Abstract Not Provided. / Thesis / Master of Engineering (MEngr)

Public transportation stands a very important role in the modern society. It solves many transportation problems, reduces the negative impacts of motor vehicles to the environment, and brings benefit and mobility to everyone. Public transportation models are used in urban area transit networks in order to predict the future impacts of the traffic policy and changes. Models in public transportation simulation are extensively studied in the literature, but very few have compared all the available models to a traffic data to find which model is the most accurate one in simulating a transit network. This study provides an overview of some of the available approaches in public transportation modeling, describes how they work by both theoretical review and examples. On the analysis, the modeling results from each model are compared with the Stockholm traffic data. The Stockholm traffic data of average weighted travel time, travel distance, in-vehicle travel distance and number of transfers are extracted from the RES05/06 survey data. The model which provides modeling outputs with least root mean square error compared to the survey data is found. This study could give an initial suggestion for the same type of transit modeling in choosing the appropriate model and finding the direction for calibrating the parameter settings through our proposed comparison measures.

The objective of this study is to develop a quantifying model that predicts the appraised unit value of parcels in San Francisco County based on number of LEED-NC Public Transportation Access (PTA) qualified bus, light rail and commuter rail stops, distance to closest bus, light rail and commuter rail stops, zoning class and parcel size. As a population of interest, San Francisco County was chosen since it is known as a region having well-organized transportation systems including bus, light rail and commuter rail systems. According to the correlation results, for mixed zone, an appraised unit value increases as the number of LEED qualified transit stops increases (bus, light rail, and commuter rail). In addition, the appraised unit value increases as the distance to LEED qualified bus stops light rail stops decreases. For residential zone, the appraised unit value increases as the number of LEED qualified bus and light rail stations increases. Furthermore, the appraised unit value increases as the distance to LEED qualified bus stops decreases. When it comes to the predictive regression model for mixed zone, the adjusted R-square of the transformed model was 0.713, which indicates that 71.3 percent variability in transformed unit value of parcels could be explained by these variables. In addition, for the predictive model of residential zone, the adjusted R-square for the model was 0.622 thus the independent variables together accounted for 62.2 percent variability in the transformed unit value of parcels. The predicting models for mixed and residential zones were significant that suggests that the components of LEED-NC PTA criteria, number and distance from parcels, this could affect land development strategies. In addition, an appraised unit value of parcels in San Francisco County can be estimated by using the predictive models developed in this study. Therefore, the findings of this study could encourage real-estate developers to site their projects according to the LEED-NC PTA criteria.

TransCity, Port-au-Prince 城市的公共運輸計劃 / Essence Trans-City is a shuttle bus service for enthusiast commuters who live in Port-au-Prince area. Initially operating six, thirty passenger buses, the company’s goals is to provide affordable, reliable, and safe transportation to its customers, allowing them to avoid the numerous inconveniences that go along with public transportation. Service Trans-City’s main revenue will come from by riding commuters to the metropolitan area. Our service will enable people to avoid hassles of traffic, giving them more time to enjoy with their family after a daily tired activities. Aside from revenue earned from riding fees, Trans-City will generate additional revenue from advertising fees. Trans-City will offer an innovative form advertising (mobile advertising) to others companies who are seeking new way to penetrate their markets. Opportunity Due to the lack of reliable public transportation, most Haitian rely on Tap-Tap, small buses, to move around the country/cities. Those small buses do not offer the comfort needed for an enjoyable trip, no spacious and comfortable seating. Then, there is a high demanding for convenient, reliable, and safe public transportation in Haiti. Competitive Advantage Trans-City will differentiate itself over its competitors by offering to the commuters a high quality service, where everyone will feel comfortable to ride in the metropolitan area. Trans-City will offer all comfort needed for a restful trip. With our service, luxury and style are the name of the game. Plan to expansion Initially, Trans-City will offer its service to three zones in the metropolitan area: Port-au-Prince, Petion-Ville, and Delmas. After Trans-City is successfully established in Port-au-Prince, we would like to expand our service to other major cities in Haiti such as Cap-Haitien, Gonaives, Jacmel and Les Cayes.

Thesis (Ph.D.)--University of California, Los Angeles, 1992. / Includes bibliographical references (p. 198-213). Also available online.

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This interdisciplinary thesis combines psychological and transportation planning knowledge. Three main questions are investigated: 1) What concepts and ideas do people have with regard to a public transportation system (cognitive user perspective)?; 2) What orientation and information factors within the public transportation system enhance Ease-of-Use and make it simpler and more efficient to use public transportation in metropolitan areas?; 3) How can Ease-of-Use of a public transportation route be measured? A combination of qualitative and quantitative methods was used. Between 2002 and 2007 a total of nine different studies were conducted: An in-depth study on a single exchange student, an interview study with exchange students, a questionnaire study on exchange students, a before-after interview study with travellers on selected bus stops, an before-after telephone interview study on residents, an expert questionnaire study via email, a behaviour observation study on travellers, a before-after questionnaire study on travellers on a tram line, and an on-board questionnaire study. To analyse the cognitive user perspective the term memory representation was introduced, that includes cognitive maps of and additional knowledge about a public transportation system such as service frequency. Memory representation is influenced by experience. Three learning phases in an unknown public transportation system are proposed and a general information search script is described. A new approach is presented regarding the organisation of public transportation knowledge: The ground level is that there exists a public transportation option, the next level is the identification of the mode of transport and at the highest level of the hierarchy is the code for the line. Within the second level, the public transportation mode, a hierarchical structure of public transportation option knowledge is proposed. Three factors are postulated that contribute to the extent to which a line is represented in people’s memory: visibility, straight route layout and labelling. Which orientation and information factors within the public transportation system enhance Ease-of-Use, i.e. match the cognitive user perspective? It was found that trunk bus lines enhanced Ease-of-Use and at-stop real-time information can have various positive effects. The role of good maps is explained and stretched and the importance of consistent information throughout the travel chain is also pointed out. In addition, many valuable concrete hints are given with regard to how to match the system properly with the cognitive user perspective. Undoubtedly, an interaction exists between system and user and they influence each other. This is where the third research question comes in: How can Ease-of-Use in public transportation systems be measured? The iterative process of defining and measuring Ease-of-Use resulted in a scale that measured the defined concept well with good reliability and validity. The final discussion highlights the contribution to science of this thesis and presents some possible paths for further research. The thesis consists of a summary and eight papers. / QC 20100621

This quantitative study investigates on how the attitudes amongst people in Tampa are towards the use of public transportation and also analyse which factors they consider vital for its development. The data is collected with the help of an online questionnaire and later compared with the current comprehensive plan and transportation plan in Tampa, after a qualitative literature review, in order to analyse and compare if there are any differences between the respondents and the planners. In other word’s compare theory to what is happening in reality. The results show that both the planners and the respondents acknowledge the dominance and negative effects of car use and that an expansion of public transportation is necessary in order to enhance the overall quality of life but also sustainability. The biggest difference was the attitude toward and belief in Mobility Management and soft measures. As the plan documents do not put any emphasis on the importance of changing attitudes with the help of soft measures, the respondents showed that Mobility Management and services linked to it could be a vital factor to change overall attitude towards public transportation if it were implemented.

Houston is one of the fastest growing metropolis’ in the country. Driving this growth is the oil and gas industry and also the Texas Medical Center, the world’s largest medical center. With such growth comes various problems. One of the leading problems according to its citizens in 2014 was traffic and the lack of access to public transportation. This project aims to help find solutions to this problem by locating areas that could help improve public transportation access and take a look at Houston’s accessibility via roadways. Using datasets from various Houston agencies such as the City of Houston and the Houston-Galveston Area Council, overlay analysis was used to help find prime areas that could be improved. Using ESRI ArcMap, models were completed in order to automate the analysis process. Tools such as raster conversion, Euclidean distance, zonal stats as table, and reclassify were used. In order to analyze Houston accessibility via the roadways, ArcGIS Online was used. Several Proximity analyses were run in order to view various types of dating dealing with the accessibility of Houston using roadways. The results show areas that do not currently have access to public transportation and areas that would be suitable locations for improvements based on different criteria. For roadway access, the results show average commute times, drive-time accessibility, and freeway access. This will allow for the accessibility of Houston to be shown whether it is by public transportation or by roadway.