• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.231-240
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• 2023

Purpose: The purpose of this study is to analyze air quality and carbon emissions in developing countries, particularly Myanmar, and explore the impact of transportation on CO2 emissions during peak hours relative to free-flow conditions. Method: This study conducted a traffic survey in two major cities in Myanmar to quantify carbon dioxide emissions from the transportation sector, using IPCC's tier 1 and tier 2 approaches, with statistical analysis performed using Python 3 and Microsoft Excel for comparative analysis of critical factors in CO2 emissions. Result: The result of this study is an estimate of the vehicle kilometers traveled (VKT) and fuel consumption in Yangon city for the year 2019, based on data from various sources including the Myanmar Statistical data base, YUTRA project survey, and Ministry of Electric and Energy. The study also analyzes the average travel time index (TTI) for the four roads in Yangon, which indicates the impact of congestion on vehicle travel time and CO2 emissions. Overall, the study provides important insights into the transport sector in Yangon city and can be used to inform policies aimed at reducing greenhouse gas emissions and improving traffic conditions. Conclusion: The study concludes that congestion plays a significant role in increasing fuel use and emission levels in the road transport sector in Myanmar. The analysis provides valuable insights into the impact of the sector on the environment and emphasizes the importance of addressing congestion to reduce fuel use and emissions. However, the study's scope is limited to Yangon city and Mandalay city, and some mean values may not accurately represent the entire country and other developing countries.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.4
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• pp.145-166
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• 2023

The ongoing COVID-19 pandemic has led to a widespread shift towards non-face-to-face/uncrewed services in various sectors of society. Despite this, research on the digital divide has focused predominantly on analyzing various factors, with the notable absence of studies addressing the digital divide. Therefore, study examined the current digital divide in the transportation sector through a survey-based approach. First, a nationwide survey was conducted among adult men and women to assess their digital device usage. Vulnerable groups sesceptible to digital disparities were identified based on factors such as age, education, and income. Second, comparative analysis was conducted to examine the usage patterns of mobile applications related to the transportation sector among the vulnerable and non-vulnerable groups using chi-squared test. These findings suggest that the vulnerable group exhibited lower awareness and preference for mobile applications, a significantly lower frequency of application usage than the non-vulnerable group. Finally, a comparison of the proficiency in utilizing transportation sector mobile applications was conducted, showing that the vulnerable group demonstrated a significantly lower level of proficiency across all aspects of application usage procedures compared to the non-vulnerable group. These survey results provide a valuable foundation for future policy formulation to reduce the digital divide in the transportation sector. By highlighting the current state of digital disparities, the research contributes to developing evidence-based strategies to enhance inclusivity and equal access to digital services in tjwtransportation.

• The Journal of Asian Finance, Economics and Business
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• v.2 no.3
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• pp.41-46
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• 2015

Energy saving in the transport sector in the framework of the annual growth of energy consumption, the degree of negative impact on the environment and the amount of harmful emissions are becoming increasingly important. The article considers the world tendencies of energy consumption in transportation sector and emphasizes its dependency from oil. Also article describes the dynamics of energy use and CO₂ emissions from transport of city Almaty. In conclusion authors identify a number of problems in the transport sector, which hinder the implementation of energy efficiency measures and measures to reduce CO₂ emissions.

• Journal of Climate Change Research
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• v.1 no.3
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• pp.211-217
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• 2010

Off-road transportation sector including construction equipment, ground support equipment in airport, cargo handling equipment and agroforestry machinery have not calculated as emission source classification in 1A3e2. In this study, the statistics of oil consumption for construction, aviation, shipping and agroforestry are separated for this sector by oil type. And the greenhouse gas emission by off-road transportation emission factor in 1996 & 2006 IPCC Guidelines are calculated and compared with each other. As a result, the nationwide $CO_2$ equivalent emission from off-road transportations by the emission factor of 1996 & 2006 IPCC Guidelines are calculated as 4,919 kton/yr and 5,530 kton/yr in 2007. The contribution ratio of off-road transportation emission by this study is estimated as 5.5% to the subtotal emission from on-road transport sector.

• Journal of Korean Society of Transportation
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• v.30 no.2
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• pp.117-126
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• 2012

The transportation sector accounts for 33% of the total $CO_2$ emissions. Effective control measures for reducing $CO_2$ emissions are urgently needed to address global warming. Objective and reliable methods to estimate $CO_2$ emissions are a prerequisite for the implementation of such effective control measures. However, existing models have not been successful. Even though the average-speed model is one of the most convenient and useful methods for estimating $CO_2$ emissions, it cannot distinguish between a variety of roads as well as traffic conditions in the model. The results of this study found that there may be significant discrepancies between emissions estimated by the current average-speed model and those measured in real driving conditions. This paper proposed the subdivision of emission factors in the average-speed model depending on both traffic and road conditions.

• Journal of Korea Port Economic Association
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• v.37 no.4
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• pp.103-126
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• 2021

The purpose of this study is described in detail as follows. First, I would like to define what digital transformation is in the maritime transport sector. Second, it is intended to derive success factors for digital transformation in the maritime transportation field by examining various preceding studies related to digital transformation. Finally, in order to derive priorities for the derived success factors, an AHP analysis model is built and an expert survey is conducted for practical experts in the maritime transportation field. Based on the survey results, we would like to provide guidelines on what factors should be considered first among the success factors of digital transformation in the maritime transportation sector. In this study, in order to derive the priority of success factors for digital transformation in the maritime transportation field, the hierarchical structure was divided into four high-level evaluation items(strategic factors, organizational culture and human factors, technology factors, and environmental factors) and 21 sub-evaluation items. A relative evaluation method of weighting items among AHP(Analytic Hierarchy Process) was applied. AHP analysis of 24 questionnaires with a consistency ratio of 0.1 or less in order to increase the accuracy of information among questionnaires collected through maritime transportation related university professors, research groups, shipping companies, container terminals, and experts engaged in shipping related IT companies was carried out. As a result of the analysis, the priority of the first-tier factors for the success factors of digital transformation in the maritime transport sector was shown in the order of strategic factors, organizational culture and human factors, technology factors, and environmental factors. In addition, when looking at the priorities of 21 detailed items, it was found that the development of new business models, the creation of an active future digital strategy, and the leadership of the chief digital officer were high.

• Proceedings of the KOR-KST Conference
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• 2007.11a
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• pp.239-248
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• 2007

• Transportation Technology and Policy
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• v.7 no.4
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• pp.81-87
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• 2010

• Journal of Korea Port Economic Association
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• v.22 no.2
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• pp.35-60
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• 2006

This paper uses input-output techniques to analyze the impacts of the coastal and inland water transportation (CIWT) upon the Korean economy between 1990 and 2000. The impacts were identified by means of backward and forward linkages effects, production inducing and import-inducing effects, and commodity prices repercussion effects of the coastal and inland water transportation. The data of this study come from The Bank of Korea databases for Input-Output Structure of the Korean economy. The major findings in this study can, among others, be summarized: that the power of dispersion(=backward linkage effect) and the degree of sensitivity (=forward linkage effect) of CIWT are higher than those of the deep sea transportation sector and that it has higher production-inducing effect than the average of total industries, while it has lower import-inducing effect than the average of total industries.

• Journal of Climate Change Research
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• v.6 no.4
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• pp.291-302
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• 2015

Vulnerability due to climate change depends on the concentration of carbon dioxide emissions over several upcoming decades. The objective of this study is to estimate the concentration of greenhouse gases and air pollutants in 2100, while also accounting for expected socio-economic changes in Korea. First, we intend to prepare scenarios for possible socioeconomic changes in Korea: business as usual (BAU), high growth and low growth. Secondly, we aim to predict services demands in residential?commercial sector, transportation sector, industrial sector for each scenarios. Finally, the emissions of LLGHG and SLCP will be estimated on the basis of the predicted service demands. The study results project that in Korea, LLGHG emissions will be approximately $660Mt\;CO_2\;eq$. and SLCP emissions will be approximately 3.81 Mt, -including black carbon (BC) by 2100. The transportation and industrial sectors are the major source for LLGHG emissions, and the residential and commercial sector serve as the SLCP source. Later, additional studies on the cost and benefit of mitigation should be carried out by comparing the reduced use of materials that cause climate change as a result of reduction policies and the socioeconomic cost.