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Our paper on Understanding urban functionality from POI space has been accepted by The 26th International Conference on Geoinformatics.

Abstract

Urbanization’s rapid progress presents an urgent challenge for developing a predictive, quantitative theory to support the comprehensive understanding of the urban built environment. Among, the intertwined relationship between urban functionality and activity diversity has been widely recognized and quantified in terms of the richness of points of interest (POIs). In this research, we provide a novel methodology for revealing the co-occurrences of POIs within the city and the mechanisms of the interplay between them. We build and study the network of relatedness between POIs, finding that more common POIs are located in a densely connected core whereas more rare and unique POIs occupy a less-connected periphery. We simulate the diffusion process of the network in different subdistrict, finding that common POIs act more on the speed of diffusion, unique POIs act more on the scope of diffusion. This research may help inform stakeholders the proper way of promoting the vitality of the local urban built environment.

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Our paper on Understanding the interplay between bus, metro and cab ridership dynamics in Shenzhen, China has been accepted by Transactions in GIS.

Abstract

The most common mass transit modes in metropolitan cities include buses, subways and taxicabs, each of which contribute to an interconnected complex network that delivers urban dwellers to their destinations. Understanding the intertwined usages of these three transit modes at different places and time allows for better sensing of urban mobility and the built environment. In this article, we leverage a comprehensive data collection of bus, metro and taxi ridership from Shenzhen, China to unveil the spatio-temporal interplay between different mass transit modes. To achieve this goal, we develop a novel spectral clustering framework that imposes spatio-temporal similarities between mass transit mode usage in urban space and differentiates urban spaces associated with distinct ridership patterns of mass transit modes. Five resulting categories of urban spaces are identified and interpreted with auxiliary knowledge of the city’s metro network and land-use functionality. In general, different mass transit modes cooperate or compete based on demographic and socioeconomic attributes of the underlying urban environments. Our proposed analytical framework provides a novel and effective way for exploring the mass transit system and the functional heterogeneity in cities. It demonstrates great potential for assisting policymaker and municipal manager in optimizing public transportation facility allocation and city-wide daily commuting distribution.

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The team attended The 14th Conference on Location Based Services at Zurich, Switzerland.

Abstract

The 14th International Conference on Location Based Services was successfully held by ETH Zurich and the ICA Commission on Location Based Services in Zurich, Switzerland on 15-17 January 2018.

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