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Future directions and research gaps in city information modelling (CIM)
Ebere Donatus Okonta
, Farzad Rahimian
, Moslem Sheikhkhoshkar
,
Sergio Rodriguez Trejo
School of Computing, Engineering & Digital Technologies
Teesside University
Research output
:
Contribution to journal
›
Review article
›
peer-review
Overview
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Computer Science
Information Modeling
100%
Future Direction
100%
Bibliometric Analysis
50%
Interoperability
10%
Web of Science
10%
Case Study
10%
Facility Management
10%
Asset Management
10%
Theoretical Framework
10%
Generalizability
10%
Driven Approach
10%
Private Partnership
10%
Data Security
10%
Geographic Information
10%
Security Measure
10%
Governance Framework
10%
Internet-Of-Things
10%
Economics, Econometrics and Finance
Systematic Review
100%
Sustainable Urban Development
33%
Public-Private Partnership
33%
VOSviewer
33%
Management Strategy
33%
Keyphrases
Model Research
71%
Infrastructure Construction
14%
Field Structure
14%
Asset Management Strategy
14%
Innovative Assets
14%
Urban Challenges
14%
Technical Integration
14%
Measuring System
14%
System Interoperability
14%
Psychology
Public-Private Partnership
33%
Social Sciences
Asset Management
20%