Journal of Environmental Biology

Comprehensive evaluation of environmental and economic benefits of China's urban underground transportation construction projects

Yang Xiaobin, Chen Zhilong* and Guo Dongjun

Underground Space Research Center of PLA University of Science and Technology, Nanjing-210 007, China

*Corresponding Author?s Email : chen-zl@vip.163.com

Publication Data

Paper received:

07 July 2014

Revised received:

30 September 2014

Re-revised received:

01 January 2015

Accepted:

07 February 2015

Abstract

Urban underground transportation projects are introduced to address problems of scarce green land and traffic pollution. As construction of urban underground transportation is still in its infancy, there is no definite quantitative measurement on whether the construction is beneficial and what influences it will place on the region in China. This study intends to construct a comprehensive evaluation method for evaluating social, economic and environmental benefits of urban underground transportation projects and proposes the concept, role and principle for evaluation of environmental and economic benefits. It figures out relationship between the environment and factors of city development. It also summarizes three relevant factors, including transportation, biophysics and social economy, and works out indicators to evaluate the influence of urban underground transportation construction. Based on Contingent Valuation Method (CVM), Cost of Illness Approach (CIA), Human Capital Approach (HCA), this paper constructs 13 monetization calculation models for social, economic and environmental benefits in response to seven aspects, namely, reducing noise pollution and air pollution, using land efficiently, improving traffic safety, reducing traffic congestion, saving shipping time and minimizing transportation costs. ??  

 Key words

Economic benefits, Environmental benefits, Monetization model, Underground transport 

Copyright ? 2015 Triveni Enterprises. All rights reserved. No part of the Journal can be reproduced in any form without prior permission. Responsibility regarding the authenticity of the data, and the acceptability of the conclusions enforced or derived, rest completely with the author(s).