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Increasingly, nations are engaging in smart city development projects. Smart city development aims to build urban areas with a wholesome quality of life with modern infrastructure capabilities (e.g., economic opportunities, cultural richness, and demographic-geographical balance), technological benefits (e.g., healthcare, education, government) and sustainability goals (e.g., clean, green, safe, and secure environments). This requires huge investments of resources and participation of diverse stakeholders, whose goals are often ambiguous and conflicting. It is not unusual that many of these projects are delayed because of a lack of consensus, which further adds unnecessary social costs and a waste of time and efforts. In this sense, determining strategic priorities for smart city development is crucial for achieving a set of integrative purposes in terms of resource allocation and social benefits goals. This paper aims to determine strategic priorities by examining multiple cases of smart city projects in Korea, Europe, and the U.S. A hierarchical strategic framework, which shows the vision, core values and strategic goals, is developed and proposed from the case studies. Lessons and practical implications are discussed for future study.

This study models the effect of climate change on runoff in southeast Korea using the TANK conceptual rainfall-runoff model. The results are assessed using the indicators of hydrological alteration (IHA) developed by U.S. Nature Conservancy. Future climate time series are obtained by scaling historical series, provided by four global climate models (GCMs, IPCC, 2007) and three greenhouse gas (GHG) emissions scenarios (IPCC, 2000), to reflect a maximum increase of 3.6 °C in the average surface air temperature and 33% in the annual precipitation. To this end, the spatio-temporal change factor method is used, which considers changes in the future mean seasonal rainfall and potential evapotranspiration as well as the daily rainfall distribution. In this study, the variance range for precipitation is from +3.55% to +33.44% compared to the present for years between 2071 and 2100. The variance range for the daily mean temperature is estimated between +1.59 °C and +3.58 °C. Although the simulation results from different GCMs and GHG emissions scenarios indicate different responses of the flows to the climate change, the majority of modeling results show that there will be more runoff in southeast Korea in the future. According to the analysis results, the predicted impacts of hydrological alteration caused by climate change on the aquatic ecosystem are as follows: 1) an increase in the availability of aquatic ecosystem habitats in Nakdong River in future summers and winters, 2) an increase in stress on the aquatic ecosystem due to extremely high stream flow, 3) an increase in the stress duration of flood events for the Nakdong River downstream and 4) an increase in aquatic ecosystem stress caused by rapid increases or decreases in stream flow.