{"doc_desc":{"title":"zaf-statssa-dts-2016-v1.1","producers":[{"name":"DataFirst","abbreviation":"","affiliation":"University of Cape Town","role":"Metadata producer"}],"prod_date":"2020-05-06","version_statement":{"version":"Version 1"}},"study_desc":{"title_statement":{"idno":"zaf-statssa-dts-2017-v1","title":"Domestic Tourism Survey 2017","alt_title":"DTS 2017"},"authoring_entity":[{"name":"Statistics South Africa","affiliation":"Government of South Africa"}],"distribution_statement":{"contact":[{"name":"DataFirst Helpdesk","affiliation":"University of Cape Town","email":"support@data1st.org","uri":"http:\/\/support.data1st.org\/"}]},"series_statement":{"series_name":"Household Survey [hh]","series_info":"Statistics South Africa. Domestic Tourism Survey 2017 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2018. Cape Town: DataFirst [distributor], 2020. DOI: https:\/\/doi.org\/10.25828\/aqs9-0q52"},"version_statement":{"version":"v1: anonymised for public distribution","version_date":"2018-09-13","version_notes":"Version 1 of the Domestic Tourism Survey 2017 was downloaded from Stats SA in Oct 2019"},"study_info":{"keywords":[{"keyword":"Transport","vocab":"","uri":""},{"keyword":"Travel","vocab":"","uri":""},{"keyword":"tourism","vocab":"","uri":""},{"keyword":"domestic","vocab":"","uri":""}],"abstract":"The DTS is a large-scale household survey aimed at collecting accurate statistics on the travel behaviour and expenditure of South African residents travelling within the borders of the country. Such information is crucial when determining the contribution of tourism to the South African economy, as well as helping with planning, marketing, policy formulation, and the regulation of tourism-related activities.","coll_dates":[{"start":"2017-01-01","end":"2017-12-31","cycle":""}],"nation":[{"name":"South Africa","abbreviation":"zaf"}],"geog_coverage":"The survey had national coverage","geog_unit":"The lowest level of geographic aggregation covered by the data is municipality.","analysis_unit":"Households and individuals","universe":"The target population of the survey consists of all private households and residents in workers' hostels in the nine provinces of South Africa. The survey does not cover other collective living quarters such as students' hostels, old age homes, hospitals, prisons and military barracks.","data_kind":"Sample survey data","notes":"The following information was collected: Domestic day and overnight trips undertaken; Trips undertaken by respondents and trips by other household members without the respondent accompanying them; Profile of the most recent day\/overnight domestic trips undertaken both by the respondent and other household members (detailing information on destination, trip length, purpose of visit, accommodation, transport, activities, trip expenditure, etc.) and Socio-demographics."},"method":{"data_collection":{"data_collectors":[{"name":"Statistics South Africa","abbreviation":"statssa","affiliation":"Government of South Africa"}],"sampling_procedure":"The sample design for the DTS 2018 was based on a Master Sample (MS) that has been designed for all household surveys conducted by Statistics South Africa. \n\nThe Master Sample used a two-staged, stratified design with probability-proportional-to-size (PPS) sampling of PSUs from within strata, and systematic sampling of dwelling units (DUs) from the sampled primary sampling units (PSUs). A self-weighting design at provincial level was used. Stratification was done in two stages: Primary stratification was defined by metropolitan and non-metropolitan geographic area type. During secondary stratification, the Census 2011 data were summarised at PSU level. The following variables were used for secondary stratification: household size, education, occupancy status, gender, industry and income","coll_mode":"Face-to-face [f2f]","research_instrument":"The data was collected with questionnaires","weight":"The initial design weight for each sampled household had already been computed as part of the sample design process and is equal to the inverse of the probability of selection, which simply is the inverse of the sampling rate (ISR).\n\nAdjustment to the initial design weight can be found in the statistical report"},"analysis_info":{"response_rate":"The overall response rate is 90.40%. Response rate by province is available in the statistical report."}},"data_access":{"dataset_use":{"contact":[{"name":"DataFirst","affiliation":"University of Cape Town","email":"support@data1st.org","uri":"http:\/\/support.data1st.org"}],"cit_req":"Statistics South Africa. Domestic Tourism Survey 2017 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2018. Cape Town: DataFirst [distributor], 2020. DOI: https:\/\/doi.org\/10.25828\/aqs9-0q52","conditions":"Public use files, available to all"}}},"schematype":"survey"}