Data & Online Appendices

Online Appendices for Wolf, Andrew. 2022. “City Power in the Age of Silicon Valley: Evaluating Municipal Regulatory Response to the Entry of Uber to the American City.City & Community.

Online Appendix 1. Municipal Regulatory Response to TNCs and Driver Protest Data

CityStatePopulationPre-Uber Regulatory EnvironmentRegulatory ResponseDriver ProtestsMonth TNC Entered
New York New York8,622,698MedallionStrongStrong20
Los Angeles California3,999,759MedallionStrongStrong12
Chicago Illinois2,716,450MedallionStrongStrong6
Houston Texas2,312,717RestrictedStrongLobby35
Philadelphia Pennsylvania1,580,863MedallionStrongStrong43
San Antonio Texas1,511,946RestrictedStrongStrong37
San Diego California1,419,516RestrictedWeakStrong15
Dallas Texas1,341,075RestrictedStrongStrong30
San Jose California1,035,317RestrictedWeakNo1
Austin Texas950,715RestrictedStrongStrong38
Jacksonville Florida892,062MedallionStrongNo30
San Francisco California884,363MedallionStrongStrong1
Columbus Ohio879,170RestrictedMediumLobby30
Fort Worth Texas874,168PermitWeakStrong38
Indianapolis Indiana863,002PermitWeakNo29
Charlotte North Carolina859,035PermitWeakNo30
Seattle Washington724,745RestrictedStrongStrong5
Denver Colorado704,621RestrictedWeakStrong30
Washington District of Columbia693,972PermitWeakStrong9
Boston Massachusetts685,094MedallionStrongStrong7
El Paso Texas683,577RestrictedWeakNo39
Detroit Michigan673,104PermitStrongStrong24
Nashville Tennessee667,560RestrictedMediumStrong33
Memphis Tennessee652,236RestrictedStrongLobby37
Portland Oregon647,805RestrictedStrongStrong45
Oklahoma City Oklahoma643,648RestrictedMediumNo31
Las Vegas Nevada641,676MedallionStrongStrong43
Louisville Kentucky621,349PermitWeakNo37
Baltimore Maryland611,648PermitMediumLobby22
Milwaukee Wisconsin595,351RestrictedMediumStrong35
Fresno California527,438RestrictedWeakLobby45
Sacramento California501,901RestrictedWeakNo22
Kansas City Missouri488,943RestrictedStrongLobby38
Atlanta Georgia486,290RestrictedWeakLobby17
Long Beach California469,450RestrictedWeakLobby12
Raleigh North Carolina464,758PermitWeakStrong37
Colorado Springs Colorado464,474RestrictedWeakLobby25
Miami Florida463,347MedallionStrongStrong39
Virginia Beach Virginia450,435RestrictedWeakNo37
Oakland California425,195MedallionWeakNo26
Minneapolis Minnesota422,331RestrictedWeakNo19
Tulsa Oklahoma401,800PermitMediumNo36
Arlington Texas396,394RestrictedWeakStrong30
New Orleans Louisiana393,292MedallionStrongStrong49
Wichita Kansas390,591PermitWeakNo41
Cleveland Ohio385,525PermitMediumNo37
Tampa Florida385,430RestrictedStrongStrong37
Honolulu Hawaii350,395RestrictedStrongLobby29
Corpus Christi Texas325,605PermitStrongNo39
Lexington Kentucky321,959PermitWeakNo39
St. Louis Missouri308,626RestrictedStrongStrong37
St. Paul Minnesota306,621PermitWeakNo19
Cincinnati Ohio301,301RestrictedMediumStrong36
Anchorage Alaska294,356MedallionStrongStrong43
Greensboro North Carolina290,222PermitWeakNo39
Newark New Jersey285,154MedallionStrongStrong32
Orlando Florida280,257PermitStrongLobby39
Toledo Ohio276,491PermitWeakNo37
Jersey City New Jersey270,753MedallionWeakNo32
Durham North Carolina267,743PermitWeakNo38
St. Petersburg Florida263,255PermitMediumLobby37
Laredo Texas260,654PermitStrongNo72
Buffalo New York258,612PermitWeakNo37
Madison Wisconsin255,214RestrictedStrongLobby36
Lubbock Texas253,888PermitMediumLobby39
Norfolk Virginia244,703PermitWeakNo37
Winston-Salem North Carolina244,605PermitWeakNo39
Boise Idaho226,570PermitMediumNo43
Baton Rouge Louisiana225,374PermitWeakLobby40
Des Moines Iowa217,521RestrictedWeakNo42
Spokane Washington217,108PermitMediumLobby37
Tacoma Washington213,418PermitMediumNo37
Birmingham Alabama210,710PermitMediumNo57
Fayetteville North Carolina209,889PermitWeakNo39
Rochester New York208,046PermitMediumStrong37
Salt Lake City Utah200,544PermitMediumNo37
Amarillo Texas199,826PermitWeakNo40
Montgomery Alabama199,518PermitWeakNo58

Online Appendix 2. OLS Model Specification

Online Appendix 3. Predicted Probabilities for Select Variables of Their Impact on Cities’ Likelihood of Taking a Strong Regulatory Response (Response = 3) to TNCs for all Models.

City Ideology

Protest

Taxi Jobs Per 1,000

Pre-Uber Environment

Months from Uber Launch