Understanding relationship between road median type and accident frequency

Road medians play an important role in the design of four or more lanes highways with high traffic volume and the large number of accidents. This study focused on effect of factors (such as traffic volume, road characteristics, land use and road median types) on the number of accidents. The data was collected from nationwide highway, and further used to build the models by using Generalized linear with Negative binomial model distribution classified by road median types including raised-, depressed-, flush-and barrier median. The result found that the increase in traffic volume and truck ratio are positively associated with more number of accidents in all four road median model. The finding also recommends that raised-, depressed-and flush median should be implemented within agriculture and rural area in order to decrease crashes frequency. The contributions of this study could be used as guideline regarding highways median type implementation decision-making to enhance road safety in Thailand

Application of Analytical Hierarchy Process (AHP) and Fuzzy Multi-Attribute Decision-Making Approach (FMADM) in the Site Selection of Container Yard Terminal

ในการศึกษาครั้งนี้ได้ประยุกต์ใช้วิธีการ Fuzzy Multiple Attribute Decision Making Method (FMADM) บูรณาการวิเคราะห์ตามลำดับชั้น Analytical Hierarchy Process (AHP) วิธีค่าคะแนนฟัซซี่ (FUZZY Scoring) และการรวมค่าคะแนนโดยวิธี Simple Additive Weight (SAW) ในการหาค่าคะแนนความสำคัญของปัจจัยที่ซึ่งการตัดสินใจคัดเลือกสถานที่ตั้งสถานีขนส่งสินค้าคอนเทนเนอร์ ซึ่งผลการศึกษา พบว่า ผู้เชี่ยวชาญให้ค่าน้ำหนักความสำคัญของปัจจัยหลักด้านวิศวกรรมสูงที่สุด (0.490) รองลงมาคือปัจจัยหลักทางด้านเศรษฐกิจที่ค่าน้ำหนักความสำคัญ (0.325) และปัจจัยหลักทางด้านสิ่งแวดล้อมมีค่าน้ำหนักต่ำสุด (0.185) โดยความต้องการในการขนส่งสินค้าเป็นปัจจัยรองด้านวิศวกรรมที่มีความสำคัญสูงสุด มีค่าน้ำหนักเท่ากับ 0.212 และเมื่อทำการคำนวณค่าคะแนนโดยพิจารณาคุณสมบัติของที่ตั้งสถานีขนส่งสินค้าคอนเทนเนอร์กับค่าน้ำหนักปัจจัย สรุปได้ว่า สถานีหนองคายใหม่ (จังหวัดหนองคาย) และสถานีทุ่งโพธิ์ (จังหวัดสุราษฎร์ธานี) เป็นพื้นที่สถานีที่มีศักยภาพสูงสุดสำหรับเสนอเป็นพื้นที่ก่อสร้างสถานีขนส่งสินค้าคอนเทนเนอร์ในลำดับแรก ซึ่งได้ค่าคะแนน เท่ากับ 0.799 และ 0.781 ตามลำดับThis study applied the Fuzzy Multiple Attribute Decision-Making Method (FMADM) to integrate the Analytical Hierarchy Process (AHP), Fuzzy Scoring, and Simple Additive Weight (SAW) together in order to determine the weights of the important factors behind the site selection of the container yard terminal. The study showed that the experts gave the highest weight to the engineering factor (0.490), followed by the economic factor, with the weight of 0.325 whereas the environmental factor was given the lowest weight of 0.185. The demand for transportation of goods was the second highest factor in terms of engineering, with the weight given at 0.212. When the scores were calculated by considering the characteristics of the location of containers yard against the factor weights, it could be concluded that the new Nongkhai Station in Nongkhai Province and Thung Pho Station in Surat Thani Province are the stations that have the highest potentialities to be proposed as the first priorities for the construction of the container yard terminal; with the weights of 0.799 and 0.781, respectively

Impacts of urban transit system development on modal shift and greenhouse gas (GHG) emission reduction: A Khon Kaen, Thailand case study

The objectives of this study are: (1) to apply an Urban Transport Planning Model (UTPM) to predict the current and future travel demand characteristics in Khon Kaen City (KKC), and to determine the potential GHG emission reductions as a result of implementing a complete mass transit system consisting of five lines, and (2) to evaluate the proposed scenarios along with some recommendations in terms of policy implications. Four-step UTPMs were developed and applied to predict the travel demands. Consequently, a bottom-up 2 approach was adopted to project the GHG emissions resulting from each established scenario in the years 2016 through 2046. The proposed five-line mass transit system was compared with the baseline (no-project). The results showed that the proposed project would likely cause a shift from private modes of transportation (motorcycles (MC) and passenger cars (PC)) to public transport (PT) over the projected time period (30 years). It could also improve the traffic and transport conditions in the study area by reducing the Vehicle Kilometers of travels (VKT), Vehicle Hours of travels (VHT), Volume-to-Capacity (V/C) ratio values, increase the average travel speed and reduce CO2 emissions. However, the impact of PT transport development is still limited

Prediction of CO concentrations from road traffic at signalized intersections using CAL3QHC model: the Khon Kaen case study

Based on the US EPA air pollution model, CAL3QHC version 2.0 was applied to predict carbon monoxide (CO) concentrations from road traffic at three signalized intersections in Khon Kaen province. Four data groups required by the model, namely site parameters, traffic parameters, meteorological parameters and emission parameters were collected at each intersection and have been used as the inputs to the model. The prediction results were compared to the measurement. The results showed that the predicted CO concentration variations corresponding mostly to the measurement except at some hours when there was not good agreement due to an extreme upwind location of receptor, low wind speed, raining period, other out-sources of CO concentration such as another near intersection and parking lot. However, this study shows that the CAL3QHC model can be applied to predict CO concentration in the environmental condition of Thailand quite well. Moreover, the model might be used as a tool for assessing traffic air pollution at roadway intersection as well as for air quality management

Analyzing transport mode choice for aging society in Thailand

This research aims to study the factors affecting elder’s transportation mode selection by considering 4 transportation types including bicycle or motorcycle, car and public transportation (which includes bus, taxi, and public motorcycle) in accordance with common transportation types in Thailand. The methodology used for analysis was a multinomial logistic regression of which independent variable was nominal scale and using a car to be the base model compared to the elderly people’s change of transportation mode for result interpretation. The study results concluded the common characteristics of aging mobility that travel frequency is less than once a week, travel time is the morning, and most of activities is shopping. The private car transportation should be improved for the convenience. In addition, motorcycle and bike lanes should be developed for serving aging people due to their less income, and travel time use which is less than 30 minutes. Furthermore, public transportation should be also enhanced to accommodate their travel activities such as going to the hospital, and shopping