependent variable is the passengers’ perception. A survey was conducted among e-hailing users in Kuala Lumpur, the capital of Malaysia. With the use of a survey questionnaire, 107 targeted respondents provided valuable feedback. The surveys were carried out by boarding e-hailing passengers’ on working days. Therefore, the respondent population corresponds to all types of e-hailing passengers’ in the city. The survey consisted of two parts; the first part contains general questions about gender, age, ethnic, employment, gender and frequency of usage. The second part is the major part of the questionnaire which consists of travel attributes. In previous literature, most relevant studies show that factor that influences the passengers to use the e-hailing services were found to be trustable, comfort, promotion and coupon redemption and fare. Therefore, the questionnaire has been built according to those significant factors. The correlation analysis was used to identify the relationship between independent variables and dependent variable. Through the results obtained, the linear regression shows that the trustable, comfort, promotion, and coupon redemption and fare provided a positive significant association with the factor that influences the passengers’. Among the variables studied, comfort shows the most significant factor in passengers’ satisfaction towards e-hailing services in Malaysia with Cronbach’s Alpha of 0.892. In conclusion, this study shows some important information and provide benefits particularly to e-hailing services company to be more competitive in this industry by understanding the needs and concerns of passengers’ when they adopt the e-hailing services.