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You searched for subject:(Special activity generator). Showing records 1 – 2 of 2 total matches.

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Georgia Tech

1. Van Holm, Eric Joseph. Minor league metropolis: Urban redevelopment surrounding minor league baseball stadiums.

Degree: PhD, Public Policy, 2017, Georgia Tech

Special Activity Generators have been a redevelopment tool utilized by governments in order to revitalize lethargic downtowns. For small and mid-sized cities, minor league baseball stadiums have become a popular anchor development as a type of Special Activity Generator; while sports facilities are well studied, minor league stadiums have not been the focus of significant research. My dissertation uses a sequential explanatory mixed methodology to answer whether minor league baseball stadiums are successful as Special Activity Generators. I first use a quantitative analysis of sixteen stadiums built around the year 2000 that shows a large effect for the areas around the stadium compared to the rest of the city. However, that growth is created by concentrating redevelopment, not creating new activity. Two case studies clarify that the stadiums were critical to the observed redevelopment efforts, but also highly the need for thorough planning and collocated amenities prior to construction in order to maximize the results from the public investment. Advisors/Committee Members: Liu, Cathy (advisor), Lecy, Jesse (committee member), Esnard, Ann-Margaret (committee member), Rogers, Juan (committee member), Hacker, Joseph (committee member).

Subjects/Keywords: Sports stadiums; Urban redevelopment; Special activity generator

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Van Holm, E. J. (2017). Minor league metropolis: Urban redevelopment surrounding minor league baseball stadiums. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59805

Chicago Manual of Style (16th Edition):

Van Holm, Eric Joseph. “Minor league metropolis: Urban redevelopment surrounding minor league baseball stadiums.” 2017. Doctoral Dissertation, Georgia Tech. Accessed March 07, 2021. http://hdl.handle.net/1853/59805.

MLA Handbook (7th Edition):

Van Holm, Eric Joseph. “Minor league metropolis: Urban redevelopment surrounding minor league baseball stadiums.” 2017. Web. 07 Mar 2021.

Vancouver:

Van Holm EJ. Minor league metropolis: Urban redevelopment surrounding minor league baseball stadiums. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1853/59805.

Council of Science Editors:

Van Holm EJ. Minor league metropolis: Urban redevelopment surrounding minor league baseball stadiums. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59805


North Carolina State University

2. Eom, Jin Ki. Incorporating Activity-based Special Generator Data into a Conventional Planning Model.

Degree: PhD, Civil Engineering, 2007, North Carolina State University

Special generators need special attention in developing travel demand models since the standard trip generation and distribution model in the conventional four-step approach do not provide reliable estimates of their travel patterns. New modeling approaches such as activity-based and tour-based models, considering travel behavior of individual household or person, seem to be more appropriate for those special generators. However, only a few practical applications have been made since these approaches usually require a lot of data resources and computing time to solve their complicated model structure. The primary objectives of this research are to improve the trip generation and trip distribution of special generators (e.g., university) by applying an activity-based approach, and to provide a transitional methodology for practically incorporating the activity-based data into a conventional planning model. The research developed a spatial and temporal activity-based model dealing with special generator data of North Carolina State University (NCSU). Also, the research tested the transferability of university student travel data by using statistical approach and indicated that the university students' travel data can be transferred for the two cases considered. The NCSU activity-based model provided the estimates of trip generation at the disaggregated level of individual buildings by hours of the day - a disaggregation was not obtainable from a conventional planning model. The model estimates, student building presence and trip generation, compared well to field data from student registration records and student trips observed at sample buildings. The results revealed that the activity-based model well replicated both building presence and trip generation. In addition, the research compared the estimated trip generation of the activity-based model to that of a traditional planning model and discussed findings in terms of model accuracy, structure, data requirements, and capability of model application. The insights gained from this study will serve as the basis of activity-based Triangle Regional model in North Carolina. Advisors/Committee Members: Dr. John R. Stone, Committee Co-Chair (advisor).

Subjects/Keywords: special generator; travel demand; activity-based approach

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Eom, J. K. (2007). Incorporating Activity-based Special Generator Data into a Conventional Planning Model. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/3108

Chicago Manual of Style (16th Edition):

Eom, Jin Ki. “Incorporating Activity-based Special Generator Data into a Conventional Planning Model.” 2007. Doctoral Dissertation, North Carolina State University. Accessed March 07, 2021. http://www.lib.ncsu.edu/resolver/1840.16/3108.

MLA Handbook (7th Edition):

Eom, Jin Ki. “Incorporating Activity-based Special Generator Data into a Conventional Planning Model.” 2007. Web. 07 Mar 2021.

Vancouver:

Eom JK. Incorporating Activity-based Special Generator Data into a Conventional Planning Model. [Internet] [Doctoral dissertation]. North Carolina State University; 2007. [cited 2021 Mar 07]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3108.

Council of Science Editors:

Eom JK. Incorporating Activity-based Special Generator Data into a Conventional Planning Model. [Doctoral Dissertation]. North Carolina State University; 2007. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3108

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