Passenger Choice Behavior between Direct and Transit Flights——A Case Study on Passengers Using Hub Airports in the Northeast Asian Region

This study analyzes air passenger route choice behavior for long-haul inter-continental travel. It employs the SP （state preference） technique and logit modeling to investigate the impact of route development via neighboring countries in the region. With the Japanese government pursuing an increase in international routes at Haneda International Airport, and the Chinese government planning to construct Beijing Capital Second International Airport by 2019, the competition among airports to serve as hubs in Northeast Asia will increase significantly. Korean passengers will have a greater number of route choices when traveling to North America or Europe, utilizing not only direct flights from Incheon International Airport but also flights via Tokyo or Beijing area airports including Haneda International Airport, Narita International Airport, Beijing Capital International Airport and Beijing Capital Second International Airport. Accordingly, passengers will choose among the alternatives by considering fares and flight times. As such, it is essential for airports to offer flights with competitive prices for transit passengers to become successful competitive airports in the region. Therefore, it will become more important for market decision makers to strive toward more attractive ticket prices and better route network quality.

Simulation of Passenger Behavior in Virtual Subway Station Based on Multi-Agent

According to architectural structure of underground station and condition of passengers,the emergency evacuations are extremely important during emergency accidents caused in the stations.Based on the architectural features and situation of passengers in the station,Multi-Agent system is proposed to analyze passengers’behavior and elements which affect passengers’behavior.Base on the crowd mentality,the model of selective behavior of passengers’route was established to simulate passengers’actions during emergency accidents.It is feasible to find out the influence brought by crowd mentality affect the emergency evacuations,and the influence of remitting the situation from external factor through WebVR.At last,it provides references for emergency evacuation strategy.

Macro level performance study of Ahmadabad bus rapid transit system:Janmarg

Amidst the rapid urbanization in the country,the importance of urban public transport has been realized by the governments.Public transport is vital to the city's economy and ensures social equity.Bus Rapid Transit System(BRTS)has emerged as an exciting way to decongest the cities,enhancing and increasing mobility and accessi-bility and promoting transit-oriented development.India's longest BRTS,Janmarg,was created with similar ob-jectives.However,the system faces reduced ridership and inhibited growth because of its hidden inefficiencies.This research aims to identify all the factors affecting ridership,accessibility,and inhibiting the system's growth even after having sufficient infrastructure.It also aims to quantitatively determine whether Janmarg could achieve its establishment's objectives on the city transportation system after thirteen years of the successful implementation of the project.The research methodology used in this work combines primary and secondary research.The factors are responsible for preventing Janmarg from achieving its objectives and utilizing its full potential are determined and recommended ways to utilize adversities effectively.Results show that this study endorses reducing ambiguities and a way forward for making a sustainable transportation system.