ITEM: SCAG Events and Games Pedestrian Safety Program
Sector: Government • Location: Los Angeles, California, United States of America
Source: Dodge USA
The Southern California Association of Governments may be seeking a consultant to used by the Southern California Association of Governments to improve pedestrian safety in areas that are impacted by large events, including the 2026 World Cup and 2028 Olympic and Paralympic Games, in a manner that prioritizes the regional High Injury Network (HIN); demonstrates the value and efficiency of semi-per
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | request for proposals |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The Southern California Association of Governments may be seeking a consultant to used by the Southern California Association of Governments to improve pedestrian safety in areas that are impacted by large events, including the 2026 World Cup and 2028 Olympic and Paralympic Games, in a manner that prioritizes the regional High Injury Network (HIN); demonstrates the value and efficiency of semi-permanent infrastructure in managing pedestrian surges and reimagining streets; and informs SCAG s R... |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
