Integrated stochastic life cycle benefit cost analysis of hydronically-heated apron pavement system

Date
2019-02-07
Authors
Nahvi, Ali
Nahvi, Ali
Pyrialakou, V. Dimitra
Ceylan, Halil
Anand, Pritha
Sadati, S. M. Sajed
Gkritza, Konstantina
Ceylan, Halil
Cetin, Kristen
Kim, Sunghwan
Gopalakrishnan, Kasthurirangan
Taylor, Peter
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Altmetrics
Authors
Research Projects
Organizational Units
Journal Issue
Series
Department
Civil, Construction and Environmental EngineeringCenter for Nondestructive Evaluation (CNDE)
Abstract

Transportation infrastructure is greatly impacted by ice and snow, adding enormous costs to the American economy. Because of their sustainability benefits, heated-pavement systems (HPS) continue to gain attention as a potential alternative to conventional snow removal operations, and the main goal of this paper is to assess the economic feasibility of hydronically-heated pavements systems (HHPS), one type of heated pavements, for use at apron areas of commercial airports. Both benefits and expenses associated with use of HHPS for snow and ice removal were identified and quantified in monetary terms using a stochastic economic analysis method, and a sensitivity analysis approach was used to determine particular variables that significantly influence overall economic viability of HHPS. The findings suggest that, despite high capital costs, HHPS use at airports might be economically feasible. The results from the sensitivity analysis indicate that airport size, in the context of number of aircraft operations, strongly affects the benefit-cost ratio of HHPS use.

Comments

This is a manuscript of an article published as Nahvi, Ali, V. Dimitra Pyrialakou, Pritha Anand, SM Sajed Sadati, Konstantina Gkritza, Halil Ceylan, Kristen Cetin, Sunghwan Kim, Kasthurirangan Gopalakrishnan, and Peter C. Taylor. "Integrated stochastic life cycle benefit cost analysis of hydronically-heated apron pavement system." Journal of Cleaner Production 224 (2019): 994-1003. DOI: 10.1016/j.jclepro.2019.02.058. Posted with permission.

Description
Keywords
Citation
DOI
Collections