lobbyTO

Registration SM25598 · consultant

Larry Li

Status: closed29 January 2018 to 22 August 2018Source datasetReport an error on this page
Communications
1
1 offices contacted
Lobbyists
1
Linked agenda items
0
Published links only
Linked applications
3
Published links only

Who

Client
Larry Li
Consultant firm
Johnston Litavski Ltd.
Registrant
Adrian Litavski
Type
consultant
Status
closed
Dates
Approved 30 January 2018; 29 January 2018 to 22 August 2018

Subject matter

  • Planning and Development Application, Minor Variance
  • Planning and Development Application, Consent to Sever

Source: City of Toronto Lobbyist Registry (open data). Dataset page.

Particulars

66 Corning Rd proposal to sever and minor variance application.

Addresses named: 66 Corning Rd (Ward 17)

Automated summary of the registration text

Registered, communicating about 66 Corning Rd proposal to sever and minor variance application.

Generated from the registration text only. Read the particulars for the registrant's own words.

Lobbyists

Organisations named

Communications

Communications per month

2018-01 to 2018-01

1 communication

How and with whom

By method · 1 meeting

By office holder

Most-contacted offices

  • Ward 33 Don Valley EastMember of council1
Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Ward 33 Don Valley EastMember of council1129 January 2018
All communications· 1 row
1 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
29 January 2018Ward 33 Don Valley EastShelley Carroll
Member of council
—Meeting—

"Member's office" is the member of council whose office was contacted (the member or their staff), resolved from the office holder name and office recorded in the registry.

Linked agenda items

No published links to agenda items.

Linked development applications

These links are inferred by lobbyTO from file numbers and addresses named in the registration (task L2); the registry does not record which application a registration concerns.

Links between records are inferred by a model and are not reviewed by a person. Each link shows its score out of 1; moderate-confidence links (0.7 to 0.9) are wrong more often than high-confidence links. How links are scored