Reduction of Parking Spaces in New Housing Projects Near Public Transport Stations
Sector: Residential • Location: Serdang, Malaysia
Source: The Edge Malaysia
The proposal urges housing developers to reduce the number of parking spaces in new residential projects developed near public transport stations such as LRT or MRT. This initiative aims to encourage residents to use public transport, reduce property prices, and support a long-term shift towards a lifestyle dependent on public transportation. The proposal has been submitted to the Housing and Loca
Project Information FAQ
Project Information
Want to explore the full details? View the full report
Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | proposed |
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 proposal urges housing developers to reduce the number of parking spaces in new residential projects developed near public transport stations such as LRT or MRT. This initiative aims to encourage residents to use public transport, reduce property prices, and support a long-term shift towards a lifestyle dependent on public transportation. The proposal has been submitted to the Housing and Local Government Ministry (KPKT) in Malaysia. |
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 |
