- -

Identification of Factors Affecting the Performance of Rural Road Projects in Colombia

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Identification of Factors Affecting the Performance of Rural Road Projects in Colombia

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Gomez-Cabrera, Adriana es_ES
dc.contributor.author Sanz-Benlloch, María Amalia es_ES
dc.contributor.author Montalbán-Domingo, Laura es_ES
dc.contributor.author Ponz Tienda, José Luis es_ES
dc.contributor.author Pellicer, Eugenio es_ES
dc.date.accessioned 2020-12-08T04:31:54Z
dc.date.available 2020-12-08T04:31:54Z
dc.date.issued 2020-09-09 es_ES
dc.identifier.uri http://hdl.handle.net/10251/156561
dc.description.abstract [EN] Rural roads play an indispensable role in economic and social well-being, especially in developing countries, contributing to achieving the Sustainable Development Goals. For this reason, it is necessary to plan these projects properly to guarantee their success. In this line, the objective of this research is to identify significant variables generating overruns in time and cost using empirical data of 535 rural road projects in Colombia from 2015 to 2018. Bivariate analysis, with statistical tools like Spearman's Rho and Kruskal-Wallis, allowed identifying that higher values of variables like budget and project intensity are related to higher deviations in cost and time. Additionally, it was found that projects with shorter durations are reporting higher time overruns. The worst performers are projects executed in the year that council mayors start their terms, those developed in municipalities with more resources, and those awarded using a competitive bidding process. Multivariate analysis, through Random Forest, assessed the effect of considering all variables interacting simultaneously and ranking them in order of importance. The results demonstrated a relationship between cost and time performance, and that numerical variables are more significant than the categorical ones. This study contributes to a better understanding of the causes of delays and cost overruns on rural roads, providing useful insight for researchers and industry practitioners. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sustainability es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Rural roads es_ES
dc.subject Cost overruns es_ES
dc.subject Time overruns es_ES
dc.subject Public projects es_ES
dc.subject Project management es_ES
dc.subject.classification CONSTRUCCIONES ARQUITECTONICAS es_ES
dc.subject.classification INGENIERIA DE LA CONSTRUCCION es_ES
dc.subject.classification PROYECTOS DE INGENIERIA es_ES
dc.title Identification of Factors Affecting the Performance of Rural Road Projects in Colombia es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/su12187377 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Construcciones Arquitectónicas - Departament de Construccions Arquitectòniques es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil - Departament d'Enginyeria de la Construcció i de Projectes d'Enginyeria Civil es_ES
dc.description.bibliographicCitation Gomez-Cabrera, A.; Sanz-Benlloch, MA.; Montalbán-Domingo, L.; Ponz Tienda, JL.; Pellicer, E. (2020). Identification of Factors Affecting the Performance of Rural Road Projects in Colombia. Sustainability. 12(18):1-18. https://doi.org/10.3390/su12187377 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/su12187377 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 18 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.description.issue 18 es_ES
dc.identifier.eissn 2071-1050 es_ES
dc.relation.pasarela S\417764 es_ES
dc.description.references http://www.slocat.net/wp-content/uploads/legacy/u15/contribution_of_rural_transport_to_the_sustainable_development_goals_paper_final.pdf es_ES
dc.description.references Burrow, M. P. N., Evdorides, H., Ghataora, G. S., Petts, R., & Snaith, M. S. (2016). The evidence for rural road technology in low-income countries. Proceedings of the Institution of Civil Engineers - Transport, 169(6), 366-377. doi:10.1680/jtran.15.00089 es_ES
dc.description.references Muzira, S., de Díaz, D. H., & Mota, B. F. J. (2015). Rethinking Rural Road Infrastructure Delivery. Transportation Research Record: Journal of the Transportation Research Board, 2474(1), 195-202. doi:10.3141/2474-23 es_ES
dc.description.references FUNDACION PAZ Y RECONCILIACIONhttps://pares.com.co/2016/07/28/las-vias-terciarias-del-postconflicto/ es_ES
dc.description.references Frimpong, Y., Oluwoye, J., & Crawford, L. (2003). Causes of delay and cost overruns in construction of groundwater projects in a developing countries; Ghana as a case study. International Journal of Project Management, 21(5), 321-326. doi:10.1016/s0263-7863(02)00055-8 es_ES
dc.description.references Flyvbjerg, B., Skamris holm, M. K., & Buhl, S. L. (2003). How common and how large are cost overruns in transport infrastructure projects? Transport Reviews, 23(1), 71-88. doi:10.1080/01441640309904 es_ES
dc.description.references Kumaraswamy, M. M., & Chan, D. W. M. (1998). Contributors to construction delays. Construction Management and Economics, 16(1), 17-29. doi:10.1080/014461998372556 es_ES
dc.description.references Iyer, K. C., & Jha, K. N. (2006). Critical Factors Affecting Schedule Performance: Evidence from Indian Construction Projects. Journal of Construction Engineering and Management, 132(8), 871-881. doi:10.1061/(asce)0733-9364(2006)132:8(871) es_ES
dc.description.references Flyvbjerg, B., Holm, M. S., & Buhl, S. (2002). Underestimating Costs in Public Works Projects:Error or Lie? Journal of the American Planning Association, 68(3), 279-295. doi:10.1080/01944360208976273 es_ES
dc.description.references Shane, J. S., Molenaar, K. R., Anderson, S., & Schexnayder, C. (2009). Construction Project Cost Escalation Factors. Journal of Management in Engineering, 25(4), 221-229. doi:10.1061/(asce)0742-597x(2009)25:4(221) es_ES
dc.description.references Kaliba, C., Muya, M., & Mumba, K. (2009). Cost escalation and schedule delays in road construction projects in Zambia. International Journal of Project Management, 27(5), 522-531. doi:10.1016/j.ijproman.2008.07.003 es_ES
dc.description.references Mahamid, I., Bruland, A., & Dmaidi, N. (2012). Causes of Delay in Road Construction Projects. Journal of Management in Engineering, 28(3), 300-310. doi:10.1061/(asce)me.1943-5479.0000096 es_ES
dc.description.references Santoso, D. S., & Soeng, S. (2016). Analyzing Delays of Road Construction Projects in Cambodia: Causes and Effects. Journal of Management in Engineering, 32(6), 05016020. doi:10.1061/(asce)me.1943-5479.0000467 es_ES
dc.description.references Yang, J.-B., & Ou, S.-F. (2008). Using structural equation modeling to analyze relationships among key causes of delay in construction. Canadian Journal of Civil Engineering, 35(4), 321-332. doi:10.1139/l07-101 es_ES
dc.description.references Bhargava, A., Anastasopoulos, P. C., Labi, S., Sinha, K. C., & Mannering, F. L. (2010). Three-Stage Least-Squares Analysis of Time and Cost Overruns in Construction Contracts. Journal of Construction Engineering and Management, 136(11), 1207-1218. doi:10.1061/(asce)co.1943-7862.0000225 es_ES
dc.description.references Huo, T., Ren, H., Cai, W., Shen, G. Q., Liu, B., Zhu, M., & Wu, H. (2018). Measurement and Dependence Analysis of Cost Overruns in Megatransport Infrastructure Projects: Case Study in Hong Kong. Journal of Construction Engineering and Management, 144(3), 05018001. doi:10.1061/(asce)co.1943-7862.0001444 es_ES
dc.description.references FLYVBJERG, B., SKAMRIS HOLM, M. K., & BUHL, S. L. (2004). What Causes Cost Overrun in Transport Infrastructure Projects? Transport Reviews, 24(1), 3-18. doi:10.1080/0144164032000080494a es_ES
dc.description.references Odeck, J. (2004). Cost overruns in road construction—what are their sizes and determinants? Transport Policy, 11(1), 43-53. doi:10.1016/s0967-070x(03)00017-9 es_ES
dc.description.references Cantarelli, C. C., Molin, E. J. E., van Wee, B., & Flyvbjerg, B. (2012). Characteristics of cost overruns for Dutch transport infrastructure projects and the importance of the decision to build and project phases. Transport Policy, 22, 49-56. doi:10.1016/j.tranpol.2012.04.001 es_ES
dc.description.references Hauke, J., & Kossowski, T. (2011). Comparison of Values of Pearson’s and Spearman’s Correlation Coefficients on the Same Sets of Data. Quaestiones Geographicae, 30(2), 87-93. doi:10.2478/v10117-011-0021-1 es_ES
dc.description.references De Winter, J. C. F., Gosling, S. D., & Potter, J. (2016). Comparing the Pearson and Spearman correlation coefficients across distributions and sample sizes: A tutorial using simulations and empirical data. Psychological Methods, 21(3), 273-290. doi:10.1037/met0000079 es_ES
dc.description.references Gatignon, H. (2009). Introduction. Statistical Analysis of Management Data, 1-8. doi:10.1007/978-1-4419-1270-1_1 es_ES
dc.description.references Breiman, L. (2001). Machine Learning, 45(1), 5-32. doi:10.1023/a:1010933404324 es_ES
dc.description.references Auret, L., & Aldrich, C. (2012). Interpretation of nonlinear relationships between process variables by use of random forests. Minerals Engineering, 35, 27-42. doi:10.1016/j.mineng.2012.05.008 es_ES
dc.description.references Random Forest Regression-Towards Data Sciencehttps://towardsdatascience.com/random-forest-and-its-implementation-71824ced454f es_ES
dc.description.references Grömping, U. (2009). Variable Importance Assessment in Regression: Linear Regression versus Random Forest. The American Statistician, 63(4), 308-319. doi:10.1198/tast.2009.08199 es_ES
dc.description.references James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). Introduction. An Introduction to Statistical Learning, 1-14. doi:10.1007/978-1-4614-7138-7_1 es_ES
dc.description.references Oshiro, T. M., Perez, P. S., & Baranauskas, J. A. (2012). How Many Trees in a Random Forest? Lecture Notes in Computer Science, 154-168. doi:10.1007/978-3-642-31537-4_13 es_ES
dc.description.references Park, Y., & Papadopoulou, T. C. (2012). Causes of cost overruns in transport infrastructure projects in Asia. Built Environment Project and Asset Management, 2(2), 195-216. doi:10.1108/20441241211280873 es_ES
dc.description.references Gunduz, M., Nielsen, Y., & Ozdemir, M. (2015). Fuzzy Assessment Model to Estimate the Probability of Delay in Turkish Construction Projects. Journal of Management in Engineering, 31(4), 04014055. doi:10.1061/(asce)me.1943-5479.0000261 es_ES
dc.description.references Bagaya, O., & Song, J. (2016). Empirical Study of Factors Influencing Schedule Delays of Public Construction Projects in Burkina Faso. Journal of Management in Engineering, 32(5), 05016014. doi:10.1061/(asce)me.1943-5479.0000443 es_ES
dc.description.references Lo, T. Y., Fung, I. W., & Tung, K. C. (2006). Construction Delays in Hong Kong Civil Engineering Projects. Journal of Construction Engineering and Management, 132(6), 636-649. doi:10.1061/(asce)0733-9364(2006)132:6(636) es_ES
dc.description.references Kaka, A., & Price, A. D. F. (1991). Relationship between value and duration of construction projects. Construction Management and Economics, 9(4), 383-400. doi:10.1080/01446199100000030 es_ES
dc.description.references Kumaraswamy ∗, M. M., & Chan, D. W. M. (1995). Determinants of construction duration. Construction Management and Economics, 13(3), 209-217. doi:10.1080/01446199500000025 es_ES
dc.subject.ods 10.- Reducir las desigualdades entre países y dentro de ellos es_ES
dc.subject.ods 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem