Environmental benefits from ridesharing: A case of Beijing

Yu, Biying; Ma, Ye; Xue, Meimei; Tang, Bao-Jun; Wang, Bin; Yan, Jinyue; Wei, Yi‐Ming

doi:10.1016/j.apenergy.2017.01.052

Cited by 135 publications

(55 citation statements)

References 21 publications

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“…We assess the overall energy consumption and environmental impacts associated with all stages of fuels (Mi et al, 2017b;Yu et al, 2017). The cycle of vehicle fuels can be divided into two stages: well-to-tank and tank-to-wheels.…”

Section: Estimation Of Vehicle Fuels and Emissionsmentioning

confidence: 99%

Environmental benefits of bike sharing: A big data-based analysis

2018

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Bike sharing is a new form of transport and is becoming increasingly popular in cities around the world. This study aims to quantitatively estimate the environmental benefits of bike sharing. Using big data techniques, we estimate the impacts of bike sharing on energy use and carbon dioxide (CO2) and nitrogen oxide (NOX) emissions in Shanghai from a spatiotemporal perspective. In 2016, bike sharing in Shanghai saved 8,358 tonnes of petrol and decreased CO2 and NOX emissions by 25,240 and 64 tonnes, respectively. From a spatial perspective, environmental benefits are much higher in more developed districts in Shanghai where population density is usually higher. From a temporal perspective, there are obvious morning and evening peaks of the environmental benefits of bike sharing, and evening peaks are higher than morning peaks. Bike sharing has great potential to reduce energy consumption and emissions based on its rapid development.

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Section: Estimation Of Vehicle Fuels and Emissionsmentioning

confidence: 99%

Environmental benefits of bike sharing: A big data-based analysis

2018

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“…Barann et al (2017) conducted another study using more than 5 million taxi trips in New York City and found that ridesharing could potentially save over 2 million kilometers of travel distance per week, which would significantly decrease CO 2 emissions. Similarly, Yu et al (2017) evaluated the direct environmental benefits of ridesharing in Beijing, and found that it enabled energy savings, distance savings, and lower CO 2 emissions. Stiglic et al (2016b) studied the impact of driver and rider flexibility in an enhanced dynamic ridesharing experience and found that suggested driver and rider flexibility on departure/arrival times was important to ridesharing system success, but that driver flexibility in terms of accepting detours was even more important.…”

Section: Case Studiesmentioning

confidence: 99%

A survey of models and algorithms for optimizing shared mobility

Mourad

Puchinger

Chu

2019

Transportation Research Part B: Methodological

217

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The rise of research into shared mobility systems reflects emerging challenges, such as rising traffic congestion, rising oil prices and rising environmental concern. The operations research community has turned towards more sharable and sustainable systems of transportation. Shared mobility systems can be collapsed into two main streams: those where people share rides and those where parcel transportation and people transportation are combined. This survey sets out to review recent research in this area, including different optimization approaches, and to provide guidelines and promising directions for future research. It makes a distinction between prearranged and real-time problem settings and their methods of solution, and also gives an overview of real-case applications relevant to the research area.

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“…In regions with a higher population density, public transport, biking and walking provide convenient alternatives that reduce GHG emissions, but this is not always the case in areas with lower population density [132]. Car-pooling has long been a focus of efforts to reduce congestion and air pollution; in recent years, car-sharing and ride-sharing have emerged as alternatives that may increase the rate of vehicle utilization [133][134][135]. Through trip-chaining, autonomous taxis (ATs) could radically reduce the number of vehicles required, potentially at the cost of increased vehicle turn-over and longer distances.…”

Section: Me In Vehiclesmentioning

confidence: 99%

Material efficiency strategies to reducing greenhouse gas emissions associated with buildings, vehicles, and electronics—a review

Hertwich

Ali

Ciacci

et al. 2019

Environ. Res. Lett.

259

164

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As one quarter of global energy use serves the production of materials, the more efficient use of these materials presents a significant opportunity for the mitigation of greenhouse gas (GHG) emissions. With the renewed interest of policy makers in the circular economy, material efficiency (ME) strategies such as light-weighting and downsizing of and lifetime extension for products, reuse and recycling of materials, and appropriate material choice are being promoted. Yet, the emissions savings from ME remain poorly understood, owing in part to the multitude of material uses and diversity of circumstances and in part to a lack of analytical effort. We have reviewed emissions reductions from ME strategies applied to buildings, cars, and electronics. We find that there can be a systematic trade-off between material use in the production of buildings, vehicles, and appliances and energy use in their operation, requiring a careful life cycle assessment of ME strategies. We find that the largest potential emission reductions quantified in the literature result from more intensive use of and lifetime extension for buildings and the light-weighting and reduced size of vehicles. Replacing metals and concrete with timber in construction can result in significant GHG benefits, but trade-offs and limitations to the potential supply of timber need to be recognized. Repair and remanufacturing of products can also result in emission reductions, which have been quantified only on a case-by-case basis and are difficult to generalize. The recovery of steel, aluminum, and copper from building demolition waste and the end-of-life vehicles and appliances already results in the recycling of base metals, which achieves significant emission reductions. Higher collection rates, sorting efficiencies, and the alloy-specific sorting of metals to preserve the function of alloying elements while avoiding the contamination of base metals are important steps to further reduce emissions.

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Environmental benefits from ridesharing: A case of Beijing

Cited by 135 publications

References 21 publications

Environmental benefits of bike sharing: A big data-based analysis

Environmental benefits of bike sharing: A big data-based analysis

A survey of models and algorithms for optimizing shared mobility

Material efficiency strategies to reducing greenhouse gas emissions associated with buildings, vehicles, and electronics—a review

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