scholarly journals A Shared Bus Profiling Scheme for Smart Cities Based on Heterogeneous Mobile Crowdsourced Data

2020 ◽  
Vol 16 (2) ◽  
pp. 1436-1444 ◽  
Author(s):  
Xiangjie Kong ◽  
Feng Xia ◽  
Jianxin Li ◽  
Mingliang Hou ◽  
Menglin Li ◽  
...  
Keyword(s):  
Smart Cities ◽  
Crowdsourced Data ◽  
Shared Bus

Assessing geographical representativeness of crowdsourced urban mobility data: An empirical investigation of Australian bicycling

2019 ◽  
pp. 239980831989433 ◽  
Author(s):  
Scott N Lieske ◽  
Simone Z Leao ◽  
Lindsey Conrow ◽  
Chris Pettit
Keyword(s):  
Spatial Autocorrelation ◽  
Smart Cities ◽  
High Volume ◽  
Urban Mobility ◽  
Flow Data ◽  
Rapid Urbanization ◽  
Validity Assessment ◽  
Planning And Management ◽  
Crowdsourced Data ◽  
Interaction Matrices

In an era of data-driven smart cities, the possibility of using crowdsourced big data to support evidence-based planning and decision-making remains a challenge. Along with the increased availability and potential utility of crowdsourced data, there is a clear need to assess the validity of these data in order to determine their appropriate use for planning and management. Moreover, with growth and rapid urbanization in many cities, there are increasing challenges associated with urban mobility. The goal of this research is to develop an understanding of the geographical representativeness of crowdsourced data in the context of urban mobility through investigation of bicycling in Australian cities. In order to leverage both the geographic distribution and high volume of crowdsourced data for validity assessment, we present a two-stage statistical approach. First, we evaluate flow data through correlation between spatial interaction matrices in the presence of spatial autocorrelation. The second stage evaluates the quantity of information available within the interaction matrices. The approach is demonstrated with crowdsourced bicycling commuting routes recorded by the RiderLog app from 2010 to 2014 that are then correlated with census bicycling journey to work data. Data are from four of Australia’s state capital cities: Adelaide, Brisbane, Melbourne and Perth. These methods assess the representativeness of individual bicycle routes that address the full pattern of flows within multiorigin multidestination systems and incorporate spatial autocorrelation. Results indicate that these crowdsourced data are geographically representative of regional travel where there are higher data volumes, generally in central business districts and occasionally in outlying areas. This research provides insights into both methods for statistical comparison of flow data and the use of crowdsourced bicycling routes for urban planning and management.

Intelligent Marketing in Smart Cities: Crowdsourced Data for Geo-Conquesting

2016 ◽  
Vol 18 (4) ◽  
pp. 18-24 ◽  
Author(s):  
Bo-Wei Chen ◽  
Wen Ji
Keyword(s):  
Smart Cities ◽  
Crowdsourced Data

scholarly journals Urban Data Dynamics: A Systematic Benchmarking Framework to Integrate Crowdsourcing and Smart Cities’ Standardization

2021 ◽  
Vol 13 (15) ◽  
pp. 8553
Author(s):  
Vaia Moustaka ◽  
Antonios Maitis ◽  
Athena Vakali ◽  
Leonidas G. Anthopoulos
Keyword(s):  
Decision Making ◽  
Knowledge Economy ◽  
Smart City ◽  
Smart Cities ◽  
Open Data ◽  
Proof Of Concept ◽  
Data Dynamics ◽  
Crowdsourced Data ◽  
Data Production ◽  
Urban Data

Urbanization and knowledge economy have highly marked the new millennium. Urbanization brings new challenges which can be addressed by the knowledge economy, which opens up scientific and technical innovation opportunities. The enhancement of cities’ intelligence has heavily impacted city transformation and sustainable decision-making based on urban data knowledge extraction. This work is motivated by the strong demand for robust standardization efforts to steer and measure city performance and dynamics, given the growing tendency of conventional cities’ transformation into smart and resilient ones. This paper revises the earlier so-called “cityDNA” framework, which was designed to detect the interrelations between the six smart city dimensions, such that a city’s profile and capacities are recognized in a systematic manner. The updated framework implements the widely accepted smart city (ISO 37120:2018) standard, along with an adaptive Web service, which processes urban data and visualizes the city’s profile to facilitate decision-making. The proposed framework offers a solid benchmarking service, at which the value of crowdsourced data is exploited for the production of urban knowledge and city transformation empowerment. The proposed benchmarking approach is tested and validated through relevant case studies and a proof-of-concept scenario, in which open data and crowdsourced data are exploited. The outcomes revealed that cities should intensify their KPI-driven data production and exploitation along with a set of solid standards for cities to enable cities with customizable scenarios enriched with indicators that reflect each city’s vibrancy.

Technologies Disability and Inclusion

2018 ◽  
Author(s):  
Tomas Brusell
Keyword(s):  
Social Media ◽  
Augmented Reality ◽  
Information And Communication Technologies ◽  
Future Development ◽  
Smart Cities ◽  
Communication Technologies ◽  
Modern Technology ◽  
The Social ◽  
The Disabled ◽  
Information And Communication

When modern technology permeates every corner of life, there are ignited more and more hopes among the disabled to be compensated for the loss of mobility and participation in normal life, and with Information and Communication Technologies (ICT), Exoskeleton Technologies and truly hands free technologies (HMI), it's possible for the disabled to be included in the social and pedagogic spheres, especially via computers and smartphones with social media apps and digital instruments for Augmented Reality (AR) .In this paper a nouvel HMI technology is presented with relevance for the inclusion of disabled in every day life with specific focus on the future development of "smart cities" and "smart homes".

SenCity – Evaluating Users’ Experiences of Intelligent Lighting for Well-Being in Smart Cities

2018 ◽  
pp. 60-67
Author(s):  
Henrika Pihlajaniemi ◽  
Anna Luusua ◽  
Eveliina Juntunen
Keyword(s):  
Case Studies ◽  
Smart City ◽  
Smart Cities ◽  
Well Being ◽  
Evaluation Methods ◽  
Data Analyses ◽  
Sense Of Security ◽  
System Data

This paper presents the evaluation of usersХ experiences in three intelligent lighting pilots in Finland. Two of the case studies are related to the use of intelligent lighting in different kinds of traffic areas, having emphasis on aspects of visibility, traffic and movement safety, and sense of security. The last case study presents a more complex view to the experience of intelligent lighting in smart city contexts. The evaluation methods, tailored to each pilot context, include questionnaires, an urban dashboard, in-situ interviews and observations, evaluation probes, and system data analyses. The applicability of the selected and tested methods is discussed reflecting the process and achieved results.

Zukunftschancen erkennen durch einen erweiterten Medienbegriff

2015 ◽  
Vol 12 (1) ◽  
pp. 35-39
Author(s):  
Alexander Roos
Keyword(s):  
Smart Cities ◽  
Industrie 4.0

Alexander Roos schließlich geht deutlich weiter, er stellt alle auf digitale Kommunikationsmedien aufbauende Lösungen in das Zentrum seines Begriffsverständnisses und kommt so – zumindest implizit – zu einem ausgeweiteten Verständnis der Medienbranche, das z. B. auch die mediale Ausstattung von Städten („Smart Cities“) und die Nutzung digitaler Medien in der industriellen Produktion („Industrie 4.0“) umfasst.

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