We formulate a model for locating multiple-server, congestible facilities. Locations of these facilities maximize total expected demand attended over the region. The effective demand at each node is elastic to the travel time to the facility, and to the congestion at that facility. The facilities to be located are fixed, so customers travel to them in order to receive service or goods, and the ...

As part of efforts to promote sustainable mobility, many cities are currently experiencing the rapid expansion their metro network. The consequent growth in ridership motivates a broad range travel demand management (TDM) policies, both terms passenger flow control and dynamic pricing strategies. This work aims reveal impact TDM on commuters’ behavioural loyalty using stated-preference data col...

Modifying travel behavior is a pressing issue in the face of increasing urbanization and challenges that poses for existing infrastructure deteriorating environmental conditions. Such are particularly acute cities which have rich history seen substantial population growth. One such Isfahan, third largest city Iran, where current study was conducted. Successful modification relies on an understa...

16 Freight movement complexity and a lack of truck trip data limits freight modelling’s practicality 17 and application. Most publicly available truck movement data is reported at higher geographical levels 18 than detailed analysis and modelling require. The current Freight Analysis Framework (FAF) provides 19 freight data based on the Commodity Flow Survey (CFS) conducted every five years wit...

The goal of this project is the development of a large-scale agent-based traffic simulation system for Amsterdam urban area, validated on sensor data and adjusted for decision support in critical situations and for policy making in sustainable city development, emission control and electric car research. In this paper we briefly describe the agent-based simulation workflow and give the details ...

A great disparity exists between the direction of travel demand forecasting by researchers, and the travel demand models used by transportation planning organizations. Activity-based models of travel demand have become increasingly studied in the academic realm and significant advances have been made in recent years. However, travel demand forecasting tools used in practice have lagged behind, ...

Stated preference (SP) methods are widely used in travel behaviour research and practice to identify behavioural responses to choice situations which are not revealed in the market, and where the attribute levels offered by existing choices are modified to such an extent that the reliability of revealed preference models as predictors of response is brought into question. This paper reviews rec...

a r t i c l e i n f o A bi-level decision support system (BDSS) is proposed for a normative road network design with uncertain travel demand. A bi-level decision support model with link capacity expansion is developed to simultaneously reduce travel delay to road users and mitigate vulnerability of road network. A tractable solution scheme for BDSS is developed. Due to some hierarchy in decisio...

Emergency departments (EDs) have been becoming increasingly congested due to the combined impacts of growing demand, access block and increased clinical capability of the EDs. This congestion has known to have adverse impacts on the performance of the healthcare services. Attempts to overcome with this challenge have focussed largely on the demand management and the application of system wide p...