Abstract
AbstractThis paper aims to evaluate the impacts of the economic context on traffic congestion and its consequential effects on private vehicle accessibility. We conduct a long-term analysis of spatiotemporal traffic congestion patterns in Madrid (Spain), comparing two urban realms: the 2008 economic crisis and the following post-crisis situation. We apply TomTom Speed Profiles data to assess daily variations in traffic congestion and their changes between both periods, and Twitter data to capture spatial patterns of the daily pulse of the city. Increased traffic, a by-product of economic recovery, resulted in higher congestion, particularly during peak hours. Nevertheless, these changes are spatially uneven. In the city core, an increase in congestion is relatively temporally homogeneous, while in the peripheral suburban zones, there has been only a marginal increase in travel times. On the other hand, in the urban outskirts, increased traffic congestion is more severe but visibly different between north and south. These differences have strong social connotations: over 40% of the population experienced a dramatic increase in travel times (more than 25%) during peak hours. Moreover, low-income groups are more likely to live in the more affected southern districts, suffering most the negative consequences of increased congestion.
Funder
Universidad de Castilla-La Mancha
Ministerio de Ciencia, Innovación y Universidades
Agencia Estatal de Investigación
Publisher
Springer Science and Business Media LLC
Subject
Transportation,Development,Civil and Structural Engineering
Reference57 articles.
1. Angeles Perez, G.V., Castillejos Lopez, J., Cabello, A.L.R., Grajales, E.B., Espinosa, A.P., Fabian, J.L.Q.: Road traffic accidents analysis in mexico city through crowdsourcing data and data mining techniques. Int. J. Comput. Inf. Eng. 12, 604–608 (2018)
2. Bartosiewicz, B., Wiśniewski, S.: The use of modern information technology in research on transport accessibility. Transp. Probl. 10 (2015)
3. Boarnet, M.G., Kim, E.J., Parkany, E.: Measuring traffic congestion. Transp. Res. Rec. J. Transp. Res. Board 1634, 93–99 (1998)
4. Boisjoly, G., El-Geneidy, A.: Daily fluctuations in transit and job availability: a comparative assessment of time-sensitive accessibility measures. J. Transp. Geogr. 52, 73–81 (2016). https://doi.org/10.1016/j.jtrangeo.2016.03.004
5. Cascajo, R., Diaz Olvera, L., Monzón, A., Plat, D., Ray, J.-B.: Impacts of the economic crisis on household transport expenditure and public transport policy: evidence from the Spanish case. Transp. Policy 65, 40–50 (2018). https://doi.org/10.1016/j.tranpol.2017.06.001
Cited by
14 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献