scholarly journals Factors that influence the usability of a participatory IVR crowdsourcing system in a smart city

2017 ◽  
Vol 29 (3) ◽  
Author(s):  
Liezel Cilliers ◽  
Stephen Flowerday
Keyword(s):  
South Africa ◽  
Factor Analysis ◽  
Public Safety ◽  
Smart Cities ◽  
Survey Method ◽  
City Management ◽  
Perceived Satisfaction ◽  
Literacy Level ◽  
The City ◽  
New Infrastructure

‘Smart Cities’ is a new and inventive approach that allows city management to use current infrastructure and resources more effectively. Participatory crowdsourcing is an effective method to collect data from the citizens, as it does not require costly new infrastructure and can be used by all citizens, regardless of their literacy level. To date, very few studies have investigated the usability these participatory crowdsourcing systems in a developing country context. The focus of this paper is then to provide a model for the usability of the IVR system to collect information from citizens to improve public safety in the city. The study makes use of a quantitative survey method. A questionnaire was completed by 361 participants of a public safety project hosted East London, South Africa. The data analysis was completed making use of factor analysis. The results indicated that efficiency and perceived satisfaction with the system was important elements that determined the usability of the system. The recommendation of the study is then that the city management must take these two elements in to account when designed or developing a participatory crowdsourcing system.

YOUTH EXPECTATIONS OF SMART CITY LIVING: AN IMPORTANCE- PERFORMANCE ANALYSIS OF YOUNG RESIDENTS’ PERSPECTIVES OF CITY GOVERNMENT

2017 ◽  
Vol 14 (1) ◽  
pp. 118-128
Author(s):  
Jason Cohen ◽  
Judy Backhouse ◽  
Omar Ally
Keyword(s):  
Performance Analysis ◽  
Young People ◽  
Smart City ◽  
Smart Cities ◽  
City Government ◽  
Diagnostic Tools ◽  
City Management ◽  
Bottom Up ◽  
Starting Point ◽  
The City

Young people are important to cities, bringing skills and energy and contributing to economic activity. New technologies have led to the idea of a smart city as a framework for city management. Smart cities are developed from the top-down through government programmes, but also from the bottom-up by residents as technologies facilitate participation in developing new forms of city services. Young people are uniquely positioned to contribute to bottom-up smart city projects. Few diagnostic tools exist to guide city authorities on how to prioritise city service provision. A starting point is to understand how the youth value city services. This study surveys young people in Braamfontein, Johannesburg, and conducts an importance-performance analysis to identify which city services are well regarded and where the city should focus efforts and resources. The results show that Smart city initiatives that would most increase the satisfaction of youths in Braamfontein  include wireless connectivity, tools to track public transport  and  information  on city events. These  results  identify  city services that are valued by young people, highlighting services that young people could participate in providing. The importance-performance analysis can assist the city to direct effort and scarce resources effectively.

scholarly journals TOWARDS 3D SMART CAMPUS VIA 3D CITY MODELLING

2019 ◽  
Vol XLII-4/W16 ◽  
pp. 523-526
Author(s):  
S. S. S. Ramlee ◽  
N. Abd Razak ◽  
U. Ujang ◽  
S. Mohd Salleh ◽  
S. Azri ◽  
...  
Keyword(s):  
3D Visualization ◽  
Smart Cities ◽  
3D Models ◽  
City Management ◽  
University Campus ◽  
Spatial Query ◽  
Web Browser ◽  
Smart Campus ◽  
The City ◽  
3D City Modelling

Abstract. The smart city concept may aid in improving the city management, enhance the efficiency and thus increase the effectiveness of the city, where it is mainly focused on both information and technologies. This concept appears to be applicable for a smaller area such as university campus. Based on this idea, this research tries to implement the 3D smart campus for Universiti Teknologi Malaysia (UTM). This is an initial research towards a real implementation of 3D smart campus and conceivably 3D smart cities. This research focuses on the development of UTM smart campus by using 3D city modelling. The QGIS software was used to develop the 3D models. Then, the 3D model is viewed in a web browser for better 3D visualization and navigation. Furthermore, the results show that the 3D developed models for UTM smart campus can be a reliable platform to manage the spatial query and viewing the attributes of UTM campus buildings and facilities. This can be seen beneficial to the physical future development of the UTM campus area.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PERILAKU KONSUMEN DALAM PEMBELIAN TABLOID NOVA DI KOTA PONTIANAK

2013 ◽  
Vol 9 (3) ◽  
pp. 253
Author(s):  
Samsuddin Sam
Keyword(s):  
Factor Analysis ◽  
Consumer Behavior ◽  
Survey Method ◽  
Validity And Reliability ◽  
Reading Habits ◽  
Cumulative Percentage ◽  
Five Factors ◽  
Bartlett’S Test ◽  
Testing Instruments ◽  
The City

This study aims to determine the factors Cultural, Social, Personal and psychology affect consumer behavior in purchasing tabloid Nova in the city of Pontianak. This study is a survey method, whose population is all consumers tabloid Nova in Pontianak and 100 of whom were sampled were selected based on purposive sampling. Data analysis was performed with the Validity and Reliability Testing Instruments, factor analysis (Factor Analysis) which is used to determine the factors that influence consumers in the purchase Tabloid Nova in Pontianak. Test Bartlett's Test of Spehericity amounted to 795.181 less than the value α of 0.05 (5%), so Ho rejected and Ha accepted. Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy amounted to 0,703 this value indicates the number is greater than required, amounting to 0.5-1.0 means of factor analysis suitable for use and there is a closeness between the variables in the population. Factors that influence the consumer's decision to buy tabloids Nova in Pontianak is reflecting social class, lifestyle, perceptions of news delivered and decision-making with the conscious, rational and deliberate, easily available and alternative options on the product, reading habits and customs in the neighborhood , the experience of families and benefits and will always buy. because of the influence of friends, adjust to the income and the drive to buy. The five factors that influence the consumer's decision to buy tabloids Nova in Pontianak has a cumulative percentage of variance (cumulative percentage of variance) of 67.948%. This shows that 5 (five) factors are able to explain the factors that influence the consumer's decision to buy tabloids Nova in Pontianak at 67.948%, while the remaining 31.239% is explained or influenced by other factors.Keywords: consumer behavior, cultural factors, personal, psychological

scholarly journals Analysis of the tourists' motivation for staying in cities: The case study of the City of Belgrade

2021 ◽  
Vol 57 (45) ◽  
pp. 51-65
Author(s):  
Milena Podovac
Keyword(s):  
Factor Analysis ◽  
Urban Tourism ◽  
Primary Data ◽  
Survey Method ◽  
Future Research ◽  
Sociodemographic Characteristics ◽  
Research Findings ◽  
The City ◽  
Descriptive Statistical Analysis

This paper presents the results of research on the tourists' motivation for staying in the City of Belgrade. The purpose of this paper is to identify the motives for which tourists usually stay in Belgrade and to examine the existence of statistically significant differences between the motives of tourists depending on their sociodemographic characteristics (gender, age, education and origin). The research sample included 250 respondents who had stayed in Belgrade. Belgrade is the most visited destination of urban tourism thanks to the quality and diversity of tourist offer, which can satisfy different motives of tourists. In order to collect primary data, a survey method was applied while descriptive statistical analysis, t-test of independent samples and one-factor analysis of variance (ANOVA) were used to process the collected data. The research findings indicate that the largest number of respondents stayed in Belgrade due to: business reasons, scientific conferences, visits to relatives and/or friends, sightseeing of the city and nightlife. Based on the theoretical analysis and results of empirical research, the recommendations for future research were also presented in the paper.

scholarly journals AN INITIATIVES-BASED FRAMEWORK FOR ASSESSING SMART CITY

2016 ◽  
Author(s):  
Yasmin Mohd Adnan ◽  
Hasniyati Hamzah ◽  
Melasutra Md. Dali ◽  
Md Nasir Daud ◽  
Anuar Alias
Keyword(s):  
Smart City ◽  
Quantitative Assessment ◽  
Smart Cities ◽  
City Management ◽  
Assessment Framework ◽  
New Paradigm ◽  
Sustainable City ◽  
Management And Development ◽  
The City ◽  
Better Than

Smart Cities have grown in prominence due to advancement in ICT and the new paradigm of sustainable city management and development. Whilst many authors have proposed guidelines and framework for Smart City implementation, less attention has been given to the assessment of Smart City performance. The mainstream Smart City assessment framework generally entails the quantitative assessment of factors, elements and initiatives categorised under the Smart City dimensions. However, this approach is problematic and impractical because it requires a large amount of different baseline data that is often at times unavailable due to various reasons. This paper describes an alternative framework for smart city assessment, one that is based on the modification of Giffmger’s to make it amenable to leaner data. The proposed assessment framework was adopted to assess the smart city performances of Seoul, Singapore, and Iskandar Malaysia which were then compared. With the use of the framework for the performance assessment, the city that has performed better than the others is able to be identified.

scholarly journals GEOMATICS FOR SMART CITIES: OBTAINING THE URBAN PLANNING BAF INDEX FROM EXISTING DIGITAL MAPS

2016 ◽  
Vol XLI-B2 ◽  
pp. 689-694
Author(s):  
V. Casella ◽  
M. Franzini ◽  
R. De Lotto
Keyword(s):  
Urban Planning ◽  
Smart Cities ◽  
Well Being ◽  
Point Of View ◽  
City Management ◽  
Soil Permeability ◽  
Specific Point ◽  
Digital Maps ◽  
Digital Cartography ◽  
The City

The <i>urban analytics</i> expression is spreading out. To our understanding, it deals with the capability of <i>measuring</i> cities and their communities, as a support to their effective planning and management. In other words, being an analytically well-known city is a precondition for pursuing smartness. Urban planning is a very important item for city management and is interrelated with many layers, including urban environmental quality, air quality and well-being. Effective urban planning is based on the knowledge of quantitative parameters such as the <i>biotope area factor</i> (BAF), which was originally proposed for the city of Berlin and is currently used in other cities. The BAF index is used to evaluate the degree of soil permeability and measures, to a certain extent and from a specific point of view, how a city is eco-friendly. The usual way of evaluating the BAF is based on the manual construction of dedicated maps, using existing orthophotos and oblique imagery as a support. But this method is expensive, time-consuming and non-objective, as it is prone to different interpretations. The paper presents a newly-developed methodology for calculating the BAF. It is based on the use of existing digital cartography and on the application of geoprocessing techniques from GIS science: it is therefore fully automated and objective. The Pavia city (Northern Italy) is used as a testsite and a careful validation of the developed methodology is carried out, by comparison to 12 manually surveyed test areas, corresponding to 5% of the built-up areas of the municipality.

scholarly journals Attributes of Entreprenuers at an Arts Festival

2009 ◽  
Vol 2 (1) ◽  
pp. 17 ◽  
Author(s):  
M Saayman ◽  
M Douglas ◽  
S De Klerk
Keyword(s):  
South Africa ◽  
Factor Analysis ◽  
Data Analysis ◽  
Literature Review ◽  
Key Words ◽  
Small Businesses ◽  
Arts Festivals ◽  
Event Tourism ◽  
Arts Festival ◽  
The City

<p>The purpose of this article is to determine the attributes of entrepreneurs at festivals, in this case an arts festival. The reason for choosing an arts festival is that the largest festivals (judged by number of visitors and income generated) hosted in South Africa annually are arts festivals. A literature review revealed that this type of study had not previously been conducted in South Africa. In order to generate proper data, a survey was conducted of all small businesses that were trading at one of South Africa’s largest arts festivals, namely the Aardklop National Arts Festival, held annually in the city of Potchefstroom. 222 useable questionnaires were captured and the data analysis included a factor analysis and descriptive results. The main results reveal that the most important attributes are a need for achievement, being successful, having the necessary organising skills, selfedification, being explorative, and commitment.        </p><strong>Key words:</strong> entrepreneurs, arts festivals, event tourism, South Africa, attributes, Aardklop National Arts Festival

scholarly journals Smart Cities: Data-Driven Solutions to Understand Disruptive Problems in Transportation—The Lisbon Case Study

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3044
Author(s):  
Vitória Albuquerque ◽  
Ana Oliveira ◽  
Jorge Lourenço Barbosa ◽  
Rui Simão Rodrigues ◽  
Francisco Andrade ◽  
...  
Keyword(s):  
Smart Cities ◽  
Research Work ◽  
Data Availability ◽  
Data Driven ◽  
City Management ◽  
Cascading Effect ◽  
Mobility Data ◽  
Local Municipality ◽  
Big Picture ◽  
The City

Transportation data in a smart city environment is increasingly becoming available. This data availability allows building smart solutions that are viewed as meaningful by both city residents and city management authorities. Our research work was based on Lisbon mobility data available through the local municipality, where we integrated and cleaned different data sources and applied a CRISP-DM approach using Python. We focused on mobility problems and interdependence and cascading-effect solutions for the city of Lisbon. We developed data-driven approaches using artificial intelligence and visualization methods to understand traffic and accident problems, providing a big picture to competent authorities and supporting the city in being more prepared, adaptable, and responsive, and better able to recover from such events.

scholarly journals Systems analysis of the transformation of South African cities

2017 ◽  
Author(s):  
◽  
Thokozani Silas Simelane
Keyword(s):  
South Africa ◽  
Mathematical Models ◽  
Statistical Methods ◽  
Systems Analysis ◽  
Dynamic Models ◽  
Model Transformations ◽  
City Management ◽  
Migration System ◽  
Primary Driver ◽  
The City

The need to quantify and model transformations that have taken place in the cities of South Africa is one of the grand challenges linked to country’s transition to Democracy. Given the complexities associated with different stages of city transformation, it is imperative that models used to unpack processes of city transformation are novel. In this study it emerged that statistical methods alone are not adequate to fully present, in a comprehensible way, all facets of drivers of city transformation. As a result, statistical methods have been combined with mathematical and system dynamics models. Results revealed that city transformations derive from a number of triggers. Underlining these are income, migration and houses. The empirical data collected through questionnaire survey that was later incorporated into mathematical models demonstrated that income is a primary driver that fuels city migration. System Dynamic Models demonstrated that the availability of houses or accommodation serve as constraints that keep the city population within the limits of the carrying capacity of a city. In addition it was further confirmed, through mathematical models that income has varying effects on the attractiveness of cities. This was found to be linked to the shape of the distribution of income in the city. A normally distributed income with a peak in the middle results in a city being more attractive than an evenly distributed income that peaks either at very low or high income levels. This observation brought forth a need to test heterogeneity when analyzing city transformation using income as an index. Mathematical Models that incorporated heterogeneity demonstrated the usefulness of systems analysis in unpacking the mechanism of city transformation, a component of city management that requires serious consideration for planning, budgeting and provision of limited resources like houses in the cities. Success of methods used in this study led to a conclusion that these can be enhanced through other techniques like agent based models. With this call, improvements on this study that can be attained through these techniques are recommended. This will enrich the understanding of the transformation and dynamics of cities under different conditions than those that exist in South Africa.

scholarly journals AN ANALYSIS TO INVESTIGATE SPATIAL COGNITIVE FACTORS WHICH INFLUENCE CYCLING PATTERNS IN JOHANNESBURG

2018 ◽  
Vol XLII-4/W11 ◽  
pp. 43-49 ◽  
Author(s):  
T. Moyo ◽  
W. Musakwa ◽  
B. T. Mokoena
Keyword(s):  
South Africa ◽  
Short Distance ◽  
Analytical Approach ◽  
Smart Cities ◽  
Travel Behaviour ◽  
Cognitive Factors ◽  
Cognitive Reasoning ◽  
Last Mile ◽  
Attitudinal Data ◽  
The City

<p><strong>Abstract.</strong> Cycling in most African cities is done as either a mode of commuting or for recreational purposes. Apart from Smart cities encouraging a shift from cars to public transport by providing efficient last-mile connections, commuter cycling can take a significant share of end-to-end short distance trips. The ultimate realization of cycling merits by urban dwellers, (such as in Johannesburg, South Africa) is hindered by a lack of appropriate data to aid in understanding the dynamics of cycling behaviour. This paper seeks to be the first step in building a multi-model to govern the use of multi-modes of mobility in the city by initial focusing on promoting NMT usage as a mode of commuting in the city. Identification of these factors would go a long way in improving cycling uptake as well as inform policy strategies for non-motorized transportation in the city. Using an analytical approach, the authors conducted a survey along pre-known locations were cyclist choose to cycle. One route with newly developed cycling infrastructure and another without cycling infrastructure. A self-reported travel behaviour form, was used for the collection of spatial cognitive and attitudinal data on participants’ travel environment, attitude, behaviour, norm, intention, and habit was utilized to gather data to understand cyclist cognitive reasoning for choosing one path over another. The data collected from the survey was then overlaid with Strava Metro cycling data showing locations were cyclist prefer to cycle in the city. Findings from the analysis suggest perceived safe routes and routes that maximize health benefits are preferred. Based on the findings it is recommended that planners need to use crowd sourced data before developing infrastructure for cycling the city.</p>

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