The cost of traffic : evidence from the London Congestion Charge

This paper exploits the implementation of the London Congestion Charge (LCC) to provide credible estimates on the willingness to pay to avoid traffic using the housing market. This policy curtails road traffic by imposing a fee on anyone driving into the charge zone. My results show that the LCC is...

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Main Author: Tang, Cheng Keat
Other Authors: School of Social Sciences
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/146475
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1464752023-03-05T15:32:02Z The cost of traffic : evidence from the London Congestion Charge Tang, Cheng Keat School of Social Sciences Economics Business::General::Economic and business aspects London Congestion Charge (LCC) Traffic Conditions This paper exploits the implementation of the London Congestion Charge (LCC) to provide credible estimates on the willingness to pay to avoid traffic using the housing market. This policy curtails road traffic by imposing a fee on anyone driving into the charge zone. My results show that the LCC is associated with significant improvement in traffic conditions and housing values. Instrumenting local traffic conditions with the enforcement of the LCC, and limiting the analysis to properties proximate to the charge boundary, I find that the elasticity of housing values with respect to traffic is -0.30. These findings suggest that the consequential improvement in traffic conditions due to the LCC has generated substantial windfall of more than £3.8 billion for homeowners in the zone. Accepted version 2021-02-18T06:06:06Z 2021-02-18T06:06:06Z 2021 Journal Article Tang, C. K. (2021). The cost of traffic : evidence from the London Congestion Charge. Journal of Urban Economics, 121, 103302-. doi:10.1016/j.jue.2020.103302 0094-1190 https://hdl.handle.net/10356/146475 10.1016/j.jue.2020.103302 121 103302 en Journal of Urban Economics © 2020 Elsevier Inc. All rights reserved. This paper was published in Journal of Urban Economics and is made available with permission of Elsevier Inc. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Business::General::Economic and business aspects
London Congestion Charge (LCC)
Traffic Conditions
spellingShingle Business::General::Economic and business aspects
London Congestion Charge (LCC)
Traffic Conditions
Tang, Cheng Keat
The cost of traffic : evidence from the London Congestion Charge
description This paper exploits the implementation of the London Congestion Charge (LCC) to provide credible estimates on the willingness to pay to avoid traffic using the housing market. This policy curtails road traffic by imposing a fee on anyone driving into the charge zone. My results show that the LCC is associated with significant improvement in traffic conditions and housing values. Instrumenting local traffic conditions with the enforcement of the LCC, and limiting the analysis to properties proximate to the charge boundary, I find that the elasticity of housing values with respect to traffic is -0.30. These findings suggest that the consequential improvement in traffic conditions due to the LCC has generated substantial windfall of more than £3.8 billion for homeowners in the zone.
author2 School of Social Sciences
author_facet School of Social Sciences
Tang, Cheng Keat
format Article
author Tang, Cheng Keat
author_sort Tang, Cheng Keat
title The cost of traffic : evidence from the London Congestion Charge
title_short The cost of traffic : evidence from the London Congestion Charge
title_full The cost of traffic : evidence from the London Congestion Charge
title_fullStr The cost of traffic : evidence from the London Congestion Charge
title_full_unstemmed The cost of traffic : evidence from the London Congestion Charge
title_sort cost of traffic : evidence from the london congestion charge
publishDate 2021
url https://hdl.handle.net/10356/146475
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