Effect analysis of air pollution control in Beijing based on an odd-and-even license plate model

Xie, Xiaoyao; Xiaodong, Tou; Zhang, Li

doi:10.1016/j.jclepro.2016.09.117

Cited by 28 publications

(8 citation statements)

References 6 publications

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“…Terdapat beberapa penelitian mengenai pengaruh kebijakan ganjil-genap, namun sebagian besar terkait dengan tingkat pencemaran udara, seperti pada [16], [20], [24], [32], [13], [8] untuk kasus di New Delhi, India; [34], [21], [44], [42] di Beijing, China; [10] di Mexico, dan [26] di Jakarta. Selain kualitas udara, beberapa hal yang dipengaruhi adanya kebijakan ganjil-genap juga diteliti, seperti analisis sentimen dan peran serta masyarakat terhadap kebijakan ganjil-genap di New Delhi, India [9], [31], dan di Jakarta [43]; tingkat kemacetan lalu lintas, tingkat pelayanan moda transportasi umum, pelayanan parkir dll seperti dalam [15], [17], [23], [21], [35], [12]; tingkat kebisingan sekitar [11], kebiasaan perjalanan [38], maupun aspek hukum yang mendasari pelaksanaan kebijakan dalam [28].…”

Section: Tinjauan Pustakaunclassified

Pengoptimuman Biaya Distribusi Menggunakan Integer Programming Dalam Menyikapi Kebijakan Ganjil-Genap Di Jakarta

Aman¹,

Anggraini²,

Hanum³

et al. 2022

MILANG

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Kebijakan Ganjil-Genap merupakan salah satu aturan yang diterapkan di Jakarta untuk mengurangi kemacetan. Kebijakan ini mengakibatkan kendaraan bermotor tidak bisa melalui ruas jalan tertentu, jika ganjil/genapnya nomor-polisi kendaraan tidak sesuai dengan ganjil/genapnya tanggal kendaraan tersebut ketika melintasi ruas jalan yang terkena kebijakan. Ada beberapa jenis kendaraan yang terkena dampak kebijakan ini, di antaranya ialah kendaraan distribusi perusahaan ekspedisi. Kebijakan ini membuat biaya distribusi perusahaan ekspedisi meningkat karena jarak perjalanan menuju konsumen menjadi lebih jauh untuk menghindari ruas jalan Ganjil-Genap ketika plat nomor polisi kendaraan yang digunakan untuk distribusi tidak sesuai dengan jenis tanggal distribusi. Proses distribusi yang meminimumkan biaya pengeluaran memerlukan penentuan rute yang optimal. Masalah penentuan rute optimal ini diformulasikan ke dalam Vehicle Routing Problem menggunakan Integer Linear Programming. Masalah ini diselesaikan menggunakan perangkat lunak LINGO 18.0 dan solusi optimal yang diperoleh berupa rute pendistribusian barang menggunakan kendaraan tertentu serta meminimumkan biaya distribusi.

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Section: Tinjauan Pustakaunclassified

Pengoptimuman Biaya Distribusi Menggunakan Integer Programming Dalam Menyikapi Kebijakan Ganjil-Genap Di Jakarta

Aman¹,

Anggraini²,

Hanum³

et al. 2022

MILANG

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“…Wang et al used a super efficiency DEA model to analyze the atmospheric pollution governance efficiency in various provinces of China from 2004 to 2009 [ 40 ]. Xie et al studied Beijing and built an odd-and-even license plate model by a probabilistic modeling method and the analysis of means to quantify the pollution caused by vehicle exhaust emissions and the actual effect of the license plate limitation rule [ 41 ]. Fan et al indicated that the rate of industrial waste gas governance is low, and there are significant differences in the governance efficiency of different pollutants [ 42 ].…”

Section: The Current Status Of Pollution Researchmentioning

confidence: 99%

Air Pollution Forecasts: An Overview

Bai

Wang

et al. 2018

IJERPH

260

126

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Air pollution is defined as a phenomenon harmful to the ecological system and the normal conditions of human existence and development when some substances in the atmosphere exceed a certain concentration. In the face of increasingly serious environmental pollution problems, scholars have conducted a significant quantity of related research, and in those studies, the forecasting of air pollution has been of paramount importance. As a precaution, the air pollution forecast is the basis for taking effective pollution control measures, and accurate forecasting of air pollution has become an important task. Extensive research indicates that the methods of air pollution forecasting can be broadly divided into three classical categories: statistical forecasting methods, artificial intelligence methods, and numerical forecasting methods. More recently, some hybrid models have been proposed, which can improve the forecast accuracy. To provide a clear perspective on air pollution forecasting, this study reviews the theory and application of those forecasting models. In addition, based on a comparison of different forecasting methods, the advantages and disadvantages of some methods of forecasting are also provided. This study aims to provide an overview of air pollution forecasting methods for easy access and reference by researchers, which will be helpful in further studies.

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“…Urban air pollution has gradually become prominent in China [22], especially haze-fog, which has not just resulted in visibility impairment, air quality degradation and health damage [23] but has also reduced the feeling of happiness among urban residents [24]. It has been reported that marketers have sold "fresh air" to people on haze-fog days, declaring that it came from a place with fresh air, such as Shandong province or even New Zealand, and many people were willing to pay for it.…”

Section: Haze-fog and Consumers' Desire For Moneymentioning

confidence: 99%

Influence of Haze-Fog on Consumers’ Desire for Money

Wu¹,

Yang²

2019

JSS

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With the increase of haze-fog, it seriously affects the people's quality of life. Most studies link haze-fog to diseases, environmental issues or governance and policy. However, the relationship between haze-fog and psychology and behavior remains relatively underexplored in the psychology literature. Drawing from regulatory focus theory, this paper explores how haze-fog influences individuals' psychological states and behavior. Specifically, we design an experiment to examine how haze-fog influences consumers' desire for money. Results indicate that haze-fog is negatively related to consumers' desire for money (M sunny day = 3.79, M moderate pollution = 3.99, M severe pollution = 5.49, F(2,105) = 10.67, p < 0.01), and the perception of defensive psychology mediates the relationship between haze-fog and consumers' desire for money (95% CI [0.0102, 0.7597]). This paper shows that haze-fog does not only influence our life, but also our purchasing intentions. It reveals that when haze-fog is severe, it evokes consumers' defensive psychology, and then it decreases consumers' desire for money. Future research can focus on the other haze-fog related consumer psychology and explore haze-fog related marketing.

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Effect analysis of air pollution control in Beijing based on an odd-and-even license plate model

Cited by 28 publications

References 6 publications

Pengoptimuman Biaya Distribusi Menggunakan Integer Programming Dalam Menyikapi Kebijakan Ganjil-Genap Di Jakarta

Pengoptimuman Biaya Distribusi Menggunakan Integer Programming Dalam Menyikapi Kebijakan Ganjil-Genap Di Jakarta

Air Pollution Forecasts: An Overview

Influence of Haze-Fog on Consumers’ Desire for Money

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