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Task Force on Passenger Mobility Statistics 11 October 2018

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1 Task Force on Passenger Mobility Statistics 11 October 2018
Item 4.4. of the Agenda 2016 Eurostat Grant – Summary of results of 2016 proposals Edita Omerzo, Transport and Communication Statistics Department Snježana Kos, Transport and Communication Statistics Department

2 CONTENT Key concepts (data collection method, definitions, sample)
Response Results Promotion of the survey Lessons learnt Steps forward (plans)

3 1. KEY CONCEPTS OF THE PILOT SURVEY
Data collection from 1st September 2017 till 5th December (CAPI method used) The average duration of the interview per household was 23 minutes Questionnaire: Household section, Vehicle section, Questions about trips 3

4 2. KEY CONCEPTS OF THE PILOT SURVEY - DISTANCE
The pilot survey collected information on: Short distance daily trips (0 – 300 km) and trips over 300 km (medium and long distance mobility) Short distance trips – maximum four trips in the reference day (start and end point of trip, departure and arrival time, stages (maximum four), purpose, mode of transport, distance and travel time) Trips over 300 km - one-day journeys in the last three months (start and end point, purpose of the journey, mode of transport, distance and travel time) – no stages

5 3. KEY CONCEPTS OF THE PILOT SURVEY – SAMPLE AND FUA
The sample size: 4914 dwellings The sample frame: Census of Population, Households and Dwellings 2011 The sample design is two-stage stratified design The sample frame is divided into 6 strata which are defined according to statistical regions (NUTS2) and FUA (cities, commuting zones and non-urban areas) Target population are persons aged living in private households For urban definition is used the concept FUA. This includes a 7 core dense city centre of Zagreb, Split, Rijeka, Osijek, Slavonski Brod, Pula and Zadar and its commuting zones (settlements with at least 15% of their employed residents working in a particular city)

6 4. KEY CONCEPTS OF THE PILOT SURVEY – TRIPS
The reference day is defined for 24 hours, from 4:00 am to 3:59 am of the next day, Each respondent is asked only for one day (one working day or one non-working day, either a weekday either Saturday either Sunday or either official holiday) For the trips over 300 km we were asking respondents about one-day journeys in the last three months

7 5. KEY CONCEPTS OF THE PILOT SURVEY – DEFINITIONS
Trip – movement from origin to destination where the respondent has another activity Stages – defined per vehicles Travel time – waiting time recorded separate from the travel time and used for the sum of reporting indicators. Travel purpose – „home trip” is not separate value Main travel mode – travel mode used for the longest distance within a trip Minimum trip distance – 100 meter (0.1 km) Car occupancy – number of persons in a passenger car by all ages (under 15 years, between 15 and 84 years, 85 years and older)

8 6. RESPONSE RATE Household response rate amounts 54,47%.
Out of 4914 dwellings/households, 2400 households and persons for reference population were interviewed. FUA selected addresses eligible addresses eligible addresses contacted hh at contacted addresses hh interviewed eligible persons eligible persons interviewed eligibility rate dwelling contact rate hh response rate person response rate non-urban areas 2184 1945 1783 1278 3137 3042 0,89 0,92 0,66 0,64 cities 1638 1478 1305 582 1315 1280 0,90 0,88 0,39 0,38 commuting zones 1092 983 888 540 1436 1404 0,55 0,54 CROATIA 4914 4406 3976 2400 5888 5726 0,53 eligibility_rate = eligible_addresses/selected_addresses dwelling_contact_rate = eligible_addresses_contacted/eligible_addresses hh_response_rate = dwelling_contact_rate*hh_cooperation_rate person_response_rate = dwelling_contact_rate*hh_cooperation_rate*person_cooperation_rate

9 7. RESPONSE RATE – cont. COUNTY selected addresses eligible addresses
eligible addresses contacted hh at contacted addresses hh interviewed eligible persons eligible persons interviewed hh response rate Person response rate ZAGREBAČKA 312 279 243 147 408 401 52.69% 51.78% KRAPINSKO-ZAGORSKA 114 94 84 262 259 73.68% 72.84% SISAČKO-MOSLAVAČKA 150 142 135 79 184 169 55.63% 51.10% KARLOVAČKA 120 105 253 252 78.33% 78.02% VARAŽDINSKA 126 121 99 97 266 80.17% KOPRIVNIČKO-KRIŽEVAČKA 90 83 82 69 194 83.13% BJELOVARSKO-BILOGORSKA 96 88 85 49 122 115 55.68% 52.49% PRIMORSKO-GORANSKA 474 450 441 136 322 313 30.22% 29.38% LIČKO-SENJSKA 65 64 56 110 109 86.15% 85.37% VIROVITIČKO-PODRAVSKA 72 62 52 124 83.87% 82.54% POŽEŠKO-SLAVONSKA 60 41 86 78.85% 77.93% BRODSKO-POSAVSKA 137 123 218 207 64.23% 60.99% ZADARSKA 240 163 73 188 180 44.79% 42.88% OSJEČKO-BARANJSKA 300 276 154 381 371 55.80% 54.33% ŠIBENSKO-KNINSKA 198 106 234 221 65.03% 61.42% VUKOVARSKO-SRIJEMSKA 141 132 264 255 78.01% 75.35% SPLITSKO-DALMATINSKA 630 555 508 330 834 809 59.46% 57.68% ISTARSKA 342 281 148 328 311 47.28% 44.83% DUBROVAČKO-NERETVANSKA 204 100 206 197 59.17% 56.59% MEĐIMURSKA 75 71 193 84.52% GRAD ZAGREB 906 829 730 316 709 695 38.12% 37.37% CROATIA 4914 4406 3976 2400 5888 5726 54.47% 52.97%

10 8. RESPONSE RATE – cont. Refusal was reported in 35% of households
in Primorsko-goranska county 70% of households refused to participate in the survey, most often due to lack of time or lack of interest Immobility rate – 30% of respondents did not travel to distances up to 300 km Rescheduling the date of interviewing for one or more weeks (depending on the availability of the head of household) instead within three days has also influenced the increase of the response rate

11 9. RESULTS Guidelines (version July 2016) does not contain
calculation formulas for indicators it was not entirely clear which number of respondents should be used for calculation (all respondents/trip-makers) Eurostat was consulted and formulas and additional explanation were available to us

12 10. RESULTS – cont Calculation: The total number of trips is divided by the reference population. Data for working and non-working days are separately calculated, while data for "all days" are calculated according to the formula (5 * number of travel working days) + (2 * number of non-working days) / 7. Table 2. Passenger mobility indicators by type of mobility (urban, non-urban, total) and type of day (working/non-working day) Passenger mobility indicators by type of mobility: urban, non-urban Working day Non-working day[1] All days (non-urban = total – urban) and days of the week: working day, non-working day Urban mobility Total mobility <100 km <300 km 2. Number of trips per person/per day a) Total 0,45 0,95 0,17 0,36 0,37 0,78 3. Travel distance per person/day (km) 4,41 11,59 1,45 4,90 3,56 9,68 3a. Average distance per trip (km) 9,70 12,18 8,63 13,48 9,39 12,55 4. Travel time per person/day (minutes) 19,94 38,25 6,50 14,62 16,10 31,50 5. Passenger kilometers (pkm) for all reference population/year  a) Total (mln) 5.570,72 14.653,27 1.831,09 6.189,90 7.401,82 20.843,17 6. Average vehicle occupancy  for passenger car 1,48 1,78 1,75 1,56 1,55 for taxi 3,52 2,00 3,00 [1] Non-working day = Saturday, Sunday and (All Saints' Day)

13 Medium distance mobility Long distance mobility
11. RESULTS – cont. Table 3. Passenger mobility indicators by distance classes (medium and long distance: km, 1000 km and above) Passenger mobility indicators by distance classes Medium distance mobility Long distance mobility One-day Overnight 2. Number of trips per person/per year a) Total 0,21 0,00 3. Travel distance per person/year (km) a) Total 86,37 5,40 3a. Average distance per journey (km) 409,42 2.000,00 4. Travel time per person/year (min) 61,81 0,68 5. Passenger kilometres (pkm) for all reference population/year a) Total (mln) 299,07 18,70 6. Average vehicle occupancy for passenger car and taxi 1,98 -

14 2. Number of trips per person/per day
12. RESULTS – cont Calculation: The total number of trips is divided by the reference population. Data for "all days" are calculated according to the formula (number of travel working days + number of travel non-working days). 2. Number of trips per person/per day Working day Non-working day All days Urban mobility <100 km Total mobility <300 km a)      Total 0,45 0,95 0,17 0,36 0,62 1,32 b)      By main travel mode by passenger car (total) 0,25 0,57 0,09 0,22 0,34 0,79 as driver 0,20 0,46 0,06 0,15 0,26 0,61 as passenger 0,05 0,12 0,03 0,07 0,08 0,18 by taxi (as passenger) 0,00 by van/lorry/tractor/camper 0,01 by motorcycle and moped by bus and coach 0,04 by train aviation waterways cycling 0,02 walking 0,21 0,10 0,31 tram other

15 2. Number of trips per person/per day
13. RESULTS – cont. 2. Number of trips per person/per day Working day Non-working day All days Urban mobility <100 km Total mobility <300 km a)      Total 0,6714 1,4061 0,2476 0,5362 0,5503 1,1576 b)      By main travel mode by passenger car (total) 0,3696 0,8476 0,1325 0,3220 0,3018 0,6974 as driver 0,2947 0,6720 0,0891 0,2253 0,2360 0,5444 as passenger 0,0749 0,1756 0,0434 0,0967 0,0659 0,1530 by taxi (as passenger) 0,0047 0,0025 0,0041 by van/lorry/tractor/camper 0,0019 0,0163 0,0000 0,0056 0,0013 0,0132 by motorcycle and moped 0,0027 0,0106 0,0039 0,0023 0,0087 by bus and coach 0,0636 0,0996 0,0102 0,0141 0,0484 0,0752 by train 0,0042 0,0094 0,0001 0,0009 0,0031 0,0070 aviation waterways 0,0005 0,0004 cycling 0,0225 0,0832 0,0100 0,0311 0,0190 0,0683 walking 0,1753 0,3062 0,0855 0,1502 0,1497 0,2616 tram 0,0266 0,0055 0,0206 other 0,0002 0,0015 0,0003 0,0012 Calculation: The total number of trips is divided by the trip-makers. Data for working and non-working days are separately calculated, while data for "all days" are calculated according to the formula (5 * number of travel working days) + (2 * number of non-working days) / 7.

16 14. AN OVERVIEW OF RESULTS Number of trips per person per day - less than 1 if the calculation is based on reference population and 1,2 if calculation is based on trip makers Possible reasons for low number of trips per person per day: - 30% of respondents did not travel to distances up to 300 km - a lot of return trips were not recorded - some trips were recorded as stages

17 15. PROMOTION OF THE SURVEY 1st phase – means to increase the response rate
To get the public all relevant information about the survey activities Two activities – to introduce the survey to the potential respondents and to communicate with the respondents before, during and after data collection process by using our social networks Leaflet was attached to the introduction letter for surveyed households

18 16. PROMOTION OF THE SURVEY – cont
16. PROMOTION OF THE SURVEY – cont. 2nd phase - dissemination of the key indicators on CBS social networks The leaflet to respondents contained short questions. Data have been connected to these questions and made it possible to tell the short story about the survey and part of the data The most common trip purposes were work (35%), leisure (22%) and personal business (19%) 51% of households owned at least one car and 24% two and more cars Most people travelled by a car (60%) and walk (23%).

19 17. LESSONS LEARNT The respondents praised the subject of the survey and the interviewers emphasized that was really refreshing, new and different survey Most difficult regarding CAPI method is predefined interviews on the exact dates for exact address and the rule of three returns on the same address Better explanation about the difference between stages and trips Need to pay better attention on reporting return trips Need to ask respondents for two days (weekday and weekend trips) Need for more examples and clarification about the trips, stages and loops in the Guidelines Need for calculation formulas for passenger indicators in the Guidelines

20 18. STEPS FORWARD (PLANS) It is planned to carry out the survey and collect data for (mixing CAPI and CAWI methods) Investigate the possibilities of including the Passenger Mobility indicators for medium and long distance one day and overnight journeys into the survey on Tourist Activity of Population of Republic of Croatia Defining data processing software and output tables, analysing data and comparing with 2017 results, dissemination of the results Promotion activities (it is planned to promote the survey through CBS website, social networks, leaflets, media)

21 Thank you for your attention!
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