42 research outputs found

    Collection and analyses of crowd travel behaviour data by using smartphones

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    In 2010 the MOVE project started in the collection and analysis of crowd behaviour data. The two main goals of the project are first, the collection of data through the use of mobile phones. The second goal is to develop new technologies to process and mine the collected data for crowd behaviour analysis. The technology will allow to make advanced interpretations of historic and dynamic mobile crowd data coming from GSM/GPS and from different classes of users (vehicle, pedestrian, indoor/outdoor). Fusion will be made between data coming from different sources (smartphone, navigation device) and external map data. The interpretation will allow the mining of advanced features/geometry from the crowd data as well as the dynamic (travel) behavior of the population

    Measuring delays for bicycles at signalized intersections using smartphone GPS tracking data

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    The article describes an application of global positioning system (GPS) tracking data (floating bike data) for measuring delays for cyclists at signalized intersections. For selected intersections, we used trip data collected by smartphone tracking to calculate the average delay for cyclists by interpolation between GPS locations before and after the intersection. The outcomes were proven to be stable for different strategies in selecting the GPS locations used for calculation, although GPS locations too close to the intersection tended to lead to an underestimation of the delay. Therefore, the sample frequency of the GPS tracking data is an important parameter to ensure that suitable GPS locations are available before and after the intersection. The calculated delays are realistic values, compared to the theoretically expected values, which are often applied because of the lack of observed data. For some of the analyzed intersections, however, the calculated delays lay outside of the expected range, possibly because the statistics assumed a random arrival rate of cyclists. This condition may not be met when, for example, bicycles arrive in platoons because of an upstream intersection. This justifies that GPS-based delays can form a valuable addition to the theoretically expected values

    Automating actualisation of geographic information using the twofold fuzzy region model

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    In this paper a new method is proposed for automating quality control and actualisation of spatial information using image data. A new model for imperfect geographic information is explored for this purpose: a two fold fuzzy region model; which is an extension of both the fuzzy region model and the egg/yolk model. This model is used to interpret spatial classifications and its imperfections in a new way. By defining different operators on the model an imprecise quality report can be developped for geographic databases that uses the imperfect spatial classification as reference information. The model makes it possible, despite the large amount of imperfection in spatial classifications, to use them for rather accurate error detection on geographic databases

    The 45th Australasian Universities Building Education Association Conference: Global Challenges in a Disrupted World: Smart, Sustainable and Resilient Approaches in the Built Environment, Conference Proceedings, 23 - 25 November 2022, Western Sydney University, Kingswood Campus, Sydney, Australia

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    This is the proceedings of the 45th Australasian Universities Building Education Association (AUBEA) conference which will be hosted by Western Sydney University in November 2022. The conference is organised by the School of Engineering, Design, and Built Environment in collaboration with the Centre for Smart Modern Construction, Western Sydney University. This year’s conference theme is “Global Challenges in a Disrupted World: Smart, Sustainable and Resilient Approaches in the Built Environment”, and expects to publish over a hundred double-blind peer review papers under the proceedings

    Measuring knowledge sharing processes through social network analysis within construction organisations

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    The construction industry is a knowledge intensive and information dependent industry. Organisations risk losing valuable knowledge, when the employees leave them. Therefore, construction organisations need to nurture opportunities to disseminate knowledge through strengthening knowledge-sharing networks. This study aimed at evaluating the formal and informal knowledge sharing methods in social networks within Australian construction organisations and identifying how knowledge sharing could be improved. Data were collected from two estimating teams in two case studies. The collected data through semi-structured interviews were analysed using UCINET, a Social Network Analysis (SNA) tool, and SNA measures. The findings revealed that one case study consisted of influencers, while the other demonstrated an optimal knowledge sharing structure in both formal and informal knowledge sharing methods. Social networks could vary based on the organisation as well as the individuals’ behaviour. Identifying networks with specific issues and taking steps to strengthen networks will enable to achieve optimum knowledge sharing processes. This research offers knowledge sharing good practices for construction organisations to optimise their knowledge sharing processes

    Moving towards the semantic web: enabling new technologies through the semantic annotation of social contents.

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    La Web Social ha causat un creixement exponencial dels continguts disponibles deixant enormes quantitats de recursos textuals electrònics que sovint aclaparen els usuaris. Aquest volum d’informació és d’interès per a la comunitat de mineria de dades. Els algorismes de mineria de dades exploten característiques de les entitats per tal de categoritzar-les, agrupar-les o classificar-les segons la seva semblança. Les dades per si mateixes no aporten cap mena de significat: han de ser interpretades per esdevenir informació. Els mètodes tradicionals de mineria de dades no tenen com a objectiu “entendre” el contingut d’un recurs, sinó que extreuen valors numèrics els quals esdevenen models en aplicar-hi càlculs estadístics, que només cobren sentit sota l’anàlisi manual d’un expert. Els darrers anys, motivat per la Web Semàntica, molts investigadors han proposat mètodes semàntics de classificació de dades capaços d’explotar recursos textuals a nivell conceptual. Malgrat això, normalment aquests mètodes depenen de recursos anotats prèviament per poder interpretar semànticament el contingut d’un document. L’ús d’aquests mètodes està estretament relacionat amb l’associació de dades i el seu significat. Aquest treball es centra en el desenvolupament d’una metodologia genèrica capaç de detectar els trets més rellevants d’un recurs textual descobrint la seva associació semàntica, es a dir, enllaçant-los amb conceptes modelats a una ontologia, i detectant els principals temes de discussió. Els mètodes proposats són no supervisats per evitar el coll d’ampolla generat per l’anotació manual, independents del domini (aplicables a qualsevol àrea de coneixement) i flexibles (capaços d’analitzar recursos heterogenis: documents textuals o documents semi-estructurats com els articles de la Viquipèdia o les publicacions de Twitter). El treball ha estat avaluat en els àmbits turístic i mèdic. Per tant, aquesta dissertació és un primer pas cap a l'anotació semàntica automàtica de documents necessària per possibilitar el camí cap a la visió de la Web Semàntica.La Web Social ha provocado un crecimiento exponencial de los contenidos disponibles, dejando enormes cantidades de recursos electrónicos que a menudo abruman a los usuarios. Tal volumen de información es de interés para la comunidad de minería de datos. Los algoritmos de minería de datos explotan características de las entidades para categorizarlas, agruparlas o clasificarlas según su semejanza. Los datos por sí mismos no aportan ningún significado: deben ser interpretados para convertirse en información. Los métodos tradicionales no tienen como objetivo "entender" el contenido de un recurso, sino que extraen valores numéricos que se convierten en modelos tras aplicar cálculos estadísticos, los cuales cobran sentido bajo el análisis manual de un experto. Actualmente, motivados por la Web Semántica, muchos investigadores han propuesto métodos semánticos de clasificación de datos capaces de explotar recursos textuales a nivel conceptual. Sin embargo, generalmente estos métodos dependen de recursos anotados previamente para poder interpretar semánticamente el contenido de un documento. El uso de estos métodos está estrechamente relacionado con la asociación de datos y su significado. Este trabajo se centra en el desarrollo de una metodología genérica capaz de detectar los rasgos más relevantes de un recurso textual descubriendo su asociación semántica, es decir, enlazándolos con conceptos modelados en una ontología, y detectando los principales temas de discusión. Los métodos propuestos son no supervisados para evitar el cuello de botella generado por la anotación manual, independientes del dominio (aplicables a cualquier área de conocimiento) y flexibles (capaces de analizar recursos heterogéneos: documentos textuales o documentos semi-estructurados, como artículos de la Wikipedia o publicaciones de Twitter). El trabajo ha sido evaluado en los ámbitos turístico y médico. Esta disertación es un primer paso hacia la anotación semántica automática de documentos necesaria para posibilitar el camino hacia la visión de la Web Semántica.Social Web technologies have caused an exponential growth of the documents available through the Web, making enormous amounts of textual electronic resources available. Users may be overwhelmed by such amount of contents and, therefore, the automatic analysis and exploitation of all this information is of interest to the data mining community. Data mining algorithms exploit features of the entities in order to characterise, group or classify them according to their resemblance. Data by itself does not carry any meaning; it needs to be interpreted to convey information. Classical data analysis methods did not aim to “understand” the content and the data were treated as meaningless numbers and statistics were calculated on them to build models that were interpreted manually by human domain experts. Nowadays, motivated by the Semantic Web, many researchers have proposed semantic-grounded data classification and clustering methods that are able to exploit textual data at a conceptual level. However, they usually rely on pre-annotated inputs to be able to semantically interpret textual data such as the content of Web pages. The usability of all these methods is related to the linkage between data and its meaning. This work focuses on the development of a general methodology able to detect the most relevant features of a particular textual resource finding out their semantics (associating them to concepts modelled in ontologies) and detecting its main topics. The proposed methods are unsupervised (avoiding the manual annotation bottleneck), domain-independent (applicable to any area of knowledge) and flexible (being able to deal with heterogeneous resources: raw text documents, semi-structured user-generated documents such Wikipedia articles or short and noisy tweets). The methods have been evaluated in different fields (Tourism, Oncology). This work is a first step towards the automatic semantic annotation of documents, needed to pave the way towards the Semantic Web vision

    Information and Communication Technologies in Tourism 2022

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    This open access book presents the proceedings of the International Federation for IT and Travel & Tourism (IFITT)’s 29th Annual International eTourism Conference, which assembles the latest research presented at the ENTER2022 conference, which will be held on January 11–14, 2022. The book provides an extensive overview of how information and communication technologies can be used to develop tourism and hospitality. It covers the latest research on various topics within the field, including augmented and virtual reality, website development, social media use, e-learning, big data, analytics, and recommendation systems. The readers will gain insights and ideas on how information and communication technologies can be used in tourism and hospitality. Academics working in the eTourism field, as well as students and practitioners, will find up-to-date information on the status of research

    Business Architecture Tool (BAT) : development and assessment of a systems framework to guide organisations from concept to delivery, in terms of creating deeper and meaningful integration across processes and functions

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    This thesis is based upon a prolonged research period, wherein a practical systems based tool (prototype), was researched, developed and tested, so as to gain outputs of integration improvements for service delivery in South Africa (SA) specifically, and in general for developmental economies. The research question can be summarised as: "to develop a systems-based intervention tool, able to provide practical integration improvements from concept to delivery". Existing systems methods and approaches were accessed, and based upon their utility for the local context, were used to varying degrees, in "building" the prototype, which was tested across a number of interventions, categorised under "world of the client"; and "world of the designer" (firm created for this purpose). Being aware of local and international implementation challenges by virtue of experience as consultant for a number of governments, whereby national planning and implementation techniques tend to be embed mechanistic models of thinking directly affecting how agents and agencies: understand the problem; plan to resolve the problem; and implement the designed solutions. The research sought to recover key systems insights in order to build a practical tool that could reduce negative outcomes, perpetrated by well-intended reforms, having limited integrative thinking, planning and delivery. The research required long-term observation, reflection, and extensive literature review. A distinctive feature of the research is the account of the author's exploration of his learning and development, within University of Cape Town PhD: Business Architecture embedded in complexity and systems theory

    A framework for the integration of management systems in organisations

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    During the last decade, the integration of management systems (this includes any management system that is used to achieve the goals of an organisation example PASCAL, ISO standards and enterprise resource planning), has become an increasingly important strategy adopted by organisations, as it represents an alternative to operating with multiple management systems in parallel (Abad, Cabrera & Medina, 2014:860). Despite the established need for the integration of management systems, research on how to carry out integration has yet to be developed fully and an elaborated methodology of integration needs full realisation (Bernardo, Casadesús, Karapetrovic & Heras, 2012; Rocha, Searcy, Karapetrovic, 2007; Wilkinson & Dale, 1999a; Zeng, Shi & Lou, 2007). The aim of the current study was to develop a framework for organisations that could be used for the integration of management systems in a structured manner. This study was undertaken by exploring the views and opinions of senior management through fourteen face-to-face semi-structured interviews. Thereafter, an online survey collected 220 responses from four South African multinational organisations involved with management system development and implementation. The research instrument used a seven-point Likert-type scale for the respondents to rate each question. The data was analysed statistically primarily using factor analysis to confirm the significant factors and then structural equation modelling to test the relationships between the factors, which ultimately confirmed the developed framework. The beneficiaries of this research are primarily organisations that have three or more management systems in an organisation. The framework will also be valuable to management in industry and policymakers since it addresses key integration issues, such as employee performance, organisational culture, employee motivation and policy as factors when considering integration of management systems.Kule minyaka ilishumi idluleyo amaqumrhu aye aphuhlisa ngamandla icebo lobulumko lokuhlanganiswa kweenkqubo zolawulo (kuquka nayiphi na inkqubo yolawulo esetyenziselwa ukufezekisa iinjongo zequmrhu, iinkqubo ezifana nePASCAL, ISO, ne standards and enterprise resource planning). Oku kumele indlela eyenye yokusebenzisa ngaxeshanye iinkqubo zolawulo ezininzi (Abad, Cabrera & Medina, 2014:860). Ngaphandle kokuba siqondakala kakuhle isidingo sokuhlanganisa iinkqubo zolawulo, alukaphuhliswa kakuhle uphando lokuqhuba oko kuhlanganisa (Bernardo, Casadesús, Karapetrovic & Heras, 2012; Rocha, Searcy & Karapetrovic, 2007; Wilkinson & Dale, 1999a; Zeng, Shi & Lou, 2007). Injongo yolu phando kukuphuhlisa isakhelo esinokusetyenziswa ngamaqumrhu ekuhlanganiseni iinkqubo zolawulo ngendlela efanelekileyo. Esi sifundo saqhutywa ngokuphengulula izimvo neengcinga zabaphathi abakwizinga elingentla ngokuqhuba udliwano ndlebe nabaphathi abali-14 nganye nganye. Emva koko kwenziwa intlolomvo kubantu abangama-220 abasebenza kumaqumrhu amane aseMzantsi Afrika, maqumrhu lawo asebenza ngophuhliso nokusetyenziswa kweenkqubo zolawulo. Isixhobo sophando esisetyenzisiweyo sisikali esineencam esisixhenxe esiludidi lweLikert, apho abathathi nxaxheba bebeka esikalini umbuzo ngamnye abawunikiweyo. Iinkcukacha zolwazi zahlalutywa ngobuchule bezobalo, kuqukaniswa iimpendulo ezenza udidi olunye, emva koko kwasetyenziswa indlela yokuhlalutya apho kuphononongwa ukwalamana ngoonobangela neziphumo zemiba ethile, okuthe ekugqibeleni kwaveliswa isakhelo. Abancedakeleyo lolu phando ngamaqumrhu asebenzisa iinkqubo zolawulo ezintathu nangaphezulu. Isakhelo esiphuhlisiweyo siya kuba luncedo kakhulu kubalawuli nabaqulunqi bomgaqo nkqubo, kuba sijolise kwimibandela yokuhlanganisa, efana nendlela abasebenza ngayo abaqeshwa, inkcubeko yequmrhu, ukukhuthazwa kwabasebenzi nemiba emalunga nomgaqo nkqubo oqwalaselwa xa kuhlanganiswa iinkqubo zolawuloKule minyaka eyishumi edlule, ukuhlanganiswa kwezinhlelo zokuphatha (kufaka kukho noma yiluphi uhlelo lokuphatha olusetshenziselwa ukufeza izinhloso zenhlangano, njengePASCAL, amaqophelo e-ISO kanye nokuhlelwa kwezinsiza zebhizinisi), sekuyicebo elibaluleke kakhulu elamukelwa yizinhlangano, njengoba kumele enye indlela yokusebenza nezinhlelo eziningi zokuphatha ngokuhambisanayo (Abad, Cabrera & Medina, 2014: 860). Yize sekubonakale isidingo sokuhlanganiswa kwezinhlelo zokuphatha, ucwaningo lokuthi kuzohlanganiswa kanjani kusamele luthuthukiswe ngokuphelele kanti nendlela ecacile yokuhlanganiswa kumele ifezeke ngokugcwele (Bernardo, Casadesús, Karapetrovic & Heras, 2012; Rocha, Searcy & Karapetrovic, 2007; Wilkinson & Dale, 1999a; Zeng, Shi & Lou, 2007). Inhloso yocwaningo lwamanje bekungukuthuthukisa uhlaka lwezinhlangano olungasetshenziselwa ukuhlanganiswa kwezinhlelo zokuphatha ngendlela ehlelekile. Lolu cwaningo lwenziwe ngokuhlola imibono nemicabango yabaphathi abaphezulu ngokuba nezingxoxo eziyi-14 ezingahlelekile ngokuphelele ezibe khona kuxoxwa ubuso nobuso. Ngemuva kwalokho, ucwaningo olwenziwa ngokuqoqa imininingwane ngobuchwepheshe bekhompuyutha lwaqoqa izimpendulo ezingama-220 ezinhlanganweni ezine zaseNingizimu Afrika ezihlanganise amazwe ahlukene nezibandakanyeka ekusungulweni nasekuqaliseni ukusebenza kohlelo lokuphatha. Kusetshenziswe indlela yokucwaninga yesikali sohlobo lwe-Likert samaphoyinti ayisikhombisa abaphendulayo abakala ngaso umbuzo ngamunye. Imininingwane ihlaziyiwe ngokwezibalo kusetshenziswa ukuhlaziywa kwezinto ngokuqavile ukuqinisekisa izici ezibalulekile bese kulandelwa indlela yokulinganisa ukwakheka ukuhlola ubudlelwano phakathi kwezici, okugcina kuqinisekisa uhlaka olusunguliwe. Abahlomuli balolu cwaningo ngokuqavile yizinhlangano ezinezinhlelo ezintathu noma ngaphezulu zokuphatha enhlanganweni. Uhlaka luzoba wusizo nakubaphathi embonini nakubenzi bezinqubomgomo, njengoba lubheka izingqinamba ezibalulekile zokuhlanganiswa, njengokusebenza kahle kwabasebenzi, isiko lenhlangano, ukukhuthazwa kwabasebenzi kanye nenqubomgomo njengezinto ezibhekwayo uma kucatshangwa ngokuhlanganiswa kwezinhlelo zokuphatha.SBLD.B.L
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