Documents a methodology for determining the resources required (i.e. vehicles and vehicle service hours) to provide demand-responsive transportation (DRT) for different levels of demand and different levels of service in a given service area. This report is accompanied by a software tool on CD-ROM (CRP-CD-40) that can provide a preliminary estimate of the number of vehicles required for a new or modified DRT service. An instruction manual for software use is also included on the referenced CD-ROM.

The scope of this synthesis is to (1) search out useful information on the use of computer-aided scheduling and dispatch (CASD) in demand-responsive transit (DRT) services, (2) develop an amalgamation or compendium of the current knowledge and successful practices used in computerizing the functions necessary to efficiently and effectively operate such DRT services, and (3) report on measures used to resolve specific problems in planning and implementing CASD. The ultimate objective in compiling a considerable storehouse of information is to make this information available to the public transit community. Private and nonprofit organizations that are providing DRT services will similarly benefit from a review of these results.

Recent technological advances have made feasible new and improved approaches for organizing and delivering local passenger transportation. This book draws on a selection of papers presented at the International Paratransit Conference in Monterey in October 2014 to capture these exciting developments.

This Handbook provides comprehensive coverage of all of the major factors that underpin our understanding of urban and transport planning in the developed world. Combining urban and transport planning in one volume, the chapters present the state of the art as well as new research and directions for the future. The contributions from leading international academics at the forefront of their fields consider transport and urban planning from a number of different perspectives including historical, policy and strategy dimensions, appraisal and financing of options, planning and design of urban areas and the management of transport and urban systems. Examples and practical guides from the developed world are included along with a detailed discussion of the emerging issues. The Handbook provides an essential reference to all of the key points on the topic as well as signalling areas of concern and future research paths. Academics, researchers, students, policymakers and practitioners will find it a constant source of information and guidance.

The MATSim (Multi-Agent Transport Simulation) software project was started around 2006 with the goal of generating traffic and congestion patterns by following individual synthetic travelers through their daily or weekly activity programme. It has since then evolved from a collection of stand-alone C++ programs to an integrated Java-based framework which is publicly hosted, open-source available, automatically regression tested. It is currently used by about 40 groups throughout the world. This book takes stock of the current status. The first part of the book gives an introduction to the most important concepts, with the intention of enabling a potential user to set up and run basic simulations. The second part of the book describes how the basic functionality can be extended, for example by adding schedule-based public transit, electric or autonomous cars, paratransit, or within-day replanning. For each extension, the text provides pointers to the additional documentation and to the code base. It is also discussed how people with appropriate Java programming skills can write their own extensions, and plug them into the MATSim core. The project has started from the basic idea that traffic is a consequence of human behavior, and thus humans and their behavior should be the starting point of all modelling, and with the intuition that when simulations with 100 million particles are possible in computational physics, then behavior-oriented simulations with 10 million travelers should be possible in travel behavior research. The initial implementations thus combined concepts from computational physics and complex adaptive systems with concepts from travel behavior research. The third part of the book looks at theoretical concepts that are able to describe important aspects of the simulation system; for example, under certain conditions the code becomes a Monte Carlo engine sampling from a discrete choice model. Another important aspect is the interpretation of the MATSim score as utility in the microeconomic sense, opening up a connection to benefit cost analysis. Finally, the book collects use cases as they have been undertaken with MATSim. All current users of MATSim were invited to submit their work, and many followed with sometimes crisp and short and sometimes longer contributions, always with pointers to additional references. We hope that the book will become an invitation to explore, to build and to extend agent-based modeling of travel behavior from the stable and well tested core of MATSim documented here.