\n<\/p>\n
The simulation also accounts for differences in driver behaviour \u2013 some motorists may prefer fast chargers to quickly continue their journeys, while others may opt for slower chargers near their homes and charge overnight.\u00a0<\/p>\n
Rather than relying on current petrol station usage patterns, the model simulates how drivers are likely to adapt to different charging options and locations.\u00a0<\/p>\n
\u201cThis allows agencies \u2026 to model scenarios that are of interest, test their plans and see how well they’ll work (so as) to predict in a more realistic way what charging demand is going to look like,\u201d Dr Farber said.\u00a0<\/p>\n
He added that future versions of the simulation could help urban planners evaluate different township and neighbourhood designs before they are built, allowing them to anticipate future energy demand and determine what infrastructure upgrades may be needed.\u00a0<\/p>\n
The use of geospatial technologies extends far beyond transport and energy planning.\u00a0<\/p>\n
The National University of Singapore (NUS) will be launching a new geospatial intelligence major in August under its Bachelor of Science Cross-Disciplinary Programme to prepare students for careers at the intersection of geography, data science and computing. \u00a0<\/p>\n
\u201cGeospatial intelligence is mainly for extracting actionable insights so (we) could address real-world problems,\u201d said Associate Professor Feng Chen-Chieh, programme director for geospatial intelligence at NUS’ Department of Geography.\u00a0<\/p>\n
Applications range from improving access to amenities and green spaces to planning underground infrastructure and designing more liveable neighbourhoods.\u00a0<\/p>\n
For example, satellite imagery and geospatial AI can be used to identify urban heat hotspots. Policymakers can then use those insights to develop measures that reduce the urban heat island effect in densely built-up areas.\u00a0<\/p>\n
\u201cThe common applications, especially for Singapore, are about (creating) a sustainable and liveable city,\u201d Assoc Prof Feng said.\u00a0<\/p>\n
\u201cIt could be an application related to accessibility \u2013 within 15 minutes (whether people can easily) access clinics or parks \u2026 basically satisfy everyday needs.\u201d\u00a0<\/p>\n
Geospatial intelligence is also increasingly being used to create digital representations of both above-ground and underground environments, he said.\u00a0<\/p>\n
These digital models can be combined with human behavioural data to help planners understand how people use spaces and how future developments can be designed more efficiently.\u00a0<\/p>\n
The adoption of geospatial technologies is also driving demand for workers with expertise in both spatial analysis and computing.<\/p>\n
According to Assoc Prof Feng, student interest in geospatial-related courses has risen by 25 per cent over the past two years across different faculties such as law and business.\u00a0<\/p>\n
NUS expects an inaugural cohort of about 30 students for the new programme, with plans to double enrolment over the next four years.\u00a0<\/p>\n
Graduates could find opportunities in fields such as urban planning, environmental science, public health and business analytics, where location-based intelligence is becoming increasingly important, said Assoc Prof Feng.\u00a0<\/p>\n
\u201cIt’s not going to be just spatial or just computing; they need the combination of the two, so that you can generate the insights correctly,\u201d he said.\u00a0<\/p>\n
As Singapore continues to build higher and deeper, geospatial intelligence is emerging as a critical tool for understanding how people, infrastructure and resources interact.\u00a0<\/p>\n
Observers said the planners and data specialists trained today could play a key role in shaping a future city that is not only more efficient, but also more liveable.<\/p>\n<\/div>\n
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