24. The financial and technical costs of PLANET amount to over USD$12 million. Payment was made in stages, after goods and services rendered in accordance to the LTA Financial Procedures Manual. The bulk of human resource costs can be attributed to the time and effort taken by the various users and stakeholders to identify their user requirements during the design, development and testing stages of the project.
25. PLANET achieved 67% and 99% improvement over traditional methods in the processing of daily data information and running business queries respectively. Apart from the technical benefits of improved turnaround time, PLANET has also enabled swifter Policy and Planning Decisions and yielded financial cost savings, as well as productivity gains for LTA.
26. With PLANET, we estimate an annual saving of 19% compared to the old data and reporting systems. Over 10 years, PLANET will avoid S$30 million in costs for enhancing and maintaining the legacy data warehouse. Based on conservative estimates, there is a projected cost avoidance of S$20 million over 10 years from productivity gains of at least 15% reduction in manpower required for preparation of reports.
27. Comprehensive information for the analysis of historical performance, travelling behaviour of commuters is now available at the fingertips, and hence speeding the access of such information greatly. Staff can be more effective in carrying out regulatory audits, operational monitoring, and review of existing policies and formulation of new policies or measures to better address the needs of land transport users. Moreover, in-depth research studies are being conducted using data mining techniques to look into the correlation analysis, factor analysis and descriptive statistics. The implementation of PLANET has unlocked the intrinsic value of data to perform:
I. Strategic Analysis: In order to understand the impact of making transport network changes, it is important to know information about the whole journey, starting from the first station or bus stop, to the eventual destination. Such information will reflect the various dimensions of distance, time, speed, and fares for the train and bus passengers. Ridership and passenger-km travelled on public transport will also provide the insight on the relative importance of the train and bus network.
II. Locale Analysis: As planners and designers of land transport network, information on the number of boarding, alighting, transfer volumes are keys to evaluating the level of provision of commuter facilities, such as size of bus shelters, passageway widths for transfer points and location of passenger service-counters at high volume areas. Bus Hubs, key transfer nodes, are designed based on bus throughput and passenger boarding rate. Post analysis could also be performed on specific part of the transport system.
III. Operational Performance: Performance characteristics of the train and bus network, such as passenger loading, route running time, headway etc allow planners to determine the level of efficiency and whether there is a need to adjust the level of resources deployed.