Financing Public Transit Systems In Kuala Lumpur: Challenges And Prospects
Amin Tamale Kiggundu(1*)
(1) 
(*) Corresponding Author
Abstract
Prioritizing public tramjport in large cities requires huge amount of money.
In Kuala Lumpur for example, public transport services are relatively poor and inefficient due in part to the inability by the major operators to mobilize ample investment capital. Besides, the new funding systems such as the Public Transportation Trust Fund (PTTF) may not be able to solve the problem because they are still unclear and incoherent. Other key challenges are: lack of a pro-transit policy. rapid motorization. urban decentralization as well as dependence on fare
revenue and banks to fund new investments. CrucianF. due to the poor design of private rail concessions, government intervention has been inevitable.
In Kuala Lumpur for example, public transport services are relatively poor and inefficient due in part to the inability by the major operators to mobilize ample investment capital. Besides, the new funding systems such as the Public Transportation Trust Fund (PTTF) may not be able to solve the problem because they are still unclear and incoherent. Other key challenges are: lack of a pro-transit policy. rapid motorization. urban decentralization as well as dependence on fare
revenue and banks to fund new investments. CrucianF. due to the poor design of private rail concessions, government intervention has been inevitable.
Keywords
large cities, public transit, Kuala Lumpur, funding
DOI: https://doi.org/10.22146/ijg.2247
Article Metrics
Abstract views : 1151Refbacks
- There are currently no refbacks.
Copyright (c) 1970 Indonesian Journal of Geography
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)
ISSN 2354-9114 (online), ISSN 0024-9521 (print)
IJG STATISTIC