Skip to main content

Advertisement

Log in

Urban transport infrastructure and household welfare: evidence from Colombia

  • Published:
Empirical Economics Aims and scope Submit manuscript

Abstract

The effects of urban transport policies on household welfare are a broadly understudied topic in developing countries. This paper analyzed the distributional effects of a bus rapid transit (BRT) system in Barranquilla, Colombia. Using geocoded household survey data over 2008-15 and a difference in differences approach, it showed that, in proximity to newly opened stations, poor households were replaced by non-poor households. These results suggested that the designers of such systems, despite the generally positive assessment of the systems, may have overlooked distributional consequences. Moreover, it showed that results in studies that do not control for the observed changes will be biased.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. See Global BRT Data (database), World Resources Institute’s Ross Center, Brasil Sustainable Cities, Porto Alegre, Brazil, https://brtdata.org/.

  2. Papers that studied intra-city transport infrastructures most notably include (Gibbons and Machin 2005; Baum-Snow and Kahn 2005; Baum-Snow 2007; Billings 2011; Ahlfeldt et al. 2015; Tyndall 2017; Tsivanidis 2018), Scholl et al. (2019), (Heblich et al. 2020; Gaduh et al. 2021; Balboni et al. 2021), and (Zarate 2021). Studies that examined these impacts with an inter-city or region lens include (Duranton et al. 2014; Donaldson and Hornbeck 2016; Gonzalez-Navarro and Turner 2018; Fajgelbaum and Schaal 2017; Donaldson 2018; Monte et al. 2018; Donaldson 2018; Allen and Arkolakis 2019) and (Baum-Snow et al. 2020)

  3. This is similar to the attrition bias in randomized control trials.

  4. The remainder of the literature on BRT systems focused on performance metrics, such as operating costs, financial sustainability, or changes in ridership (Alpkokin and Ergun 2012; Deng and Nelson 2013). A number of studies compared the performance of BRT systems to other transport infrastructure considering these factors (see, for instance, Cervero 2013). Studies in this line have found positive impacts of Bogotá’s TransMilenio system in Colombia  (Chaparro 2002; Hidalgo et al. 2013), while others found negative effects among users in areas further away Echeverry et al. (2005), as well as negative externalities-specifically, the expansion of criminality associated with the greater mobility of criminals, as a boomerang effect of the BRT Olarte-Bacares (2014). Alternatively, in a survey of BRT systems across the world, (Hidalgo and Gutiérrez 2013) highlighted the substantial associated positive externalities. Other research took an equity lens, in addition to assessing the impact of BRT systems on employment, ridership distribution, accessibility, and health. Venter et al. (2018) and Venter et al. (2013) provided excellent reviews.

  5. This effect was found in locations already serviced; values did not rise in areas previously lacking a BRT station but that were serviced by the extension.

  6. The effect of BRT infrastructure was not significant and, negative in some cases.

  7. Few studies who found different results are (Mulley and Tsai 2016; Mulley et al. 2016) and (Mulley and Tsai 2017).

  8. Redding and Rossi-Hansberg (2017) provided a comprehensive review of this literature.

  9. For these and other data on the system, see ’Te une a Barranquilla’ Transmetro S.A., Barranquilla, Colombia, http://www.transmetro.gov.co/.

  10. The survey covers all of the country’s 13 major metropolitan areas on a quarterly basis.

  11. While a few blocks enter with a single household, the maximum number of households per block is 77. The average is close to the median at 19.34.

  12. The figure is only a schematic representation and not based on actually observed blocks.

  13. The 2016 round of the GEIH was not yet available in December, but other information on the transportation network was available and allow us to control for the characteristics of the neighborhoods that are close to a station.)

  14. To be more specific 121 are sampled three times; 27, four times; 7, five times; 2, six times, and one 19 times.

  15. The number of households in some other arrangement is negligible, at an average 0.13.

  16. All estimations shown here were implemented in Stata.

  17. These categories followed the official definitions used by DANE, putting homes inhabited in usufruct into the same broader category as homeowners.

References

  • Ahlfeldt GM, Redding SJ, Sturm DM, Wolf N (2015) The economics of density: evidence from the berlin wall. Econometrica 83(6):2127–2189

    Article  Google Scholar 

  • Allen T, Arkolakis C (2019) The welfare effects of transportation infrastructure improvements. nBER Working Paper no. 25487

  • Alpkokin P, Ergun M (2012) Istanbul metrobus: first intercontinental bus rapid transit. J Transp Geogr 24:58–66

    Article  Google Scholar 

  • Balboni C, Bryan G, Morten M, Siddiqi B (2021) Transportation, gentrification, and urban mobility: the inequality effects of place-based policies (unpublished mimeo)

  • Baum-Snow N (2007) Did highways cause suburbanization? Q J Econ 122:775–805

    Article  Google Scholar 

  • Baum-Snow N, Kahn EM (2005) Effects of urban rail transit expansions: evidence from sixteen cities, 1970–2000. Brookings Wharton Pap Urban Aff 1:147–197

    Article  Google Scholar 

  • Baum-Snow N, Henderson JV, Turner MA, Zhang Q, Brand L (2020) Does investment in national highways help or hurt hinterland city growth? J Urban Econ 115:103–124

    Article  Google Scholar 

  • Billings SB (2011) Estimating the value of a new transit option. Reg Sci Urban Econ 41:525–536

    Article  Google Scholar 

  • Carrigan A, King R, Velásquez JM, Duduta N, Raifman M (2013) Social, environmental and economic impacts of bus rapid transit. Tech. rep., Ross Center: World Resources Institute

  • Cervero R (2013) Bus rapid transit (brt): an efficient and competitive mode of public transport, iURD Working Paper 2013-01, 1- 45. UC Berkeley: Institute of Urban and Regional Development

  • Cervero R, Kang CD (2011) Bus rapid transit impacts on land uses and land values in Seoul, Korea. Transp Policy 18:102–116

    Article  Google Scholar 

  • Chaparro I (2002) Evaluación del impacto socioeconómico del transporte urbano en la ciudad de bogotá.el caso del sistema de transporte masivo, transmilenio. Tech. rep., ECLAC, serie Recursos Naturales e Infraestructura no. 48

  • CONPES (2003) Republica de colombia, departamento nacional de planeacion, consejo nacional de politica economica y social. Conpes 3260 de 2003, Politica Nacional de Transporte Urbano y Masivo

  • CONPES (2004) Republica de colombia, departamento nacional de planeacion, consejo nacional de politica economica y social. Conpes 3306 de 2004, Sistema Integrado del 26. Servicio PÃblico Urbano de Transporte Masivo de Pasajeros del Distrito de Barranquilla y su Area Metropolitana

  • Cortés AR, Lopera AM, Mitnik AO, Yañez Pagans P (2017) Impact evaluation in transport. Tech. rep, Inter-American Development Bank

  • Deng T (2013) Impacts of transport infrastructure on productivity and economic growth: recent advances and research challenges. Transp Rev 33(6):686–699

    Article  Google Scholar 

  • Deng T, Nelson JD (2010) The impact of bus rapid transit on land development: a case study of Beijing, China. World Acad. Sci. Eng. Technol. 4(6):1169–1179

    Google Scholar 

  • Deng T, Nelson JD (2013) Bus rapid transit implementation in Beijing: an evaluation of performance and impacts. Res Transp Econ 39:108–113

    Article  Google Scholar 

  • Donaldson D (2018) Railroads of the raj: estimating the impact of transportation infrastructure. Am Econ Rev 108(4–5):899–934

    Article  Google Scholar 

  • Donaldson D, Hornbeck R (2016) Railroads and American economic growth: a ‘market access’ approach. Q J Econ 131(2):799–858

    Article  Google Scholar 

  • Dubé J, Des-Rosiers F, Thériault M, Dib P (2011) Economic impact of a supply change in mass transit in urban areas: a Canadian example. Transp Res Part A Policy Pract 45(1):46–62

    Article  Google Scholar 

  • Duranton G, Morrow PM, Turner MA (2014) Roads and trade: evidence from the us. Rev Econ Stud 81:681–724

    Article  Google Scholar 

  • Echeverry JC, Ibanez AM, Moya A, Hillon LC, Cárdenas M, Gómez-Lobo A (2005) The economics of transmilenio, a mass transit system for bogotá [with comments]. Economía 5(2):151–196

    Article  Google Scholar 

  • Fajgelbaum PD, Schaal E (2017) Optimal transport networks in spatial equilibrium, nBER Working Paper no. 23200

  • Gaduh A, Gracner T, A RD (2021) Life in the slow lane: unintended consequences of public transit in Jakarta (unpublished mimeo)

  • Gibbons S, Machin S (2005) Valuing rail access using transport innovation. J Urban Econ 57:148–169

    Article  Google Scholar 

  • Glaeser EL, Kahn ME, Rappaport J (2008) Why do the poor live in cities? the role of public transportation. J Urban Econ 63:1–24

    Article  Google Scholar 

  • Gonzalez-Navarro M, Turner MA (2018) Subways and urban growth: evidence from earth. J Urban Econ 108:85–106

    Article  Google Scholar 

  • Guzman LA, Enríquez HD, Hessel P (2021) Brt system in bogotá and urban effects: more residential land premiums? Res Transp Econ 90:101039

    Article  Google Scholar 

  • Heblich S, Redding SJ, Sturm DM (2020) The making of the modern metropolis: evidence from London. Q J Econ 135(4):2059–2133

    Article  Google Scholar 

  • Heres DR, Jack D, Deborah S (2014) Do public transport investments promote urban economic development? evidence from bus rapid transit in Bogotá, Colombia. Transportation 41:57–74

    Article  Google Scholar 

  • Hess DB, Almeida TM (2007) Impact of proximity to light rail rapid transit on station-area property values in buffalo, New York. Urban Stud 44(5/6):1041–1068

    Article  Google Scholar 

  • Hidalgo D, Gutiérrez L (2013) BRT and BHLS around the world: explosive growth, large positive impacts and many issues outstanding. Res Transp Econ 39:8–13

    Article  Google Scholar 

  • Hidalgo D, Liliana P, Estpiñán N, Jiménez PL (2013) Transmilenio brt system in bogotá, high performance and positive impact—main results of an ex-post evaluation. Res Transp Econ 39:133–138

    Article  Google Scholar 

  • Jun MJ (2012) Redistributive effects of bus rapid transit (brt) on development patterns and property values in Seoul, Korea. Transp Policy 19:85–92

    Article  Google Scholar 

  • Monte F, Redding SJ, Rossi-Hansberg E (2018) Commuting, migration and local employment elasticities. Am Econ Rev 108:3855–3890

    Article  Google Scholar 

  • Mulley C, Tsai CH (2016) When and how much does new transport infrastructure add to property values? evidence from the bus rapid transit system in Sydney, Australia. Transp Policy 51:15–23

    Article  Google Scholar 

  • Mulley C, Tsai CH (2017) The impact of bus rapid transit on housing price and accessibility changes in Sydney: a repeat sales approach. Int J Sustain Transp 11:3–10

    Article  Google Scholar 

  • Mulley C, Ma L, Clifton G, Yen B, Burke M (2016) Residential property value impacts of proximity to transport infrastructure: an investigation of bus rapid transit and heavy rail networks in Brisbane, Australia. J Transp Geogr 54:41–52

    Article  Google Scholar 

  • Munoz-Raskin R (2010) Walking accessibility to bus rapid transit: does it affect property values? the case of Bogotá, Colombia. Transp Policy 17:72–84

    Article  Google Scholar 

  • Olarte-Bacares CA (2013) Do public transport improvements increase employment and income in a city? (unpublished working paper)

  • Olarte-Bacares CA (2014) Impact of urban public transport enhancements on crime rate: a diff-diff analysis for the case of transmilenio, mPRA Paper no. 53967

  • Yañez Pagans P, Martínez D, Mitnik AO, Scholl L, Vázquez A (2019) Urban transport systems in Latin America and the Caribbean: challenges and lessons learned. Lat Am Econ Rev 28(1):1–15

    Article  Google Scholar 

  • Perdomo-Calvo JA (2011) A methodological proposal to estimate changes of residential property value: case study developed in Bogotá. Appl Econ Lett 18:1577–1581

    Article  Google Scholar 

  • Perdomo-Calvo JA (2017) The effects of the bus rapid transit infrastructure on the property values in Colombia. Travel Behav Soc 6:90–99

    Article  Google Scholar 

  • Perk VA, Catalá M (2009) Land use impacts of bus rapid transit. Effects of brt station proximity on property values along the Pittsburgh Martin Luther King, Jr. east busway. Tech. rep., Federal Transit Administration, report Number: FTA-FL-26-7109.2009.6

  • Redding SJ, Rossi-Hansberg E (2017) Quantitative spatial economics. Ann Rev Econ 9:21–58

    Article  Google Scholar 

  • Redding SJ, Turner MA (2016) Handbook of regional and urban economics, Volume 5B, Elsevier, chap Chapter 20: Transportation Costs and the Spatial Organization of Economic Activity

  • Rodríguez DA, Mojica CH (2009) Capitalization of brt network expansions effects into prices of non-expansion areas. Transp Res Part A 43:560–571

    Google Scholar 

  • Rodríguez DA, Targa F (2004) Value of accessibility to Bogotá bus rapid transit system. Transp Rev 24(5):587–610

    Article  Google Scholar 

  • Rodríguez DA, Vergel-Tovar E, Camargo WF (2016) Land development impacts of brt in a sample of stops in Quito and Bogotá. Transp Policy 51:4–14

    Article  Google Scholar 

  • Scholl L, Mitnik OA, Oviedo D, Yañez-Pagans P (2019) A rapid road to employment? The impacts of a bus rapid transit system in lima. The Impacts of a Bus Rapid Transit System in Lima

  • Severen C (2018) Commuting, labor, and housing market effects of mass transportation: welfare and identification., working Paper 14-18, Federal Reserve Bank of Philadelphia

  • Stokenberga A (2014) Does bus rapid transit influence urban land development and property values: a review of the literature. Transp Rev 34(3):276–296

    Article  Google Scholar 

  • Tsivanidis JN (2018) The aggregate and distributional effects of urban transit infrastructure: evidence from bogotá’s transmilenio. University of Chicago, Tech. rep

  • Tyndall J (2017) Waiting for the R train: public transportation and employment. Urban Stud 54(2):520–537

    Article  Google Scholar 

  • Venter C, Hidalgo D, Valderrama-Pineda AF (2013) Assessing the equity impacts of bus rapid transit: emerging frameworks and evidence. Paper presented at the 13th world conference on transportation research, Rio de Janeiro, Brazil

  • Venter C, Jennings G, Hidalgo D (2018) Valderrama-Pineda AF (forthcoming) The equity impacts of bus rapid transit: a review of the evidence and implications for sustainable transport. International Journal of Sustainable Transportation 12(2):140–152

    Article  Google Scholar 

  • Warnes PE (2020) Transport infrastructure improvements and spatial sorting: evidence from Buenos Aires (unpublished working paper)

  • Zarate DZ (2021) Spatial misallocation, informality, and transit improvements: evidence from Mexico City (unpublished mimeo)

  • Zhang M, Meng X, Wang L, Xu T (2014) Transit development shaping urbanization: evidence from the housing market in Beijing. Habitat Int 44:545–554

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tobias Pfutze.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The authors would like to thank Erich Battistin, Samantha Lach, Nancy Lozano, Ambar Narayan, Sergio Olivieri, Lourdes Rodriguez-Chamussy, Paul Rodriguez-Lesmes, Tara Vishwanath, Robert Zimmerman, and participants of the 2015 Learning Days of the Poverty Global Practice at the World Bank, the 2016 Summer University of the Poverty and Equity Global Practice at the World Bank, and the FAD Seminar at the International Monetary Fund for their thoughtful and useful comments. The authors would also like to acknowledge Sarah Knob and Luz Karine Ardila Vargas for their outstanding research assistance. The findings, interpretations, and conclusions in this paper are entirely those of the authors. They do not necessarily represent the view of the World Bank Group, its Executive Directors, or the countries they represent.

The authors would like to thank Erich Battistin, Samantha Lach, Nancy Lozano, Ambar Narayan, Sergio Olivieri, Lourdes Rodriguez-Chamussy, Paul Rodriguez-Lesmes, Tara Vishwanath, Robert Zimmerman, and participants of the 2015 Learning Days of the Poverty Global Practice at the World Bank, the 2016 Summer University of the Poverty and Equity Global Practice at the World Bank, and the FAD Seminar at the International Monetary Fund for their thoughtful and useful comments. The authors would also like to acknowledge Sarah Knob and Luz Karine Ardila Vargas for their outstanding research assistance. The findings, interpretations, and conclusions in this paper are entirely those of the authors. They do not necessarily represent the view of the World Bank Group, its Executive Directors, or the countries they represent.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file 1 (pdf 4032 KB)

Supplementary file 2 (pdf 921 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pfutze, T., Rodríguez-Castelán, C. & Valderrama, D. Urban transport infrastructure and household welfare: evidence from Colombia. Empir Econ 65, 1409–1432 (2023). https://doi.org/10.1007/s00181-023-02385-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00181-023-02385-y

Keywords

JEL Classification

Navigation