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Tuesday, November 8th, 2016

    Time Event
    10:00a
    What’s the best way for Europe to curb greenhouse emissions from cars?

    As the European Union contemplates new policies aimed at meeting its emissions-reduction commitments under last year’s Paris Agreement on climate change, a new study by researchers at MIT and elsewhere could provide some valuable guidance on the most effective strategy.

    Rather than adopt a standard for automotive gas-mileage ratings, as the United States has done with its CAFE (corporate average fuel economy) standards for many years, the EU could achieve the same results for CO2 emission reduction, at far lower cost to the economy, by simply extending their existing emissions-trading system to encompass transportation rather than just electricity generation and energy intensive industry, the researchers found.

    Switching from the automotive standards to the trading scheme could save as much as 63 billion Euros, says the study’s lead author Sergey Paltsev, deputy director at MIT’s Joint Program on the Science and Policy of Global Change and senior research scientist at the MIT Energy Initiative. The results have just been published in the journal Transportation, in a paper co-authored by Joint Program researchers Valerie Karplus, Henry Chen, Paul Kishimoto, and John Reilly, and three others.

    “There are many ways to do policies” to try to reduce greenhouse gas emissions, Paltsev says, “and sometimes political reality doesn’t allow you to do things the best way.” But as the EU seeks ways to implement the 40 percent emissions reduction by 2030 that it agreed to at last year’s Conference of the Parties meeting in Paris, policymakers may be well-positioned to use this agreement as an impetus to adopt such an expansion of their emissions trading system.

    A chance for a fix

    The existing emissions trading system in Europe has not worked well, Paltsev says, partly because its price on carbon is quite low, and partly because it does not encompass enough different emissions-producing sectors of the economy. However, “the system can be fixed, and this is a great opportunity to fix it,” he says.

    The new analysis, Paltsev says, clearly shows that instead of imposing mileage efficiency standards, “there is a much better way to achieve the relevant targets” for cutting emissions from the transportation sector. He points out that because of high fuel taxes and the resulting high cost of gasoline in Europe, the existing fleet of passenger cars there is already more efficient than the U.S. fleet, so implementing stringent fuel efficiency standards would be more costly for Europe.

    From an economic point of view, “emissions trading or a carbon tax is going to achieve their emissions goals at the lowest possible cost to society,” says Paltsev, who is an economist and an engineer by training. And the emissions trading system is already established in the EU, he says, even though in its present form the system is flawed because of over-allocation of emission permits and interaction with renewable energy requirements. In addition, it only addresses the most energy-intensive sectors, primarily power generation. However, the trading system could easily be expanded to encompass private vehicles as well, according to Paltsev.

    Since the goal is to achieve a given amount of reduction in the EU’s overall greenhouse gas emissions, expanding the program to include transportation could achieve the same amount of reduction, according to the new study, “and save money for taxpayers and the European economy — and those savings can be quite substantial,” Paltsev says.

    Detailed computer modeling

    The team used a computer model developed at the Joint Program that encompasses the scenarios’ interactive effects on all aspects of the economy, rather than just the transportation sector as most analyses do. For example, the interactive model includes secondary effects such as how manufacturing or service industries may respond to policy changes that affect transportation costs, which can in turn influence the cost of goods. Using this model, the study found that using the emissions trading system instead of a mileage standard could save between 24 and 63 billion Euros in 2025, he says, and “achieve exactly the same goal.” He adds, “I’m an economist, and if I see 63 billion lying on the floor, I say pick it up!”

    The modeling team also benefited from having access to detailed data from the U.S. Environmental Protection Agency about the costs of meeting fuel standards in this country, whereas analysts in Europe who studied these tradeoffs “didn’t have that luxury,” he says. As a result, their studies were much simpler and “didn’t provide the richness of data the EPA has been able to achieve.”

    He says the team presented their findings to EU officials in Brussels, and the initial response there was “very receptive, and that’s a good sign.” The approach used by this team is one that they hope will be replicated in analyzing other proposed policy measures and other regions of the world. “It shows you need to have this kind of overarching view, to look at all sectors at the same time,” in order to derive useful policy recommendations.

    Andreas Schafer, Professor of Energy and Transport at University College London, who was not involved in the analysis, noted that “this study, for the first time, quantifies the vast economic costs of that policy using a general equilibrium framework. Although the figures should be considered with caution (as also suggested by the authors), the extra costs of separate emission standards between 2015 and 2020 compare to roughly half the EU Framework Programme for Research and Innovation Horizon 2020 [spending] of around 80 billion Euros over nearly the same period.”

    The research team also included Andreas Löschel of the University of Münster, in Germany; Kathrine von Graevenitz of the Center for European Economic Research, in Germany; and Simon Koesler of the Center for Energy Policy at the University of Strathclyde, in Glasgow, U.K. The research was supported by the U.S. Department of Energy, Office of Science, the U.S. Environmental Protection Agency, and other sponsors from government, industry, and foundations, through the Joint Program on the Science and Policy of Global Change.

    4:00p
    A future of shared mobility

    The Senseable City Lab and the transportation company Uber are launching a research initiative to explore how car- and ride-sharing networks could reshape the future of urban mobility. This initiative will explore new mobility paradigms for the 21st century, building on both parties’ data and analytics strengths.

    “We all know how the ‘sharing economy’ has revolutionized many aspects of our lives. How will it challenge traditional notions of mobility and individual freedom after the advent of self-driving?” asks Carlo Ratti, professor of the practice of urban technologies and director of the Senseable City Lab. “In the United States, cars are idle 95 percent of the time, so they are an ideal candidate for the sharing economy.”

    “We recognize sharing as the critical element in enabling on-demand mobility systems to deliver benefits to riders, drivers, and cities,” said Andrew Salzberg, Uber’s head of transportation policy and research. “It’s why we’ve invested so much into building uberPOOL into a successful product in over 30 cities around the world, and it’s why we’re partnering with Senseable City Lab to push the boundaries of what’s possible.” The Senseable City Lab has been pioneering research in ride sharing since its successful HubCab project in 2014.

    With self-driving cars taking to the road, sharing could potentially increase significantly. A shared self-driving car could give you a lift to work in the morning and then, rather than sitting idle in a parking lot, provide a ride to someone else in your family — or to someone else in the neighborhood. According to MIT’s research, this could theoretically lead to a city where everyone could travel on demand with just one-fifth of the number of cars in use today. Analysis of the data collected by Uber through its global operations will produce better estimates of the impact of car and ride sharing around the world.

    This collaboration will study mobility and the ability to share rides on a global scale. The comparative analysis of data collected in various cities will enable the exploration of impactful questions for the first time, such as: What is the effect of a city’s size on shareability? Is it easier to share a trip in a large city or small city? Do social, economic, and cultural aspects influence mobility patterns and thus sharing potential? 

    Understanding the patterns that facilitate or prevent the sharing of vehicles and trips is critical to understanding the path toward more energy-efficient, environmentally friendly, and equitable urban form — a goal that MIT and Uber share.

    Paolo Santi, visiting scientist, will direct the project on MIT’s side. Team members will include Mohammad Vazifeh, Giovanni Resta, and Thomas Matarazzo.

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