TY  - JOUR
AU  - Ćirilović Stanković, Jelena
AU  - Vajdić, Nevena
AU  - Mladenović, Goran
AU  - Queiroz, Cesar
PY  - 2014
UR  - http://rims.institutims.rs/handle/123456789/231
AB  - This paper presents the development of prediction models for the unit costs of road works that could be applied to strategic planning of road works at the network level. A specialized data set was used, which was generated under a World Bank study that included 200 road work contracts from 14 countries in Europe and Central Asia (ECA) and signed between 2000 and 2010. Two techniques were used for model development: multiple regression analysis and artificial neural networks. Classification trees were used as an intermediate step to evaluate the correctness of the selected parameters. A total of 19 variables, divided into three groups (oil-price related, country-related, and project-related variables), were tested for their influence on unit cost of asphalt concrete (AC) and road rehabilitation and reconstruction (RRR) costs. The analysis results showed that the level of corruption and the economic environment in a country have a significant effect on both costs of AC and RRR. The resulting models could be particularly useful for the planning and optimization of work on road networks in ECA countries. However, the approach and methodology used for model developments may be applied generally.
PB  - ASCE - American Society of Civil Engineers
T2  - Journal of Construction Engineering and Management
T1  - Developing Cost Estimation Models for Road Rehabilitation and Reconstruction: Case Study of Projects in Europe and Central Asia
IS  - 3
VL  - 140
DO  - 10.1061/(ASCE)CO.1943-7862.0000817
ER  - 

@article{
author = "Ćirilović Stanković, Jelena and Vajdić, Nevena and Mladenović, Goran and Queiroz, Cesar",
year = "2014",
abstract = "This paper presents the development of prediction models for the unit costs of road works that could be applied to strategic planning of road works at the network level. A specialized data set was used, which was generated under a World Bank study that included 200 road work contracts from 14 countries in Europe and Central Asia (ECA) and signed between 2000 and 2010. Two techniques were used for model development: multiple regression analysis and artificial neural networks. Classification trees were used as an intermediate step to evaluate the correctness of the selected parameters. A total of 19 variables, divided into three groups (oil-price related, country-related, and project-related variables), were tested for their influence on unit cost of asphalt concrete (AC) and road rehabilitation and reconstruction (RRR) costs. The analysis results showed that the level of corruption and the economic environment in a country have a significant effect on both costs of AC and RRR. The resulting models could be particularly useful for the planning and optimization of work on road networks in ECA countries. However, the approach and methodology used for model developments may be applied generally.",
publisher = "ASCE - American Society of Civil Engineers",
journal = "Journal of Construction Engineering and Management",
title = "Developing Cost Estimation Models for Road Rehabilitation and Reconstruction: Case Study of Projects in Europe and Central Asia",
number = "3",
volume = "140",
doi = "10.1061/(ASCE)CO.1943-7862.0000817"
}

Ćirilović Stanković, J., Vajdić, N., Mladenović, G.,& Queiroz, C.. (2014). Developing Cost Estimation Models for Road Rehabilitation and Reconstruction: Case Study of Projects in Europe and Central Asia. in Journal of Construction Engineering and Management
ASCE - American Society of Civil Engineers., 140(3).
https://doi.org/10.1061/(ASCE)CO.1943-7862.0000817

Ćirilović Stanković J, Vajdić N, Mladenović G, Queiroz C. Developing Cost Estimation Models for Road Rehabilitation and Reconstruction: Case Study of Projects in Europe and Central Asia. in Journal of Construction Engineering and Management. 2014;140(3).
doi:10.1061/(ASCE)CO.1943-7862.0000817 .

Ćirilović Stanković, Jelena, Vajdić, Nevena, Mladenović, Goran, Queiroz, Cesar, "Developing Cost Estimation Models for Road Rehabilitation and Reconstruction: Case Study of Projects in Europe and Central Asia" in Journal of Construction Engineering and Management, 140, no. 3 (2014),
https://doi.org/10.1061/(ASCE)CO.1943-7862.0000817 . .

TY  - CONF
AU  - Ćirilović Stanković, Jelena
AU  - Vajdić, Nevena
AU  - Mladenović, Goran
AU  - Queiroz, Cesar
PY  - 2012
UR  - http://rims.institutims.rs/handle/123456789/190
AB  - Maintenance of existing road network represents a challenge for public road authorities who seek a balance between available budgets and the need for maintaining level of service at a satisfactory level on existing road sections. For this reason, prediction of cost for road rehabilitation and reconstruction works represents one of key inputs for the objective analysis of projects and available budgets and optimization of road maintenance alternatives. However, the average unit costs of road rehabilitation and reconstruction vary substantially between countries, and even between projects in the same country, due to a number of factors. In this paper an effort is made to develop a prediction model that could be applied for a wide range of conditions in different countries. A specialized dataset is used, which was generated under a World Bank study fora sample of road works contracts from 14 countries in Europe and Central Asia, signed between the years 2000 and 2010. The data sample for the analysis covers 94 projects of rehabilitation and reconstruction of flexible pavements. A multivariate regression analysis is used to evaluate the determinants of the cost per kilometer of the road rehabilitation or reconstruction. The explanatory variables that are tested in the model are divided in three groups: a Variables related to oil prices b Variables that are country specific c Variables that are project specific The variables included in the analyses were chosen in view of their potential explanatory power. The resulting regression model is expected to be useful in the strategic analysis of road networks, including the optimization of road maintenance alternatives.
PB  - Univ Zagreb, Fac Civil Engineering, Zagreb
C3  - Road and Rail Infrastructure II
T1  - Prediction model for the cost of road rehabilitation and reconstruction works
EP  - 395
SP  - 389
UR  - https://hdl.handle.net/21.15107/rcub_rims_190
ER  - 

@conference{
author = "Ćirilović Stanković, Jelena and Vajdić, Nevena and Mladenović, Goran and Queiroz, Cesar",
year = "2012",
abstract = "Maintenance of existing road network represents a challenge for public road authorities who seek a balance between available budgets and the need for maintaining level of service at a satisfactory level on existing road sections. For this reason, prediction of cost for road rehabilitation and reconstruction works represents one of key inputs for the objective analysis of projects and available budgets and optimization of road maintenance alternatives. However, the average unit costs of road rehabilitation and reconstruction vary substantially between countries, and even between projects in the same country, due to a number of factors. In this paper an effort is made to develop a prediction model that could be applied for a wide range of conditions in different countries. A specialized dataset is used, which was generated under a World Bank study fora sample of road works contracts from 14 countries in Europe and Central Asia, signed between the years 2000 and 2010. The data sample for the analysis covers 94 projects of rehabilitation and reconstruction of flexible pavements. A multivariate regression analysis is used to evaluate the determinants of the cost per kilometer of the road rehabilitation or reconstruction. The explanatory variables that are tested in the model are divided in three groups: a Variables related to oil prices b Variables that are country specific c Variables that are project specific The variables included in the analyses were chosen in view of their potential explanatory power. The resulting regression model is expected to be useful in the strategic analysis of road networks, including the optimization of road maintenance alternatives.",
publisher = "Univ Zagreb, Fac Civil Engineering, Zagreb",
journal = "Road and Rail Infrastructure II",
title = "Prediction model for the cost of road rehabilitation and reconstruction works",
pages = "395-389",
url = "https://hdl.handle.net/21.15107/rcub_rims_190"
}

Ćirilović Stanković, J., Vajdić, N., Mladenović, G.,& Queiroz, C.. (2012). Prediction model for the cost of road rehabilitation and reconstruction works. in Road and Rail Infrastructure II
Univ Zagreb, Fac Civil Engineering, Zagreb., 389-395.
https://hdl.handle.net/21.15107/rcub_rims_190

Ćirilović Stanković J, Vajdić N, Mladenović G, Queiroz C. Prediction model for the cost of road rehabilitation and reconstruction works. in Road and Rail Infrastructure II. 2012;:389-395.
https://hdl.handle.net/21.15107/rcub_rims_190 .

Ćirilović Stanković, Jelena, Vajdić, Nevena, Mladenović, Goran, Queiroz, Cesar, "Prediction model for the cost of road rehabilitation and reconstruction works" in Road and Rail Infrastructure II (2012):389-395,
https://hdl.handle.net/21.15107/rcub_rims_190 .

TY  - JOUR
AU  - Ćirilović Stanković, Jelena
AU  - Vajdić, Nevena
AU  - Mladenović, Goran
AU  - Queiroz, Cesar
PY  - 2012
UR  - http://rims.institutims.rs/handle/123456789/175
AB  - Prosečni jedinični troškovi radova u projektima rekonstrukcije i rehabilitacije (RiR) puteva se značajno razlikuju među državama, ali i u okviru različitih projekata u istoj državi, i to usled mnogobrojnih faktora. U okviru ovog rada, formiran je model kojim bi bilo moguće predvideti troškove radova RiR u različitim državama i koji bi mogao da se primeni u analizama u sistemima za upravljanje održavanjem puteva na strateškom nivou i na nivou programiranja radova održavanja. Definisan model je formiran od promenljivih koje značajno doprinose regresiji. Izabrane su one promenljive kojima je moguće što bolje opisati zavisnu veličinu tj. jedinične troškove RiR puteva. Dobijena regresiona zavisnost bi mogla da bude korisna na nivou strateških analiza mreža i optimizacija planiranih radova RiR.
AB  - The average unit project cost for road rehabilitation and reconstruction (RRR) works vary substantially across countries and over time, but variation also exists within the country in the same year due to a number of reasons. In this paper an effort is made to develop a prediction model that could be applied for a wide range of conditions in different countries and that could be applied in road maintenance management systems at strategic level and development of road works programs. The resulting model is made of the variables that contribute significantly to the regression. The variables included in the analyses were chosen in view of their potential explanatory power. The resulting regression model is expected to be useful in the strategic analysis of road networks, including the optimization of road maintenance alternatives. .
PB  - Srpsko društvo za puteve VIA-VITA, Beograd
T2  - Put i saobraćaj
T1  - Procena troškova rehabilitacije i rekonstrukcije u sistemima za upravljanje održavanjem puteva
T1  - Model development for the preliminary cost estimates of road rehabilitation and reconstruction works
EP  - 13
IS  - 2
SP  - 5
VL  - 58
UR  - https://hdl.handle.net/21.15107/rcub_rims_175
ER  - 

@article{
author = "Ćirilović Stanković, Jelena and Vajdić, Nevena and Mladenović, Goran and Queiroz, Cesar",
year = "2012",
abstract = "Prosečni jedinični troškovi radova u projektima rekonstrukcije i rehabilitacije (RiR) puteva se značajno razlikuju među državama, ali i u okviru različitih projekata u istoj državi, i to usled mnogobrojnih faktora. U okviru ovog rada, formiran je model kojim bi bilo moguće predvideti troškove radova RiR u različitim državama i koji bi mogao da se primeni u analizama u sistemima za upravljanje održavanjem puteva na strateškom nivou i na nivou programiranja radova održavanja. Definisan model je formiran od promenljivih koje značajno doprinose regresiji. Izabrane su one promenljive kojima je moguće što bolje opisati zavisnu veličinu tj. jedinične troškove RiR puteva. Dobijena regresiona zavisnost bi mogla da bude korisna na nivou strateških analiza mreža i optimizacija planiranih radova RiR., The average unit project cost for road rehabilitation and reconstruction (RRR) works vary substantially across countries and over time, but variation also exists within the country in the same year due to a number of reasons. In this paper an effort is made to develop a prediction model that could be applied for a wide range of conditions in different countries and that could be applied in road maintenance management systems at strategic level and development of road works programs. The resulting model is made of the variables that contribute significantly to the regression. The variables included in the analyses were chosen in view of their potential explanatory power. The resulting regression model is expected to be useful in the strategic analysis of road networks, including the optimization of road maintenance alternatives. .",
publisher = "Srpsko društvo za puteve VIA-VITA, Beograd",
journal = "Put i saobraćaj",
title = "Procena troškova rehabilitacije i rekonstrukcije u sistemima za upravljanje održavanjem puteva, Model development for the preliminary cost estimates of road rehabilitation and reconstruction works",
pages = "13-5",
number = "2",
volume = "58",
url = "https://hdl.handle.net/21.15107/rcub_rims_175"
}

Ćirilović Stanković, J., Vajdić, N., Mladenović, G.,& Queiroz, C.. (2012). Procena troškova rehabilitacije i rekonstrukcije u sistemima za upravljanje održavanjem puteva. in Put i saobraćaj
Srpsko društvo za puteve VIA-VITA, Beograd., 58(2), 5-13.
https://hdl.handle.net/21.15107/rcub_rims_175

Ćirilović Stanković J, Vajdić N, Mladenović G, Queiroz C. Procena troškova rehabilitacije i rekonstrukcije u sistemima za upravljanje održavanjem puteva. in Put i saobraćaj. 2012;58(2):5-13.
https://hdl.handle.net/21.15107/rcub_rims_175 .

Ćirilović Stanković, Jelena, Vajdić, Nevena, Mladenović, Goran, Queiroz, Cesar, "Procena troškova rehabilitacije i rekonstrukcije u sistemima za upravljanje održavanjem puteva" in Put i saobraćaj, 58, no. 2 (2012):5-13,
https://hdl.handle.net/21.15107/rcub_rims_175 .