NYC Tree11 Metrics

Collaboration between cornell tech and NYCDPR focused on visualization, communication, and contextualization of public data to bring new yorkers insight into how forestry service requests are addressed by the new york city department of parks and recreaction.

HOW TO INTERPRET DATA

The number of service requests, work orders, and inspections all show a similar trend over the months. There is a visible increase in these activities, particularly starting from March, with a peak around May. This suggests a seasonal pattern, potentially related to increased park usage or maintenance needs during warmer months.

1. There is a strong positive correlation between all three categories.

2. The correlation between work orders and inspections is particularly high (0.99), indicating that a large number of work orders might directly lead to or result from inspections.

3. Service requests also show a strong correlation with both work orders (0.90) and inspections (0.89), suggesting that increased service requests often coincide with heightened work orders and inspection activities.

HOW TO INTERPRET DATA

1. The number of service requests, work orders, and inspections generally increases from Q1 to Q3, indicating a peak in activities during the warmer months.

2. The decrease in Q4 suggests a seasonal reduction in park activities and corresponding maintenance needs.

3. The data strongly suggests that the volume of service requests, work orders, and inspections is influenced by seasonal factors.

4. The peak in Q2 and Q3 (spring and summer) is likely due to increased park usage and the consequent need for maintenance and inspections.

5. The decline in Q4 (autumn and early winter) aligns with reduced park activities as the weather gets colder.

HOW TO INTERPRET DATA

The 3-1-1 Call Center plays a key role as a primary channel for public interaction with the park department. The substantial requests from the park department's website underscore the necessity for robust online platforms to manage public reports and inquiries.

1. 3-1-1 Call Center: There is a clear upward trend in service requests from this source, peaking in the later months of the year. This suggests a significant reliance on the call center for reporting issues to the park department.

2. Others & Department of Parks and Recreation - Public Web Site: These sources also show an increase in service requests over the year, with notable peaks, indicating their importance as channels for public reporting.

3. AMPS & DPR - Public Tree Map: These sources have a relatively lower volume of requests but still show fluctuations over the year.

HOW TO INTERPRET DATA

1. Some categories, such as 'Hazard' and 'Illegal Tree Damage,' have a notable number of high-risk incidents. These categories require critical attention due to their potential severity.

2. Prioritization of High-Risk Categories: Categories with a significant number of high-risk incidents should be prioritized for immediate action. This includes ensuring adequate resources and rapid response mechanisms for incidents classified as A and B risk levels.

3. Resource Allocation and Planning: The data highlights the need for a strategic approach to resource allocation. Given the high volume of incidents in lower risk categories, a focus on preventive measures and routine maintenance can help manage these efficiently.

HOW TO INTERPRET DATA

Some categories exhibit distinct seasonal patterns with specific quarterly peaks, such as 'Hazard' and 'Prune,' possibly influenced by weather conditions or operational cycles.

1. Lower risk levels (D and E) tend to have higher incident counts across most categories, suggesting a larger volume of less critical issues.

2. Higher risk levels (A and B) have fewer incidents but represent more critical concerns that may require immediate attention.

HOW TO INTERPRET DATA

The total requests by source and borough provide insights into the dominant sources of service requests in each borough. For instance, in Bronx, the 3-1-1 Call Center is the major source with 6,240 requests, followed by 'Others' with 2,909 requests.

1. Brooklyn and Queens have higher overall service request volumes, suggesting greater public engagement or larger park areas necessitating more maintenance.

2. There appear to be seasonal patterns, with certain months showing peaks in service requests. These patterns might correlate with park usage trends, weather conditions, and operational activities in different boroughs.