کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5119155 1485821 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Analysis of traffic revenue risk factors in BOT road projects in developing countries
موضوعات مرتبط
علوم انسانی و اجتماعی علوم اجتماعی جغرافیا، برنامه ریزی و توسعه
پیش نمایش صفحه اول مقاله
Analysis of traffic revenue risk factors in BOT road projects in developing countries
چکیده انگلیسی


- The study identified and assessed the traffic revenue risk factors in BOT road projects.
- We identified critical traffic revenue risk factors influencing BOT road projects in Nigeria.
- We further identified and assessed the mitigation strategies to traffic revenue risk in BOT road projects.
- Factor analysis was conducted to determine the underlying relationships among the identified traffic revenue risk factors and mitigation strategies.

The use of Build-Operate-Transfer (BOT) model for transport infrastructure projects delivery, most especially road projects has increased over the past decades. However, the growing concern is how the concessionaires will recoup their money at operation phase in BOT road projects, due to the traffic revenue risk that is highly unpredictable, particularly in developing countries. Yet effort at investigating traffic revenue risk factors in BOT road projects through an empirical method in developing countries received scant attention. It is against this backdrop that this study identified and critically assessed the traffic revenue risk factors in BOT road projects in Nigeria. This study further identified and assessed the mitigation strategies to traffic revenue risk in BOT road projects. In achieving this, the study adopted three different data gathering phases to include literature review, a preliminary survey, and questionnaire survey. The questionnaires were administered to three different primary stakeholder groups comprised public sector authorities (i.e. ministries, department, agencies), concessionaires, and lenders/banks involved from conception to operation phase of BOT transport projects in Nigeria. Data collected were analysed using mean score, Kruskal-Wallis test, and factor analysis. The study, through factor analysis, grouped the 25 identified traffic revenue risk factors into 3 principal factors. Similarly, the factor analysis classified the 19 identified mitigation strategies into 4 key factors. It is believed that this study will benefit the policymakers and other stakeholders to draw policy recommendations that will positively influence the development of BOT road projects in Nigeria and developing countries at large.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transport Policy - Volume 56, May 2017, Pages 41-49
نویسندگان
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