Sittha Jaensirisak

Potential performance of urban land use and transport strategies in reducing greenhouse gas emissions: Khon Kaen case study, Thailand

ABSTRACT Transport activities are a key contributor to greenhouse gas (GHG) emissions, global warming, and climate change. In Thailand, private cars are the second largest generator (after trucks) of GHG emissions from the transport sector. This article presents an analysis and evaluation of the implementation of land use and transport measures for reducing GHG emissions in the road network of the Khon Kaen University (KKU) area in Khon Kaen, Thailand. This research applied a bottom-up method to estimate the baseline GHG emissions for several scenarios by adopting the Clean Development Mechanism 2 (CDM2) and Pollution Control Department (PCD) methods over a 20-year planning horizon. The cleaner technology strategy clearly showed the greatest performance in reducing the GHG emission, followed by land use planning and restriction of private vehicle usage. The public transit improvement strategy illustrated the least GHG emissions reduction. Integrated scenarios clearly illustrated larger potential benefits, more effective than the individual scenarios. For both individual and integrated scenarios, the potential performances of the GHG emissions reduction estimated by the PCD method were greater than those assessed by the CDM2 method.

Evaluation of Accessibility to Evacuation Centers in Asian Developing City

As the rapid growth of urbanization, risk of flooding in Asian developing cities has been increasing. Though local agencies have integrated their efforts to develop flood preparedness strategies, deploy early warning systems, and plan for evacuations, the cities are particularly vulnerable. This paper aims at evaluating accessibility to evacuation centers in Asian developing city. Hat Yai city (Thailand) was selected as a case study. In this paper, the accessibility was evaluated by travel time between evacuees houses and evacuation centers. The accessibility time to the public evacuation centers were determined. The sensitivity analysis was performed to investigate the relationship between evacuation demand and total travel time in the network. Finally, traffic conditions on evacuation routes were evaluated.