Spatial Risk Assessment and Geographic Information System based Approach for Construction Projects Risk Management

被引:0
|
作者
Tuljapurkar, Vaishnavi [1 ]
Tiwari, K. C. [1 ]
机构
[1] Delhi Technol Univ, New Delhi, India
关键词
Geographic information system; Construction projects; Risks; Risk assessment; Spatial risk assessment; Questionnaires; GIS; FRAMEWORK; SAFETY; AREAS;
D O I
10.1007/s11277-024-11606-1
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
The construction of diverse civil projects is challenging owing to the numerous hazards involved. As a result, risk analysis is essential for civil project selection and construction work coordination. During the construction project planning and programming stages, risk analysis is viewed as the study of undesirable events. Construction risk is susceptibility to any potential loss. As the construction industry is essential to a country's economy, it is crucial to research and examine various risk detection and management strategies. We develop the model with a real-time case study to analyze the risk in construction projects in this paper. Risk is defined as an estimation of the likelihood, severity, and exposure of all risks associated with a construction stage. We propose the integrated approach for risk assessment in construction projects using the spatial risk assessment and Geographic Information System (GIS) techniques. We discover the different risks in construction projects from the literature review analysis to the design of the questionnaires. The proposed study records the responses from the various construction projects for prepared questionnaires. We present the National Highway 150 E of India case study to demonstrate the advantages of spatial risk assessment and a GIS-based approach. The outcomes of the proposed study reveal the major risks in construction projects. Therefore, our study recommends a generalized spatial risk assessment and a GIS-based method for various construction projects.
引用
收藏
页码:209 / 245
页数:37
相关论文
共 50 条
  • [21] A Model for Risk Assessment and Management of Construction Projects in Urban Conditions
    Siemaszko, Agata
    Kristowski, Adam
    Grzyl, Beata
    2018 BALTIC GEODETIC CONGRESS (BGC-GEOMATICS 2018), 2018, : 7 - 11
  • [22] Geographic information system (GIS) based disaster risk assessment: A case of Denizli
    Partigoc, Nur Sinem
    Dincer, Ceyhun
    GEOMATIK, 2024, 9 (01): : 27 - 44
  • [23] SYSTEMATIC-RISK MANAGEMENT APPROACH FOR CONSTRUCTION PROJECTS - DISCUSSION
    MCKIM, RA
    JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT-ASCE, 1992, 118 (02): : 414 - 415
  • [24] Risk assessment and drawing information system based change management
    Yoo, Jin Hwan
    Lee, Heon Seok
    Ko, Jae Wook
    KOREAN JOURNAL OF CHEMICAL ENGINEERING, 2011, 28 (02) : 323 - 331
  • [25] Risk assessment and drawing information system based change management
    Jin Hwan Yoo
    Heon Seok Lee
    Jae Wook Ko
    Korean Journal of Chemical Engineering, 2011, 28 : 323 - 331
  • [26] Risk assessment of occupational safety in construction projects using uncertain information
    Karamoozian, Amirhossein
    Luo, Cuicui
    Wu, Desheng
    HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2023,
  • [27] Risk assessment of occupational safety in construction projects using uncertain information
    Karamoozian, Amirhossein
    Luo, Cuicui
    Wu, Desheng
    HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2023, : 1134 - 1151
  • [28] Simulation-based approach for risk assessment in onshore wind farm construction projects
    Mohamed, Emad
    Seresht, Nima Gerami
    Hague, Stephen
    AbouRizk, Simaan M.
    2020 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON ADVANCED RELIABILITY AND MAINTENANCE MODELING (APARM), 2020,
  • [29] Risk Management of Construction Projects Based on Sandpile Model: a Frame of Risk Conduction
    Xu, B. B.
    Chen, Y. Q.
    Wang, C. M.
    2013 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM 2013), 2013, : 1530 - 1534
  • [30] Risk assessment in construction projects of Iraq
    Alklkali, Ali Moosa Taqi
    JOURNAL OF ALGEBRAIC STATISTICS, 2022, 13 (01) : 517 - 525