Fuzzy probabilistic approach for risk assessment of BOT toll roads in Indian context

Abstract

Purpose The built-transfer and operate (BOT) toll model has been a common approach for highway construction in India. Due to large amount of investment, many stakeholders and long concession period, Indian BOT toll roads become susceptible to different risks. Risk assessment is one of the essential and difficult steps of risk management that enables professionals to quantify and analyze the risks that may hamper the BOT toll project performance in terms of cost, quality, safety and time. The purpose of this study is to identify and assess the risk factors by the fuzzy probabilistic model. Design/methodology/approach The comprehensive literature review has been carried out for identification of Indian BOT toll roads projects' risk factors. A structured questionnaire was prepared which was then filled by contractors, government officers, academicians, project managers and consultants. For risk assessment, a systematic quantitative-based fuzzy probabilistic model is proposed with the help of lab-view, as a risk assessment technique to simulate the impreciseness of human judgment and to improve the assessment accuracy. Findings The risk assessment is one of the difficult tasks because BOT toll roads have complex structure. In this study, total 71 risks have been identified and categorized under 14 risk factors on a basis of case studies of Indian toll roads and literature review. All risks have been assessed by the fuzzy probabilistic model by lab-view. The land acquisition is the most crucial risk of BOT toll roads project which is subsequently followed by construction time and cost over-run. Also, Indian BOT toll roads are facing the traffic shortfalls critically, which became a reason toward declination trend for investment in BOT toll projects by the private players. Other risks like political risks, contractual and social risk badly are affecting the project performance. Early risk identification and assessment can be beneficial for the project, which is required to prepare the risk response strategy before the project commencement. Originality/value This study throws light on comprehensive risk assessment and framework modeling of the risk assessment for the BOT toll roads project in India. This comprehensive risk assessor model can be used for BOT toll roads in Indian scenario for prioritization of the critical risk. It is important for the public and private sectors to establish an effective risk assessor model for public–private partnership (PPP) projects to achieve win-win condition for both.

Conceptualizing a win–win scenario in public–private partnerships: evidence from a systematic literature review

“…However, assessment of these risk proceeds allocation therefore becomes equally important. Patel et al (2019) asserted that it is important for the public and private sectors to establish an effective risk assessor model for PPP schemes to reach a win–win condition. The rational assessment of risk in PPPs is the core of any risk-response and risk-allocation mechanism (Wibowo et al , 2012).…”

Exploring the underlying relationship among risks in BOT transportation projects in developing countries: the case of Vietnam

“…The third part queried respondents about the probability of occurrence (P) and the severity of impact (I) of the 40 risks related to BOT transportation projects. A five-point Likert scale was provided to respondents for the rating exercise, where 1 – very low, 2 – low, 3 – average, 4 – high and 5 – very high, which is similarly used in previous related studies (Chan et al , 2010; Patel et al , 2019; Cui et al , 2019).…”

Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL

“…A questionnaire survey is an efficient way to capture all project stakeholders' insights and empower these insights to be analyzed and compared [42]. In this study, the questionnaire survey was carried out in two stages, and responses were gathered from India, the U.S.A., Germany, and the United Kingdom.…”

“…Fuzzy theory helps to tackle the vagueness of human thoughts, perceptions and decision making [48]. Experts tend to express their qualitative evaluation in lingual terms rather than exact numbers based on their knowledge, experience, and perception during the decision-making problem of a complicated system [42]. These lingual terms are vague to analyze further.…”