The bus is the most patronised of all land–based public passenger mode but is seen as a somewhat unglamorous means of supporting mobility and accessibility, in contrast to rail – heavy and light, yet offers so much to the travelling public as well as offering attractive sustainability opportunities. This book reflects the author's perspective on issues of importance to the preservation and health of the bus sector. The twenty one chapters cover the themes of institutional reform, performance measurement and monitoring, service quality, costing and pricing of services including commercial and non-commercial contracts, travel choice and demand, integrated bus-based systems, and public transport policy, especially challenges in growing patronage.
The second edition of this popular book brings students fully up to date with the latest methods and techniques in choice analysis. Comprehensive yet accessible, it offers a unique introduction to anyone interested in understanding how to model and forecast the range of choices made by individuals and groups. In addition to a complete rewrite of several chapters, new topics covered include ordered choice, scaled MNL, generalized mixed logit, latent class models, group decision making, heuristics and attribute processing strategies, expected utility theory, and prospect theoretic applications. Many additional case studies are used to illustrate the applications of choice analysis with extensive command syntax provided for all Nlogit applications and datasets available online. With its unique blend of theory, estimation, and application, this book has broad appeal to all those interested in choice modeling methods and will be a valuable resource for students as well as researchers, professionals, and consultants.
The widespread adoption of smartphones, ridesharing and carsharing have disrupted the transport sector. In cities around the world, new mobility services are both welcomed and challenged by regulators and incumbent operators. Mobility as a Service (MaaS), an ecosystem designed to deliver collaborative and connected mobility services in a society increasingly embracing a sharing culture, is at the center of this disruption. Understanding Mobility as a Service (MaaS): Past, Present and Future examines such topics as: - How likely MaaS will be implemented in one digital platform app - Whether MaaS will look the same in all countries - The role multi-modal contract brokers play - Mobility regulations and pricing models - MaaS trials, their impacts and consequences Written by the leading thinkers in the field for researchers, practitioners, and policy makers, Understanding Mobility as a Service (MaaS): Past, Present and Future serves as a single source on all the current and evolving developments, debates, and challenges. - Includes case studies to show how MaaS is delivered around the world - Covers foundational aspects of MaaS, clarifying what it is for those new to the concept - Offers an in-depth analysis on a wide range of MaaS topics including governance, contracts, consumer and supplier preferences, links to societal objectives, the role of trials, assessments, and more
Understanding and predicting the behaviour of decision makers when choosing among discrete goods has been one of the most fruitful areas of applied research over the last thirty years. An understanding of individual consumer behaviour can lead to significant changes in product or service design, pricing strategy, distribution channel and communication strategy selection, as well as public welfare analysis. This graduate and practitioner guide, first published in 2000, deals with the study and prediction of consumer choice behaviour, concentrating on stated preference (SP) methods - placing decision makers in controlled experiments that yield hypothetical choices - rather than revealed preferences (RP) - actual choices in the market. It shows how SP methods can be implemented, from experimental design to econometric modelling, and suggests how to combine RP and SP data to get the best from each type. The book also presents an update of econometric approaches to choice modelling.
Originally published in 1981. Discrete-choice modelling is an area of econometrics where significant advances have been made at the research level. This book presents an overview of these advances, explaining the theory underlying the model, and explores its various applications. It shows how operational choice models can be used, and how they are particularly useful for a better understanding of consumer demand theory. It discusses particular problems connected with the model and its use, and reports on the authors’ own empirical research. This is a comprehensive survey of research developments in discrete choice modelling and its applications.
Bus Transport: Demand, Economics, Contracting, and Policy examines in one source the most critical and current research themes of public transport relevant to regulators, planners, operators, researchers and educators. It highlights the wider economic impacts of public transport and compares energy usage across all public transport modes. The book examines the evolving debate on Mobility as a Service (MaaS) and includes discussion of such themes as; public image issues, performance measurement and monitoring, contract procurement and design models, travel choice and demand, and global public transport reform. The book reflects the leading perspectives on the preservation and health of the bus sector, intending to move public transport reform forward.
A fully updated second edition of this popular introduction to applied choice analysis, written for graduate students, researchers, professionals and consultants.
Almost without exception, everything human beings undertake involves a choice. In recent years there has been a growing interest in the development and application of quantitative statistical methods to study choices made by individuals with the purpose of gaining a better understanding both of how choices are made and of forecasting future choice responses. In this primer the authors provide an unintimidating introduction to the main techniques of choice analysis and include detail on themes such as data collection and preparation, model estimation and interpretation and the design of choice experiments. A companion website to the book provides practice data sets and software to estimate the main discrete choice models such as multinomial logit, nested logit and mixed logit. This primer will be an invaluable resource to students as well as of immense value to consultants and professionals, researchers and anyone else interested in choice analysis and modelling.
It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards service levels, opinions on products, voting intentions, and the degree of clarity of contracts. Ordered choice models provide a relevant methodology for capturing the sources of influence that explain the choice made amongst a set of ordered alternatives. The methods have evolved to a level of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the decomposition of the residual variance. This book brings together contributions in ordered choice modeling from a number of disciplines, synthesizing developments over the last fifty years, and suggests useful extensions to account for the wide range of sources of influence on choice.
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