Entrepreneurial urbanism and technological panacea: Why Smart City planning needs to go beyond corporate visioning?

2018 ◽  
Vol 137 ◽  
pp. 330-339 ◽  
Author(s):  
Rama Krishna Reddy Kummitha
Keyword(s):  
Smart City ◽  
City Planning ◽  
Entrepreneurial Urbanism

Re-thinking “Smart City” – transferring urban climate research into city planning processes

2021 ◽  
Author(s):  
Joachim Fallmann ◽  
Hans Schipper ◽  
Stefan Emeis ◽  
Marc Barra ◽  
Holger Tost
Keyword(s):  
Climate Change ◽  
Smart City ◽  
Urban Areas ◽  
City Planning ◽  
Transport Model ◽  
Urban Climate ◽  
Metropolitan Region ◽  
Air Pollution Control ◽  
Urban Greening ◽  
Holistic Understanding

<p>With more and more people residing in cities globally, urban areas are particularly vulnerable to climate change. It is therefore important, that the principles of climate-resilient city planning are reflected in the planning phase already. A discussion of adaptation measures requires a holistic understanding of the complex urban environment, and necessarily has to involve cross-scale interactions, both spatially and temporally. This work examines the term “Smart City” with regard to its suitability for the definition of sustainable urban planning based on urban climate studies over the past decade and own modelling work. Existing literature is assessed from a meteorological perspective in order to answer the question how results from these studies can be linked to architectural design of future urban areas. It has been long understood that measures such as urban greening, or so-called "Nature Based Solutions", are able to dampen excess heat and help reducing energetic costs. As numerous studies show however, integrating vegetation in the urban landscape shares a double role in regional adaptation to climate change due to both cooling effect and air pollution control. Using the state-of-the-art chemical transport model MECO(n) coupled to the urban canopy parametrisation TERRA_URB, we simulated a case study for the Rhine-Main metropolitan region in Germany, highlighting mutual unwanted relationships in modern city planning. Hence, we oppose the so-called compact city approach to an urban greening scenario with regard to the potential for both heat island mitigation and air quality.</p>

Human-Oriented Smart City Planning and Management Based on Time-Space Behavior

2019 ◽  
Vol 44 (3) ◽  
pp. 80-83
Author(s):  
Mingliang Feng
Keyword(s):  
Public Participation ◽  
Smart City ◽  
City Planning ◽  
Construction Planning ◽  
Public Interests ◽  
Safeguard Measures ◽  
Planning And Management ◽  
Time Space ◽  
Democratic Rights ◽  
City Construction

To improve the quality of life, human-oriented smart city planning and management based on time-space behavior was studied. First, the basic theory of time-space behavior and smart city was introduced. The relationship between public participation and smart city construction planning was analyzed, and the positive and negative significance of public participation in smart city construction planning was expounded. Then, the mechanism for public participation in smart city construction planning was proposed. Finally, public participation in smart city construction planning was analyzed from the perspectives of power balance, interest coordination and safeguard measures. The results showed that public participation in smart city construction planning was an important manifestation of the realization of public democratic rights. The scientific nature and feasibility of smart city construction planning was enhanced. The smooth implementation of smart city construction planning was an important foundation for promoting smart city construction. Therefore, public participation is an important way to safeguard social public interests and build a harmonious society.

Analysis of Different Mobile IoT Models in Smart City Planning: A Technical Investigation of Software & Hardware Architecture

2021 ◽  
Author(s):  
Md Ashraful Kabir ◽  
Md Shahrukh Adnan Khan ◽  
Kazi Mahtab Kadir ◽  
Chang Yoong Choon ◽  
Fiza Jefreen ◽  
...  
Keyword(s):  
Smart City ◽  
City Planning ◽  
Hardware Architecture

An analytical approach to real-time cloud services on IoT-based applications for smart city planning

2021 ◽  
Vol 12 (5/6) ◽  
pp. 507
Author(s):  
Ainun Kamal ◽  
Fiza Jefreen ◽  
Md. Pabel Sikder ◽  
Shah Reza Mohammad Fahad Ul Hossain ◽  
Shoaib Mahmud ◽  
...  
Keyword(s):  
Real Time ◽  
Smart City ◽  
Analytical Approach ◽  
City Planning ◽  
Cloud Services

Smart City Planning from an Evolutionary Perspective

2020 ◽  
pp. 3-19
Author(s):  
N. Komninos ◽  
C. Kakderi ◽  
A. Panori ◽  
P. Tsarchopoulos
Keyword(s):  
Smart City ◽  
City Planning ◽  
Evolutionary Perspective

scholarly journals Data-Driven Approach for Incident Management in a Smart City

2020 ◽  
Vol 10 (22) ◽  
pp. 8281
Author(s):  
Luís B. Elvas ◽  
Carolina F. Marreiros ◽  
João M. Dinis ◽  
Maria C. Pereira ◽  
Ana L. Martins ◽  
...  
Keyword(s):  
Data Mining ◽  
Smart City ◽  
City Planning ◽  
Smart Cities ◽  
Data Driven ◽  
Incident Management ◽  
Cascading Effects ◽  
Data Mining Approach ◽  
Industry Standard ◽  
Data Driven Approach

Buildings in Lisbon are often the victim of several types of events (such as accidents, fires, collapses, etc.). This study aims to apply a data-driven approach towards knowledge extraction from past incident data, nowadays available in the context of a Smart City. We apply a Cross Industry Standard Process for Data Mining (CRISP-DM) approach to perform incident management of the city of Lisbon. From this data-driven process, a descriptive and predictive analysis of an events dataset provided by the Lisbon Municipality was possible, together with other data obtained from the public domain, such as the temperature and humidity on the day of the events. The dataset provided contains events from 2011 to 2018 for the municipality of Lisbon. This data mining approach over past data identified patterns that provide useful knowledge for city incident managers. Additionally, the forecasts can be used for better city planning, and data correlations of variables can provide information about the most important variables towards those incidents. This approach is fundamental in the context of smart cities, where sensors and data can be used to improve citizens’ quality of life. Smart Cities allow the collecting of data from different systems, and for the case of disruptive events, these data allow us to understand them and their cascading effects better.

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