Carbon Emission Pinch Analysis: an application to the transportation sector in Iskandar Malaysia for 2025

2018 ◽  
Vol 21 (10) ◽  
pp. 1899-1911 ◽  
Author(s):  
Ahmad Fakrul Ramli ◽  
Zarina Ab Muis ◽  
Wai Shin Ho ◽  
Ahmad Muzammil Idris ◽  
Aminullah Mohtar
2021 ◽  
Author(s):  
Fiona Sloothaak ◽  
James Cruise ◽  
Seva Shneer ◽  
Maria Vlasiou ◽  
Bert Zwart

AbstractTo reduce carbon emission in the transportation sector, there is currently a steady move taking place to an electrified transportation system. This brings about various issues for which a promising solution involves the construction and operation of a battery swapping infrastructure rather than in-vehicle charging of batteries. In this paper, we study a closed Markovian queueing network that allows for spare batteries under a dynamic arrival policy. We propose a provisioning rule for the capacity levels and show that these lead to near-optimal resource utilization, while guaranteeing good quality-of-service levels for electric vehicle users. Key in the derivations is to prove a state-space collapse result, which in turn implies that performance levels are as good as if there would have been a single station with an aggregated number of resources, thus achieving complete resource pooling.


2019 ◽  
Vol 11 (6) ◽  
pp. 1591 ◽  
Author(s):  
Tri Joewono ◽  
Ari Tarigan ◽  
Muhamad Rizki

The influence of digital technologies in the current era has substantially affected the way individuals engage with in-store shopping activities and travels. To prepare a transport policy with sustainable orientations, it is important to investigate factors that determine in-store activity-travel patterns. In particular, knowledge about how in-store activities and travels interact with other forms of activities and travels should be updated, since the use of Information and Communications Technology (ICT) may be substantial to create new patterns of activity and travel. It is believed that shopping travel and activity behaviours may indicate the increase or decrease of physical travels, which is crucial for carbon emission measures in transportation sector. While numerous studies about this issue have been recently carried out based on the context of developed countries, little is known for the context of developing countries. To offer a better understanding of the nature of in-store shopping travels and activities in the digitalisation era, a household survey was conducted in Bandung, Indonesia. This survey tends to acquire data from respondents as a representation of developing countries on their shopping behaviour, travel characteristics, and spatial attributes that represent the conditions of their built environment. The results from the survey show that individuals in a developing country are still having interest in in-store grocery shopping even though their daily life has a close connection with digital life. The results of the analysis show that grocery shoppers in a developing country simultaneously consider shopping activity, other activities, modes of transport, and shopping expenses. This manifests in the form of trip-chaining activities and affects decisions on the modes of transport used. The results indicate a significant portion of trip frequency for in-store shopping travel with motorised modes. Since motorised modes are the main contribution for carbon emission production in transportation sector, the results of this study are critical for developing transport demand measures and setting relevant policy schemes to improve the sustainability of transportation system, especially for the context of developing countries.


2019 ◽  
Vol 11 (2) ◽  
pp. 539 ◽  
Author(s):  
Caiquan Bai ◽  
Yuehua Mao ◽  
Yuan Gong ◽  
Chen Feng

China is the largest carbon dioxide emitter in the world, and reducing China’s transportation carbon emissions is of great significance for the world. Using the Chinese provincial data from 2005–2015, this article analyzes the convergence characteristics of per capita transportation carbon emissions in China. It employs the log t regression test method and the club clustering algorithm developed by Phillips and Sul (2007) to separate the provinces and municipalities in China into three convergence clubs with different transportation carbon emission levels and one divergent group. Among them, the divergent group consisted of Beijing and Liaoning; the high carbon emission club consisted of Shanghai and Inner Mongolia; the low carbon emission club consisted of Jiangxi, Henan, Shandong, Hebei, and Sichuan; the medium carbon emission club consisted of the remaining 21 provinces and municipalities. On this basis, this article adopts the Ordered Logit model to explore factors influencing the formation of the convergence clubs. The regression results showed that the per capita transportation carbon emissions in the provinces with a high energy intensity of the transportation sector, a high urbanization level, or a high fixed assets investment intensity of the transportation sector tended to converge into the high carbon emission club.


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