Spatial Social Networks
Is Your Neighbor Your Friend? Scan Methods for Spatial Social Network (SSN) Hotspot Detection
How do you find clusters of incidents/individuals that are not only geographically close to each other, but also have dense local social connections?
A R Online Tutorial for Visualizing Spatial Social Networks
Designed for social scientists, geographers, and planners to visualize spatial social networks in R. The tutorial comes with a R package that embed advanced functions and sample datasets.
Quantify the social impact of demolishing a historic street for a new metro station: evidence from participatory GIS survey in Guangzhou, China
While a new metro station enhances transit connetivity in the metro network, its construction plans to demolish a historic neighborhood in Guangzhou China. How can we quantify the social cost of the station in terms of loss in social connections and memories?
Critical connectivity around Atlanta Airport: agent-based modeling to evaluate PRT scenarios for nearby residents
Airport as a regional transportation hub tends to overshadow the surrounding neighborhoods. When a new PRT infrastructure is proposed for ‘Airport City’, how can planners propose and evaluate design scenarios that will benefit the nearby residents?
Demographic characteristics of locals and jetsetters: A study of extensibility using the Neighborhood Connectivity Survey
What are the demographic characteristics of people who are locals vs. jetsetters? How may these people different in local social support, ability to leverage social networks for disaster evacuation, and frequency to travel or migrate between cities?
The heterogenous impact of COVID-19 pandemic on global scientific collaboration
How has COVID-19 pandemic impacted international scientific collaboration? Which disciplines or which countries suffer more? Do developing countries leverage COVID-19 to grow their research influence in the scientific networks?
Untangling population and connectivity in city outcome
We know cities scale with populaton in a systematic fashion, but how much of (and what kinds of) the city outcomes (e.g., GDP, innovation) can be explained by population and how much can be explained by inter-city connectivity?
A review of spatial network insights and methods in the context of planning: Applications, challenges, and opportunities
How have research knowledge of spatial network insights and methods been applied to study cities and planning? What are some of the challenges and opportunities, especially in collaborative planning?