Road Traffic Demand Elasticity Estimates: A Review
By Daniel J. Graham, Stephen Murray Glaister. 2004
393 citations recorded by the source corpus.
Subfields: Automotive Engineering, Building and Construction, Transportation
View Paper: https://www.semanticscholar.org/paper/b7724412835019c559b55d368b2e9a379fb049f3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
In Building and Construction
- T. Sterner
- Chris Nash
- M. Givoni
- Tim Schwanen
- Robert B. Noland
- Daniel J. Graham
- David Banister
- Niovi Karathodorou
In Transportation
Citations in the corpus
- Elasticities of Road Traffic and Fuel Consumption with Respect to Price and Income: A Review (2004, background): “This is a companion paper to Graham and Glaister (2004) .”
- Estimating the Effect of Urban Density on Fuel Demand (2009, background): “Graham and Glaister (2004) reviewed elasticities as high as 1.71 in the short-run and 2.68 in the long-run.”
- Policy instruments for reducing greenhouse gas emissions from transport in Europe (2010, background): “The results of an international survey of a large number of econometric studies, undertaken by Graham and Glaister (2004) show short run elasticities of road fuel demand and car km with respect to price of –0.”
- Heterogeneity in the rebound effect: Further evidence for Germany (2012, neutral): “A survey by GRAHAM and GLAISTER (2004), for example, cites mean fuel demand elasticities – from which rebound effects can be derived – varying between -0.25 in the short-run and -0.77 in the long-run.”
- Anticipation, Tax Avoidance, and the Price Elasticity of Gasoline Demand (2015, neutral): “The reviews by Dahl and Sterner (1991), Espey (1998), Greene et al. (1999), Graham and Glaister (2004) and Brons et al. (2008) identify dozens of econometric studies of this elasticity.”
- Fuel taxes : An important instrument for climate policy (2007, background): “Graham and Glaister (2004) find slightly lower values: price elasticities between 0.6 and 1 and income elasticities just above one.5 Graham and Gleister conclude their survey of surveys and studies which build on many hundreds of studies, by saying that despite some variation in individual values,…”
- Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound (2019, result): “While this is significantly larger than our fuel price elasticity estimate, such a large difference is consistent with the findings of the travel demand literature [10,11,13,38].”
- Transportation and the environment. (2011, background): “Even if these life cycle factors are included in the costs of transport (internalized), they have little effect on transport volumes (51), as the demand elasticities for travel are low, and because rising income levels reduce the effectiveness of higher prices (52, 53).”