Historic Building Information Modeling as an Integrated Approach for the Documentation of Jogi Mohallah, Walled City Lahore, Pakistan

Clicks: 8
ID: 337071
2023
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #287 of 953 articles by views in Pakistan Social Sciences Review

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 953 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The research is an effort to reconnoiter the aptitudes of Historic Building Information Modeling as an integrated approach for the documentation of Historic monuments and heritage sites. The Historic Building Information Modeling (HBIM) is a major attribute in the development of virtual models of cultural heritage, based on digital technologies and 3D approaches. The selected case-study, Jogi Mohallah, Walled City Lahore, is located in the neighborhood of Bazaar-e-Hakeema and possesses a number of significant historic structures. The research includes an analysis of the three main stages, data acquisition, pre-processing of survey data, and 3D modeling with HBIM. Virtual and conventional methods have been evaluated to develop an understanding of the complex spatial relationships between various features of heritage sites. In conclusion, an integrated framework based on HBIM Modelling can support for the accurate and authentic documentation of built heritage within stipulated time span.
Reference Key
imported_1793231375_6ae28a0f6be9b Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors
Journal Pakistan Social Sciences Review
Year 2023
DOI
10.35484/pssr.2023(7-IV)49
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.