Bidding to drive: Car license auction policy in Shanghai and its public acceptance

Chen, Xiaojie; Zhao, Jinhua

doi:10.1016/j.tranpol.2012.11.016

Cited by 99 publications

(54 citation statements)

References 5 publications

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“…Shanghai had approximately two million motor vehicles in 2004, increasing to 3.1 million in 2010. As a result, Shanghai has promulgated a vehicle control policy, which uses monthly license auctions to limit the number of new cars [23]; (2) Beijing's Vehicle Lottery. Beijing is first and unique in restricting license plates via a random lottery rather than using an auction system.…”

Section: Methodology and Datamentioning

confidence: 99%

Vehicle Ownership Analysis Based on GDP per Capita in China: 1963–2050

Zhao

2014

Sustainability

122

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This paper presents the Gompertz function of per capita GDP and vehicle stock to forecast the vehicle ownership of China through to 2050 against a background of increasing energy use and CO 2 emissions associated with the potential demands of on-road vehicles. We forecast the level of vehicle stock in China based on the extant patterns of vehicle development in Organisation for Economic Co-operation and Development (OECD) countries, Europe, the United States and Japan. The results show that the OECD pattern and European pattern are more suitable for describing China's vehicle stock growth when compared with Japanese and U.S. patterns. The study finds that China's vehicle stock has developed as an S-shaped curve. During the forecast period, the inflection point of the increasing curve appears around the year 2030, with the annual growth of vehicle ownership increasing from 6.13% to 9.50% in the prior period prior and subsequently dropping to 0.45% in 2050. Based on the sensitivity analysis and robustness check, the impact of different Gompertz curve parameters and GDP growth rates on vehicle stock projection are analyzed.

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Section: Methodology and Datamentioning

confidence: 99%

Vehicle Ownership Analysis Based on GDP per Capita in China: 1963–2050

Zhao

2014

Sustainability

122

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“…Between 2007 and 2010 its population increased from 18 to 23 million inhabitants, and private car ownership increased from 2 million in 2004 to 3.1 million in 2010 (Chen and Zhao, 2013 of coal-fired power plants away from the metropolitan area . NO x emissions in Inner Mongolia are dominated by power plants and heavy industry.…”

Section: Linear Trend In No X Emissionsmentioning

confidence: 99%

Regional nitrogen oxides emission trends in East Asia observed from space

2013

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Abstract. Due to changing economic activity, emissions of air pollutants in East Asia are changing rapidly in space and time. Monthly emission estimates of nitrogen oxides derived from satellite observations provide valuable insight into the evolution of anthropogenic activity on a regional scale. We present the first results of a new emission estimation algorithm, specifically designed to use daily satellite observations of column concentrations for fast updates of emissions of short-lived atmospheric constituents on a mesoscopic scale (∼ 0.25The algorithm is used to construct a monthly NO x emission time series for the period 2007-2011 from tropospheric NO 2 observations of GOME-2 for East Chinese provinces and surrounding countries. The new emission estimates correspond well with the bottom-up inventory of EDGAR v4.2, but are smaller than the inventories of INTEX-B and MEIC. They reveal a strong positive trend during 2007-2011 for almost all Chinese provinces, related to the country's economic development. We find a 41 % increment of NO x emissions in East China during this period, which shows the need to update emission inventories in this region on a regular basis. Negative emission trends are found in Japan and South Korea, which can be attributed to a combined effect of local environmental policy and global economic crises. Analysis of seasonal variation distinguishes between regions with dominant anthropogenic or biogenic emissions. For regions with a mixed anthropogenic and biogenic signature, the opposite seasonality can be used for an estimation of the separate emission contributions. Finally, the non-local concentration/emission relationships calculated by the algorithm are used to quantify the direct effect of regional NO x emissions on tropospheric NO 2 concentrations outside the region. For regions such as North Korea and the Beijing municipality, a substantial part of the tropospheric NO 2 originates from emissions elsewhere.

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“…Thus, the optimal quadrat size was approximately 34.89 square kilometers using Equation (1). Consequently, the suggested number of quadrats was 10,311/34.89, namely, 295.5.…”

Section: Quadrat Count Analysismentioning

confidence: 99%

“…Specifically, a total number of 661 households was first selected over a grid of 10,311 square kilometers, which was calculated according to the coordinates of the outermost households. Thus, the optimal quadrat size was approximately 34.89 square kilometers using Equation (1). Consequently, the suggested number of quadrats was 10,311/34.89, namely, 295.5.…”

Section: Quadrat Count Analysismentioning

confidence: 99%

“…Both academic and non-academic worlds are increasingly concerned about the rising popularity of private cars, a known cause of exacerbated air pollution [1][2][3], greenhouse gas emissions [4], traffic congestion [5,6], and risks to public health [7,8]. Admittedly, a growing level of private-car dependence is beneficial to the auto industry and its deriving businesses [9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Measuring the Spatial Dimension of Automobile Ownership and Its Associations with Household Characteristics and Land Use Patterns: A Case Study in Three Counties, South Florida (USA)

Song

Wang

2017

Sustainability

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Motorization and increased levels of car ownership have partly contributed to traffic congestion and air pollution, which is a prime concern in the era of climate change. Therefore, vehicle ownership-related topics have been extensively explored by transportation scholars, economists, and planning researchers. However, relatively fewer scientists have investigated the spatial patterns and socioeconomic factors of car ownership simultaneously within a large geographic scale. Thus, the goal of this article is to illuminate how high levels of auto ownership may cluster spatially and what factors relate to such phenomena by developing an integrative framework and applying it in three counties in South Florida (US). Specifically, this study first evaluated whether vehicle ownership is spatially autocorrelated using Global and Local Moran's I statistics. It then justified significant factors associated with car ownership by employing Poisson and Corrected Poisson regression models. The findings, using raw data, show that there exist locally spatial clusters of the households with high levels of automobile ownership, while globally the patterns of auto ownership are statistically random. Furthermore, the results suggest that the number of drivers, the number of workers, household income level, housing tenure, the proximity to schools, and net house density significantly influence car ownership levels. The results can assist urban planners and local governments in developing planning schemes that aim at transit, cycling, walking, and other non-motorized travel modes, thereby furthering environmentally friendly communities.

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Bidding to drive: Car license auction policy in Shanghai and its public acceptance

Cited by 99 publications

References 5 publications

Vehicle Ownership Analysis Based on GDP per Capita in China: 1963–2050

Vehicle Ownership Analysis Based on GDP per Capita in China: 1963–2050

Regional nitrogen oxides emission trends in East Asia observed from space

Measuring the Spatial Dimension of Automobile Ownership and Its Associations with Household Characteristics and Land Use Patterns: A Case Study in Three Counties, South Florida (USA)

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