Geospatial Analysis and Modeling

Spatial Analysis and Modeling with Big Data

3606.1 - Check-in Behavior and Land Spatiotemporal Vibrancy in Urban China

Monday, July 3
2:50 PM - 3:10 PM
Location: Maryland A

City vibrancy is reflected by human activities and their interactions with spatial entities (Jacobs 1961, 1969). Traditionally, scholars and urban planners measured vibrancy via survey and census data that were time consuming and expensive (Esarey, 2014; Braun & Malizia, 2015; Malizia & Motoyama, 2015; Long, 2016). Social media check-in data can reflect people’s mobility and offer the potential to describe city vibrancy, dynamics and evolution. Our study uses Shenzhen, China as the case study and quantifies city vibrancy using check-in data. We build city vibrancy variation model based on GTWR, measure local spatial and temporal characteristics in the variation process of city vibrancy in the context of land use configuration (Jang & Kang, 2015; Wen & Tao, 2015; Dai, Bai, & Xu, 2016).
Specifically, this study has two contributions. (1) We use social media check-in data as the proxy of vibrancy from the perspective of social sensing (Liu et al.2015). We evaluate the relationship between vibrancy and land use configuration variables considering spatial and temporal nonstationary using GTWR (Figure 1, Figure 2 and Figure 3). The estimated coefficients can be interpreted as “elasticity price “or “semi- elasticity price”. The independent variables contain the number of housing related POI (HPOI), consumption related POI (CPOI), traffic related POI (TPOI) and other POI (OPOI), the Shannon entropy of POI representing mixed degree of POI (SE), distance to CBD (DCBD), distance to town center (DTC) and road density (RD). (2) This article applies Herfindahl-Hirschman index (HHI) to portray and decompose spatial heterogeneity and temporal heterogeneity (Figure 4 and Figure 5). We can identify the human-scale features of urban form using KDE to describe population variation and quantify the varying relationships between vibrancy and city facilities according to estimated parameters of GTWR. This study can be utilized to explore vibrancy and human dynamics relating to ambient environment and can help guiding infrastructure construction and transportation planning. Our results suggest that both POI based configuration and locational variables are associated with vibrancy variation. Targeted policies for specific time and geographic units should be made to improve vibrancy, implement planning of urban morphology and function structure. We expect the results can be used to guide land-use and facilities planning, select appropriate sites for infrastructure service considering people’s demand and optimize traffic environment.

Chao Wu

Doctoral student
School of Resources and Environmental Science, Wuhan University

My name is Chao Wu. I am a PhD student from Wuhan University, China. My major is Cartography and Geographic Information Engineering. My major research direction is analysis and visualisation of spatiotemporal data such as social media and mobile phone data. My topic is Check-in Behavior and Land Spatiotemporal Vibrancy in Urban China.

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Qingyun Du

School of Resources and Environmental Science, Wuhan University

My name is Qingyun Du. I am a professor from Wuhan University, China. My major research direction is geographic information system and digital cartography.

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Send Email for Xiaobai Angela Yao


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3606.1 - Check-in Behavior and Land Spatiotemporal Vibrancy in Urban China



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