Sustainable Development Goals of Mapúa University

Sustainable Development Goals of Mapúa University

Sustainable Development Goals of Mapúa University

To help reduce CO2 emissions in the environment, Mapua University adopted the following transportation policies:

  1. No Idling Inside the Campus. Engine of all vehicles shall be put off when parking inside the school campus.
  2. External Transport Services. Only transport service companies that have green policies/initiatives shall be hired by the university.
  3. Car Age Limit. No vehicles owned and operated by Mapúa University shall be over 15 years old. All vehicles shall truly pass the emission test.


Mapúa provided transportation fleet for SOCIP/NSTP activities during community outreach activities as part of the sustainability program. This is to reduce the number of students who bring vehicles which reduces the total energy consumption and emission for the day. Moreover, the transportation fleet is also used by employees attending official business trips under the Service Vehicle Control policy.

The transportation policy program of the University is also applied into a research and development activities! According to Dr. Francis Aldrine A. Uy, they have an upcoming project with fund from the CHED – PCARI program. The project title is “Data Analytics for Research and Education (DARE)” which is a transportation-based data analytics platform that will simultaneously optimize both long-term, large-scale transportation behavioral change and short term network as well as vehicle in-use change to maximize energy savings. The platform will function as a planning and operation simulation tool that can use large-scale mobile data, among other sources, for traffic estimation, forecast and optimization. This project is a collaboration between Mapua, UP NIP, UP NCPAG and UC Berkeley, USA.

Further to the project description of Dr. Uy, Program DARE is split into three projects focusing on: a) the aspects of advanced next generation transportation modeling, traffic engineering, simulation, field measurements and calibration (PH Project 1 leader: F. Uy); b) data analytics algorithms and tools (PH Project 2 leader: M. Lim); and c) the public administration viewpoint of setting, measuring, and understanding performance indicators relevant to the Philippine setting that can be synthesized from the computational backends (PH Project 3 leader: N.C. Tiglao).