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Full-Text Articles in Architecture

Crp 463: University Area Multi-Modal Access Plan June 2016, William Riggs, Sam Anderson, Spencer Johnson, Garrett Wank, Alex Hunt, Lauren Leedeman, Roberto Contreras, Mark Manha, Emma Petersen, Rebecca Wysong, Shannon Boston, Augustus Grochau, Matthew Wiswell, Jerome Wu, Crp 463 Senior Project Professional Practice Jun 2016

Crp 463: University Area Multi-Modal Access Plan June 2016, William Riggs, Sam Anderson, Spencer Johnson, Garrett Wank, Alex Hunt, Lauren Leedeman, Roberto Contreras, Mark Manha, Emma Petersen, Rebecca Wysong, Shannon Boston, Augustus Grochau, Matthew Wiswell, Jerome Wu, Crp 463 Senior Project Professional Practice

City and Regional Planning Studios and Projects

This study outlines work completed as a part of the CRP 463 senior capstone class outlining a new, comprehensive approach to active transportation on the Cal Poly campus. Led by Dr. William Riggs the project assessed the current conditions, identified opportunities and constraints and then developed conceptual options for a campus active transportation plan. In addition to this process the plan involved completion of a draft Bicycle Friendly University application for the Cal Poly campus (included as a supplemental file) and envisioned conceptual design options for various locations on the campus. Key locations evaluated included the Perimeter Road / University …


Exploring Transit Ridership Using Census, Routing & Scheduling, And Stop Characteristic Data, Douglas Harvey Moody Mar 2016

Exploring Transit Ridership Using Census, Routing & Scheduling, And Stop Characteristic Data, Douglas Harvey Moody

Master's Theses

This study develops, analyzes, and a­­­­­pplies transit-system-specific regression tree models that identify and prioritize transit system improvements through analysis and application of ridership, Census, routing and scheduling, and transit stop characteristic data. Regression trees identify and rank independent variables that split dependent variable datasets into meaningful subsets according to significant relationships with independent variable datasets, and regression tree models can be used to identify and prioritize transit system improvements. In this study, ridership datatypes are the dependent variables (i.e., boardings and alightings) and Census, routing and scheduling, and transit stop characteristic datatypes are the independent variables. Data associated with the …


Automated Vehicles: A Guide For Planners And Policymakers, Charlie Coles Mar 2016

Automated Vehicles: A Guide For Planners And Policymakers, Charlie Coles

Master's Theses

Automated vehicles are those which are capable of sensing their environments in order to perform at least some aspects of the safety-critical control (like steering, throttling, or braking) without direct human input. As a guide for planners and policymakers, the objective of this thesis is to develop a strong foundation for anticipating the potential impacts resulting from advancements in vehicle automation. To establish the foundation, this thesis uses a robust qualitative methodology, coupling a review of literature on the potential advantages and disadvantages of vehicle automation and lessons from past innovations in transportation, with recent trends of the Millennial Generation, …


Calpoly 2015 Transportation Survey Report, William Riggs Jan 2016

Calpoly 2015 Transportation Survey Report, William Riggs

City and Regional Planning Studios and Projects

In the spring of 2015, City & Regional Planning faculty conducted a campus-wide transportation survey as part of work on the campus Climate Action Plan. The survey represented spring 2014 commutes and was issued to a sample of full and part-time CalPoly faculty, staff, students and auxiliaries with assistance from Facilities Services and the Vice President for Administration and Finance.

The total number of responses was 3,961, roughly 17% of the entire campus population of roughly 23,000. Unsurprisingly, the majority of respondents were students, totaling 68.6%, while the rest were made up of faculty, staff, and visitors. Results are significant …