Fuzzy multicriteria ranking of urban transportation investment alternatives

1996 ◽  
Vol 20 (1) ◽  
pp. 15-31 ◽  
Author(s):  
Junn‐Yuan Teng ◽  
Gwo‐Hshiung Tzeng
Author(s):  
John L. Mikesell ◽  
Janey Qian Wang ◽  
Zhirong Jerry Zhao ◽  
Yang He

As China has experienced rapid economic growth and increased urbanization in recent decades, a crucial policy challenge for its government has been the development of urban transportation. Although conventional wisdom suggests that more infrastructure investment will stimulate economic development, empirical evidence is mixed. With the use of a panel data model (1999–2011 across Chinese provinces), transportation investment was found to have had significant impacts on economic growth, after which variables were controlled for that measured provincial openness, human capital, and government size. Transportation investment in one province not only promoted economic growth in that province but also had external effects on neighboring provinces. External effects were strong for highways, whereas internal effects were strong for urban roads. [In this analysis, highways in China meant controlled-access highways (freeways).] The results of the study can have policy implications for mechanisms used to fund transportation in China.


2020 ◽  
Vol 4 (5) ◽  
pp. 884-891
Author(s):  
Salwa Salsabila Mansur ◽  
Sri Widowati ◽  
Mahmud Imrona

Traffic congestion problems generally caused by the increasing use of private vehicles and public transportations. In order to overcome the situation, the optimization of public transportation’s route is required particularly the urban transportation. In this research, the performance analysis of Firefly and Tabu Search algorithm is conducted to optimize eleven public transportation’s routes in Bandung. This optimization aims to increase the dispersion of public transportation’s route by expanding the scope of route that are crossed by public transportation so that it can reach the entire Bandung city and increase the driver’s income by providing the passengers easier access to public transportations in order to get to their destinations. The optimal route is represented by the route with most roads and highest number of incomes. In this research, the comparison results between the reference route and the public transportation’s optimized route increasing the dispersion of public transportation’s route to 60,58% and increasing the driver’s income to 20,03%.


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