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Methodological Benchmark: 'Philadelphia After Dark' (ESI & City of Philadelphia, June 2025)
How Econsult Solutions, Inc. (ESI) and Prof. Michael Fichman (Penn Weitzman) constructed the 50-NAICS, 5-sector nighttime coefficient methodology for Philadelphia ($26.1B city impact, 132,000 total FTEs), and how the CVL Nighttime Economy Platform replicates and extends it across public federal datasets.
Why This Study Is the CVL Platform's Primary Methodological Benchmark
Published on June 6, 2025 by the City of Philadelphia Department of Commerce and Econsult Solutions, Inc. (ESI) in collaboration with Prof. Michael Fichman (University of Pennsylvania Weitzman School of Design), Philadelphia After Dark: Key Drivers and Trends in the Nighttime Economy is the most rigorous recent municipal nighttime economy impact study in the United States.
The CVL Nighttime Economy Platform uses Philadelphia After Dark Appendix Figure A.1 (docs/reference/esi_philadelphia_2025_naics_coefficients.csv) as its Phase 1 & Phase 2 engine replication benchmark (docs/reference/replication_philadelphia_2022.md).
The Three-Method Coefficient Architecture (Methods A, B, and C)
ESI defined the nighttime economy as economic activity occurring between 6:00 p.m. and 6:00 a.m. across 50 NAICS industries grouped into five sectors:
- Arts & Culture (
5 NAICS rows: Performing Arts7111[0.74], Promoters7113[0.15], Art Dealers459920[0.06], Movie Theaters512131[0.70], Independent Artists711510[0.39]) - Essential Services (
16 NAICS rows: Hospitals622110[0.19], Urban Transit4851[0.32], Police922120[0.31], Fire922160[0.31], Ambulance621910[0.42], Taxi/Rideshare485310[0.26], Supermarkets44511[0.23], Convenience Stores445131[0.33], Electric Power2211[0.23], Waste Collection5621[0.20]) - Food, Beverage & Hospitality (
9 NAICS rows: Drinking Places722410[0.79], Full-Service Restaurants722511[0.70], Limited-Service Restaurants722513[0.36], Buffets722514[0.33], Caterers722320[0.25], Mobile Food722330[0.25], Snack Bars722515[0.23], Food Contractors722310[0.17], Hotels721110[0.16]) - Night Shift Industries (
15 NAICS rows: General/Specialized Freight Trucking4841/4842[0.35], Transportation & Warehousing48-49[0.32], Security Services5616[0.25], Janitorial561720[0.20], Manufacturing31-33[0.12], Colleges & Universities611310[0.10], Construction23[0.05], Commercial Banking522110[0.04], R&D54171[0.03]) - Sports & Recreation (
5 NAICS rows: Spectator Sports7112[0.81], Fitness Centers713940[0.43], Amusement Parks7131[0.27], Gambling7132[0.27], Bowling Centers713950[0.19])
To estimate each industry's nighttime share (0.03 to 0.81), ESI combined:
- Method A (
Employee Survey Method): IPUMS American Time Use Survey (ATUS) work-diary schedules and ACS PUMS worker arrival-time microdata (JWTRNS/JWAP). - Method B (
Sampling Method): Posted operating hours and event start times for venues, galleries, theaters, and retail stores. - Method C (
Industry Data Method): Sector-specific administrative and industry reports.
How CVL Replicates & Extends the ESI Engine
As documented in docs/reference/replication_philadelphia_2022.md:
- In Food, Beverage & Hospitality (a private wage-and-salary sector without single-employer QCEW suppression), multiplying public BLS QCEW 2022 employment by ESI's coefficients yields 25,172 nighttime jobs vs. ESI's published 25,700 jobs (within 2.1%).
- Where public QCEW alone falls short of ESI's IMPLAN base is in two specific areas that CVL explicitly solves in
etl/nte_etl/sizing/: - Nonemployer / Self-Employed Workers (
Census NES): Independent artists (711510), promoters (7113), and rideshare drivers (485310), which CVL adds in a separateworker_type = 'nonemployer'row so W-2 and 1099 jobs are never conflated. - Single-Employer Government QCEW Suppression (
SEPTA 4851,Police 922120,Fire 922160): Imputed in CVL via CBP + ACS PUMS public-administration/transit microdata when QCEW suppresses a cell.