Parking on campus is a recurring problem. The parking options are limited and with the increase in new students, the lack of space is getting worse, along with the flow of traffic. The parking lots could be bigger and more organized. Plus, only-one-way entrances should be made into double intersections to improve traffic. For a class assignment, a group of students and I were asked to discuss the issues on campus and try to resolve one. We created a project to enhance University parking. A lot of research, reading, and thought has been taken place to improve parking and traffic on Arkansas State University Campus.
There are several steps to take to meet the parking needs of a college campus. Bridget Gorman Wendling wrote a journal article, “Parking Smarter”, about colleges facing filled parking lots, annoyed students that commute, and insufficient foundation. Wendling suggests how to meet the parking demands for college campuses. First, we need to determine the needs. We need to know how students and staff commute and then measure the number of spaces needed. To do so, conducting regular parking usage surveys could be an option. Second, develop a strategy such as parking structures, several safety benefits and space for additional needs. Considering public transit can decrease parking demand and the costs of emerging substructure. Next, communicate with affected people and people who could help. Administrators and directors can be helpful by guiding what steps to take. In addition, parking technologies are always advancing with the latest efficacies, superior revenue control, energy savings, and better customer service. Wending states, “Radio frequency identification tags or keycards used for entrance to parking lot facilities, smart cards and other e-payment devices, high-speed doors, and self-service payment improve service and operational efficiencies” (Wendling 67).
Parking lots can be backed up by well-organized routing systems, such as video-based systems, by having cameras that detect parking spots. Tschentscher and other authors wrote, “Scalable Real-Time Parking Lot Classification: An Evaluation of Image Features and Supervised Learning Algorithms”, to discuss how inefficient searching for parking spaces can be effective routing systems. The authors talk about a profitable video-based system that detects vacant parking spaces. The authors are all credible sources. Tschentscher, Salmen, and Schlipsing are from the Institute for Neural Computation, Ruhr-Universität Bochum, Bochum, Germany, Koch is a part of the Department of Civil Engineering, University of Nottingham, Nottingham, UK, and Konig is the Chair of Computing in Engineering, Ruhr-Universität Bochum, Bochym, Germany. They used methods and algorithms to figure out the most efficient way to improve parking (Tschentscher, et al).
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Peter Nijkamp and Amitrajeet A. Batabyal state the importance of understanding the probabilistic excellence of parking law violation demand in an academic journal, “A Probabilistic Analysis of Two University Parking Issues” for Annals of Regional Science. The article gives two inefficiently studied issues regarding University parking. They “determined the mean parking time of an arriving car and then computed the probability distribution function of the number of occupied parking spots at any particular time” (Batabyal and Nijkamp 111). It also focuses on parking violators and estimates the number distribution of violators that are charged. The conclusion came from the analysis of studying scenarios at university parking lots. It would be practical to structure and resolve escalation problems. This will provide further awareness into a modern situation that has important economic and social consequences (Batabyal and Nijkamp).
In this journal article, it presents ParkMaster, a system for smartphones that guide drivers to find parking spaces. It estimates parking space availability using video from drivers’ smartphones while uploading real time information about which street the driver is on. The algorithm for this system evaluates each parked car’s location by combining data from a phone’s camera, GPS, and inertial sensors. This article is credible, effective, and successfully addresses counterarguments, with no fallacies compromising the effectiveness of the authors’ argument. Giulio Grassi and Giovanni Pau are from Sorbonne Universities, UPMC, LIP6, Kyle Jamieson is from Princeton University; University College London, and Paramvir Bahl is a part of Microsoft Research, Redmond. They are all credible sources who included ethos, logos, and pathos in this journal article (Grassi, et al).
Luigi Dell’Olio, Ruben Cordera, Angel Ibeas, Rosa Barreda, Borja Alonso, and JOse Luis Moura, all a part of University Cantabria, Av. de los Castros s-n, Santander 39005, discuss how many University campuses suffer from serious mobility problems. They proposed a method based on a discovered preference survey for evaluating the reactions to policies of new ways of transportation or charges for parking on campus. It is effective, credible, and successfully addresses counterarguments, with no fallacies compromising the effectiveness of the authors argument. The authors used ethos, logos, and pathos by providing data, logic, and can relate to the reader (Dell’Olio, et al).
In conclusion, the parking issues have profoundly affected the college campus and the college administration should act. It can cause friction, stress, and car accidents. There needs to be more parking options for students, professors, staff, and visitors. Along with better parking spaces closer to the building and sidewalks. Our project will help improve the traffic and parking on our University campus.
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