การศึกษาปัจจัยที่มีผลต่อยอดจำหน่ายน้ำมันเชื้อเพลิงของสถานีบริการน้ำมันกรณีศึกษาจังหวัดนครราชสีมา

The objective of this research to develop models for fuel sale of a gas station and proportion of fuel sale to various vehicle types in order to estimate vehicle kilometers of travel. This study randomly selected 31 gas stations in Nakhon Ratchasima province. The fuel sale models were developed using multiple linear regression to find a relationship between fuel sale of a gas station with physical conditions, the location vehicles passing station. The final models have coefficient of determinant (R2) of 0.512 and 0.280 for gasoline and diesel groups, respectively. Factors influencing gasoline sale of a gas station include the number of gasoline nozzles, the distance from the gas station to CBD and road density. For diesel group, factors include the distance from the gas station to CBD and the percentage of heavy vehicle passing gas stations. For the proportion of fuel sale to various vehicle types, multinomial logit models were developed. The final models have likelihood ratio index (ρ2) of 0.290 and 0.405 for gasoline and diesel, respectively. The benefit of the study is to estimate vehicle kilometer of travel (VKT) for various vehicle types in Nakhon Ratchasima which will be useful for transport-related energy planning in the future

Departure Time Choice (DTC) Behavior for Intercity Travel during a Long-Holiday in Bangkok, Thailand

Time-of-day (TOD) or departure time choice (DTC) has become an interesting issue over two decades. Many researches have intensely focused on time-of-day or departure time choice study, especially workday departures. However, the travel behavior during long-holiday/intercity travel has received relatively little attention in previous studies. This paper shows the characteristics of long-holiday intercity travel patterns based on 2012 New Year data collected in Thailand with a specific focus on departure time choice of car commuters due to traffic congestion occurring during the beginning of festivals. 590 interview data were analyzed to provide more understanding of general characteristics of DTC behavior for intercity travel at the beginning of a Bangkok long-holiday. Moreover, the Multinomial Logit Model (MNL) was used to find the car-based DTC model. The results showed that travelers tend to travel at the peak period when the parameters of personal and household are not so significant, in contrast to the trip-related characteristics and holiday variables that play important roles in traveler decision on departure time choice. Finally, some policies to distribute travel demand and reduce the repeatable traffic congestion at the beginning of festivals are recommended. Document type: Articl

Accessibility and mode-destination choice decisions: exploring travel in three neighborhoods in Puget Sound, WA

Despite the popularity of the neotraditional development concept, attempts to investigate the effectiveness of various mixed-use core (MUC) designs in terms of induced localized walking trips are rare. In this study, we use the logsum measure of accessibility derived from a random utility model to investigate how neighborhood design and regional setting affect mode and destination choices for shopping and how these effects vary by income and day of week. We then use the random utility model to simulate changes in the design configuration of the neighborhood MUC and evaluate the effects of the changes on within -neighborhood-accessibility and travel-decision parameters. Our results provide insight on how traditional neighborhood residents choose destinations and modes for their shopping travel and how the geometric design of the MUC can affect travel decisions. We found that local and regional accessibility have interrelated effects on the choice decisions of traditional residents , which results in variations in travel decisions over neighborhood space. In addition, these variations appear even after controlling for income groups and day of week. In simulations evaluating the effectiveness of alternative MUC designs, we find that the optimal MUC design is the one that maximizes proximity to all residential locations in the neighborhood. That is, MUC designs that are confined to the center of the neighborhood are less effective in inducing within -neighborhood shopping.

รายงานการวิจัยการศึกษาการเปลี่ยนแปลงคุณลักษณะการไหลจราจร ณ บริเวณทางแยกสัญญาณไฟ จากการติดตั้งอุปกรณ์นับเวลาถอยหลังประกอบสัญญาณไฟ

Suranaree University of Technolog

Exploring impacts of countdown timers on traffic operations and driver behavior at a signalized intersection in Bangkok

This study aims to explore the impact of the countdown timer at various stages of the signal cycle, using two approaches: a traffic analysis and a public opinion survey conducted in Bangkok. The traffic analysis made a comparison of traffic characteristics during an off-peak day time at a selected intersection when the countdown timer was in operation against when it was switched off. A public opinion survey was conducted on more than 300 local regular drivers who are familiar with the technology. It was found that the presence of the countdown timers at the intersection would help to reduce the start-up lost time at the beginning of the green phase by 22%, and reduce the number of red-light violations during the beginning of the red phase by 50%. Furthermore, more than half of the local drivers reported that the timers help to relieve the frustration caused by stopping for uncertain amounts of time during the red phase. However, the timer was also found to slightly reduce the saturation flow rate during the green phase. The public opinion survey showed that the majority of the local drivers were favorable towards the system, and would support the municipality installing such devices on the street network.Countdown timers Start-up lost time Saturation flow rate Red-light violations Driver frustration

Departure Time Choice (DTC) Behavior for Intercity Travel during a Long-Holiday in Bangkok, Thailand

Time-of-day (TOD) or departure time choice (DTC) has become an interesting issue over two decades. Many researches have intensely focused on time-of-day or departure time choice study, especially workday departures. However, the travel behavior during long-holiday/intercity travel has received relatively little attention in previous studies. This paper shows the characteristics of long-holiday intercity travel patterns based on 2012 New Year data collected in Thailand with a specific focus on departure time choice of car commuters due to traffic congestion occurring during the beginning of festivals. 590 interview data were analyzed to provide more understanding of general characteristics of DTC behavior for intercity travel at the beginning of a Bangkok long-holiday. Moreover, the Multinomial Logit Model (MNL) was used to find the car-based DTC model. The results showed that travelers tend to travel at the peak period when the parameters of personal and household are not so significant, in contrast to the trip-related characteristics and holiday variables that play important roles in traveler decision on departure time choice. Finally, some policies to distribute travel demand and reduce the repeatable traffic congestion at the beginning of festivals are recommended

Projection of future transport energy demand of Thailand

The objective of this study is to project transport energy consumption in Thailand for the next 20 years. The study develops log-linear regression models and feed-forward neural network models, using the as independent variables national gross domestic product, population and the numbers of registered vehicles. The models are based on 20-year historical data between years 1989 and 2008, and are used to project the trends in future transport energy consumption for years 2010-2030. The final log-linear models include only gross domestic product, since all independent variables are highly correlated. It was found that the projection results of this study were in the range of 54.84-59.05 million tonnes of oil equivalent, 2.5 times the 2008 consumption. The projected demand is only 61-65% of that predicted in a previous study, which used the LEAP model. This major discrepancy in transport energy demand projections suggests that projects related to this key indicator should take into account alternative projections, because these numbers greatly affect plans, policies and budget allocation for national energy management.Transportation energy consumption Neural network Log-linear model

Travel behavior of university students who live on campus: A case study of a rural university in Asia

With their irregular class schedules and considerable freedom in the campus environment, university students are an example of a social group that tends to have complex and unique travel behavior. This study examined travel patterns of 130 students who study and live on campus in a rural university of Thailand. All survey participants completed a travel diary for seven consecutive days in a typical school week. Other than overall travel patterns, such as trip generation, mode split, distance traveled, and travel time, this study also investigated the differences in traffic patterns of four student groups, categorized by their gender and whether they own a private vehicle or not. It was found that students of both genders appeared to have similar travel patterns in all aspects. Whether they own a private vehicle does not appear to impact daily trip generation nor the total distance traveled of the students, but it does have an effect on the travel modes used by students. Those students who own a private vehicle mostly rely on driving the vehicle, while those who do not own a vehicle rely on three modes of travel: primarily being a passenger on or in a friend's private vehicle, and to a lesser extent, driving a friend's vehicle, and taking a bus (the only form of public transport on the campus). The results indicate a high social interdependency among university students, which makes the development of a model to simulate travel behavior of university students a complicated task.University students Rural university Distance of travel Trip generation Mode split

Causality analysis of diesel consumption and economic growth in Cameroon

a b s t r a c t This study examines the causal relationship between diesel consumption and economic growth in Cameroon by using a three-step modern time-series technique. Tests for unit roots, cointegration, and Granger-causality based on error correction model are employed on annual data covering the period . Empirical results of the study confirm the presence of a long-run equilibrium relationship between diesel consumption and economic growth. The error correction model shows that an estimated 1% increase in economic growth causes a rise in diesel consumption of 1.30% in the longrun. The overall results show that there exists bidirectional causality in the long-run relationship and no causality in the short-run relationship between diesel consumption and economic growth at the 5% level of significance. Thus, the energy policies in Cameroon should place priority on the discovery of new oil field and building capacity additions of the refinery to increase production of petroleum products, as this would propel the economic growth of the country

How vehicle ownership affect time utilization on study, leisure, social activities, and academic performance of university students? A case study of engineering freshmen in a rural university in Thailand

This study aims to investigate how the ownership of a private vehicle influences time utilization of university students, and whether it impacts their academic performance. This research analyzes travel/activity patterns of 130 engineering freshman students at a rural university in Thailand. An analysis of travel/activity data shows that vehicle ownership seems to play an important role in university student's time utilization on various activities. It was found that those students who own a vehicle tend to spend less time for academic purposes, and more on leisure and social activities than non-owner students. Nevertheless, a further study using regression analysis on academic performance shows that the ownership of a vehicle does not seem to have a significant impact on the grade point average of students, once the cognitive ability and gender are accounted for. The findings imply that campus policies/measures that restrict the ownership or usage of a private vehicle in rural universities would improve the campus learning environment by influencing university students to put more attention on school-related activities, but such policies do not seem to impact on the academic performance of the college students.Vehicle ownership University student Grade point average Time utilization Activity scheduling