scholarly journals Using Data on Bike-Sharing System User Stopovers in Smart Tourism: A Case Study

2021 ◽  
Vol 23 (2) ◽  
pp. G1-G12
Author(s):  
Krystian Banet
Keyword(s):  
Smart Cities ◽  
Public Spaces ◽  
Data Filtering ◽  
Analysis And Design ◽  
Filtering Method ◽  
Bike Sharing ◽  
System User ◽  
Using Data ◽  
Smart Tourism

Bike-sharing systems are an important element in development of the smart cities and datasets from these systems are one of the ways to obtain large amount of information on bicycle traffic. These usually contain data on the origin and destination of each trip, as well as its time and duration. Alongside the basic data, some operators also provide information on the exact route picked by each user. This allows researchers to study stopovers, which may serve as a source of interesting information on human behaviour in public spaces and, as a consequence, help improve its analysis and design. However, using the raw data may lead to important errors because most stops occur in the vicinity of bike stations or are related to traffic problems, as evidenced by the case study of Cracow. The data filtering method proposed below opens up the possibility for using such datasets for further research on bike user behaviour and public spaces.

scholarly journals Accessibility Index for Smart Cities

Proceedings ◽  
2018 ◽  
Vol 2 (19) ◽  
pp. 1219 ◽  
Author(s):  
Rafael Alejandro Mollá-Sirvent ◽  
Higinio Mora ◽  
Virgilio Gilart-Iglesias ◽  
Raquel Pérez-delHoyo ◽  
María Dolores Andújar-Montoya
Keyword(s):  
Urban Area ◽  
Smart Cities ◽  
Public Spaces ◽  
Social Awareness ◽  
European Directives ◽  
Using Data ◽  
Over Time ◽  
The Way

There is a growing social awareness about accessibility. The accessibility in cities and public spaces has become in an important issue in official agendas due to recent European directives. There are several studies on the way to improve accessibility in cities but they do not offer the possibility of view if solutions applied are valid over time. This paper proposes a method to measure the degree of accessibility of a city or urban area by using data from conflicting accessibility points collected by the own citizens. It will allow us to visualize in a concise way how accessible a city is and its progression in the time.

scholarly journals Hybridizing bike-sharing systems: the way to improve mobility in smart cities

2018 ◽  
Vol 79 ◽  
pp. 53-63 ◽  
Author(s):  
Tomasz Bieliński ◽  
Agnieszka Ważna
Keyword(s):  
Smart Cities ◽  
Hybrid Models ◽  
Smartphone Applications ◽  
Wide Range ◽  
Bike Sharing ◽  
Urban Problems ◽  
New Generation ◽  
The Way

New generation of bike-sharing systems introduce a wide range of smart solutions. Dockless bicycles equipped with GPS and accessible by smartphone applications as well as electric bikes are considered to be solutions to many socioeconomic and environmental urban problems. However, older generation of bike-sharing systems equipped with dockings stations have some advantages over free floating public bicycles. The aim of this paper is to examine if hybridization of both systems may become an opportunity to improve bike-sharing services. The paper presents characteristics of both types of bike-sharing schemes and describes the examples of hybrid models to show benefits of this solution. Chosen methodology is the case study of selected European bike-sharing systems which combine features of both schemes – the dockless and the station-based.

scholarly journals EXPLORING THE POTENTIAL OF CROWD SOURCED DATA TO MAP COMMUTER POINTS OF INTEREST: A CASE STUDY OF JOHANNESBURG

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1587-1592 ◽  
Author(s):  
T. Moyo ◽  
W. Musakwa
Keyword(s):  
Spatial Data ◽  
Public Transportation ◽  
Smart Cities ◽  
Supply And Demand ◽  
Points Of Interest ◽  
Key Points ◽  
Bike Sharing ◽  
Transportation Development ◽  
The City

<p><strong>Abstract.</strong> Modern African cities are faced with various mobility and transportation challenges. In developing smart sustainable cities, city planners need to create a balance between supply and demand for public transportation. Development of multi-mobility mode models has contemporarily received a special interest in smart cities development. Globally, the use of bike sharing services to complete the first kilometre or last kilometre of the trip has been highly received, with commuters using either rail or road mobility modes for the middle section of their trip. Within the developing world context, the use of multi-mobility modes in daily commuting is still new, and little research has been done to guide this. Notwithstanding the influence of uncertainties and fragmentation over demand and supply in public transportation provision. In the South Africa context, various modes of public transportation have been developed which seek to be smart, sustainable and efficient such as the fast train (Gautrain), Bus rapid transport (Rea Vaya and Gaubus) and Bikes sharing platforms (Upcycles), however most of these modes are currently not spatially connected. Hence the researcher sought to develop a stepping stone in planning for future mobility demand. Using an explorative methodology, the authors collected quantitative and spatial data in the form of land-use data and crowd sourced data (from twitter) to map commuter points of interest in and around the city of Johannesburg. The results reveal hot and cold spots in the city. The hot spots reveal areas where commuters frequently travel to, and when overlaid with transportation data, we are able to identify potential locations to develop new transportation hubs as these will overtime become key points of interest.</p>

scholarly journals Confirmation and Validation of Smart Tourism Technology Attributes: the case study of City of Tshwane

2020 ◽  
pp. 38-56
Author(s):  
Munei Nengovhela ◽  
Nixon Muganda Ochara ◽  
Tondani Madzunye (Nethengwe)
Keyword(s):  
Industrial Revolution ◽  
Smart Cities ◽  
Destination Choice ◽  
Confirmatory Factor ◽  
World Class ◽  
Continued Use ◽  
The City ◽  
Technology Attributes ◽  
Smart Tourism

The Fourth Industrial Revolution has resulted in the proliferation of the word ‘smart’. The continued use and adoption of smart tourism technologies by tourists is creating a new form of tourist consumption behaviour that is influenced by smart tourism technologies. The notion of smart cities has also emerged. The city of Tshwane has been making strides to become a world class African smart city and such offers the city of Tshwane an opportunity to position itself as a smart tourism destination. Prior to such positioning, it is critical that a research aimed at investigating digital behaviour of tourists visiting the city be conducted. The objective of the current study was to identify and validate the attributes (factors) of the smart tourism technologies that influence a tourist’s destination choice. The study was quantitative in nature. Data was collected by means of a questionnaire with 29 seven-point Likert scale items. A total of 208 questionnaires were collected. Confirmatory Factor Analysis was used to reduce and validate the factors (Attributes). The study identified seven smart tourism technology attributes that influence destination choice, such factors should therefore be considered when designing smart tourism tools aimed to supporting tourist decision making.

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.

A case study of global ULF pulsations using data from space-borne and ground-based magnetometers and a SuperDARN radar

2011 ◽  
Vol 17 (6) ◽  
pp. 54-67
Author(s):  
A.S. Potapov ◽  
◽  
E. Amata ◽  
T.N. Polyushkina ◽  
I. Coco ◽  
...  
Keyword(s):  
Using Data

The Interactional Foundations of Economic Forecasting

2018 ◽  
Author(s):  
Werner Reichmann
Keyword(s):  
Economic Forecasting ◽  
Political Actors ◽  
Social Legitimacy ◽  
Using Data ◽  
Economic Future ◽  
Economic Forecasts ◽  
Epistemic Process

How do economic forecasters produce legitimate and credible predictions of the economic future, despite most of the economy being transmutable and indeterminate? Using data from a case study of economic forecasting institutes in Germany, this chapter argues that the production of credible economic futures depends on an epistemic process embedded in various forms of interaction. This interactional foundation—through ‘foretalk’ and ‘epistemic participation’ in networks of internal and external interlocutors—sharpens economic forecasts in three ways. First, it brings to light new imaginaries of the economic future, allowing forecasters to spot emerging developments they would otherwise have missed. Second, it ensures the forecasts’ social legitimacy. And finally, it increases the forecasts’ epistemic quality by providing decentralized information about the intentions and assumptions of key economic and political actors.

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