Diagnostic Evaluation of Public Transportation Mode Choice in Addis Ababa

The major modes of public transportation in the city of Addis Ababa are buses and taxis. There is no rail transit within the city. The existing public transportation is of a low quality because of the limited number of buses and taxis, poor management, and bad behavior of drivers. Despite these prevailing problems, efforts to make an empirical study of the city’s urban transportation are insignificant. This research attempts to develop an ordered logit model to examine citizens’ perceptions of the bus condition, as a determining factor for their choice of bus transportation, and to develop a binary logit model to analyze traveler choice behavior. A diagnostic analysis is undertaken based on the two models. The result shows that citizens’ perceptions of the three chosen bus condition aspects (fare, convenience, and frequency) have a significant influence on public transport mode choice

Demand Responsive Route Design: GIS Application to Link Downtowns with Expansion Areas

The movement of residential locations to suburban areas to obtain cheaper land results in increasing mobility and infrastructure problems. One of the important infrastructures is transportation, which determines the level of accessibility of people and commodities from one place to another. Therefore, Transportation Demand Management (TDM) measures are important in providing an optimal transit route to increase accessibility of public transportations. In the past, several researchers have developed various TDM programs, including public transport improvement as a strategy to encourage a more transit-oriented society. This study attempts to create a methodology of identifying bus links between urban centers and newly developed urban expansion areas using Geographical Information Systems by considering reduction of route overlapping. A TAZ-based analysis is undertaken to identify the demand responsive bus routes, which maximize population coverage, minimize travel time, and reduce duplicating routes

GIS application to link downtowns with expansion areas

The movement of residential locations to suburban areas to obtain cheaper land results in increasing mobility and infrastructure problems. One of the important infrastructures is transportation, which determines the level of accessibility of people and commodities from one place to another. Therefore, Transportation Demand Management (TDM) measures are important in providing an optimal transit route to increase accessibility of public transportations. In the past, several researchers have developed various TDM programs, including public transport improvement as a strategy to encourage a more transit-oriented society. This study attempts to create a methodology of identifying bus links between urban centers and newly developed urban expansion areas using Geographical Information Systems by considering reduction of route overlapping. A TAZ-based analysis is undertaken to identify the demand responsive bus routes, which maximize population coverage, minimize travel time, and reduce duplicating routes

Modeling the Relationship between Travelers’ Level of Satisfaction and Their Mode Choice Behavior using Ordinal Models

Travelers’ level of satisfaction is an important performance measure for transport service providers and a determinant of mode choice. However, its computation is not easy because of the complicated and unique characteristics of travelers. The traditional method of comparing yearly satisfaction percentages has been implemented in several places; however, it does not include the interrelationships between variables that determine satisfaction. This study estimates travelers’ level of satisfaction using an ordered logit model and then uses the results in a binary mode choice model. The results show that the level of satisfaction has a significant influence on the modal choice characteristics of travelers

Modeling the Relationship Between Travelers' Level of Satisfaction and Their Mode Choice Behavior Using Ordinal Models

Travelers' level of satisfaction is an important performance measure for transport service providers and a determinant of mode choice. However, its computation is not easy because of the complicated and unique characteristics of travelers. The traditional method of comparing yearly satisfaction percentages has been implemented in several places; however, it does not include the interrelationships between variables that determine satisfaction. This study estimates travelers' level of satisfaction using an ordered logit model and then uses the results in a binary mode choice model. The results show that the level of satisfaction has a significant influence on the modal choice characteristics of travelers

Pam Clark, Assistant to the Editor EDITORIAL BOARD

Faith-Based Organizations