Building Information Modeling (BIM) adoption level in Lima and Callao, Dataset

Published: 12 July 2020| Version 4 | DOI: 10.17632/8n2ymkttkp.4
Contributors:
Gerson Tapia Nieto,
,

Description

This research data aims to measure the level of Building Information Modeling (BIM) adoption in urban building projects in Lima city and Callao by the end of 2017. This level helped us to determine in what category of adopter Lima city, Peru most important city in terms of urban buildings, is located according to the Diffusion of Innovations theory (Rogers, 2003). Our hypothesis was that 15% of urban building projects adopted BIM by the end of 2017. The level of adoption is estimated through sampling principles and the population data (N=1218) can be found in the publication “Urban buildings market in Lima city and Callao 2017: edition 22” (CAPECO, 2017). The survey (docx file) is divided in five sections: general data of the interviewee, BIM perception, BIM acceptance, BIM adoption and general data of the project. The final data (xlsx file) provides the results of the survey that was answer by 323 professionals related to the building industry (Civil engineers, architects and others) and each answer corresponded to a unique project. As it was mentioned the population was based on all new urban building projects in the geographical area of study and under construction process during the period of data collection. A project was considered under construction process when it was found at the beginning of earthworks or preliminary works until the delivery of the unoccupied project. In addition, remodeling projects that involved expanding their built-up area were also considered, but this expansion had to be at least 500 sm. On the other hand, all single family houses and multi-family buildings that do not had a public construction license were excluded. The data collection was carried out by a research manager and two research assistants. Each research assistant was assigned a certain number of clusters within the designed sample. The sampling frame used in this research is one of an area type which are geographical surfaces well-defined. These surfaces are clusters and in this case were districts of Lima city and Callao. The data collection was taken from October to December of 2017. The method to reach the sample size (n=323) was through an emailed virtual survey (52 answers) and by visiting building projects site (271 answers). Projects visited were found aleatory, with the only requirement to be inside a designed sample cluster. It has been considered that a project has adopted BIM if it has used any of its applications: 3D models visualization; 3D modeling; material quantification and budgets made from 3D models; structure, MEP or HVAC model coordination; 4D construction simulation; control of construction progress with BIM; procurement of precast components; or the generation of 2D drawings from 3D models. The main notable finding is that the BIM adoption level in urban building projects in Lima city and Callao in 2017 was 21.6% (70/323), which places this analyzed region in the category of “early majority” adopters (Rogers, 2003).

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Steps to reproduce

This research data was collected by two research assistants and was used to write two separate theses to get a Civil Engineer degree by the Pontifical catholic university of Peru. Funding’s for this data collection was assumed by the two research assistants and their main motivation was to finish and present their thesis. To reach the sample size (n=323) was necessary a database of emails (to reach some projects virtually) and population data for the sample design. For the emails database we received help from a professional working in a concrete plant that gave us a list of almost one hundred emails. In the case of the population data, it can be found in the publication “Urban buildings market in Lima city and Callao 2017: edition 22” (CAPECO, 2017). CAPECO is the acronym for Peruvian construction chamber that every year they make a census of urban building projects in Lima city and Callao.

Institutions

Pontificia Universidad Catolica del Peru

Categories

Building, Computer Applications in Architecture, Building Design, Building Physics Modeling, Adoption Studies, Building Engineering

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