As a city manager for a mid-size city, you must be able to examine patterns and trends to highlight organizational performance and support organizational strategic planning. One of the ways that is done is through analyzing the statistics. Still, just presenting the numbers is not always the most efficient way to present your analysis.
Scenario
You are a city manager for a mid-size city that is anticipating increases in population and auto traffic as new industries move into the downtown area. Parking spaces are already hard to find and traffic congestion can be problematic from commuters and events like concerts and sports. Before considering adding additional parking, you think it is possible to use existing parking more effectively through a smart parking app that identifies parking space availability in different parking lots throughout the city in real time.
In this assessment, you will demonstrate your skill in information visualization when you present your recommendations to the City Council members who are responsible for deciding whether the city invests in resources to set in motion the smart parking space app.
Preparation
Review the parking space usage file.
Select any 2 parking lots. For each one, review the scatter plot showing the occupancy rate at each time stamp during the week of 11/20/2022 –11/26/2022. Identify whether occupancy rates are time dependent. If so, identify the times that seem to experience the highest occupancy rates.
Research “smart cities” to provide guidance and support for your presentation.
Assessment Deliverable
Create a 7-10slide information visualization presentation including voice-over or screencast video. Include the following in your presentation:
Outline the rationale and goals of the project.
Analyze the box plot charts showing the occupancy rates for each day of the week and interpret the results.
Analyze the box plot charts showing the occupancy rates for each parking lot and interpret the results.
Choose 2 scatter plot charts showing occupancy rate against the time of day over the course of the week and interpret the results.
Make a recommendation about continuing with the implementation of this project.
Smart Parking Solutions for a Growing City: A Data-Driven Approach
Smart Parking Solutions for a Growing City: A Data-Driven Approach
Introduction
As a city manager for a mid-size city experiencing population growth and increasing auto traffic due to new industries moving in, it is crucial to explore innovative solutions to address parking challenges. In this assessment, I will present a data-driven analysis and visualization to propose the implementation of a smart parking app to optimize existing parking resources effectively.
Rationale and Goals
The goal of this project is to enhance parking space utilization through real-time monitoring and availability updates using a smart parking app. By implementing this technology, we aim to alleviate parking congestion, improve traffic flow, and enhance overall commuter experience in the city.
Analysis of Occupancy Rates
Box Plot Charts by Day of the Week
- The box plot charts illustrate the distribution of occupancy rates for each day of the week.
- By analyzing these charts, we can identify trends in parking space usage patterns throughout the week.
- Understanding the variations in occupancy rates can help in optimizing resource allocation and scheduling maintenance activities.
Box Plot Charts by Parking Lot
- The box plot charts display the occupancy rates for each parking lot, highlighting differences in utilization levels.
- By comparing occupancy rates across different parking lots, we can identify high-demand areas that require immediate attention.
- This analysis aids in prioritizing areas for implementing the smart parking app based on utilization patterns.
Scatter Plot Charts by Time of Day
- The scatter plot charts showcase the occupancy rate against the time of day for selected parking lots.
- By examining these plots, we can identify peak hours of parking demand and fluctuations in occupancy rates.
- This information is crucial for optimizing pricing strategies, managing peak traffic times, and enhancing user experience through real-time availability updates.
Recommendation
Based on the analysis conducted, I strongly recommend proceeding with the implementation of the smart parking space app. The data-driven insights obtained from the visualization tools demonstrate the potential benefits of leveraging technology to optimize parking resources efficiently. By providing real-time updates on parking availability, the smart app can significantly reduce traffic congestion, improve customer satisfaction, and enhance the overall mobility ecosystem in our city.
Conclusion
In conclusion, embracing smart parking solutions is essential for addressing the parking challenges faced by our growing city. By harnessing data visualization techniques and leveraging innovative technologies, we can create a more sustainable and efficient urban environment for residents, commuters, and visitors alike. Let us move forward with the implementation of the smart parking app to pave the way for a smarter, more connected city.
By incorporating data-driven insights and visualization techniques, we can empower decision-makers to make informed choices that drive positive change and enhance urban livability. The implementation of a smart parking solution represents a proactive step towards building a more sustainable and resilient city for the future.