Online Ride-Hailing Network and Fuel Consumption: A Driver’s Perspective (February 2017/ Clean Transportation Program)
The online ride-hailing network has transformed China’s urban mobility and has the potential to deliver significant air quality improvements and advance urban smart mobility. However, the environmental pros and cons of the network have not yet been thoroughly investigated and the information about actual trips and design of the network operation has largely remained in the private sector’s domain. Prior to the pursuant of “hard” data which require close interactions with operators and government, this study demonstrates that easily accessible “soft” data such as qualitative interviews can be collected for guiding the design of future research, such as surveys, data sorting, and data compiling.
iCET's Clean Transportation Transformation Program's (CTTP) mission is to dramatically reduce fossil energy use and carbon emissions, bring back blue sky, and promote sustainable mobility through intelligent decision making by consumers and decision-makers enabled by sound scientific information and big data analytics. In 2016 CTTP generated 9 study reports, 5 policy briefs, 1 urban transport emissions calculation tool, held 10 events among which are a side event at the US-China Climate Leaders' Summit, and presented its work outcomes in 12 international and national events inducing BAQ2016, Bloomberg Future New Energy Summit and 10th anniversary of China's Ministry of Transportation's CUSTReC. Welcome to review this easy-read!
Urban Transportation Emissions Using Uber Data: A Chengdu Feasibility Study
The goal of this novel Uber feasibility case study is of two-folds: (i) to demonstrate that the use of ICT sources for gathering data relevant for urban transport emissions and policy is of value both because it is valid and it is relatively resource-efficient. The study does so by employing ICT-inducted trip data gathered and provided (for free) by Uber Chengdu; (ii) to estimate real-world carbon emissions using Uber data in combination with an urban emissions model (COPERT), and assess gaps between reported fuel consumption and actual fuel consumption.
China Passenger Vehicle Fuel Consumption Development Annual Report 2016 (January 2017/ Clean Transportation Program)
iCET's "2016 China Passenger Vehicle Fuel Consumption Development Annual Report" – the sixth report of its kind – analyzes the gaps of Phase III and IV of China's fuel consumption standard based on China's 2015 reported fuel consumption (FC) data and production of each auto manufactures , presents auto manufactures' individual FC performance, evaluates New Energy Vehicles' (NEVs) contribution to corporate and overall car market performance, and proposes recommendations towards the 2020 target of 5L/100km and translates to CO2 emissions of 167kg/km (from the 2015 target of 6.9L/100km or about CO2 120kg/km).
This study aims to assess the gap between reported and real-world fuel consumption (FC). It therefore uses the reported FC data available on the MIIT’s website and a bottom-up actual FC data collection App, BearOil App which includes nearly 600,000 owners and over 15 million data inputs inserted between 2008 and 2015, covering 16,000 vehicle models in 31 cities in China. By-segment, by-brand, by-model year, and by-transmission FC gaps are analyzed with simple possible reasons explanation. Last but not least, this report further highlights the need for independent and accountable third-party scrutiny of auto standards implementation status
2016 Green Car China Annual Report (August 2016 / Clean Transportation Program)
This year’s Green Car China Annual Report released green rankings for 10 vehicle categories (including plug-in hybrid ranking for the first time), as well as top best-selling models’ ranking. Blue Score was used to evaluate the emission level instead of Smog Index in this report. Additionally, average Green Scores and Blue Scores of the past 3 years were analyzed and compared to show the trend of vehicles’ environmental performance.
2016 China Green Car Finalists (August 2016 / Clean Transportation Program)
This brochure showed to consumers the Top 10/5 rankings for ten vehicle categories, including Small, Compact, Mid-size, Large, SUV, MPV, Luxury, Sports and PHEV (PHEV was ranked for the first time). Green Score, Blue Score, and GCC Rating were illustrated in the ranking, aiming to encourage consumers to choose vehicle models with less environmental impacts. Green Car China Ranking has been supported by Energy Foundation (financially), UNEP and MEP-VECC (technically) and entered its 7th year since public release.
The BestEV v1.0 methodology summary brief is meant to provide a quick overview of the process and results of each of the BestEV methodology development stage and the final result. The brief also includes the calculation method or arriving at the BestEV's v1.0 qualitative and quantitative criteria, as well as an end results divided to vehicle cost ranges.
The China Urban Transportation Emissions Calculator (CUTEC) private vehicles (PV) version 1.0 is the fruit of iCET's CTTP's year of project development together with E4Tech. While designed to support urban transport decision making through the comparison of various policy impacts on local air quality and carbon emissions, as well as other related effects such as congestion, CUTEC 's developed included multiple discussions and information exchanges between its developers and supported. These have been collected to comprise the CUTEC policy recommendations report aimed at summarising project lessons and suggested next steps for improving policy-making processes. The CUTEC project was funded by the Rockefeller Brothers Fund, the UK Strategic Posterity Fund, and the Blue Moon Fund.
The China Urban Transportation Emissions Calculator (CUTEC) private vehicles (PV) version 1.0 Guidebook was developed for providing background and support to users of the tool. Meant to support urban transport decision making through the comparison of various policy impacts on local air quality and carbon emissions, as well as other related effects such as congestion, CUTEC is designed as an open-source: it is an Office spreadsheet tool that enables insights into the entire design and calculation processes, it is adjustable to local conditions and requirements, and it is free for use. iCET's CTTP team is glad to provide support and training for making the use of the tool easy and valuable; for related inquiries email email@example.com. The CUTEC project was funded by the Rockefeller Brothers Fund, the UK Strategic Posterity Fund, and the Blue Moon Fund.