Abstract
This quantitative correlational study intends to investigate the spatiotemporal relationship between rainfall and taxi supply in Singapore. Over the period of 4 months, coordinates of all available taxis in Singapore, as well as rain value data from 66 weather stations located around the island, were collected every minute from public Application Programming Interfaces (API). Singapore was divided into a grid of 3km by 2km rectangles, with each region minutely assigned a taxi supply count and a rain value weighted based on distance to the weather station. To obtain groups where taxis behaved similarly, the data on weekends and weekdays were separated, then divided spatially and temporally. A non-linear correlation coefficient was calculated for each category. It was hypothesized that rainfall notably reduces taxi supply in most regions, an effect most pronounced in the evening rush hours (18:00 – 21:00) on all days of the week. The results do not fully validate this hypothesis, displaying that though taxi supply levels were generally decreased in situations with rainfall, they could likewise reach low levels in scenarios without.
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