Redirigiendo al acceso original de articulo en 24 segundos...
ARTÍCULO
TITULO

A multi-actor multi-criteria transit system selection model: A case study of Bangkok feeder system

Ackchai Sirikijpanichkul    
Sarintorn Winyoopadit    
Anchalee Jenpanitsub    

Resumen

Selection of transit systems is one of the most complicated decisions as it concerns several decision factors and stakeholders. Governments? objectives are to maximize overall social, economic and environmental benefits including connectivity and mobility enhancement, transport service equality, economic revitalization, and environmental restoration but to minimize all possible conflicts. Designers and developers? objectives are to minimize construction time but to maximize network expansion opportunities. Financial institutes? objectives is to minimize the investment costs including capital and operating costs. Communities? objectives are to minimize environment impacts, traffic impact, land acquisition, and loss of revenues on the local transport modes but to maximize road users? safety. Transit users and operators? objective is to maximize riding comfort, mobility and accessibility. Each stakeholder's objectives are usually conflicting with the others?. To avoid and resolve such conflicts, governments or policy makers need a decision tool to help them make a transit choice that not only satisfies but also balances all stakeholders? needs. This research study introduces a transit system selection model that is developed on the multi-attribute utility theory (MAUT) to normalize the score of the alternative in each decision factor and criteria and the rank-order centroid (ROC) theory to allocate weights to each decision factor and criteria. Finally, the final decision is suggested by the proposed multi-actor multi-criteria decision model. A decision to Bangkok feeder system choice is considered as a case study.

 Artículos similares

       
 
Ulzhan Bissarinova, Aidana Tleuken, Sofiya Alimukhambetova, Huseyin Atakan Varol and Ferhat Karaca    
This paper introduces a deep learning (DL) tool capable of classifying cities and revealing the features that characterize each city from a visual perspective. The study utilizes city view data captured from satellites and employs a methodology involving... ver más
Revista: Buildings

 
Lahouari Bounoua, Mohamed Amine Lachkham, Noura Ed-Dahmany, Souad Lagmiri, Hicham Bahi, Mohammed Messouli, Mohammed Yacoubi Khebiza, Joseph Nigro and Kurtis J. Thome    
During the last decades, Morocco has recorded substantial urbanization and faced challenges related to urban sprawl and encroachment on fertile lands. This paper reviews several studies assessing urban sustainability development in 27 Moroccan urban area... ver más
Revista: Urban Science

 
Angelos Filippatos, Dionysios Markatos, Georgios Tzortzinis, Kaushik Abhyankar, Sonia Malefaki, Maik Gude and Spiros Pantelakis    
The current prevailing trend in design across key sectors prioritizes eco-design, emphasizing considerations of environmental aspects in the design process. The present work aims to take a significant leap forward by proposing a design process where sust... ver más
Revista: Aerospace

 
Lin Guo, Anand Balu Nellippallil, Warren F. Smith, Janet K. Allen and Farrokh Mistree    
When dealing with engineering design problems, designers often encounter nonlinear and nonconvex features, multiple objectives, coupled decision making, and various levels of fidelity of sub-systems. To realize the design with limited computational resou... ver más
Revista: Algorithms

 
Jiajia Fan, Wentao Huang, Qingchao Jiang and Qinqin Fan    
For multimodal multi-objective optimization problems (MMOPs), there are multiple equivalent Pareto optimal solutions in the decision space that are corresponding to the same objective value. Therefore, the main tasks of multimodal multi-objective optimiz... ver más
Revista: Algorithms