M Motionworks Population Intelligence

Placecast™ Validation

Place Validation Report

Report Contents

The report provides context about the measurement process it went through for the latest data release, as well as that same context for the most recent prior release. There are eight discrete validation checks that are used to create a confidence index score. These checks are described in the Schema below.

Confidence Index

Confidence in the data for a place is based on both the input data for the place and the output results for the place.

For input data, the score is primarily effected by the place's audit status, and if it is a focused place or an unfocused place. For output data the score is primarily effected by how the place performs in comparison to its peer group of places.

5 - Excellent Confidence

  • Focused place is audit status 4 or 5, and passes 9 validation checks.
  • Unfocused place passes is audit status 3, 4 ,5, 12, or 67 and passes all 9 validation checks

4 - Very Good Confidence

  • Focused place is audit status 4 or 5, and passes a minimum of 7 validation checks.
  • Focused place is audit status 3, 12, or 67, and passes 9 validation checks.
  • Unfocused place is audit status 3, 4 ,5, 12, or 67 and passes a minimum of 5 validation checks

3 - Good Confidence

  • Focused place is audit status 4 or 5, and passes a minimum of 5 validation checks.
  • Focused place is audit status 3, 12, or 67, and passes a minimum of 7 validation checks.
  • Unfocused place is audit status 3, 4 ,5, 12, or 67 and passes a minimum of 3 validation checks

2 - Fair Confidence

  • Focused or Unfocused place is audit status 3, 4, 5, 12, or 67 and passes a minimum of 1 validation check.

1 - Poor Confidence

  • Place is audit status is 1, 2, 7, 9, 14
  • Focused or Unfocused place passes 0 validation checks.

Data Dimensions

  • Frequency Published Monthly.
  • Geographic coverage Summarizes validation metrics for all Motionworks places available to a customer.
  • Date availability Data is updated with every monthly release. Fields that reference the previous release refer to the most recent prior release of the Placecast Data.

Schema

Name Description Type Example
place_id Unique and persistent identifier of this place or region defined by a data collection polygon (also sometimes called point or place of interest). Integer 275640
current_release_id Identifier of the current release. String 20240201_placecast_v22
previous_release_id Identifier of the most recent prior release. String 20240101_placecast_v22
current_place_process The measurement process that was used to create the measurement data for this place. String placed_v22
previous_place_process The measurement process that was used to create the measurement data for this place in the most recent prior release. String placed_unfocused
current_place_pool The identifier of the place pool, or group of peer places that was used during the creation of measurement data for this place. String DMA501_bars
previous_place_pool The identifier of the place pool, or group of peer places that was used during the creation of measurement data for this place in the most recent prior release. String bars
current_places_in_place_pool The number of other places that fall into the place pool. Integer 3,571
previous_places_in_place_pool The number of other places that fall into the place pool in the most recent prior release. Integer 2,992
current_score The 1-5 score generated for this place from the 8 discrete validation checks performed. Integer 4
previous_score The 1-5 score generated for this place from the 8 discrete validation checks performed in the most recent prior release. Integer 2
current_passed_checks The number of discrete validation checks that the place record passed. Integer 6
previous_passed_checks The number of discrete validation checks that the place record passed in the most recent prior release. Integer 3
current_avg_visits_sqft_check Pass or fail that the output of the monthly average of visits per square foot of the place record is within +/- 1 standard deviation of the the places in the place pool. Boolean TRUE
previous_avg_visits_sqft_check Pass or fail that the output of the monthly average of visits per square foot of the place record is within +/- 1 standard deviation of the the places in the place pool in the most recent prior release. Boolean FALSE
current_avg_dwell_check Pass or fail that the output of the monthly average dwell time of the place record is within +/- 1 standard deviation of the the places in the place pool. Boolean TRUE
previous_avg_dwell_check Pass or fail that the output of the monthly average dwell time of the place record is within +/- 1 standard deviation of the the places in the place pool in the most recent prior release. Boolean FALSE
current_time_of_day_visits_check Pass or fail that the output of the time of day and day of week visitation profiles are similar to the places in the place pool. Boolean TRUE
previous_time_of_day_visits_check Pass or fail that the output of the time of day and day of week visitation profiles are similar to the places in the place pool in the most recent prior release. Boolean FALSE
current_overall_travel_distance_check Pass or fail that the output of the average distance from the place location to visitors home is within +/- 1 standard deviation of the the places in the place pool. Boolean TRUE
previous_overall_travel_distance_check Pass or fail that the output of the average distance from the place location to visitors home is within +/- 1 standard deviation of the the places in the place pool in the most recent prior release. Boolean FALSE
current_visits_trend_check Pass or fail that the output of the visitation has not declined over 50% year over year. Boolean TRUE
previous_visits_trend_check Pass or fail that the output of the visitation has not declined over 50% year over year in the most recent prior release. Boolean FALSE
current_sqft_check Pass or fail that the input of the place shape is less than the 98th percentile for the place type. Boolean TRUE
previous_sqft_check Pass or fail that the input of the place shape is less than the 98th percentile for the place type in the most recent prior release. Boolean FALSE
current_polygon_check Pass or fail that the input of the place's shape compactness ratio is reasonable. Boolean TRUE
previous_polygon_check Pass or fail that the input of the place's shape compactness ratio is reasonable in the most recent prior release. Boolean FALSE
current_hours_check Pass or fail that the input of the time of day and day of week open hours are similar to peer places. Boolean TRUE
previous_hours_check Pass or fail that the input of the time of day and day of week open hours are similar to peer places in the most recent prior release. Boolean FALSE
current_place_type_check Pass or fail that the input of the place type label matching to third party POI data is reasonable. Boolean TRUE
previous_place_type_check Pass or fail that the input of the place type label matching to third party POI data is reasonable in the most recent prior release. Boolean FALSE

First Party Data Validation Report

This report provides a view of any first party data that is used in creating the Motionworks measurement in Placecast

Data Dimensions

  • Frequency Published Monthly.
  • Geographic coverage Summarizes first party data that is used for any Motionworks place .
  • Date availability Data is updated with every monthly release where first party data is used.

Schema

Name Description Type Example
place_id Unique and persistent identifier of this place or region defined by a data collection polygon (also sometimes called point or place of interest). Integer 275640
YYYYMM Year and Month that the first party data is applicable to for this place String 202402
data_source The name of the data source of the first party data String turnstile counts
data_source_type The type of data being reported for the first party data String data.mta.nyc
data_source_monthly_value The first party data normalized to motionworks visits String 7,452