How Smart Cities Could Improve Open Data Portals to Empower Local Residents and Businesses: A Case Study of the City of Los Angeles and COVID-19

2020 ◽  
Author(s):  
Jared Mondschein ◽  
Shannon Prier ◽  
Aaron Clark-Ginsberg ◽  
Edward Parker
Keyword(s):  
Los Angeles ◽  
Smart Cities ◽  
Open Data ◽  
Local Residents ◽  
The City

scholarly journals An Efficient Management Platform for Developing Smart Cities: Solution for Real-Time and Future Crowd Detection

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 765
Author(s):  
David Garcia-Retuerta ◽  
Pablo Chamoso ◽  
Guillermo Hernández ◽  
Agustín San Román Guzmán ◽  
Tan Yigitcanlar ◽  
...  
Keyword(s):  
Smart Cities ◽  
Open Data ◽  
Climate Data ◽  
Smart Meters ◽  
Security Systems ◽  
Crowd Management ◽  
Management Platform ◽  
Efficient Management ◽  
Pedestrian Traffic ◽  
The City

A smart city is an environment that uses innovative technologies to make networks and services more flexible, effective, and sustainable with the use of information, digital, and telecommunication technologies, improving the city’s operations for the benefit of its citizens. Most cities incorporate data acquisition elements from their own systems or those managed by subcontracted companies that can be used to optimise their resources: energy consumption, smart meters, lighting, irrigation water consumption, traffic data, camera images, waste collection, security systems, pollution meters, climate data, etc. The city-as-a-platform concept is becoming popular and it is increasingly evident that cities must have efficient management systems capable of deploying, for instance, IoT platforms, open data, etc., and of using artificial intelligence intensively. For many cities, data collection is not a problem, but managing and analysing data with the aim of optimising resources and improving the lives of citizens is. This article presents deepint.net, a platform for capturing, integrating, analysing, and creating dashboards, alert systems, optimisation models, etc. This article shows how deepint.net has been used to estimate pedestrian traffic on the streets of Melbourne (Australia) using the XGBoost algorithm. Given the current situation, it is advisable not to transit urban roads when overcrowded, thus, the model proposed in this paper (and implemented with deepint.net) facilitates the identification of areas with less pedestrian traffic. This use case is an example of an efficient crowd management system, implemented and operated via a platform that offers many possibilities for the management of the data collected in smart territories and cities.

scholarly journals Building Smarter Cities through Social Entrepreneurship

2017 ◽  
pp. 327-362 ◽  
Author(s):  
Susana Bernardino ◽  
J. Freitas Santos
Keyword(s):  
Urban Areas ◽  
Smart Cities ◽  
Qualitative Approach ◽  
Non Profit ◽  
Social Interventions ◽  
Social Ventures ◽  
Different Characteristics ◽  
The City ◽  
Disadvantaged People

The objective of the present study is to examine the extent to which social ventures are able to increase the “smartness” of cities. To achieve this goal, we adopt a qualitative approach using a case study method to obtain valuable insights about different characteristics and strategies of Cais (a non-profit association dedicated to helping disadvantaged people in urban areas). Through our analysis of Cais's activities, we assess whether its social interventions match the dimensions proposed by Giffinger et al. (2007) to rank smart cities' performance; specifically, it has smart: economy, people, governance, mobility, environment, and living. The research shows that the action pursued comprises elements from all the above-mentioned dimensions. Further, the analysis reveals that Cais reinforces the smartness of the city in which it acts (in terms of attributes such as living, economy, people, and environment).

scholarly journals Framework for Developing an Information Technology Maturity Model for Smart City Services in Emerging Economies: (FSCE2)

2021 ◽  
Vol 11 (22) ◽  
pp. 10712
Author(s):  
Wilson Nieto Bernal ◽  
Keryn Lorena García Espitaleta
Keyword(s):  
Information Technology ◽  
Emerging Economies ◽  
Smart City ◽  
Smart Cities ◽  
Maturity Model ◽  
It Services ◽  
Implementation Model ◽  
Proposed Model ◽  
The City

The goal of this research is to design a framework to develop an information technology (IT) maturity model to guide the planning, design, and implementation of smart city services. The objectives of the proposed model are to define qualitatively and measure quantitatively the maturity levels for the IT dimensions used by smart cities (IT governance, IT services, data management and infrastructure), and to develop an implementation model that is practical and contextualized to the needs of any territory that wants to create or improve smart city services. The proposed framework consists of three components: a conceptual model of smart city services, IT dimensions and indicators, and IT maturity levels. The framework was validated by applying it to a case study for the evaluation of the IT maturity levels for the city of Cereté, Colombia.

A Smart City Remembers Its Past

Crowdsourcing ◽  
2019 ◽  
pp. 489-516
Author(s):  
Jennifer Minner ◽  
Andrea Roberts ◽  
Michael Holleran ◽  
Joshua Conrad
Keyword(s):  
Information Systems ◽  
Los Angeles ◽  
Smart City ◽  
Research Team ◽  
Historical Survey ◽  
Web Based ◽  
First Case ◽  
Planning Processes ◽  
The City

Integral to some conceptualizations of the “smart city” is the adoption of web-based technology to support civic engagement and improve information systems for local government decision support. Yet there is little to no literature on the “smartness” of gathering information about historic places within municipal information systems. This chapter provides three case studies of technologically augmented planning processes that incorporated citizens as sensors of data about historic places. The first case study is of SurveyLA, a massive effort of the city of Los Angeles to comprehensively survey over 880,000 parcels for historic resources. A second case study involves Motor City Mapping, an effort to identify the condition of buildings in Detroit, Michigan and a parallel historical survey conducted by volunteers. In Austin, Texas, a university-based research team designed a municipal web tool called the Austin Historical Survey Wiki. This chapter offers insights into these prior efforts to augment planning processes with “digitized memory,” web-based technology, and public engagement.

scholarly journals Routine Assessment of Health Impacts of Local Transportation Plans: A Case Study From the City of Los Angeles

2019 ◽  
Vol 109 (3) ◽  
pp. 490-496 ◽  
Author(s):  
Will Nicholas ◽  
Irene Vidyanti ◽  
Emily Caesar ◽  
Neil Maizlish
Keyword(s):  
Los Angeles ◽  
Health Impacts ◽  
The City ◽  
Routine Assessment

Legalizing Street Vending in Los Angeles: Reframing a Movement during the Fourth Wave of Feminism

2020 ◽  
pp. 089692052097678
Author(s):  
Sara Bruene ◽  
Moshoula Capous-Desyllas
Keyword(s):  
Los Angeles ◽  
Women Of Color ◽  
Qualitative Interviews ◽  
Labor Rights ◽  
Street Vendor ◽  
Street Vending ◽  
Frame Alignment ◽  
Fourth Wave ◽  
The City

Street vending was criminalized in the city of Los Angeles since the 1930s. The Los Angeles Street Vendor Campaign (LASVC) utilized several framing tactics over the last several years in order to mobilize participants to decriminalize and legalize the profession of street vending. This article applies frame alignment theory to illustrate how the LASVC reached its goals. This case study utilizes qualitative interviews of key players in the LASVC movement and a content analysis of LASVC’S Facebook page to document their push toward decriminalization over the course of 1 year. The LASVC transformed their narrative from issues of immigration and labor rights and reframed street vending as a women’s justice issue. By doing so, the LASVC extended the boundaries of their frames to incorporate the voices of women of color whose online and on-the-ground efforts to mobilize a larger population manifested during an era of the fourth wave feminism.

scholarly journals Strategies for the Development of Smart Cities: The Case of Kalampaka-Greece

2018 ◽  
Vol 5 (1) ◽  
pp. 70
Author(s):  
Christos Stamopoulos ◽  
Eleni Theodoropoulou
Keyword(s):  
Quality Of Life ◽  
Environmental Sustainability ◽  
Smart Cities ◽  
Determining Factors ◽  
Construction Strategies ◽  
The City ◽  
Simple Selection ◽  
Selection Of

The present paper investigates the characteristics and best construction strategies of smart cities around the world, as well as the determining factors of the satisfaction of the quality of life and the importance of the value of environmental sustainability. A case study of the city of Kalampaka and its residents was examined. The survey was conducted between July 2016 and August 2016. The selection of the sample was done by using the method of simple selection and includes a random sample of N=150 individuals. Statistical analysis showed that resident’s knowledge about smart cities was fairly good (48% of sample knew the phrase “smart cities”). Furthermore, they believe that the appearance of the city of Kalampaka needs improvement (75% of sample is disappointed with the current appearance of the city). Regression analysis showed that the value of environmental sustainability is greatly influenced by the energy saving, as well as, innovation has an impact on the level of quality of life. Older people seem to be satisfied with administration’s efforts.

scholarly journals Analysis of Green Spaces by Utilizing Big Data to Support Smart Cities and Environment: A Case Study About the City Center of Shanghai

2020 ◽  
Vol 9 (6) ◽  
pp. 360 ◽  
Author(s):  
Qi Liu ◽  
Hidayat Ullah ◽  
Wanggen Wan ◽  
Zhangyou Peng ◽  
Li Hou ◽  
...  
Keyword(s):  
Smart Cities ◽  
Relative Difference ◽  
Green Spaces ◽  
Spatial And Temporal Patterns ◽  
City Center ◽  
The Hours ◽  
Spatiotemporal Behavior ◽  
Public Behavior ◽  
The City

Green areas or parks are the best way to encourage people to take part in physical exercise. Traditional techniques of researching the attractiveness of green parks, such as surveys and questionnaires, are naturally time consuming and expensive, with less transferable outcomes and only site-specific findings. This research provides a factfinding study by means of location-based social network (LBSN) data to gather spatial and temporal patterns of green park visits in the city center of Shanghai, China. During the period from July 2014 to June 2017, we examined the spatiotemporal behavior of visitors in 71 green parks in Shanghai. We conducted an empirical investigation through kernel density estimation (KDE) and relative difference methods on the effects of green spaces on public behavior in Shanghai, and our main categories of findings are as follows: (i) check-in distribution of visitors in different green spaces, (ii) users’ transition based on the hours of a day, (iii) famous parks in the study area based upon the number of check-ins, and (iv) gender difference among green park visitors. Furthermore, the purpose of obtaining these outcomes can be utilized in urban planning of a smart city for green environment according to the preferences of visitors.

scholarly journals Building Virtual 3D City Model for Smart Cities Applications: A Case Study on Campus Area of the University of Novi Sad

2020 ◽  
Vol 9 (8) ◽  
pp. 476 ◽  
Author(s):  
Dušan Jovanović ◽  
Stevan Milovanov ◽  
Igor Ruskovski ◽  
Miro Govedarica ◽  
Dubravka Sladić ◽  
...  
Keyword(s):  
Smart Cities ◽  
Airborne Lidar ◽  
3D City Models ◽  
3D City Model ◽  
City Model ◽  
Novi Sad ◽  
The University ◽  
The City ◽  
City Models

The Smart Cities data and applications need to replicate, as faithfully as possible, the state of the city and to simulate possible alternative futures. In order to do this, the modelling of the city should cover all aspects of the city that are relevant to the problems that require smart solutions. In this context, 2D and 3D spatial data play a key role, in particular 3D city models. One of the methods for collecting data that can be used for developing such 3D city models is Light Detection and Ranging (LiDAR), a technology that has provided opportunities to generate large-scale 3D city models at relatively low cost. The collected data is further processed to obtain fully developed photorealistic virtual 3D city models. The goal of this research is to develop virtual 3D city model based on airborne LiDAR surveying and to analyze its applicability toward Smart Cities applications. It this paper, we present workflow that goes from data collection by LiDAR, through extract, transform, load (ETL) transformations and data processing to developing 3D virtual city model and finally discuss its future potential usage scenarios in various fields of application such as modern ICT-based urban planning and 3D cadaster. The results are presented on the case study of campus area of the University of Novi Sad.

scholarly journals Where’s the database in digital ethnography? Exploring database ethnography for open data research

2019 ◽  
Vol 20 (5) ◽  
pp. 598-616 ◽  
Author(s):  
Ryan Burns ◽  
Grace Wark
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Open Data ◽  
Urban Life ◽  
Data Types ◽  
Digital Ethnography ◽  
Fundamental Dimension ◽  
Recent Trends ◽  
Technical Specifications ◽  
The City

Contemporary cities are witnessing momentous shifts in how institutions and individuals produce and circulate data. Despite recent trends claiming that anyone can create and use data, cities remain marked by persistently uneven access and usage of digital technologies. This is the case as well within the emergent phenomenon of the ‘smart city,’ where open data are a key strategy for achieving ‘smartness,’ and increasingly constitute a fundamental dimension of urban life, governance, economic activity, and epistemology. The digital ethnography has extended traditional ethnographic research practices into such digital realms, yet its applicability within open data and smart cities is unclear. The method has tended to overlook the important roles of particular digital artifacts such as the database in structuring and producing knowledge. In this paper, we develop the database ethnography as a rich methodological resource for open data research. This approach centers the database as a key site for the production and materialization of social meaning. The database ethnography draws attention to the ways digital choices and practices—around database design, schema, data models, and so on—leave traces through time. From these traces, we may infer lessons about how phenomena come to be encoded as data and acted upon in urban contexts. Open databases are, in other words, key ways in which knowledges about the smart city are framed, delimited, and represented. More specifically, we argue that open databases limit data types, categorize and classify data to align with technical specifications, reflect the database designer’s episteme, and (re)produce conceptions of the world. We substantiate these claims through a database ethnography of the open data portal for the city of Calgary, in Western Canada.

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