Critical influential factors for pricing in urban transportation infrastructure PPP project

Author(s):  
Wen-xiong Wang ◽  
Qi-ming Li ◽  
Xiao-peng Deng ◽  
Liang-feng Shen
2013 ◽  
Vol 361-363 ◽  
pp. 1950-1953
Author(s):  
Juan Ma ◽  
Yu Zhao

The development of transportation infrastructure construction is playing an important role in promoting the development of economy. We aimed at the adaptability between transportation infrastructure construction and economic development, and established an evaluating indicator set between urban transportation infrastructure construction and economic development. Meanwhile, on the base of the thought of system evolution, we constructed the evaluation model between the two, and quoted the related date of Xinjiang from 2000 to 2011 in empirical analysis, so that it is able to provide the useful reference to the healthy and rapid development of economy in a degree.


2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Anastasia Roukouni ◽  
Cathy Macharis ◽  
Socrates Basbas ◽  
Basil Stephanis ◽  
George Mintsis

Author(s):  
Le Phuong Thuy ◽  
Bui Ngoc Tu ◽  
Pham Le Tuan ◽  
Tran Quoc Binh

Urban transportation infrastructure development projects usually act as a lever for real estate values. This research aims to assess the effects of some projects on urban land prices in three wards of Cau Giay District, namely Quan Hoa, Dich Vong, and Dich Vong Hau wards. With 161 samples surveyed, we established a multivariate linear regression model initially having 11 variables. As the result, six variables are identified as having significant effect on land prices in the study area. Among those, three variables are related to the local transportation infrastructure, namely: location of land parcels; distance to urban railway lines; and distance to public transport stations. Location of land parcels and distance to public transport stations are factors that have a significant influence in reality. Besides, the distance to the urban railway lines is the factor that has a positive impact on land prices, but it is only still a potential and should be extensively investigated in the future because the urban railway project is still in the implementation phase.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lam Vu Thanh Noi ◽  
Richard T. Cooper ◽  
Dinh Thi Thuy Trang ◽  
Tran Quang Minh ◽  
Cao Thi Thu Huong ◽  
...  

In Southeast Asia, climate change will potentially have negative consequences for urban transportation infrastructure (UTI). It is necessary to improve the understanding of climate change-associated loss and damage in relation to UTI to ensure the sustainability of existing transportation assets and for prioritizing future investments. However, there is currently limited knowledge on how to practically assess loss and damage for UTI in the context of climate change and then to incorporate appropriate adaptation measures and strategies to future-proof transportation planning. This study presents the results and experiences from assessing climate change-related loss and damage to UTI in six cities of Cambodia, Thailand and Vietnam. One pilot city from each country was selected for assessment by applying NK-GIAS software to determine loss and damage for urban roads. It was found that the six selected cities were highly vulnerable to climate change given their location and exposure to sea-level rise, storm surge, flooding, and salinity intrusion. Through analyses conducted using NK-GIAS software, economic losses for different flood scenarios were determined. The linkage between flooding and road damage was demonstrated, with maximum damage estimations under the most extreme flooding scenario of approximately 20 million USD for Hoi An, 3 million USD for Kampot and 21 million USD for Samut Sakhon, corresponding to water levels of 3.4 m, 4.0 m and 2.7 m respectively. Damage to the road network was identified as a key impact related to climate change. Further research is recommended to develop appropriate damage curves through laboratory analysis, addressing both flood depth and duration, to strengthen the NK-GIAS analyses undertaken in this study.


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