Abstract
This research designs a new approach by modifying the Fast-Newman algorithm for better implementing the process of detecting functional urban areas (FUAs) and further revealing the spatiotemporal patterns of functional urban polycentricity through 20 view-windows of each FUA in the Tokyo metropolitan area (TMA) by using geo-tagged big data. Through the 20 view-windows of our GIS microscope, it is possible to uncover patterns of functional connections and daily urban rhythms under the same layout of the functional urban structure in the TMA. Furthermore, our findings can elucidate the double-sided thinking by combining the explanations of functional urban polycentricity with the policy effects of the Tokyo Master Plan (TMP) from the perspective of area-byarea analysis across the entire TMA. Our results imply that the functional urban structure of the TMA is a four-level, annular pattern. The TMP still has room for the improvement toward sustainable urban planning in the TMA. Based on the investigation on the patterns of functional urban polycentricity, this research has obtained many hints and clues for improving the TMP. Rethinking the effectiveness of the TMP can also provide trustworthy academic verification and provide suggestions about concrete amendments that can enlighten future urban planning.
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