Abstract

The National Household Travel Survey (NHTS) 2013 is the second round of the NHTS series designed to assess domestic transport and tourism travel patterns in the country, as well as attitudes about transport.

Geographic coverage

The survey has national coverage.

Analysis unit

Households and individuals

Universe

The target population of the survey consists of all private households in all nine provinces of South Africa and residents in workers' hostels. The survey does not cover other collective living quarters such as students' hostels, old-age homes, hospitals, prisons and military barracks.

Kind of data

Sample survey data

Sampling procedure

The sample design for the NHTS 2013 was based on a master sample (MS) that used a two-stage, 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 and MS stratification was divided into two levels, primary and secondary stratification. Primary stratification was defined by metropolitan and non-metropolitan geographic area type. During secondary stratification, the Census 2001 data were summarised at PSU level. The following variables were used for secondary stratification; household size, education, occupancy status, gender, industry and income.

Census enumeration areas (EAs) as delineated for Census 2001 formed the basis of the PSUs. The following additional rules were used: • Where possible, PSU sizes were kept between 100 and 500 dwelling units (DUs); • EAs with fewer than 25 DUs were excluded; • EAs with between 26 and 99 DUs were pooled to form larger PSUs and the criteria used was same settlement type; • Virtual splits were applied to large PSUs: 500 to 999 split into two; 1 000 to 1 499 split into three; and 1 500 plus split into four PSUs; and • Informal PSUs were segmented.

A Randomised Probability Proportional to Size (RPPS) systematic sample of PSUs was drawn in each stratum, with the measure of size being the number of households in the PSU. Altogether approximately 3 080 PSUs were selected. In each selected PSU a systematic sample of dwelling units was drawn. The number of DUs selected per PSU varies from PSU to PSU and depends on the Inverse Sampling Ratios (ISR) of each PSU.

Mode of data collection

Face-to-face

Data appraisal

The original report (called a Release) provided by Statistics SA had incorrect information on response rates. This document has been replaced by a version amended by Statistics SA to reflect the correct response rates for the survey.

Abstract

The National Household Travel Survey (NHTS) 2013 is the second round of the NHTS series designed to assess travel patterns and transport problems in the country. The NHTS collects data on general household characteristics, travel patterns of households, and attitudes about transport.

Geographic coverage

The survey had national coverage

Analysis unit

Units of analysis in the survey were individuals and households

Universe

The target population of the survey consists of all private households in all nine provinces of South Africa and residents in workers' hostels. The survey does not cover other collective living quarters such as students' hostels, old-age homes, hospitals, prisons and military barracks.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample design for the NHTS 2013 was based on a master sample (MS) that used a two-stage, 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 and MS stratification was divided into two levels, primary and secondary stratification. Primary stratification was defined by metropolitan and non-metropolitan geographic area type. During secondary stratification, the Census 2001 data were summarised at PSU level. The following variables were used for secondary stratification; household size, education, occupancy status, gender, industry and income.

Census enumeration areas (EAs) as delineated for Census 2001 formed the basis of the PSUs. The following additional rules were used: • Where possible, PSU sizes were kept between 100 and 500 dwelling units (DUs); • EAs with fewer than 25 DUs were excluded; • EAs with between 26 and 99 DUs were pooled to form larger PSUs and the criteria used was same settlement type; • Virtual splits were applied to large PSUs: 500 to 999 split into two; 1 000 to 1 499 split into three; and 1 500 plus split into four PSUs; and • Informal PSUs were segmented.

A Randomised Probability Proportional to Size (RPPS) systematic sample of PSUs was drawn in each stratum, with the measure of size being the number of households in the PSU. Altogether approximately 3 080 PSUs were selected. In each selected PSU a systematic sample of dwelling units was drawn. The number of DUs selected per PSU varies from PSU to PSU and depends on the Inverse Sampling Ratios (ISR) of each PSU.

Mode of data collection

Face-to-face [f2f]

The National Travel Survey 2013/2014 (RVU 2013/2014) is the seventh national survey of travel behaviour conducted in Norway. The first was done in 1985, the next five in 1992, 1998, 2001, 2005 and 2009. The survey provides information on transport resources and travel activity. It covers personal travel of all types, including short trips taken on a daily basis and longer journeys undertaken less frequently, as well as all modes of transport, including walking. Data on the travel activities of the population is important for both national and local transport planning. The results are used as the basis for the development of transport models, estimates, exposure calculations in road safety work, and in a number of research projects. National travel surveys are also important for background comparisons and evaluations of surveys tied to more spesific modes of transportation or geographical regions. The survey consists of three data files: "Personfil", "Reisefil" (yesterday's travels) and "Lange Reiser" (travelling over 100 km or travels to/from abroad in the last month). THis file contains all three.

2013 Metropolitan Area Planning Agency External Travel Survey The 2013 Metropolitan Area Planning Agency (MAPA) External Travel Survey was conducted to measure and identify travel patterns into, within, and out of the greater Omaha/Council Bluffs metropolitan area in Nebraska. MAPA sponsored the survey in conjunction with the Federal Highway Administration, the Nebraska Department of Roads, and the Iowa Department of Transportation. ## Data Collection Agency MAPA conducted the survey. ## Methodology The purpose of the survey was to collect information and data needed as input for MAPA’s travel-demand model. The survey employed a combination of nine survey methods and data-collection activities, including Bluetooth technology, intercept surveys, postcard handouts, travel-time studies, vehicle classification counts, and a web-based survey. ## Survey Records Survey records include a total of 729 participants. ## Transportation Data This study provides Bluetooth records and supplementary data for 17,434 passenger trips and 3,123 commercial trips, accounting for 714,218 vehicle miles traveled. Transportation data are available as zipped files. Download Winzip.

The 2012-2013 Delaware Valley Household Travel Survey collected data for multiple planning purposes such as the calibration of a new activity-based travel demand model. It features data from households across nine counties in the region, including southern New Jersey and southeastern Pennsylvania. The Delaware Valley Regional Planning Commission (DVRPC) sponsored the survey, which was administered by Abt Srbi Inc. A sampling strategy was designed to recruit households for survey participation that would best represent overall regional travel trends. Households were selected randomly, but with special consideration given to under-represented geographies and transit propensity. On their assigned travel day, households were asked to record all trips made within a 24-hour period. Additionally, select households were chosen to participate in a wearable global positioning system (GPS) technology-based component of the study. A total of 811 participants wore the GPS system.

Abstract

The Nepal Land Transport Survey 2013 envisages to estimate size, structure, employment contribution and value added contribution of the public land transport sector to the natiional economy. The key survey results have been presented to the 10 types of vehicles (Bus/Minibus, truck/minitruck/tipper, taxi, jeep/van, microbus, tempo, tractor/power tiller, tourist vehicles, water tanker, petrol tanker). The survey has adopted stratified cluster sampling design. Total sample size is1736. The sampling frame has been prepared by the list of affiliated vehicles' owners obtained from their respective associations. The weight of the vehicles by its type was generated by using the number of vehicles registered in the Transport Management Department. The reference period of the survey was 2011-12. The data collection was carried out during January to July in 2013. Branch Statistics Offices were mobilized for data collection. Altogether, 57 enumerators and supervisors including 12 females had been involved during data collection phase. The statistical report of the survey contains 3 chapters. Second and third chapter describe survey results containing 10 and 19 tables respectively. The survey reveals that there were totally 118544 public vehicles in Nepal during the reference period. Buses (32 percent) accounted for highest number of vehicles following by trucks (22 percent), tractors (14 percent) and jeeps (9 percent).There were 89 percent of the vehicles that were running during the reference year 2011-12 had been manufactured in India. Mean years of vehicles that are operated since manufactured is 8 years. Tourist vehicles were found to be the oldest in terms of years of manufacturing (20.9 years). The mean period of operation of the public transport vehicles in Nepal is 238 days in a year. Water tankers were found to be the most operated vehicles (317 days) whereas petrol tankers were operated 136 days in a reference year. About 15 percent of the entrepreneurs suggested to improve the condition of the roads. Almost 8 percent of them reported the restriction of strikes in transport sector and 7.2 percent reported the strict compliance of traffic rules. Altogether 282 thousand individuals were involved in public land transport sector regularly. Five out of thousand employees are found to be female in public land transport service

Geographic coverage

National coverage

Analysis unit

Establishment is the enumeration unit of the survey and the basic unit of data analysis is "type of vehicle".

Universe

The survey covers all types of vehicles in operation used for public land transport service including Bus/Minibus, truck/minitruck/tipper, taxi, jeep/van, microbus, tempo, tractor/power tiller, tourist vehicles, water tanker, petrol tanker.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design adopted in Nepal Public Land Transport Survey 2013 was stratified cluster sampling. For the sample selection purpose, 3 ecological belts (Mountains, Hills and Plains) were considered as domains and 10 types of vehicles were taken as strata. From each domain, Vehicle entrepreneurs represented by unique vehicle number were selected proportionately. It was single stage sampling design. Total sample size was 1736 vehicles' entrepreneurs. The size of sample was representative for national level estimates. During data collection phase, replacement of sample was allowed for "not found cases" from similar domain and strata.

Mode of data collection

Face-to-face [f2f]

Research instrument

The following information was collected in the listing of the households: 1. S. No 2. District 3. Transport Entrepreneurs' Association 4. Zone Code of Plate No. of Vehicle 5. Vehicle Number 6. Name of Entrepreneur 7. District of Entrepreneur 8. VDC/NP 9. Ward no. 10. Telephone no 11. Mobile no 12 Type of vehicel

The questionnaire for Land Transport Survey was 5 paged structured questionnaire which contained following 9 sections: 1. Introductory Information 2. Employment: Number of regular employees in vehicle 3. Expenditure on transport employees: Salary, allowance and other benefits provided to regular employees of the vehicle 4A. Operating expenditure: Expenditure incurred on operating business during the reference period 4B. Other expenditure: Miscellaneous expenditure incurred during the reference period 5. Financial transaction: Financial transaction made during the reference period 6. Capital expenditure: Capital expenditure and property gained during the reference period 7. Tax, royalty, fee: Tax, royalty, fee paid to the government and other institution during the reference period 8A. Income: Income of transport entrepreneur from the sale of services during the reference period 8B. Other income: Income of transport entrepreneur from other transport activities during the reference period 9. Miscellaneous

The questionnaire in Nepali language was administered during data collection phase. Both Nepali version and English version (translated) questionnaire are provided as external resources.

Cleaning operations

Data editing took place at a number of stages throughout the processing, including manual editing and coding, editing during data entry, structure checking and completeness checking. For missing cases, both hot deck and cold deck methods were applied for imputation. Particularly, in case of stock information, some fixed functional arrays were incorporated in the data entry software.

Response rate

All samples were interviewed successfully. Therefore, there was 100 percent the response rate.

Sampling error estimates

All the estimates of the survey was computed at 95 percent confidence intervals using STATA software. In this sense, It can be said that the level of significance of the estimates of the survey was below 5 percent.

Data appraisal

To assess the reliability of the data, input-output ratio and value added contribution had been compared with the corresponding information obtained from National Accounting Section of CBS.

The 2013 New Mexico Mid-Region Travel Survey assessed travel behavior patterns to update a travel demand model for the Albuquerque Metropolitan Planning Area, which consists of Bernalillo County, Valencia County, and southern Sandoval County. It includes the cities of Albuquerque, Rio Rancho, Los Lunas, and Belen as well as some tribal lands. The Mid-Region Council of Governments contracted with Westat to conduct the survey, which included the collection of socio-demographic data and a one-day (24-hour) period of household travel behavior collected during weekdays (Monday through Friday). The survey also included a random selection of a 20% subsample of households (1,023 participants) to take part in a wearable global positioning system, technology-based component of the study, which was used to assess the level of trip under-reporting from the self-reported component of the survey.

為估算各縣市之公共運輸使用比率，了解民眾未搭乘公共運輸工具(以下簡稱公共運具)之原因，並探究民眾搭乘各項公共運具之滿意度，交通部統計處爰創辦「民眾日常使用運具狀況調查」。本調查係委託全方位市場調查公司，於102年10月4日至12月31日間，以電話訪問方式，訪查臺灣地區年滿15歲以上民眾。 本次調查有效樣本計3萬8,266人，在95%信心水準下，抽樣誤差為±0.5%(各縣市有效樣本，除連江縣403人，抽樣誤差為±4.9個百分點外，其餘縣市均至少1,382人，抽樣誤差均在±2.6個百分點以內)。

BackgroundA modal shift to cycling has the potential to reduce greenhouse gas emissions and provide health co-benefits. Methods, models, and tools are needed to estimate the potential for cycling uptake and communicate to policy makers the range of impacts this would have.Methods and findingsThe Impacts of Cycling Tool (ICT) is an open source model with a web interface for visualising travel patterns and comparing the impacts of different scenarios of cycling uptake. It is currently applied to England. The ICT allows users to visualise individual and trip-level data from the English National Travel Survey (NTS), 2004–2014 sample, 132,000 adults. It models scenarios in which there is an increase in the proportion of the population who cycle regularly, using a distance-based propensity approach to model which trips would be cycled. From this, the model estimates likely impact on travel patterns, health, and greenhouse gas emissions. Estimates of nonoccupational physical activity are generated by fusing the NTS with the English Active People Survey (APS, 2013–2014, 559,515 adults) to create a synthetic population. Under ‘equity’ scenarios, we investigate what would happen if cycling levels increased equally among all age and gender categories, as opposed to in proportion to the profile of current cyclists. Under electric assist bike (pedelecs or ‘e-bike’) scenarios, the probability of cycling longer trips increases, based on the e-bike data from the Netherlands, 2013–2014 Dutch Travel Survey (50,868 adults).Outcomes are presented across domains including transport (trip duration and trips by mode), health (physical activity levels, years of life lost), and car transport–related CO2 emissions. Results can be visualised for the whole population and various subpopulations (region, age, gender, and ethnicity). The tool is available at www.pct.bike/ict. If the proportion of the English population who cycle regularly increased from 4.8% to 25%, then there would be notable reductions in car miles and passenger related CO2 emissions (2.2%) and health benefits (2.1% reduction in years of life lost due to premature mortality). If the new cyclists had access to e-bikes, then mortality reductions would be similar, while the reduction in car miles and CO2 emissions would be larger (2.7%). If take-up of cycling occurred equally by gender and age (under 80 years), then health benefits would be marginally greater (2.2%) but reduction in CO2 slightly smaller (1.8%). The study is limited by the quality and comparability of the input data (including reliance on self-report behaviours). As with all modelling studies, many assumptions are required and potentially important pathways excluded (e.g. injury, air pollution, and noise pollution).ConclusionThis study demonstrates a generalisable approach for using travel survey data to model scenarios of cycling uptake that can be applied to a wide range of settings. The use of individual-level data allows investigation of a wide range of outcomes, and variation across subgroups. Future work should investigate the sensitivity of results to assumptions and omissions, and if this varies across setting.

Abstract

There is increasing concern in national statistical offices about coverage of informal economic activities. PCBS has given priority to transport activities, due to their importance to the Palestinian economy. The informal transport survey complements the 2013 formal transport sector survey. The PCBS began by exerting tremendous effort to establish a sampling frame. All land transport stops in major Palestinian cities were defined and data about the number and characteristics of operating vehicles were collected in order to stratify the population into homogenous stratum.

The survey covers activities of the informal sector according to (ISIC-4) for both: Non-scheduled passenger land transport (4922) Freight transport by road (4923)

Objectives: Objectives of this survey are the following. 1. Number of transport vehicles and persons engaged by activity. 2. Value of output and intermediate consumption 3. Value added components. 4. Fixed assets. 5. Other selected variables.

Geographic coverage

Palestine

Analysis unit

vehicles

Universe

The survey covers activities of the informal sector according to (ISIC-4) for both: Non-scheduled passenger land transport (4922) Freight transport by road (4923)

Vehicles:divided according to its activity to: ·Taxi passengers. ·Private passengers. ·Freight transport by road.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Frame: It is a list of parks that were collected in the frame survey and included Taxi park, Freight Transport by Road park, for the vehicles model (2003 and below, 2004and above). The frame amounted to (11,502) vehicles.

Sample Design: It is a list of parks (Lines) that were collected in the frame survey and included Taxi park, Freight Transport by Road park, for the vehicles model (2003 and below, 2004 and above). The frame amounted to (11,502) vehicles.

Sample Clusters: Parks were divided to clusters on the following levels: 1. Transport kind: Vehicles divided according to its activity to: - Taxi passengers. - Private passengers. - Freight transport by road.

1. Vehicles model: Vehicles divided according to its model to:
2. Model 2003 and below.
3. Model 2004 and above.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire of the transport survey- outside sector was designed to take into account major economic variables pertaining to the examined phenomenon and it meets the needs of the Palestinian National Accounts. Which contains the following questions: · questions about vehicle. · Persons engaged and their compensations. · Value of output from main activity. · Intermediate consumption. · Taxes on production. · Fixed assets.

Cleaning operations

Data Entry Training: The data entry training begins before the data entry process, the training is of two parts theoretically and practically.

Data Entry Administrative: The Information System Directorate administrates the whole process with all its requirements. The data entry team is of data entry employees and a supervisor.

Editing of Data Entry: There are tow steps: First: Throughout the data entry itself since the program itself is available to correct mistakes in data entry. Second: Listing of questionnaires, which are, still have mistakes in data entry.

Data Tabulation: Primary tables are exerted after the process of data entry and editing. A process of editing data is being taken to have at the end a final correct data tables.

Response rate

The Response ratio is (95.5%)

Sampling error estimates

Statistical Errors Data of this survey affected by statistical errors due to use the sample, Therefore, the emergence of certain differences from the real values expect obtained through censuses. It had been calculated variation of the most important indicators exists and the facility with the report. And the dissemination levels of the data were particularized at the regional level in the Palestinian Territories.

Non-Statistical Errors Non-statistical errors are probable in all stages of the project, during data collection or processing. This is referred to as non-response errors, response errors, interview in errors, and data entry errors. To avoid errors and reduce their effects, great efforts were made to train the fieldworkers intensively. They were trained in how to carry out the interview, what to discuss and what to avoid

Since the beginning of 2005, the Travel Survey of Residents of Canada (TSRC) has been conducted to measure domestic travel in Canada. It replaces the Canadian Travel Survey (CTS). Featuring several definitional changes and a new questionnaire, this survey provides estimates of domestic travel that are more in line with the international guidelines recommended by the World Tourism Organization (WTO) and the United Nations Statistical Commission. In 2011, TSRC underwent a redesign. Please refer to the document entitled Differences Between the 2011 Redesigned TSRC and the 2010 TSRC available in the "Documentation" section of this survey, for an explanation of the differences between TSRC from 2006-2010 and TSRC in 2011. The Travel Survey of Residents of Canada is sponsored by Statistics Canada, the Canadian Tourism Commission, and the provincial governments. It measures the size of domestic travel in Canada from the demand side. The objectives of the survey are to provide information about the volume of trips and expenditures for Canadian residents by trip origin, destination, duration, type of accommodation used, trip reason, mode of travel, etc.; to provide information on travel incidence and to provide the socio-demographic profile of travellers and non-travellers. Estimates allow quarterly analysis at the national, provincial and tourism region level (with varying degrees of precision) on: - total volume of same-day and overnight trips taken by the residents of Canada with destinations in Canada, - same-day and overnight visits in Canada, - main purpose of the trip/key activities on trip, - spending on same-day and overnight trips taken in Canada by Canadian residents in total and by category of expenditure, - modes of transportation (main/other) used on the trip, - person-visits, household-visits, spending in total and by expense category for each location visited in Canada, - person- and household-nights spent in each location visited in Canada, in total and by type of accommodation used, - use of travel packages and associated spending and source of payment (household, government, private employer), - demographics of adults that took or did not take trips, and - travel party composition. The main users of the TSRC data are Statistics Canada, the Canadian Tourism Commission, the provinces, and tourism boards. Other users include the media, businesses, consultants and researchers.

How long do South African drivers spend on the road on their way to work. This dataset is an extract from the National Household Travel Survey 2013. We calculated "to work" commute times by drivers across the country.

Excluded are drivers with missing values for province, location, start time and end time

Greater Dublin Area Cycle Network Survey 2013.

Please refer to https://www.nationaltransport.ie/publications/transport-planning/gda-cycle-network-plan/ to give context to this data