CO 2 Reduction Perspective in Thailand’s Transport sector towards 2030

Pita, Piti; Chunark, Puttipong; Limmeechokchai, Bundit

doi:10.1016/j.egypro.2017.10.175

Cited by 10 publications

(5 citation statements)

References 1 publication

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“…Even the rail that runs on fossil fuel-based electricity is carbon intensive. In Thailand, the transport sector is one of the major emitters of CO 2 along with the power and industrial sector [4,5]. As a result, the government of Thailand targets to reduce greenhouse gas emissions by 2030 to a level of 75% to 80%, as compared to current levels [6].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Travel Demand for Bangkok–Chiang Mai Hyperloop Using Traveler Surveys

Agrawal

Pravinvongvuth

2021

Sustainability

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Hyperloop, projected as fast and efficient, and envisaged as the future of high-speed transportation, does not have much published information about its demand estimation. This paper aims to estimate the willingness of air and car passengers to shift to hyperloop. A nested logit model was used to analyze stated preference data gathered from the air and car travelers along the Bangkok–Chiang Mai sector in Thailand. The variables contributing the most to the modal shift towards hyperloop are total travel cost, total travel time, monthly income, gender, education level, bearer of trip expenses, and number of trips in the last 6 months and duration of stay at the destination. The highest value of elasticity for hyperloop is obtained for the total travel cost followed by total travel time and monthly income. It is concluded that hyperloop will be the predominant mode of transportation between the Bangkok–Chiang Mai sectors with a modal share of almost 50% by the year 2025. Survey results also revealed that the preferences of the passengers in order of priorities for long distance travel are comfort, low travel cost, less travel time, safety, high frequency of travel mode and low CO2 emission. The main contribution of this paper is to provide an insight on factors that may contribute towards a possible shift in mode from car and air to hyperloop. The study will be beneficial to policy makers in developing a strategy for a more efficient mass transportation system using new and emerging technologies.

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Section: Introductionmentioning

confidence: 99%

Estimation of Travel Demand for Bangkok–Chiang Mai Hyperloop Using Traveler Surveys

Agrawal

Pravinvongvuth

2021

Sustainability

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“…In fact, the global transport sector was responsible for 31,310 TWh of energy consumption and around 14% of global greenhouse gas (GHG) emissions in 2015 and the demand for this is expected to increase by 260% in 2050 [1,2]. In Thailand, the rapid growth of private vehicles has contributed to emissions as the transport sector emits 59.58 MtCO 2 eq or 26.92% of the energy sector in 2013 [3]. The increased amount of burning fossil fuel inside the vehicle's engine will lead to the emissions of carbon dioxide and other harmful gasses into the atmosphere.…”

Section: Introductionmentioning

confidence: 99%

“…However, major arterial and connecting roads in Bangkok still suffer from the congestion which requires more effort in promoting the use of public transport. In 2017, Pita et al [3] stated that public transport would be essential in relieving congestion and meeting Thailand's policy of reducing greenhouse gas emissions to 20-25% by 2030. It has many benefits for the health and development of cities and people [9].…”

Section: Introductionmentioning

confidence: 99%

Influential Factors Affecting Travelers’ Mode Choice Behavior on Mass Transit in Bangkok, Thailand

et al. 2020

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Increasing use of single or fewer occupant vehicles has increased traffic congestion and transport-related emissions. Public transport as mass transit options are increasingly being encouraged amongst travelers to use, as this is an influential strategy to improve the transport network performance. This paper presents a study based on a revealed preference survey conducted on a random sample of 4467 respondents to understand the influential factors affecting the users’ choice of mass transit in Bangkok, Thailand. This study identified an inversely proportional relationship of socio-economic and spatial attributes on public transport mode choice. The binary logit model was employed to compare the utility of private vehicles and mass transit modes. The results showed that gender, age, average income, auto ownership, total travel cost in private transport, total travel time in public transport and distance range from home to mass transit station were the factors that influenced travelers’ mode choice behavior. Moreover, to ascertain the effects of explanatory variables which influence the likelihood of Thai travelers, another binary logit model analysis was utilized by the four distance ranges condition. The studied results showed that there were few significant differences in the propensity to use mass transit. Due to the longer distance of the station, total travel time in public transport was not affected by the Thai travelers mode choice. This research will aid transport authorities and planners to gain knowledge on the impact of socio-economic and spatial behavior of public transport users on their mode choice, resulting in the development in sustainable transport in Bangkok, Thailand.

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“…The outcome of COP21 is the Paris Agreement, a new international treaty within the UNFCCC, dealing with GHG mitigation, adaptation, and finance. The Paris Agreement aims to limit global surface temperature increases to less than 2 °C when compared to the pre-industrial revolution ( Rumjaun et al., 2018 ; Pita et al., 2017 ). The Intended Nationally Determined Contributions (INDCs) are a core part of this agreement, which assist the Parties to achieve the long-term target.…”

Section: Introductionmentioning

confidence: 99%

“…Under the BAU, the emissions in the energy and transport sectors in 2020 will be 358.56 Mt CO 2 eq. To undertake an ambitious effort with more contributions to combat climate change, Thailand's Nationally Determined Contribution (NDC) intends to reduce economy-wide GHG emissions, excluding LULUCF, by 20 percent and up to 25 percent with adequate support from the BAU emission level in 2030 ( Pita et al., 2017 ; UNFCCC, 2015a ; UNFCCC, 2015b ).…”

Section: Introductionmentioning

confidence: 99%

Analysis of factors affecting energy consumption and CO2 emissions in Thailand's road passenger transport

Pita

Winyuchakrit

Limmeechokchai

2020

Heliyon

Self Cite

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The transport sector is one of the important contributors of increasing energy consumption and CO 2 emissions in Thailand. Due to rapid development of transport infrastructure and technologies, patterns of energy consumption in this sector, as well as emissions, have changed considerably. To understand changes of aggregate energy consumption and CO 2 emissions in this sector, this study employs the decomposition technique of the additive LMDI-I index method to analyze influencing factors in the road passenger transport in Thailand during 2007–2017. Results indicate that major energy consumption and GHG emissions in Thailand's road passenger transport come from sedans, vans, and taxis. The decreasing GHG emissions from fuel share and emission factors revealed the success of biofuel promotion in the road transport. The policy implication on energy efficiency and CO 2 mitigation suggests that Thailand should continue promotion of energy efficiency improvement, public transport, biofuels and electric vehicles.

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CO 2 Reduction Perspective in Thailand’s Transport sector towards 2030

Cited by 10 publications

References 1 publication

Estimation of Travel Demand for Bangkok–Chiang Mai Hyperloop Using Traveler Surveys

Estimation of Travel Demand for Bangkok–Chiang Mai Hyperloop Using Traveler Surveys

Influential Factors Affecting Travelers’ Mode Choice Behavior on Mass Transit in Bangkok, Thailand

Analysis of factors affecting energy consumption and CO2 emissions in Thailand's road passenger transport

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