A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Mapping synergies and trade-offs between smart city dimensions: A network analysis
Abstract Smart cities have emerged to cope with economic and environmental challenges posed by modern-day complex city systems. This study hypothesized that overcoming such challenges with a smart city framework entails a systematic approach to increasing synergies and eliminating trade-offs between different smart city indicators. This study applied network analysis and used data from 33 smart cities worldwide for the period 2005–2019 to ascertain these synergies and trade-offs by introducing a modified framework of smart cities based on the community identification of interconnected smart city drivers. The findings of this study reveal that very few trade-offs exist in the network of smart city indicators compared to the identified synergies. Furthermore, the network statistics show that innovation, business sophistication, ICT infrastructure, and government effectiveness are key drivers of a smart city.
Highlights The study examins the interrelationships among the indicators of the smart city, including the potential negative externalities of its implementation. This study applied network analysis using data from 33 smart cities worldwide for the period 2005–2019. Previous research black-boxes the transmission mechanism between policy and outcomes. Identifying the interlinkages can assist policymakers in strategically prioritizing drivers to achieve the intended outcome. Innovation, business sophistication, ICT infrastructure, and government effectiveness are key drivers of a smart city.
Mapping synergies and trade-offs between smart city dimensions: A network analysis
Abstract Smart cities have emerged to cope with economic and environmental challenges posed by modern-day complex city systems. This study hypothesized that overcoming such challenges with a smart city framework entails a systematic approach to increasing synergies and eliminating trade-offs between different smart city indicators. This study applied network analysis and used data from 33 smart cities worldwide for the period 2005–2019 to ascertain these synergies and trade-offs by introducing a modified framework of smart cities based on the community identification of interconnected smart city drivers. The findings of this study reveal that very few trade-offs exist in the network of smart city indicators compared to the identified synergies. Furthermore, the network statistics show that innovation, business sophistication, ICT infrastructure, and government effectiveness are key drivers of a smart city.
Highlights The study examins the interrelationships among the indicators of the smart city, including the potential negative externalities of its implementation. This study applied network analysis using data from 33 smart cities worldwide for the period 2005–2019. Previous research black-boxes the transmission mechanism between policy and outcomes. Identifying the interlinkages can assist policymakers in strategically prioritizing drivers to achieve the intended outcome. Innovation, business sophistication, ICT infrastructure, and government effectiveness are key drivers of a smart city.
Mapping synergies and trade-offs between smart city dimensions: A network analysis
Vanli, Tara (author) / Akan, Taner (author)
Cities ; 142
2023-08-07
Article (Journal)
Electronic Resource
English
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