An Empirical Analysis of Risk Similarity among Major Transportation Projects Using Natural Language Processing-Reference-Cited by-同舟云学术

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An Empirical Analysis of Risk Similarity among Major Transportation Projects Using Natural Language Processing

Published:2021-12 Issue:12 Volume:147 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Erfani Abdolmajid¹^ORCID,Cui Qingbin²,Cavanaugh Ian³

Affiliation:

1. Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Maryland, College Park, MD 20742. ORCID: .

2. Professor, Dept. of Civil and Environmental Engineering, Univ. of Maryland, College Park, MD 20742 (corresponding author).

3. Major Projects Engineer, Federal Highway Administration, Washington, DC 20590.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0002206

Reference53 articles.

1. Risk Management in the Construction Industry Using Combined Fuzzy FMEA and Fuzzy AHP

2. The application of text mining methods in innovation research: current state, evolution patterns, and development priorities

3. Automatically learning construction injury precursors from text

4. Big Data in the construction industry: A review of present status, opportunities, and future trends

5. Empirical Identification and Evaluation of Risk in Highway Project Delivery Methods

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