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Erschienen in: Transportation 1/2008

01.01.2008

The effect of the London congestion charge on road casualties: an intervention analysis

verfasst von: Robert B. Noland, Mohammed A. Quddus, Washington Y. Ochieng

Erschienen in: Transportation | Ausgabe 1/2008

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Abstract

The introduction of the congestion charge in central London on the 17th of February, 2003, led to a reduction in congestion. One factor that has not been fully analysed is the impact of the congestion charge on traffic casualties in London. Less car travel within the charging zone may result in fewer traffic collisions, however, as the number of pedestrians, cyclists, and motorcyclists increased after the introduction of the congestion charge, the number of traffic casualties associated with these groups may also have increased. Reductions in congestion can also lead to faster speeds. Therefore, there could be increases in injury severity for those crashes that do occur. An intervention analysis was conducted to investigate the effect of the congestion charge on traffic casualties for motorists, pedestrians, cyclists, and motorcyclists, both within the charging zone and in areas of London outside the zone. This was done for killed and serious injuries (known as KSI in British terminology) and for slight injuries to examine whether there were any shifts in severity outcomes. Our results suggest no statistically significant effect for total casualties in London, but within the charging zone there has been a statistically significant drop in motorist casualties, and possibly an increase in cyclist casualties. There is an associated effect of an increase in casualties of motorcyclists and cyclists in some areas outside the charging zone, suggesting that changes in the design of the congestion charge may be needed to achieve reductions in casualties.

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Fußnoten
1
In February 2007, the charging zone was further extended to the west.
 
2
Traffic casualties include only those crashes where there was a fatality or an injury to a person.
 
3
A stochastic process is said to be non-stationary if its mean and variance are not constant over time and the value of the covariance between two time periods depends on the actual time at which the covariance is computed.
 
4
Another approach for examining before and after effects is the Empirical Bayes method, as promoted by Ezra Hauer (see for example, Hauer et al. 2002). Other approaches that use data that varies over time are based on annualized data, allowing panel data techniques to be used (see, for example, Miaou et al. (2003) and Noland (2003)). Noland and Karlaftis (2005) compare some of these methods and highlight the potential problems with controlling for serial correlation. Our data is not suited for use with panel methods, as it is a monthly time-series, requiring trend and seasonal adjustments.
 
5
Transport for London supplies the London data for the STATS19 database. We obtained the data direct from TfL only because 2003–2004 data had not yet been incorporated in STATS19.
 
6
Other possible control variables included total passenger cars and gross-value added (GVA) for London; however, these were only available in quarterly time-series and were also highly correlated with the total crashes within London.
 
7
The use of total KSI as the dependent variable allows us to evaluate the policy impact most effectively. We are not seeking to evaluate just crashes but their impact, which is most important if one is concerned with the costs and benefits of a policy intervention.
 
8
These other factors are not included in our models for two reasons. First, we do not have detailed data on how these have changed over the time period in question. Second, inclusion of these variables are not necessary since the ARIMA process controls for confounding factors; making the model more complex can actually introduce additional specification problems, such as regression to the mean, or collinearity between effects and trends.
 
9
Based on adding the coefficients for slight injuries and KSI (4.7 + 0.9 = 5.6) which give a monthly reduction and multiplying by 12.
 
10
For example, see the following website from Honda motorcycles after the increase in the congestion fee to £8: http://​www.​honda.​co.​uk/​news/​motorcycles/​20050727.​html (accessed 24 May 2007).
 
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Metadaten
Titel
The effect of the London congestion charge on road casualties: an intervention analysis
verfasst von
Robert B. Noland
Mohammed A. Quddus
Washington Y. Ochieng
Publikationsdatum
01.01.2008
Verlag
Springer US
Erschienen in
Transportation / Ausgabe 1/2008
Print ISSN: 0049-4488
Elektronische ISSN: 1572-9435
DOI
https://doi.org/10.1007/s11116-007-9133-9

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