Supporting and evaluation systems of low carbon transport: Study on theory and practice

Huang, Yin; Hu, Xiaoping; Zhang, Dezhi; Fang, Xiaoping; Li, Xiamiao

doi:10.1177/1687814015624831

Cited by 4 publications

(4 citation statements)

References 8 publications

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“…Data analysis helps identify traffic patterns, congestion hotspots, and areas needing improvement. It also assists in predicting future traffic demand and optimizing transportation infrastructure accordingly [18]- [20]. Furthermore, incident detection and management with Incident detection technologies help promptly identify traffic incidents such as accidents, breakdowns, or road hazards [21]- [23].…”

Section: Traffic Managementmentioning

confidence: 99%

Conceptual Design of Smart Network Adaptive Traffic Light in Creating Low-Carbon City

Misnan,

M. Thamrin,

Megat Amin

et al. 2023

IJIE

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The research is led to the development of a smart sensory network adaptive traffic light to optimise traffic flow and reduce congestion on Jalan Persisiran Seri Alam in Pasir Gudang. With variable time management, this system can reduce the time spent at traffic junctions and carbon emitted by vehicles, thus supporting the SDG 11 for low carbon smart city. By integrating the dynamic duration of each traffic signal on each dense pathway, this system can help to reduce traffic congestion, fuel consumption, and CO2 emissions. It can also ensure that traffic is managed in a more efficient manner, thus improving the quality of life for the people of Pasir Gudang. The success of this system will be a major step towards achieving the goal of a low carbon smart city, as it will help to reduce air pollution, noise pollution, and improve road safety. Additionally, it can help to improve the efficiency of traffic flow, leading to better traffic management and reduced congestion.

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Section: Traffic Managementmentioning

confidence: 99%

Conceptual Design of Smart Network Adaptive Traffic Light in Creating Low-Carbon City

Misnan,

M. Thamrin,

Megat Amin

et al. 2023

IJIE

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“…However, the provincial governments have developed performance evaluation for energy savings, carbon intensity, renewable energy concentration, and forest coverage, which binds local officials' professional promotion to reduction targets [165]. The lack of comprehensive national, provincial, and city evaluation protocols has led to many studies that have developed and evaluated the progress of LCC nationally [169,170], provincially [171,172], and city-wide [10,118,148,173]. These studies indicate that there is a need for a scientifically rigorous MER system, which is locally specific, incorporates multiple stakeholders in the planning process, and covers not only technology, economic, and environmental parameters, but also social equity.…”

Section: Implementing Principlementioning

confidence: 99%

“…Therefore, a well-planned logistics system is an ideal pursuit of eco-efficiency, which can balance economic and environmental efficiency, and plays a significant role in carbon emissions reduction [117]. The fourth approach adopts transport demand management (TDM) strategies that focus on reducing VMT [118]. To mitigate congestion and reasonably control car ownership, cities such as Shenzhen, Beijing, Shanghai, Changsha, and Dalian have implemented strict TDM measures.…”

mentioning

confidence: 99%

“…To mitigate congestion and reasonably control car ownership, cities such as Shenzhen, Beijing, Shanghai, Changsha, and Dalian have implemented strict TDM measures. Chief among them are changing people's behavior, parking restrictions and fees, congestion charges, car and ride-sharing, bicycle-sharing, telecommuting, co-working spaces, pedestrian and bicycle lanes, and internet-hired taxi [4,33,35,73,118].…”

mentioning

confidence: 99%

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Sustainability of Low Carbon City Initiatives in China: A Comprehensive Literature Review

Hunter

Sagoe²,

Vettorato

et al. 2019

Sustainability

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Low carbon city (LCC) has emerged as the latest sustainable urbanism strategy in China as a response to climate change impacts. Yet, minimal scholarships have explored the sustainability of the urban planning model towards understanding the complexity of the components. Using a two-step triangulation approach, this paper presents a structured overview of the LCC initiative in China as it relates to the transition to a sustainability paradigm. The data collection approach includes a comprehensive review of 238 articles on LCC to identify and categorize LCC components. Furthermore, discourse and framing analysis was used to develop and synthesize a conceptual framework for assimilating the components into four core sustainable development principles: Integration, implementation, equity, and scalability and replicability. The results indicate that LCC development in China is bias towards economic and environmental technological innovations and strategies. Additionally, several critical sustainability issues of LCC pilots were identified. These include a lack of social equity planning concerns for the most vulnerable population, dearth of social reforms that cater to lifestyle and behavioral change, top-down planning and decision-making processes, a technocratic rationalization planning approach, inconsistent LCC targets on inter-generational justice concerns, absence of an effective national "sharing and learning" city-city network system, and several barriers to implementation. We conclude that the applied theoretical and conceptual inquiry into the field of LCC is pertinent to mitigate climate change and achieve sustainable urban development.Sustainability 2019, 11, 4342 2 of 37 consumption [14][15][16][17]. This increasing energy consumption and coal dependency of the urban energy system has increased greenhouse gas (GHG) emissions, as China has become the world's largest energy consumer and carbon emitter [18,19]. A recent report by the National Bureau of Statistics [20] suggests that despite a decline in GHG emissions between 2013 and 2016, emissions grew by 2.3% in 2018 due to a surge in urban construction. Therefore, after three decades of rapid physical and socio-spatial modernization, the country is facing significant negative externalities [16]. Local environmental pollution [6,16,[21][22][23], ecological deterioration [24], and energy shortage [21,25] have created health risks [26], have affected people's quality of life [27], and resulted in substantial economic losses [28] in megacities such as Tianjin and Beijing [29]. Concomitantly, China's cities are vulnerable to climate change impacts [17,30], as some cities have inadequate seawall defenses in low-lying areas [5], and are therefore exposed to flooding and extreme rainstorms [23]. In addition to this, some experience droughts from reduced precipitation, which can be attributed to low urban institutional capacity that creates limitations in climate governance and planning [31]. These complex and intractable problems have heralded a call for action, t...

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A Tripartite Evolutionary Game Study of Low-Carbon Innovation System from the Perspective of Dynamic Rewards and Punishments

Liu,

Feng,

Liu

et al. 2023

Preprint

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Supporting and evaluation systems of low carbon transport: Study on theory and practice

Cited by 4 publications

References 8 publications

Conceptual Design of Smart Network Adaptive Traffic Light in Creating Low-Carbon City

Conceptual Design of Smart Network Adaptive Traffic Light in Creating Low-Carbon City

Sustainability of Low Carbon City Initiatives in China: A Comprehensive Literature Review

A Tripartite Evolutionary Game Study of Low-Carbon Innovation System from the Perspective of Dynamic Rewards and Punishments

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