lobbyTO

Registration SM23687 · consultant

Dunpar Developments Inc.

Status: closed7 November 2016 to 7 November 2019Source datasetReport an error on this page
Communications
1
1 offices contacted
Lobbyists
1
Linked agenda items
0
Published links only
Linked applications
1
Published links only

Who

Client
Dunpar Developments Inc.
Consultant firm
Bousfields Inc.
Registrant
Peter Smith
Type
consultant
Status
closed
Dates
Approved 7 November 2016; 7 November 2016 to 7 November 2019

Subject matter

  • Planning and Development Application, Zoning By-law

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

Particulars

Rezoning application in support of redevelopment of 4195 Dundas St. W.

Addresses named: 4195 Dundas St W (Ward 3)

Automated summary of the registration text

A rezoning application is registered in support of redevelopment of 4195 Dundas St. W.

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

Lobbyists

Organisations named

Communications

Communications per month

2016-11 to 2016-11

1 communication

How and with whom

By method · 1 meeting

By office holder

Most-contacted offices

  • Ward 5 Etobicoke-LakeshoreMember of council1
Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Ward 5 Etobicoke-LakeshoreMember of council117 November 2016
All communications· 1 row
1 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
7 November 2016Ward 5 Etobicoke-LakeshoreJustin Di Ciano
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