The effect of residential location on vehicle miles of travel, energy consumption and greenhouse gas emissions: Chicago case study

Lindsey, Marshall; Schofer, Joseph L.; Durango-Cohen, Pablo L.; Gray, Kimberly A.

doi:10.1016/j.trd.2010.08.004

Cited by 50 publications

(18 citation statements)

References 9 publications

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“…Those living in outerurban area households tend to travel longer distances for work and use less fuel-efficient vehicles, which increase vehicle fuel consumption in these areas. Despite using different datasets, this finding is similar to that of Lindsey et al (2011) who found that in the U.S. cities, transport energy value increases with distance from the CBD with some deviation at local levels influenced by vehicle type used.…”

Section: Vehicle Trip Fuel Consumptionsupporting

confidence: 87%

“…Despite using different datasets, this finding is similar to that of Lindsey et al . () who found that in the U.S. cities, transport energy value increases with distance from the CBD with some deviation at local levels influenced by vehicle type used.…”

Section: Resultsmentioning

confidence: 99%

“…In a more recent study, Lindsey et al . () used recent vehicle travel survey data to analyse vehicle energy use in Chicago. Through an explicit analysis of travel patterns and vehicle energy efficiency, they found that the variation in household transport energy consumption can be partly explained by differences in the vehicle fleet.…”

Section: Geographical Study Of Urban Transport Energymentioning

confidence: 99%

“…Although the analysis provided a measure of energy consumption based on the vehicle travel data, the use of uniform vehicle fuel efficiency coefficients across all vehicle types is a limitation. In a more recent study, Lindsey et al (2011) used recent vehicle travel survey data to analyse vehicle energy use in Chicago. Through an explicit analysis of travel patterns and vehicle energy efficiency, they found that the variation in household transport energy consumption can be partly explained by differences in the vehicle fleet.…”

Section: Geographical Study Of Urban Transport Energymentioning

confidence: 99%

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Investigating Private Motorised Travel and Vehicle Fleet Efficiency: Using New Data and Methods to Reveal Socio‐Spatial Patterns in Brisbane, Australia

Sipe

Dodson

2013

Geographical Research

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Australian cities have seen continued long‐term growth in private motor vehicle travel that has imposed increasing vehicle energy consumption and greenhouse gas emissions. This paper investigates the spatial patterns of vehicle energy consumption on urban areas through an analysis of vehicle travel and of vehicle fleet efficiency in Brisbane, Australia. This is achieved by combining motor vehicle registration records and Australian government's ‘Green Vehicle Guide’ of vehicle fuel efficiency database. The results of a spatial analysis of the private vehicle trip distances derived from journey to work data and fuel energy consumption associated with the private‐owned vehicles decomposed to local areas show that private vehicle energy use tends to increase with increasing distance from the city centre (e.g. central business district). This analysis demonstrates that differences in vehicle trip distances and lower proportions of high‐efficiency vehicles in the outer suburbs aggravate vehicle energy consumption in those locations. The paper further compares vehicle energy use results for Brisbane against spatial patterns of suburban socio‐economic disadvantage. The paper demonstrates that access to vehicle fleet technology may compound other forms of socio‐economic disadvantage and vulnerability.

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Section: Vehicle Trip Fuel Consumptionsupporting

confidence: 87%

Section: Resultsmentioning

confidence: 99%

Section: Geographical Study Of Urban Transport Energymentioning

confidence: 99%

Section: Geographical Study Of Urban Transport Energymentioning

confidence: 99%

See 2 more Smart Citations

Investigating Private Motorised Travel and Vehicle Fleet Efficiency: Using New Data and Methods to Reveal Socio‐Spatial Patterns in Brisbane, Australia

Sipe

Dodson

2013

Geographical Research

View full text Add to dashboard Cite

show abstract

“…Lindsey et al (2011) explore the relationship between Vehicle Kilometers Traveled (VKT) and urban form characteristics at grid cell level. Yang (2008) examines the relationship between excess commuting distance and urban spatial structure at census tract level.…”

Section: Introductionmentioning

confidence: 99%