Dissertations / Theses on the topic 'Swan Bay'
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Qin, Wenting. "Application of the spectral wave model SWAN in Delaware Bay." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 4.68 Mb., 130 p, 2005. http://proquest.umi.com/pqdlink?did=1037889341&Fmt=7&clientId=8331&RQT=309&VName=PQD.
Full textTatu, Ketan. "An assessment of impacts of mute swans (Cygnus olor) on submerged aquatic vegetation (SAV) in Chesapeake Bay, Maryland." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4504.
Full textTitle from document title page. Document formatted into pages; contains xvi, 161 p. : ill. (some col.), maps (some part col.). Includes abstract. Includes bibliographical references.
Jessop, Rosalind Elinor, and mikewood@deakin edu au. "The ecology of fish inhabiting the inter-tidal zone of Swan Bay, Victoria, Australia." Deakin University. School of Sciences, 1988. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20050826.121023.
Full textVan, der Westhuysen A. J. "The application of the numerical wind wave model SWAN to a selected field case on the South African coast." Thesis, Link to the online version, 2002. http://hdl.handle.net/10019.1/3632.
Full textDixon, Henry David John. "Effect of black swan foraging on seagrass and benthic invertebrates in western Golden Bay : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Ecology, Massey University, Palmerston North, New Zealand." Massey University, 2009. http://hdl.handle.net/10179/1214.
Full textRandall, Michael J. "BEST MANAGEMENT PRACTICES EFFECTIVENESS TO REDUCE SEDIMENT TRANSPORT TO MORRO BAY." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/740.
Full textWagena, Moges Berbero. "Quantifying the Impact of Climate Change on Water Availability and Water Quality in the Chesapeake Bay Watershed." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/82420.
Full textPh. D.
Xu, Yuelu. "Essays on Water Quality Management for the Chesapeake Bay Watershed." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/96943.
Full textDoctor of Philosophy
Two considerations are critical for efforts to mitigate nutrient runoff from nonpoint sources: cost effectiveness of strategies to reduce nutrient runoff and landowners' incentives to participate in these programs. This dissertation is composed of three manuscripts, aiming to evaluate the cost effectiveness of government subsidy programs for water quality management in agriculture and investigate the landowner's incentives to participate in water quality trading programs for the Chesapeake Bay watershed. Chapter 1 investigates gains from targeting Best Management Practices (BMPs) under current and future climate conditions based on the soil characteristics relative to uniform BMP application for a small experimental watershed (4.23km2). Chapter 2 scales up the study area to a 71,000 km2 watershed and treats each county within the watershed as a representative farm to explore economic gains from targeting within county and across county based on counties' physical conditions and agricultural patterns. Both Chapters show that cost-effectiveness of government subsidy programs can be improved by spatial targeting BMPs to areas with lower abatement costs. Gains from targeting increase under climate change. In Chapter 3 we shows how a landowner's revenues from nutrient credit selling will be affected if the credits are allowed to be banked for future use when she faces price uncertainty. We find that gains to the landowner from credit banking increase more with higher price volatility than with higher price drift. Gains from banking are largely reduced by transaction costs associated with trading.
Bláha, David. "Měření charakteristik zkrutných tyčí a stabilizátorů." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-231245.
Full textNguyen, Hong Quang, Thi Thu Hang Le, Thi Thanh Nga Pham, and Martin Kappas. "Modelling surface runoff and soil erosion for Yen Bai Province, Vietnam, using the Soil and Water Assessment Tool (SWAT)." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-227939.
Full textNhững ứng dụng của mô hình công cụ đánh giá đất và nước (SWAT) đã được sử dụng phổ biến. Tuy nhiên có rất ít nghiên cứu tập trung vào khu vực nhiệt đới như tỉnh Yên Bái của Việt Nam. Trong nghiên cứu này, giá trị trung bình năm (2001-2012) nước chảy bề mặt (NCM) và xói mòn đất do nước (XM) đã được đánh giá trên cơ sở mô hình SWAT. Các thông số thủy văn của hai lưu vực sông là Nậm Kim và Ngòi Hút được tính toán và kiểm nghiệm với sự trùng hợp tương đối tốt giữa kết quả mô hình và số liệu thực đo. Mối liên hệ giữa lượng mưa, phủ bề mặt, NCM và XM cũng được phân tích và trình bầy chi tiết. Mặc dù giá trị XM năm được ước lượng ở mức trung bình cho toàn Tỉnh (4,1 tấn/ha/năm) nhưng ở một số khu vực nơi có độ dốc lớn và phủ mặt ít lại có lượng XM năm ở mức cao, 26 tấn/ha/năm và 15% tổng diện tích của Tỉnh có giá trị XM là 8,5 tấn/ha/năn. Kết quả nghiên cứu cho thấy sự liên hệ mật thiết giữa sự thay đổi phủ mặt tới giá trị XM. Trên cơ sở kết quả kiểm nghiệm mô hình khả quan, chúng tôi đề xuất sử dụng mô hình SWAT để đánh giá XM trong thời gian dài cho vùng nhiệt đới
Dupuis, Keith Wade. "Wind-wave measurements in a shallow estuary: Trinity Bay, Texas." 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1175.
Full textMafunzwaini, Mashudu Mercy. "Self-reported competence of newly qualified professional nurses in specific midwifery skills." Diss., 2019. http://hdl.handle.net/10500/25718.
Full textThe purpose of this study was to determine the self-reported competence of newly qualified professional nurses on the critical midwifery skills. The study was conducted in the four public hospitals designated for community service in Gauteng Province. A quantitative descriptive design was used with a structured self-report questionnaire as data collection instrument. Non-probability convenience sampling was used for the study. The sample size was eighty-four newly qualified professional nurses. The Stata 15 software was used for statistical analyses. The researcher used descriptive statistics to describe and synthesize the collected data. The findings revealed that most newly qualified professional nurses had no knowledge in identifying different types of decelerations, management of late and variable decelerations, but had knowledge in most of the skills related to management of third stage of labour.
Maikemišetšo a dinyakišišo tše e be e le go hwetša bokgoni bja go ipega ka nnoši bja baoki bao ba ithutetšego profešene ya booki ka go bokgoni bjo bohlokwa bja pelegišo. Dinyakišišo di dirilwe dipetleleng tše nne tša bohle tšeo di kgethetšwego tirelo ya setšhaba ka Profenseng ya Gauteng. Khwanthitheitif diskriptif disaene ‘Quantitative descriptive design’ e dirišitšwe gammogo le lenaneopotšišo leo le beakantšwego la go ipega ka nnoši ‘structured self-report questionnaire’ bjalo ka sedirišwa sa go kgoboketša bohlatsi. “Non-probability convenience sampling” e dirišitšwe mo go kgetheng banyakišišwa. Bogolo bja sešupo e be e le baoki ba masomeseswai-nne ba baswa bao ba ithutetšego profešene ya booki. “Stata 15 software” e dirišitšwe tshekatshekong ya dipalopalo. Monyakišiši o dirišitše dipalopalo tša tlhalošo ‘descriptive statistics’ go hlaloša le go kopanya ‘data’ yeo e kgobokeditšwego. Ditšweletšo di utollotše gore bontši ba baoki ba baswa bao ba ithutetšego profešene ya booki ga ba na le tsebo ya go hlatha mehuta yeo e fapanego ya diphokotšo, taolo ya diphokotšo tša morago le tša go fetoga, efela ba na le tsebo ka go bokgoni bjo bontši bjoo bo amanago le taolo ya kgato ya boraro ya lešoko.
Ndivho ya ngudo iyi yo vha u wanulusa nḓivho ya vhukoni ha iwe muṋe ya vhaongi vhaswa vha kha ḓi bvaho u phasa vhuongi uri vha na zwikili zwa ndeme zwa vhuongi vhubebisi u swika ngafhi. Ngudo iyi yo itwa kha zwibadela zwiṋa zwa muvhuso zwo ṋewaho u isa tshumelo zwitshavhani kha vunḓu ḽa Gauteng. Kha u kuvhanganya mafhungo muṱoḓisi o shumisa ngona ya u ṱalutshedza ya khwanthithethivi ho ṱanganyiswa na mbudziso dzo dzudzanyiwaho dzi bviselaho khagala kha iwe muṋe (structured self-report questionnaire). Vhunanguludzi ho shumiswaho kha ngudo iyi ho vha “Non-probability convenience”. Tshivhalo tsha vhashelamulenzhe vho nanguludzwaho tsho vha vhaongi vhaswa vha kha ḓibvaho u phasa vha fumalo ina. “The Stata 15 software” ndi tshishumiswa tsho shumiswaho kha u sengulusa mafhungo o kuvhanganywaho. Muṱoḓisisi o shumisa zwisiṱatisitika zwa u ṱalutshedza kha u ṱalutshedza na u dzudzanya mafhungo o kuvhanganyiwaho. Ngudo iyi yo bvisela khagala uri vhunzhi ha vhaongi vhaswa vha kha ḓi bvaho u phasa a vha na nḓivho ya u vhona tshaka dzo fhambanaho dza kurwele kwa mbilu ya ṅwana na u langa u lenga ha u rwa ha mbilu ya ṅwana zwo katela na u sa dzudzanyea fhethu huthihi ha kurwele kwa mbilu ya ṅwana, honeha vha na nḓivho ya zwikili zwi yelanaho na vhulanguli ha tshipiḓa tsha vhuraru tsha u beba.
Xikongomelo xa ndzavisiso lowu i ku kuma vuswikoti lebyi munhu a byi twisisaka hi vaongori lava ha ku thwaselaka tidyondzo ta vuongori eka swikili swa nkoka hi vusungukati. Ndzavisiso lowu wu endliwile eka swibedlhele swa mune swa mani na mani leswi yisaka vukorhokeri evanhwini eka Phurovhinsi ya Gauteng, laha ku tirhisiweke maendlelo ya tinhlayo lama hambanaka na swivutiso ku hlengeleta timhaka. Ku tirhisiwile xiphemu xo karhi xa vanhu ku kuma vuxokoxoko hi mayelano na vona hinkwavo. Xiphemu lexi tirhisiweke i xa nhlayo ya vaongori vo ringana makumenhungu-mune wa vaongori lawa ha ku thwaselaka tidyondzo ta vuongori. Ku tirhisiwile “stata software” ku hlela tinhlayo leti tirhisiweke. Mulavisisi u tirhisile tinhlayo, tinhlayonhlamuselo ku hlamusela no katsakanya mahungu lama a ma hlengeleteke. Leswi kumiweke swi paluxa leswaku vunyingi bya vaongori lava ha ku thwaselaka tidyondzo ta vuongori va hava vutivi byo hambanisa mabelo ya mbilu, ku hlawula ku hlwela no hambana ka mabelo ya mbilu, kambe va na vutivi eka swikili mayelana no lawula xiyimo xa vunharhu xo lumiwa.
Health Studies
M.A. (Nursing)
Hlongoane, Moses Thabang. "Financial accountability and reporting by governing bodies of public schools in South Africa." Diss., 2019. http://hdl.handle.net/10500/25911.
Full textThis study was about the lack of uniform financial reporting guidelines to be used by South African School Governing Bodies (SGBs) in preparing their financial statements and financial records, which resulted in the inconsistencies and the lack of comparability in the financial statements of section 21 schools. The researcher aimed to develop recommended practice guidelines to be used by SGBs of public schools in South Africa when preparing their financial statements. The research was conducted through a qualitative approach using document analysis, supplemented by individual interviews. Provincial guidelines and selected schools’ financial statements were analysed. Schools’ principals, finance officers, auditors, School Governing Body treasurers, as well as districts officials were interviewed. The participants were selected using a purposive sampling method. Without generalising, the findings revealed that the existing provincial guidelines as well as the financial statements of the selected schools, are not consistent. The inconsistencies affect the comparability of the financial information negatively and that may also have negative impact on the reliability of financial information. The findings from the interviews, supported by the literature review, revealed that there is a need for uniform guidelines in terms of preparation of schools’ financial statements. The findings also revealed that the majority of SGBs opt for the examination of accounting records and financial statements instead of the audit thereof. Recommended practice guidelines were developed using information acquired through the literature review and the data acquired through document analysis and interviews. The study recommended amongst others that a further study be conducted on the effectiveness of financial management training in addressing the financial reporting challenges of South African public schools and whether the examination (instead of audit) of schools’ financial records and financial statements should still be acceptable.
Thutopatlisiso eno e batlisisitse go tlhokagala ga kaedi e e tshwanang ya dipegelo tsa ditšhelete e e ka dirisiwang ke Makgotlataolo a Dikolo tsa Aforikaborwa (diSGB) fa a baakanya dikanego tsa ona tsa ditšhelete mmogo le direkoto tsa ditšhelete, e leng se se bakileng gore go se nne le go tsamaelana le tlhaelo mo ntlheng ya tshwantshanyego ya dikanego tsa ditšhelete tsa dikolo tsa Karolo 21. Maikaelelo a mmatlisisi e ne e le go tlhama kaedi e e tlaa atlenegisiwang ya tiriso e e tlaa dirisiwang ke diSGB tsa dikolo tsa setšhaba mo Aforikaborwa fa di baakanya dikanego tsa tsona tsa ditšhelete. Thutopatlisiso e dirilwe ka mokgwatebo o o lebelelang mabaka go dirisiwa tshekatsheko ya dikwalo, e tshegediwa ke dipotsolotso tsa batho bongwe ka bongwe. Go sekasekilwe kaedi ya porofense le dikanego tsa ditšhelete tsa dikolo tse di tlhophilweng. Go botsoloditswe bagokgo ba dikolo, batlhankedi ba ditšhelete, baruni, batshwaratlotlo ba Makgotlataolo a Dikolo, gammogo le batlhankedi ba dikgaolo. Bannileseabe ba tlhophilwe ka go dirisa mokgwa wa go tlhopha sampole ka maikaelelo. Kwa ntle ga go akaretsa, diphitlhelelo di bontshitse gore kaedi ya ga jaana ya porofense gammogo le dikanego tsa ditšhelete tsa dikolo tse di tlhophilweng, ga di tsamaelane. Go tlhoka go tsamaelana go ama go tshwantshanyega ga tshedimosetso ya ditšhelete ka tsela e e bosula mme seo se ka ama go ikanyega ga tshedimosetso ya ditšhelete. Diphitlhelelo go tswa mo dipotsolotsong, di tshegediwa ke tshekatsheko ya dikwalo, di senotse gore go na le tlhokego ya gore go nne le kaedi e e tshwanang malebana le go baakanngwa ga dikanego tsa ditšhelete tsa dikolo. Gape bontsi jwa diSGB bo itlhophela gore go tlhatlhobiwe direkoto tsa palotlotlo le dikanego tsa ditšhelete go na le gore di runiwe. Go tlhamilwe kaedi ya tiro e e atlenegisiwang go dirisiwa tshedimosetso e e bonweng ka tshekatsheko ya dikwalo le data e e bonweng mo tshekatshekong ya dikwalo le dipotsolotso. Thutopatlisiso e atlenegisitse, gareng ga tse dingwe, gore go nne le thutopatlisiso e nngwe ya nonofo ya katiso ya botsamaisi jwa ditšhelete malebana le go samagana le dikgwetlho tsa dipegelo tsa ditšhelete mo dikolong tsa setšhaba tsa Aforikaborwa gammogo le go bona gore a tlhatlhobo (go na le boruni) ya direkoto tsa ditšhelete le dikanego tsa ditšhelete tsa sekolo e sa ntse e tshwanetse go amogelesega
Ndzavisiso lowu wu lavisise hi makombandlela ya ndlela yo fanana yo endla xiviko xa swa timali leswi swi faneleke ku tirhisiwa hi va Tihuvo ta Vufambisi bya Swikolo eAfrika Dzonga ku nga South African School Governing Bodies (SGBs) ku lulamisela switatimende swa timali na tirhekhodo ta timali, leswi nga vangela leswaku ku va na mafambiselo yo ka ya nga fanani na ku va swilo swi nga pimanyiseki kahle eka switatimende swa timali eka swikolo swa Xiyenge 21. Muendli wa ndzavisiso u ve na xikongomelo xa ku endla xibumabumelo hi maendlelo na makombandlela lama ya faneleke ku tirhisiwa hi ti-SGB ta swikolo swa mfumo eAfrika Dzonga, loko swi lulamisa switatimende swa timali. Ndzavisiso wu endliwe hi ku landza fambiselo ra qualitative hi ku xopaxopa tidokumente, ku tlhela ku endliwa na mimburisano ya ti-interview na vanhu hi wun'we-wun'we. Makombandlela ya xifundzhankulu na switatimende swa timali swa swikolo swi xopaxopiwile. Ku endliwe mimburisano ya ti-interview na tinhloko ta swikolo (vaprinsipala), vaofisara va swa timali, vakamberi va swa timali (ti-odithara), vatameri va minkwama ya Tihuvo ta Vufambisi bya Swikolo (School Governing Body treasurers) xikan'we na vaofisara va tidistriki na vona ku endliwe mimburisano ya ti-interview na vona. Vokhoma-xiave va hlawuriwe hi ku tirhisa fambiselo ra sampuli ya xikongomelo ku nga purposive sampling method. Handle ko navisa vuyelo eka hinkwavo, vuyelo byi kume leswo makombandlela ya xifundzhankulu na switatimende swa timali eka swikolo swo karhi, a swi fanani. Ku hambana swi endla leswo ku nga vi na ku fambelana na ku pimanyiseka ka vutivi bya swa timali, na swona swi na vuyelo byo ka byi nga ri kahle na ku tshembeka eka vutivi bya swa timali. Vuyelo eka mimburisano ya ti-interview, hi ku seketeriwa hi ku hlayiwa ka matsalwa, swi kombise leswo ku na xilaveko xa makombandlela ya ku fanana hi ku landza ku lulamisiwa ka switatimende swa ta timali lomu swikoleni. Vunyingi bya ti-SGB byi endla na nkambelo kunene wa tirhekhodi ta timali na switatimende swa timali ku tlula ku lava leswo ku endliwa nxopanxopo lowu fambisanaka na ku xopaxopa vumbhoni bya swa matirhiselo ya timali ku nga auditing ya tibuku ta timali. Makombandlela lama ya bumabumeriwaka ya endliwe hi ku tirhisa vutivi lebyi nga kumeka eka ku hlayiwa ka matsalwa na data leyi nga kumeka hi ku xopaxopa tidokumente na mimburisano ya ti-interview. Ndzavisiso wu bumabumela, exikarhi ka swin'wana leswo ku endliwa ndzavisiso wun'wana hi ku tirheka ka vuleteri bya mafambiselo ya swa timali eka ku langutana na mintlhontlho leyi nga kona hi ku vika hi swa timali eswikolweni swa mfumo eAfrika Dzonga, no kumisisa leswo xana nkambelo kunene (ku nga ri nxopanxopo lowu xopaxopaku na vumbhoni ku nga auditing) ya tirhekhodo ta timali na switatimende swa timali swa ha fanela ku amukeriwa xana
College of Accounting Sciences
D. Phil. (Accounting Sciences)
Maluleke, Richard. "A pedagogy for technology education : an indigenous perspective." Thesis, 2019. http://hdl.handle.net/10500/26249.
Full textKu yisa emahlweni dyondzo yo vona swilo hi tihlo ra Xiafrika, i mhaka leyi nga le mahlweni eAfrika. Ndzavisiso lowu wu na xikongomelo xa ku vona ndzima ya vutivi bya ndhavuko ku nga indigenoous knowledge (IK) eka nhluvuko wa vadyondzi va xiyimo xa le henhla hi swikili swa dizayini ya dyondzo ya theknoloji ku nga Technology Education (TE). Ndzavisiso wu leteriwe hi constructivist theory, leyi yi seketeriweke hi mianakanyo kumbe vonelo ra leswo dyondzo leyi vanhu va taka na yona ya khale (prior learning) yi nga tlanga ndzima eku dyondzeni. Loko ku dyondziwa leswintshwa eka klasi ya TE, vadyondzi va nga vuyeriwa hi ku landza ntokoto wa vona wa masiku eku kumeni tinhlamuselo. Swikolo swinharhu eka distriki ya Vhembe eka Xifundzhankulu xa Limpopo swi ve na xiavo eka ndzavisiso lowu. Xikongomelo xa thekniki ya ku endla sampuli xi tirhisiwe ku langa mathicara ya Technology, tinhloko ta tindzhawulo, vatokoti va TE, vadyondzi na vatswari eka swikolo leswi va ve na xiavo eka ndzavisiso. Ku hlengeletiwe data eka munhu hi wun'we wun'we na le ka mintlawa ya xikongomelo lexi hi ku endla mimburisano ya ti-interview, ku xiyaxiya leswi swi endliwaka hi vateki va xiavo na nxopanxopo wa tidokumente na swilo leswi swi endliweke hi mavoko (artifacts). Vuyelo bya ndzavisiso byi kombe leswo IK yi nga pfuneta ku twisisa ka vadyondzi na ku kuma swikili swa dizayini. Kambe, ndzavisiso lowu wu kombise leswo ku katsiwa ka IK swi nga kavanyetiwa hi swilo swo fana na ku tsandzeka ka mathicara ku tirhisa swiendliwa swa mavoko swa ndhavuko, ku tirhisiwa ka tindlela to ka ti nga cinciwi ta nkambelo, na mianakanyo leyi nga ri ku leyinene mayelana na ndlela ya madyondziselo na IK. Ndzavisiso lowu ekuheteleleni wu pfunete fambiselo ra leswi vuriwaka indigenous knowledge-based design process (IKBDP). Hi ku hambana na fambiselo ra ntolovelo, IKBDP yi na ntamo wo cinca madyondziselo ya TE, no pfuneta ku amukela IK no angarhela vadyondzi lava va humaku eka fambiselo ra vutivi bya ndhavuko.
Tsweletso ya thuto ya Seaforika ke ntlha e e tsweletseng ga jaana mo Aforika. Maikaelelo a thutopatlisiso e ne e le go lebelela seabe sa kitso ya tshimologo (IK) mo tlhabololong ya bokgoni jwa thadiso jwa barutwana ba Legato le Legolwane mo Thutong ya Thekenoloji (TE). Thutopatlisiso e kaetswe ke tiori e e elang tlhoko ka moo batho ba ikagelang bokao ka gona (constructivist theory), e e ikaegileng ka mogopolo wa gore thuto e e ntseng e le gona e ka nna le seabe mo go ithuteng. Fa barutwana ba ithuta dilo tse dintšhwa mo phaposiborutelong ya TE, ba ka ungwelwa go tswa mo maitemogelong a bona go bona bokao. Dikolo di le tharo go tswa kwa kgaolong ya Vhembe kwa Porofenseng ya Limpopo di nnile le seabe mo thutopatlisisong eno. Go dirisitswe thekeniki ya go tlhopha sampole go ya ka maitlhomo a thutopatlisiso go tlhopha barutabana ba Thekenoloji, ditlhogo tsa mafapha, baitseanape ba TE, barutwana le batsadi go tswa kwa dikolong tseno go nna le seabe mo thutopatlisisong. Data e kokoantswe ka tsela ya go dirisa dipotsolotso tsa batho bongwe ka bongwe le ditlhopha tse di tlhophilweng, go ela bannileseabe tlhoko le tshekatsheko ya dikwalo le dilwana tsa tiro ya diatla. Diphitlhelelo di senotse gore IK e ka oketsa go tlhaloganya ga barutwana le go iponela bokgoni jwa go thadisa. Le fa go le jalo, thutopatlisiso eno e senotse gore go akarediwa ga IK go ka sitisiwa ke dintlha di tshwana le fa barutabana ba sa kgone go dirisa dilwana tsa tiro ya diatla tsa tshimologo, tiriso ya mekgwa ya tlhatlhobo e e sa farologanang, le megopolo e e sa siamang e e lebisiwang kwa katisong e e maleba mo setsong le IK. Kwa bokhutlong, thutopatlisiso eno e tshwaetse ka thulaganyo ya thadiso e e ikaegileng ka kitso ya tshimologo (IKBDP). Go farologana le mokgwa wa tlwaelo, IKBDP e na le kgonagalo ya go ka fetola go rutwa ga TE, mme ka go rialo e lemoga IK le go akaretsa barutwana ba ba nang le lemorago la tsa tshimologo.
Curriculum and Instructional Studies
D. Ed. (Curriculum Studies)
Moyana, Hlengani Jackson. "A hybrid framework for assessing the cost of road traffic crashes in South Africa." Thesis, 2019. http://hdl.handle.net/10500/25934.
Full textMitlumbo ya mifambafambo ya le magondzweni i xin’wana xa miringeto (risks) yo biha ku tlula hinkwayo ya swifambo swa le gondzweni emisaveni hinkwayo, leswi yimelaka xiphiqo lexikulu xa swohanyaswin’we-ikhonomi ngopfu-ngopfu eka matiko lama ya ha hluvukaka tanihi Afrika-Dzonga. Ku va ku nyikiwa masungulo yo tiya ya xiikhonomi eka swiboho swa mbekiso ku tirhana na ntlhontlho lowu, i swa nkoka swinene ku hlela ndhurho wa mitlumbo leyi. Mipimanyeto leyi yi tirha tanihi nxopaxopo wa swinghenisiwa swa mbuyelo wa ndhurheriwo ku endlela ku kuma mphakelo wa switirhisiwa wo tirha kahle eka ku nghenelela eka ku tirhana na mitlhontlho leyi vangiwaka hi mitlumbano ya le magondzweni. Tiko ra Afrika-Dzonga a ri nga ri ku pfuxeteni ka mahungu ya mipimanyeto ya midurho ya mitlumbano ya le magondzweni nkarhi na nkarhi, naswona leyi a yi endliwa a yi tirhisa maendlelo lamo soriwa ngopfu yo languta nkoka wa vanhu (human capital). Hikwalaho, mipimanyeto leyi nga kona a yi nga ta va leyi tshembekaka eka ku kunguhata na ku pimaniseka na mipimanyeto ya matiko man’wana. Hi le ka ku landzelela vundzhaku lebyi laha dyondzo leyi yi nga tumbuluka na ku kombisa matirhiselo ya rimba ra ntirho wo katsa (hybrid) ku kambela ndhurho wa mitlumbo ya swifambo swa le magondzweni eAfrika-Dzonga. Rimba leri ri tirhisa endlelo ro kongomisa eka nkoka wa vanhu na ku pfumela ku hakela (willingness-to-pay), eka dyondzo yi ri yin’we. Mipimanyeto ya midurho ya nkoka wa vanhu ya laveka ku va yi pfuna eka ku kunguhata leswaku yi tlakusa swinenenene swihumesiwa swa rixaka, loko hala tlhelo mipimanyeto yo pfumela ku hakela yona yi ri yona yi fanelaka swinene eka ku pfuneta minghenelelo yo tlakusa nhlayiseko wa vanhu hi ku hunguta ku vaviseka na ku fa. Endlelo ro pfumela ku hakela ri tirhisa maendlelo ya swo ka swi nga ri swa makete (contingent valuation) na ya maendlelo yo langa (preference). Khwexinere yo valanga leyi a yi ri na maendlelo yo ka ya nga ri ya swa makete na swilangiwa leswi a swi boxiwile, yi tirhisiwile hi magoza mambirhi ku sampula vaanguri va 273 eka ntirho wa swo tleketla. Eka mhaka ya endlelo ro kongomisa eka nkoka wa vanhu, mipimanyeto ya ndhurho eka xiviko xa 2016 xa Cost of Crashes in South Africa yi hundzuluxiwile hi ku katsa inifulexini, ku tirhisiwa mpimo wa 2017 wa 5.3% ku kuma mipimanyeto ya ndhurho ya 2017. Dyondzo leyi yi paluxile leswaku endlelo ro kongomisa eka nkoka wa vanhu ri kayiveta ku vona ndhurho wa mitlumbo ya le magondzweni. Dyondzo leyi yi hoxa xandla eka ntsengo wa vutivi hi ku tirhisa endlelo ro languta nkoka wa vanhu na endlelo ro pfumela ku hakela eka dyondzo yi ri yin’we ku kombisa ntirhiseko wa endlelo leri ra nkatso (hybrid)/nhlanganiso eka xiyimo xa Afrika-Dzonga. Ndzavisiso wa nkarhi lowu taka wu fanele ku engeta dyondzo leyi hi sampulu leyi humaka eka swifundzakulu hinkwaswo swa nkaye swa Afrika-Dzonga, leswaku mipimanyeto ya ndhurho yi yimela vanhu va tiko hinkwaro.
Road traffic crashes are one of the worst risks of road mobility worldwide, representing a huge socio-economic problem particularly in developing countries such as South Africa. In order to provide a sound economic basis for investment decisions to address this challenge, it is critical to assess the cost of these crashes. These estimates serve cost-benefit analysis inputs to facilitate a more efficient resources allocation for interventions to address the challenge posed by road crashes. South Africa has not been updating crash cost estimates on a regular basis, and those that were conducted used the much criticised human capital approach. Therefore, the available estimates could not be relied upon for planning purposes and comparison with the estimates of other countries. It is against this background that this study developed and illustrated the application of a hybrid framework for assessing the cost of road traffic crashes in South Africa. The framework uses the human capital approach and the willingness-to-pay approach in one study. Human capital approach cost estimates are needed to inform planning to maximize the national output, while the willingness-to-pay estimates are more suitable when the main concern is to inform interventions to increase social welfare by reducing injuries and fatalities. The willingness-to-pay approach uses the contingent valuation and the stated preference methods. A survey questionnaire with contingent valuation and stated preference questions was administered in two phases to a sample of 273 respondents within the transport industry. For the human capital approach, the cost estimates in the 2016 Cost of Crashes in South Africa report were adjusted for inflation using the 2017 rate of 5.3% to obtain 2017 cost estimates. This study revealed that the human capital approach underestimates the cost of road crashes. The study contributes to the body of knowledge by using the human capital approach and the willingness-to-pay approach in one study to illustrate the applicability of this hybrid/ combination within the South African context. Future research needs to replicate this study on a sample drawn from all nine provinces of South Africa, so that the cost estimates are representative of the country’s population.
Ukuphazamiseka komgwaqo kungenye yezingozi ezimbi kakhulu zokuhamba komgwaqo emhlabeni jikelele, ezimele inkinga enkulu yenhlalo nezomnotho ikakhulukazi emazweni asathuthuka njengeNingizimu Afrika. Ukuze unikeze isisekelo sezomnotho esizwakalayo ezinqumeni zokutshala izimali ukubhekana nale nselele, kubalulekile ukuhlola izindleko zalezi zingozi. Lezi zilinganiso zisebenza njengeziphakamiso zokuhlaziywa kwezindleko zokuhlomula ukuze kube lula ukunikezwa kwezinsiza ezenzelwe ukuxazulula inselele ebangelwa ukuphazamiseka komgwaqo. INingizimu Afrika ayizange ibuyekeze ukulinganisa izindleko zezingozi njalo, futhi lezo ezenziwa zisebenzise indlela enkulu yokugxeka ukusebenzisa abantu. Ngakho-ke, izilinganiso ezitholakalayo azikwazanga ukuthenjelwa kuzona ngezinjongo zokuhlela nokuqhathaniswa nezilinganiso zamanye amazwe. Lokhu kuphikisana nalesi sigaba ukuthi lolu cwaningo lusungulwe futhi luboniswe ukusetshenziswa kohlaka oluxubile lokuhlola izindleko zokuphazamiseka komgwaqo eNingizimu Afrika. Uhlaka lusebenzisa indlela yokusebenzisa abantu kanye nendlela yokuzimisela-ukukhokha ocwaningweni olulodwa. Ukulinganiselwa kwezindleko zokusebenzisa abantu kuyadingeka ukuze kwaziswe ukuhlela ukwandisa umkhiqizo kazwelonke, kanti ukulinganiselwa kokuzimisela-ukukhokhela kukulungele kakhulu ukwazisa ukungenelela ukwandisa inhlalakahle yomphakathi ngokunciphisa ukulimala nokubulawa kwabantu. Indlela yokuzimisela-ukukhokha isebenzisa ukuhlaziywa kwesilinganiso kanye nezindlela okukhethwa ngazo. Imibuzo yokuhlola ngokuhlaziywa kwesilinganiso kanye nemibuzo ekhethwe ngayo yenziwa ngezigaba ezimbili embonakalisweni yabaphendulile abangama-273 embonini yezokuthutha. Ngokwendlela yokusebenzisa abantu, izindleko ezilinganiselwa ku-2016 Izindleko Zokushayisana eNingizimu Afrika kubikwa ukuthi zalungiselwa ukwenyuka kwamandla emali, kusetshenziswa isilinganiso sango-2017 esingu-5.3% ukuthola izindleko zango-2017. Lolu cwaningo luveze ukuthi indlela yokusebenzisa abantu ithatha kancane izindleko zokuphazamiseka komgwaqo. Ucwaningo lunomthelela emzimbeni wolwazi ngokusebenzisa indlela yokusebenzisa abantu kanye nendlela yokuzimisela-ukukhokha ocwaningweni olulodwa ukukhombisa ukufaneleka kwalesi sivumelwano / inhlanganisela ngaphakathi komongo waseNingizimu Afrika. Ucwaningo lwesikhathi esizayo ludinga ukuphindaphinda lolu cwaningo embonakalisweni othathwe kuzo zonke izifundazwe eziyisishiyagalolunye zaseNingizimu Afrika, ukuze ukulinganiswa kwezindleko kummele abantu bezwe
Business Management
D. Phil. (Management Studies)