Improving Bus Route Design Using Stop Balancing and Community-level Data

Optimization of bus stop locations for improving transit accessibility

Route bus transport – stakeholders, vehicles and new design directions

In providing a review of the Australian bus industry, this paper describes some of the key issues that are affecting route bus public transport; a complex array of stakeholders and a key tool – the route bus – which exhibits considerable variation in specification. Information gathered by empirical means and through literature suggests that the stakeholders are many, their roles complex and int...

Incremental bus service design: combining limited-stop and local bus services

Long in-vehicle travel times resulting from frequent stops make bus service an unattractive choice for many commuters. Limited-stop bus services however have the advantage of shorter in-vehicle times experienced by passengers. In this work, we seek to modify a given bus service by optimally reassigning some number of bus trips, as opposed to providing additional trips, to operate a limited-stop...

Assessment of Models to Estimate Bus-Stop Level Transit Ridership using Spatial Modeling Methods

The objective of this research is to develop and assess bus transit ridership models at a bus-stop level using two spatial modeling methods: spatial proximity method (SPM) and spatial weight method (SWM). Data for the Charlotte (North Carolina) area are used to illustrate 1) the working of the methods and 2) development and assessment of the models. Features available in Geographic Information ...

Optimal Limited-stop Bus Routes Selection Using a Genetic Algorithm and Smart Card Data

In recent years, express bus service has come into the spotlight by overcoming slow bus operating speeds while maintaining its accessibility when it operates with local bus services. This study developed an optimal limited-stop bus routes selection (LSBRS) guideline as a scenario-based analysis and compared it with case study results. Smart card data and a genetic algorithm (GA) were used to de...