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Spatial-Temporal Effect of Household Solid Waste on Illegal Dumping
Illegal dumping is an increasingly costly problem with profoundly negative consequences for the livability and sustainability of our communities. The problem of illegal dumping is particularly acute in the developing world. While the literature is rich in descriptive studies on illegal dumping, few studies leverage large-scale spatial-temporal data through innovative analytical tools to study the actual dynamics of household illegal waste dumping. Our study aims to fill this gap by developing a multilevel theoretical model with which to illustrate the impact of illegal dumping. We explore the spatial-temporal distribution of illegal dumping cases using data mining. Next, we integrate datasets reflecting different levels into a hierarchical data structure organized by membership function. We then use a hierarchical generalized linear model to validate our multilevel model. The results indicate that the spatial factors have a significant relationship with illegal dumping, whereas the direct influence of temporal and community-level factors on illegal dumping is insignificant. Furthermore, the moderating effect of management level and public order on the relationship between spatial features and illegal dumping is significant. Based on our results, we offer several suggestions for preventing illegal dumping.
Looking forward to delivering a plenary talk at 2019 PUBSIC Conference in Milan, Italy on Jan 25, 2019.
ICMA Press Release (October 23, 2018) - "ICMA has selected its inaugural group of research fellows, recognizing outstanding action-oriented research approaches to deal with local governments’ most pressing issues. Fellowships will fund four thought leaders to study topics ranging from equity measures for managing urban performance to developing successful innovation training programs for local officials, adding to ICMA’s vast knowledge base of research and leading practices in local government leadership and management. "
To read the full press release is available here.
An article I co-authored with Gregory S. Dawson (Arizona State University) and James S. Denford (Royal Military College of Canada) appears in the current issue of the Cutter Business Technology Journal.
We focus our article on a fundamental organizational question: in a medium-to-large organization, should data governance be centralized or decentralized (or, possibly, federated)? There are pros and cons for both centralization and decentralization. The overall business strategy needs to be considered: in some conglomerates of disparate business lines, there may be little commonality to the information being managed by the various divisions. However, decentralization still causes duplication of effort and risks inconsistencies across the enterprise. The authors give concrete examples that link the IT governance modality — centralized or decentralized — with performance outcomes. They generally favor a centralized model and provide the reader with specific recommendations on how to centralize data governance in organizations and how to implement this model successfully.
The article is available here.