No description available.

This thesis examines the existence of a dominant route between a hub pair and factors that influence bike share cyclists route choices. This research collects 132,396 hub to-hub global positioning system (GPS) trajectories over a 12-month period between April 1, 2015 and March 31, 2016 from 750 bicycles provided by a bike share program (BSP) called SoBi (Social Bicycles) Hamilton. Then, a GIS-based map-matching toolkit is used to convert GPS points to map-matched trips and generate a series of route attributes. In order to create choice sets, unique routes between the same hub pair are extracted from all corresponding repeated trips using a link signature tool. The results from t statistics and Path-size logit models indicate that bike share cyclists are willing to detour for some positive features, such as bicycle facilities and low traffic volumes, but they also try to avoid too circuitous routes, turns, and steep slopes over 4% though detouring may come with a slight increase in turns. This research not only helps us understand BSP cyclist route preferences but also presents a GIS-based approach to determine potential road segments for additional bike facilities on the basis of such preferences. / Thesis / Master of Science (MSc)

No description available.

Yu Hongbo. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references (leaves 130-138). / Abstracts in English and Chinese. / ABSTRACT IN ENGLISH --- p.i-ii / ABSTRACT IN CHINESE --- p.iii / ACKNOWLEDGEMENTS --- p.iv-v / TABLE OF CONTENTS --- p.vi-viii / LIST OF TABLES --- p.ix / LIST OF FIGURES --- p.x-xi / Chapter CHAPTER I --- INTRODUCTION / Chapter 1.1 --- Problem Statement --- p.1 / Chapter 1.2 --- Research Purpose --- p.5 / Chapter 1.3 --- Significance --- p.7 / Chapter 1.4 --- Methodology --- p.8 / Chapter 1.5 --- Outline of the Thesis --- p.9 / Chapter CHAPTER II --- LITERATURE REVIEW / Chapter 2.1 --- Introduction --- p.12 / Chapter 2.2 --- Origin of GIS --- p.12 / Chapter 2.3 --- Development of GIS-T --- p.15 / Chapter 2.4 --- Capabilities of GIS-T --- p.18 / Chapter 2.5 --- Structure of a GIS-T --- p.19 / Chapter 2.5.1 --- Data Models for GIS-T --- p.19 / Chapter 2.5.2 --- Relational DBMS and Dueker-Butler's Data Model for Transportation --- p.22 / Chapter 2.5.3 --- Objected-oriented Approach --- p.25 / Chapter 2.6 --- Main Techniques of GIS-T --- p.26 / Chapter 2.6.1 --- Linear Location Reference System --- p.26 / Chapter 2.6.2 --- Dynamic Segmentation --- p.27 / Chapter 2.6.3 --- Planar and Non-planar Networks --- p.28 / Chapter 2.6.4 --- Turn-table --- p.28 / Chapter 2.7 --- Algorithms for Finding Shortest Paths on a Network --- p.29 / Chapter 2.7.1 --- Overview of Routing Algorithms --- p.29 / Chapter 2.7.2 --- Dijkstra's Algorithm --- p.31 / Chapter 2.7.3 --- Routing Models for the Multi-modal Network --- p.32 / Chapter 2.8 --- Recent Researches on GIS Data Models for the Multi-modal Transportation System --- p.33 / Chapter 2.9 --- Main Software Packages for GIS-T --- p.36 / Chapter 2.10 --- Summary --- p.37 / Chapter CHAPTER III --- MODELING THE MULTI-MODAL PUBLIC TRANSPORTATION SYSTEM / Chapter 3.1 --- Introduction --- p.40 / Chapter 3.2 --- Elaborated Stages and Methods for GIS Modeling --- p.40 / Chapter 3.3 --- Application Domain: The Multi-modal Public Transportation System --- p.43 / Chapter 3.3.1 --- Definition of a Multi-modal Public Transportation System --- p.43 / Chapter 3.3.2 --- Descriptions of the Multi-modal Public transportation System --- p.44 / Chapter 3.3.3 --- Objective of the Modeling Work --- p.46 / Chapter 3.4 --- A Layer-cake Based Application Domain Model for the Multi- modal Public Transportation System --- p.46 / Chapter 3.5 --- A Conceptual Model for the Multi-modal Public Transportation System --- p.49 / Chapter 3.6 --- Logical and Physical Implementation of the Data Model for the Multi-modal Public Transportation System --- p.54 / Chapter 3.7 --- Criteria for Routing on the Multi-modal Public Transportation System --- p.57 / Chapter 3.7.1 --- Least-time Routing --- p.58 / Chapter 3.7.2 --- Least-fare Routing --- p.60 / Chapter 3.7.3 --- Least-transfer Routing --- p.60 / Chapter 3.8 --- Summary --- p.61 / Chapter CHAPTER IV --- DATA PREPARATION FOR THE STUDY AREA / Chapter 4.1 --- Introduction --- p.53 / Chapter 4.2 --- The Study Area: Hong Kong Island --- p.63 / Chapter 4.2.1 --- General Information of the Transportation System on Hong Kong Island --- p.63 / Chapter 4.2.2 --- Reasons for Choosing Hong Kong Island as the Study Area --- p.66 / Chapter 4.2.3 --- Mass Transit Routes Selected for the Prototype --- p.67 / Chapter 4.3 --- Data Source and Data Collection --- p.67 / Chapter 4.4 --- Geographical Data Preparation --- p.71 / Chapter 4.4.1 --- Data Conversion --- p.73 / Chapter 4.4.2 --- Geographical Data Input --- p.79 / Chapter 4.5 --- Attribute Data Input --- p.86 / Chapter 4.6 --- Summary --- p.88 / Chapter CHAPTER V --- IMPLEMENTATION OF THE PROTOTYPE / Chapter 5.1 --- Introduction --- p.89 / Chapter 5.2 --- Construction of the Route Service Network --- p.89 / Chapter 5.2.1 --- Generation of the Geographical Network --- p.90 / Chapter 5.2.2 --- Setting Attribute Data for the Route Service Network --- p.95 / Chapter 5.3 --- A GIS-T Prototype for the Study Area --- p.102 / Chapter 5.4 --- General GIS Functions of the Prototype --- p.104 / Chapter 5.4.1 --- Information Retrieve --- p.104 / Chapter 5.4.2 --- Display --- p.105 / Chapter 5.4.3 --- Data Query --- p.105 / Chapter 5.5 --- Routing in the Prototype --- p.105 / Chapter 5.5.1 --- Routing Procedure --- p.108 / Chapter 5.5.2 --- Examples and Results --- p.110 / Chapter 5.5.3 --- Comparison and Analysis --- p.113 / Chapter 5.6 --- Summary --- p.118 / Chapter CHAPTER VI --- CONCLUSION / Chapter 6.1 --- Research Findings --- p.123 / Chapter 6.2 --- Research Limitations --- p.126 / Chapter 6.3 --- Direction of Further Studies --- p.128 / BIBLIOGRAPHY --- p.130

published_or_final_version / Urban Planning / Master / Master of Science in Urban Planning

Intelligent Transportation System (ITS) provides a great platform for the planners to reduce environmental externalities from auto. We now have access to real time data. We have been using shortest path to provide route choice to the user. But we have the potential to add more variables in choosing routes. Real time data can be used to measure carbon di-oxide emission during a trip. Also, fuel efficiency can be measured using the real time data. Planners should use this potential of ITS to reduce the environmental impact. This paper thus try to evaluate if considering three variables shortest path, environmental impact and fuel efficiency together instead of only shortest path will change the route choice or not. It provides case studies on different types of routes and between different sets of origin /destination to evaluate the combined influence of these three variables on route choice.

Esta dissertação baseia-se na aplicação de um procedimento empírico envolvendo técnicas de preferência declarada para a estimativa do valor do tempo de viagem de motoristas em deslocamentos regionais, em um contexto de escolha entre rotas pedagiadas e não pedagiadas. Inicialmente é feita uma revisão das abordagens teórica e empírica sobre a valoração do tempo. São também revistos os conceitos básicos de outros dois elementos fundamentais na metodologia aqui utilizada: a teoria da escolha e técnicas de preferência declarada. Uma aplicação a um estudo de caso específico é feita usando informações coletadas em ampla pesquisa de preferência declarada, realizada em 2005 com motoristas de automóvel em diversos pontos da malha rodoviária do estado de São Paulo. O desenho experimental da preferência declarada envolvia três atributos: tempo de viagem por uma rota pedagiada, custo tarifário e tempo de viagem por uma rota não pedagiada. O conjunto das informações foi analisado e utilizado na obtenção de modelos de escolha discreta do tipo logit multinomial; os valores do tempo de viagem foram obtidos a partir dos coeficientes estimados em funções de utilidade aditivas e lineares nos parâmetros. Analisou-se também a variação do valor do tempo em função de características do motorista e da viagem, questão abordada através da estimação de diferentes modelos por segmentos da amostra e da especificação de funções de utilidade que incorporam variáveis dummies para representação das características analisadas. Os resultados indicaram, para a escolha específica estudada, valores de tempo médios de cerca de R$ 16/h, variando de R$12/h a R$23/h para diferentes segmentos de viajantes analisados. A duração da viagem foi uma importante característica associada a variações no valor do tempo, que decresceu na medida em que as durações aumentaram. Variações expressivas no valor do tempo de viagem foram também observadas para viagens a lazer, motoristas de renda familiar baixa e aqueles com alta posse de veículos. / This dissertation is based on the application of an empirical procedure using stated preference techniques for the estimation of the value of travel time for drivers in regional trips, in the context of a choice between tolled and non-tolled routes. It first reviews the theoretical and the empirical approaches for the valuation of travel time and then presents the basic concepts of two other topics relevant for the methodology adopted: choice theory and stated preference methods. An application to a specific case study is then presented, using information from a stated preference survey conducted in 2005 with a large sample of car drivers intercepted at several points in the highway network of the state of São Paulo. The stated preference experimental design considered three attributes: trip time on a tolled route, value of toll and trip time on a non-tolled route. Survey data were analyzed and used for the estimation of discrete choice (multinomial logit) models; values of travel time were derived from estimates of coefficients of an additive linear in the parameters utility function. The specification of the models and the segmentation of the sample allowed the estimation of the variation of travel time according to some selected driver and trip characteristics. Results indicated, for the specific choice context analyzed, an average value of travel time of approximately R$16/h, varying from about R$12/h to R$23/h for different segments of travelers. Trip length was an important characteristic influencing the variation of the value of travel time, which declined as trip length increased. Other important effects were found for leisure trips, for travelers with low income and for those with high family car ownership.

The use of GPS observations for investigating routing behaviors can be a good alternative to using more traditional traffic simulation models. In this paper, a method for inferring paths from GPS observations is proposed. Further, a route set generation algorithm is implemented. The inferred trips are used for the calibration of the parameters in the route set generation algorithm. The investigated network is part of the Interstate 210 freeway east of Los Angeles, USA. The results shows significant differences in number of eastbound travelers choosing to travel north of, south of, and on the freeway during regular days compared with the incident day. The travel times are also higher during the incident day. Different travel times as costs on the links have a large impact on the results from the route set generation algorithm. The conclusion is that the implemented methods can be used to gain a better understanding about routing behavior. However, to use the results for decision making, more input data with better precision should be used.

Esta dissertação baseia-se na aplicação de um procedimento empírico envolvendo técnicas de preferência declarada para a estimativa do valor do tempo de viagem de motoristas em deslocamentos regionais, em um contexto de escolha entre rotas pedagiadas e não pedagiadas. Inicialmente é feita uma revisão das abordagens teórica e empírica sobre a valoração do tempo. São também revistos os conceitos básicos de outros dois elementos fundamentais na metodologia aqui utilizada: a teoria da escolha e técnicas de preferência declarada. Uma aplicação a um estudo de caso específico é feita usando informações coletadas em ampla pesquisa de preferência declarada, realizada em 2005 com motoristas de automóvel em diversos pontos da malha rodoviária do estado de São Paulo. O desenho experimental da preferência declarada envolvia três atributos: tempo de viagem por uma rota pedagiada, custo tarifário e tempo de viagem por uma rota não pedagiada. O conjunto das informações foi analisado e utilizado na obtenção de modelos de escolha discreta do tipo logit multinomial; os valores do tempo de viagem foram obtidos a partir dos coeficientes estimados em funções de utilidade aditivas e lineares nos parâmetros. Analisou-se também a variação do valor do tempo em função de características do motorista e da viagem, questão abordada através da estimação de diferentes modelos por segmentos da amostra e da especificação de funções de utilidade que incorporam variáveis dummies para representação das características analisadas. Os resultados indicaram, para a escolha específica estudada, valores de tempo médios de cerca de R$ 16/h, variando de R$12/h a R$23/h para diferentes segmentos de viajantes analisados. A duração da viagem foi uma importante característica associada a variações no valor do tempo, que decresceu na medida em que as durações aumentaram. Variações expressivas no valor do tempo de viagem foram também observadas para viagens a lazer, motoristas de renda familiar baixa e aqueles com alta posse de veículos. / This dissertation is based on the application of an empirical procedure using stated preference techniques for the estimation of the value of travel time for drivers in regional trips, in the context of a choice between tolled and non-tolled routes. It first reviews the theoretical and the empirical approaches for the valuation of travel time and then presents the basic concepts of two other topics relevant for the methodology adopted: choice theory and stated preference methods. An application to a specific case study is then presented, using information from a stated preference survey conducted in 2005 with a large sample of car drivers intercepted at several points in the highway network of the state of São Paulo. The stated preference experimental design considered three attributes: trip time on a tolled route, value of toll and trip time on a non-tolled route. Survey data were analyzed and used for the estimation of discrete choice (multinomial logit) models; values of travel time were derived from estimates of coefficients of an additive linear in the parameters utility function. The specification of the models and the segmentation of the sample allowed the estimation of the variation of travel time according to some selected driver and trip characteristics. Results indicated, for the specific choice context analyzed, an average value of travel time of approximately R$16/h, varying from about R$12/h to R$23/h for different segments of travelers. Trip length was an important characteristic influencing the variation of the value of travel time, which declined as trip length increased. Other important effects were found for leisure trips, for travelers with low income and for those with high family car ownership.

Stochastic User Equilibrium (SUE) models allow the representation of the perceptual and preferential differences that exist when drivers compare alternative routes through a transportation network. However, as an effect of the used choice models, conventional applications of SUE are based on the assumption that all available routes have a positive probability of being chosen, however unattractive. In this paper, a novel choice model, the Bounded Choice Model (BCM), is presented along with network conditions for a corresponding Bounded SUE. The model integrates an exogenously-defined bound on the random utility of the set of paths that are used at equilibrium, within a Random Utility Theory (RUT) framework. The model predicts which routes are used and unused (the choice sets are equilibrated), while still ensuring that the distribution of flows on used routes accords to a Discrete Choice Model. Importantly, conditions to guarantee existence and uniqueness of the Bounded SUE are shown. Also, a corresponding solution algorithm is proposed and numerical results are reported by applying this to the Sioux Falls network.