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Author: Qiqian Yang
Publisher:
ISBN:
Category :
Languages : en
Pages : 104
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Book Description
In the past two decades, Austin has tremendous population growth, job opportunity in the downtown core and transportation challenges associated with that. Public transit, and particularly rail, often is regarded as a strategy to help reduce urban traffic congestion. The Urban Rail, which combines features of streetcars and light rail, is introduced into Austin as a new transit rail. The City of Austin, Capital Metro and Lone Star Rail are actively studying routing, financial, environmental and community elements associated with a first phase of Urban Rail. This thesis collected 2010 Origin and Destination Rail Transit Survey data from Capital Metropolitan Transportation Authority. The research focuses on the rail transit ridership. Two regression models are applied to analyze the factors influencing Austin rail transit ridership. One model is focusing on the socioeconomic characteristics. One model is focusing on the spatial factors. Our model shows that demographic factors have more significant effect than spatial factors. In addition, this work also tries to analyze the correlations between those factors and make recommendations based on the analysis result.
Author: Qiqian Yang
Publisher:
ISBN:
Category :
Languages : en
Pages : 104
Get Book Here
Book Description
In the past two decades, Austin has tremendous population growth, job opportunity in the downtown core and transportation challenges associated with that. Public transit, and particularly rail, often is regarded as a strategy to help reduce urban traffic congestion. The Urban Rail, which combines features of streetcars and light rail, is introduced into Austin as a new transit rail. The City of Austin, Capital Metro and Lone Star Rail are actively studying routing, financial, environmental and community elements associated with a first phase of Urban Rail. This thesis collected 2010 Origin and Destination Rail Transit Survey data from Capital Metropolitan Transportation Authority. The research focuses on the rail transit ridership. Two regression models are applied to analyze the factors influencing Austin rail transit ridership. One model is focusing on the socioeconomic characteristics. One model is focusing on the spatial factors. Our model shows that demographic factors have more significant effect than spatial factors. In addition, this work also tries to analyze the correlations between those factors and make recommendations based on the analysis result.
Author: Han Park
Publisher:
ISBN:
Category :
Languages : en
Pages : 140
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Book Description
Transit ridership analysis has been advancing towards the use of disaggregate spatial and boarding data. This study attempts to improve the understanding of factors influencing transit ridership by estimating/comparing ridership models at the route, the segmented route, and the stop level in the Austin area. Spatial and statistic analysis methods are used in this study. The dependent variable is ridership at the transit route, the segmented route, and the stop level, whereas independent variables consist of traveler characteristics, land use, transit service characteristics, and other contextual factors. Spatial analysis is conducted using Geographic Information System (GIS) to compile data within a quarter-mile buffer from each transit stop, each segregated route, and each route. Linear and semi-log models of ridership are estimated using Statistical Analysis System (SAS). Initial analysis confirms the qualitative understanding that traveler demographics such as population and employment densities, ethnic background, and income significantly affect transit ridership. Land use composition, measured by the shares of single-family homes, multi-family homes, commercial, civic uses, as well as the total area of paved parking, all influence transit use. Service qualities such as headway and transfer opportunities also matter. Sensitivity tests of these factors affecting ridership are carried out to compare model performance among the route, segmented route, and the stop level analyses. It is expected that the study findings will help to better inform transit agencies and local communities in optimizing existing transit operations, planning for new services, and developing transit-friendly environments. Primary data were obtained from the Capital Metropolitan Transit Authority and the Census Bureau, and secondary data was processed by GIS analysis.
Author: Bradley Thomas Peel
Publisher:
ISBN:
Category :
Languages : en
Pages : 126
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Book Description
Author: Texas Mass Transportation Commission
Publisher:
ISBN:
Category : Local transit
Languages : en
Pages : 270
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Book Description
Author: Ming Zhang
Publisher:
ISBN:
Category : Local transit
Languages : en
Pages : 38
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Book Description
Author: David Kuperman
Publisher:
ISBN:
Category :
Languages : en
Pages : 196
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Book Description
Author: Junfeng Jiao
Publisher: Elsevier
ISBN: 0128230886
Category : Transportation
Languages : en
Pages : 166
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Book Description
Shared Mobility offers a current view on one of the most significant economic activities in recent years. While most studies investigate shared mobility services and transportation piecemeal by city, mode, or company, this book focuses on transportation network companies themselves, highlighting shared bikes and E-scooters. Sections cover how they perform at the local or regional level in an effort to help governments better plan and regulate these emerging services. Shared Mobility explores the opportunities and challenges in these new systems and provides a thorough and succinct reference text for researchers, graduate students, and professionals in the fields of transportation planning, transportation engineering, and urban planning. - Examines data collected from the author's extensive multi-year lab study on shared mobility and transportation - Offers a detailed quantitative analysis of shared mobility activities and their impacts on people and cities - Explores the interactions between shared mobility modes and policy outcomes
Author: Chad Coburn
Publisher:
ISBN:
Category :
Languages : en
Pages : 116
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Book Description
Commuter rail infrastructure often adds value to neighboring properties. The best methods to measure changes in values require baseline data from a year prior to system implementation. The current planning of a commuter rail in Austin, TX presents the need to document property values for future studies. The report records 2005 property values from Travis and Williamson Central Appraisal Districts, using GIS to group the data by various distances away from the proposed train stations. In addition, a large set of secondary improvement data and census demographic information about each site has been accumulated. Future researchers will be able to conduct matched-pair and multivariable regression models with the data, and rely on the station descriptions for a solid understanding of the sites and their relationships.
Author: Santiago Fernandez Reyes
Publisher:
ISBN:
Category :
Languages : en
Pages : 136
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Book Description
The Mexico City Metropolitan Area (MCMA) faces pressing mobility and environmental challenges. A growing group of academics, NGOs, international institutions, and government agencies point to the need to expand and improve the public transportation system, as well as move towards more sustainable urban development patterns. Transit-oriented development (TOD), an urban planning concept based on the coordination of transit infrastructure with dense, compact, and mixed-use neighborhoods, has been identified as a potential tool to address critical mobility, environmental, accessibility, and equity issues in the MCMAj. Yet, an effective TOD policy will require an understanding of the factors associated with transit ridership, particularly those related to the built-environment and land use. Traditional ridership estimation methods are data-intensive and prohibitively costly for many developing-world cities. In addition, they are not designed to analyze the influence pf station-level characteristics. Direct ridership modelling (DRM), a "sketch-planning" tool that uses multivariate regressions to predict station-level ridership, is a viable alternative that allows planners to achieve reasonable estimates quickly and economically, while also enabling the analysis of the relationship between the station-area built environment and transit ridership. In this thesis, I use data from a variety of public and open data sources to estimate direct ridership models for Mexico City's Metro and BRT systems, including sociodemographic, land use, built environment, transit system, and relative location characteristics. I find that some of the variables included have different effects on BRT and Metro, suggesting that the two systems play different roles within the public transportation network. Mainly, Metro ridership is driven by employment, while station-area population drives BRT ridership. Colectivos, a privately owned and operated semi-formal network of vans and microbuses -which had been hard to analyze due to lack of data- are important determinants of ridership in the mass-transit system. Interestingly, I also find evidence that built environment characteristics, such as well-Fonnected street grids, influence transit ridership. I discuss the implications of these results for a TOD policy in the Mexico City Metropolitan Area. The results point to the need of further research concerning travel and the built environment in developing-world cities, and support the claim that "sketch-planning" tools estimated with public and open data sources are useful to complement demand forecasts.
Author: Lauren Katherine Kniejski
Publisher:
ISBN:
Category :
Languages : en
Pages : 116
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Book Description
The population of Austin, Texas is projected to reach 1.6 million people by the year 2040, which doubles the city's current population. The populations of cities in neighboring counties, Hays and Williamson, are projected to experience even more growth within the same time frame. For the first time in history, over half of the world's population lives in urban areas, so sustainable development is currently relevant for urban planning. Until 2010, Austin lacked a mass public transportation system. Currently, Capital Metro, Austin's main public transportation operator, operates the Red Line of the MetroRail, a commuter rail system. The Red Line only serves a specific subset of the population in Austin and its northern neighbors, running from the city of Leander, through northern Austin, before its final stop in downtown Austin. Because of this, Capital Metro will begin operations on a new method of rapid mass transit: a bus rapid transit system called MetroRapid. With two lines opening in 2014, MetroRapid will function as a mass rapid public transit option for two of the busiest north-south corridors in the city. The opening of MetroRapid will provide opportunities to stimulate growth in areas focused around this transit system. Transit-oriented development can be a method of guiding Austin's future growth that will theoretically facilitate and encourage public transit use. The benefits to such growth would be reduced congestion, less dependency on automobiles and fostering communities that are vibrant and self-sustaining. This paper defines Transit-Oriented Developments (TODs), Bus Rapid Transit (BRT), and analyzes the MetroRapid stations themselves as Austin moves toward becoming a sustainable city.
