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Spatial Information for Governance: Discovering E-grievance Hotspots with Spatial Autocorrelation to Reveal Causal Factors

Camhol, Armand Nicod-Am (2011) Spatial Information for Governance: Discovering E-grievance Hotspots with Spatial Autocorrelation to Reveal Causal Factors.

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Abstract:Spatial analysis can provide clues for in-situ solution of urban governance problems. Using e-grievance data from Enschede, Netherlands, hotspots were mapped according to type and their clustering across neighbourhoods was observed. Visualization revealed that ethnicity and income strongly correlate with some grievances. Garbage dumping is the problem of low income and mostly non-Western immigrants while greenery maintenance is the concern of middle income Western Europeans in the city outskirts. No problem clustering was observed for the upper middle class. This study shows that the analysis of spatially-referenced information can help decision-makers arrive at better solutions for urban problems. The caveat is that the latter are caused by a combination of macro and micro-level factors and should be dealt with accordingly. Keywords: e-government, e-grievance, ICTs, neighbourhood incivilities, urban governance, spatial analysis
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
Link to this item:https://purl.utwente.nl/essays/92802
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