SEVENTH FRAMEWORK
PROGRAMME
THEME 7
Transport including
Aeronautics
Project DELTA
C
ONCERTED COORDINATION OF THE PROMOTION
OF EFFICIENT MULTIMODAL INTERFACES
Coordination Action Grant Agreement No: 218486
Data Collection Mechanism
Deliverable D2.2
(DCM)
Version: Final
Date: April 2009
Deliverable D2.2: Data Collection Mechanism
April 2009 2
P
ROJECT
I
NFORMATION
Title: Concerted coordination for the promotion of efficient multimodal interfaces
Acronym: DELTA Grant Agreement no: 218486 Programme: 7th
Funding Scheme: Coordination Action Framework Programme
Start date: 1st
Duration: 24 months January 2009
Web site: www.delta-project.eu
P
ROJECT
P
ARTNERS
No Name Short name Country
1
(coordinator)
Centre of Research and Technology Hellas / Hellenic
Institute of Transport CERTH/HIT Greece 2 Swedish National Road and Transport Research Institute VTI Sweden
3 Forschungsgesellschaft Mobilitat GmbH - Austrian Mobility
Research FGM-AMOR Austria 4 Trivector Traffic AB Trivector Sweden 5 Budapest University of Technology and Economics BME Hungary 6 BDO EOS Svetovanje d.o.o. BDO EOS Slovenia 7 MIZAR Automazione S.p.A. MIZAR Italy 8 Universita degliStudi di Salerno Usalerno Italy 9 Anatoliki S.A. Development Company REACM Greece 10 Segura Durán Assessors S.A. SD Assessors Spain 11 Ente Autonomo Volturno EAV Italy 12 Municipality of Solcava Solcava Slovenia 13 Centre d'Etudes Techniques de l'Equipement du Sud Ouest CETE SO France
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D
OCUMENT
P
ROFILE
Document status: Final Deliverable code: D2.2Deliverable title: Data Collection Mechanism Work Package: 2
Preparation date: April 2009 Submission date: April 2009 Total pages: 14
Dissemination level: PU
Author: Kerstin Robertson, VTI
Contributors: CERTH/HIT, Trivector, USalerno
Abstract: The aim of this Data Collection mechanism (DCM) is to support the data collection activity in the DELTA project. All data and information will be stored into a structured Knowledge base which will then be used for the classification of cities and mobility schemes, as well as the definition of a Decision Support Instrument (DSI). The DCM includes information about the type and structure of the selected variables (the data and information to be collected), the data templates, the validation of the variables, the data sources, and the data collection process.
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E
XECUTIVE
S
UMMARY
DELTA “Concerted Coordination Action for the promotion of efficient multimodal interfaces” is an FP7 research project, which addresses regions that suffer from strong and seasonal variations of transport demand. The project will define and validate intelligent mobility tools and practices guidelines, as well as policy guidelines. One basic objective of the project is to create a detailed and structured data- and knowledge base with the seasonal characteristics of target regions (WP 2).
The aim of this document, that has been developed within Task 2.2 Data Collection Mechanism (DCM), is to support the data collection activity (DCA) in DELTA Task 2.3 (Case studies) and 2.4 (Additional regions). The purpose of the data collection is to collect both quantitative and qualitative data in order to meet the overall aim of the Delta project. All data and information will be stored into a Knowledge base (Task 2.5) which will then be used in WP 3 (Classification of cities and mobility schemes) and WP 4 (Definition of Decision Support Instrument).
The DCM includes information about:
the variables/factors that affect the seasonality of the transport demand in the target regions,
the type and structure of the selected variables (the data and information to be collected),
the data templates,
the validation of the variables, the data sources, and
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C
ONTENTS
1. Introduction __________________________________________________________ 6 1.1. Overview of the DELTA project_____________________________________ 6 1.2. Objectives of the Data Collection Mechanism______________________ 7 1.3. Structure and content of the deliverable ___________________________ 7 2. Data and Data Sources _______________________________________________ 8 2.1. Type of data _____________________________________________________ 8 2.2. Common data structure __________________________________________ 8 2.3. Validation of variables ____________________________________________ 9 2.4. Quantitative variables list (quantitative data) _______________________ 9 2.5. Questionnaire (qualitative data) __________________________________ 10 2.5.1. Aim and use _________________________________________________ 10 2.5.2. Text responses _______________________________________________ 10 2.5.3. Ratings ______________________________________________________ 10 2.5.4. Choices _____________________________________________________ 11 2.6. Data sources ____________________________________________________ 11 2.6.1. Quantitative variables list _____________________________________ 11 2.6.2. Questionnaire ________________________________________________ 11 3. Data Collection Process _____________________________________________ 13
L
IST OF
T
ABLES
Table 1: Example of preliminary stakeholders list – Öland, Sweden __________ 12 Table 2: Regions and partners participating in DELTA Task 2.3 ______________ 13 Table 3: Partners participating in DELTA Task 2.4 ___________________________ 13
A
NNEXES
1) Quantitative variables list (DELTA_Quantitative_variables_list_template.xls) 2) Questionnaire (DELTA_Questionnaire_template.doc)
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1. I
NTRODUCTION
1.1. Overview of the DELTA project
DELTA “Concerted Coordination Action for the promotion of efficient multimodal interfaces” is an FP7 research project, which addresses regions that suffer from strong and seasonal variations of transport demand causing congestion, environmental pollution, energy loss, increased travel times and other negative effects. The project will define and validate intelligent mobility tools and practices guidelines, as well as policy guidelines addressing the optimum management of seasonal demand for transport areas with proven relevant problems. The basic objectives of the project are to:
create a detailed database and a knowledge base with the seasonal characteristics of the target regions;
classify the regions based on their seasonal demand characteristics; formulate a Framework of mobility schemes, strategies and related
measures applied per region profile to handle seasonal peaks;
promote multimodal interfaces linking different transport modes, systems and passenger trips;
identify benchmarks for sustainable mobility (Handbook of benchmarks);
create roadmaps (the DELTA Decision Support Instrument) of strategies, policies and measures to handle the seasonal peaks in the target regions;
create a Network of European Cities with seasonal demand characteristics; and
define future research needs and recommendations for new EU policies based on the proposed strategies and guidelines.
The results of the project aim to help and support the local transport or other agencies to apply strategies, policies and measures adapted to the local conditions and to handle the varying transport demand. Additional expected impacts are:
Contribution towards increased acceptance and use of new solutions and technologies within the transport sector.
Indirect contribution towards a reduction of CO2, other traffic induced pollutant emissions and noise in compliance with EU legislation.
Efficient energy use in transport and increase of road safety. Provision of optimized transport systems and mobility services.
Encouragement of collaboration and synergies between organizations and regions in order to meet varying transport demand.
Deliverable D2.2: Data Collection Mechanism
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Encouragement of public-private partnerships (e.g. transport operators, public works administration, municipalities, private tourist agencies, etc.) in those regions for the mutual benefit.
Stimulation of more active participation of the numerous SMEs acting in the regions with varying transport demand towards the definition of sustainable solutions.
1.2. Objectives of the Data Collection Mechanism
The aim of this document is to support the data collection activity (DCA) in Task 2.3 and Task 2.4. The purpose of the data collection is to collect both quantitative and qualitative data in order to meet the overall aim of the DELTA project. All data and information will be stored into a structured Knowledge base (Task 2.5) that will be used in WP 3 Classification of cities, Mobility schemes and Benchmarks and WP 4 Definition of Decision Support Instrument (DSI).
1.3. Structure and content of the deliverable
The following two sections of the Data Collection Mechanism includes information about:
the variables/factors that affect the seasonality of the transport demand in the target regions,
the type and structure of the selected variables (the data and information to be collected),
the validation of the variables, the data templates,
the data sources, and the data collection process.
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2. D
ATA AND
D
ATA
S
OURCES
2.1. Type of data
The data collection concerns two types of data (variables):
1. Quantitative data (numerical data)
2. Qualitative data (descriptive data, stakeholder views)
The lists of variables (quantitative and qualitative) to be collected are attached in the Annex files 1) DELTA_Quantitative_variables_list_template.xls and 2) DELTA_Questionnaire_template.doc
.
This document deals with both data types.In brief, the collection of data uses two main sources; official sources of state authorities and different stakeholders’ views.
2.2. Common data structure
The requested quantitative and qualitative data/information is structured within two collection methods, i.e. the Quantitative variables list and the Questionnaire. The data follows a common structure that is based on four topics: Region characteristics, Transport infrastructure, Transport system & Mobility and Seasonal characteristics.
A. Region characteristics: The scope of this topic is to provide a general overview of the region under study. The information that will be collected will regard geographical data (size of region, etc.), demographical data (population, distribution of the population, etc.), as well as socioeconomic data (e.g. GDP per capita). The climate and environmental characteristics of the region will also be examined through the collection of data relevant to the level of pollutants, level of noise etc. Finally, in order to provide a complete picture of the region, data regarding the available local attractions will be collected.
B. Transport infrastructure: The presentation of the existing transport
infrastructure is the goal of this topic. Some general information will be provided at first having to do with the major gateways, the frequency of funding for infrastructure, as well as with the legislative framework. The infrastructure for all the transport modes (railway network, road network, waterborne, airport) will be described. Finally, intermodality will be examined by collecting data relevant to the availability of interchanges and types of modes that are connected.
C. Transport system & Mobility: After having described the transport system in the previous topic, the actual usage of it will be presented here by describing the transport means using the infrastructure, and related issues. The general information that will be collected will regard
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accidents per mode of transport, public funding, major disturbances etc. For each mode of transport various data will be collected having to do with traffic volumes, routes, travel times, tec. Finally intermodal transport will be examined, as well as the availability of ITS services.
D. Seasonal characteristics: The scope of the particular topic will be to describe the seasonal variation. The topic will be divided into two subtopics, the one having to do with demand and the other with supply. In the demand category, the data that will be collected will regard some characteristics of the visitors (age, gender, etc) and their attitude during their stay in the region (amount of money spent, number of rented cars and bikes, length of season, etc.). In the supply category the available accommodation, activities information centres, seasonal traffic management measures will be defined.
2.3. Validation of variables
The variables have been carefully selected and classified by the partners of Task 2.2 and 2.3 in order to address the factors that affect the seasonality of transport demand. Upon selection and classification the variables were validated through a consultation process with selected stakeholders in the seven regions participating in the DELTA project.
The variables validation, before the execution of the actual data collection process, through the consultation with the regions stakeholders was an important activity to ensure that the variables cover all the important factors and data elements of seasonal transport demand taking into account not only the knowledge of the project partners but also the views and opinions of the stakeholders with the practical experience and practice.
2.4. Quantitative variables list (quantitative data)
The numerical data is specified in the Quantitative variables lists (Description/measurement unit). The list is structured in four levels: Topic –
Subtopic – Variable – Sub-variable.
When the data is extracted from the source, the Excel-file (Annex 1: Quantitative variables list) should be filled in (see below concerning the data collection process). Data for each variable is to be added in the Data column, while the data source and possible comments are to be added in the following columns.
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2.5. Questionnaire (qualitative data)
2.5.1. Aim and use
The questionnaire was created in the framework of WP2 (Task 2.2) of the DELTA project, which has as one of its goals to accurately describe the existing situation in each of the seven regions and cities participating in the project.
The main aim of the questionnaire is to investigate the current situation in the regions under study, the problems they face and their effects, the local needs and requirements. The questionnaire is addressed to local authorities that are responsible for defining and applying actions and policies to handle the seasonal traffic, as well as to other key actors involved in mobility management aspects, such as for example Transport companies and car rentals.
Each of the participating regions has specific characteristics and attributes concerning the seasonal demand. Furthermore, each one of the local stakeholders has a different point of view and, more importantly, is affected in a different way from this phenomenon. Therefore, this questionnaire aims also to consolidate all these different opinions and characteristics in order to create an integrated picture of the problem and of the reasons causing it, so as to achieve a feasible common or modular solution.
The qualitative data (views of the stakeholders) is specified in a Questionnaire. Data and information from the interviews should be inserted into the Word-file. In the questionnaire there is a brief instruction for the interviews, but detailed instructions are also presented below. There exist fixed answers alternatives and also free text responses side by side.
One questionnaire shall be used for each area/region. This means that several stakeholders may need to be interviewed and several different data sources consulted in order to answer the questions.
2.5.2. Text responses
Concerning the Questionnaire, the free text responses mean that the stakeholders’ (subjects) answer is to be quoted in a separate row in the tables of the questionnaire.
2.5.3. Ratings
Some questions ask for ratings of different alternatives. The following scale is used: high – low (importance, relevance, effects, etc.) on a 1-5 scale where 1 equals “low” (or unacceptable, little, small, etc) and 5 equals “high” (good, much, large, etc.).
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2.5.4. Choices
In some cases, there are also fixed answer alternatives marked with letters (A, B, C, etc.). In such cases the appropriate alternative must be marked clearly, e.g. with bold text or a circle (for example see question A.1.2).
2.6. Data sources
2.6.1. Quantitative variables list
Possible data sources have been inserted in the Quantitative variables list. Quantitative data are often official, located at different authorities on national, regional and local level.
There may also be a need to interview stakeholders in order to attain the quantitative data. The proposed data sources in the Quantitative variables list should be replaced by the actual sources for each variable, including references to reports and other published sources, during the data collection activity.
2.6.2. Questionnaire
Concerning the qualitative data and information requested in the Questionnaire, several stakeholders may need to be contacted in order to obtain the relevant data/information. It is unlikely that one stakeholder can answer all the questions, and because of this interviews with 2-4 stakeholders may be necessary.
Stakeholders/Interviewees and data sources must be specified and numbered in the tables in section 3 and 4 of the Questionnaire. The relevant interviewees and other data and information sources must also be inserted into the Questionnaire for each variable. In Table 1, some examples of stakeholders are presented.
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Table 1:
Example of preliminary stakeholders list – Öland, Sweden NATIONAL STAKEHOLDERSContact person: Region Sydöst, Leif Ringhagen, 036-19 20 76 National Road Administration Authorities (SRA)
Contact person: Björn Sundvall, 08-788 08 63, 070-628 08 63 National Public Transport System Organisations (SLTF)
LOCAL AND REGIONAL STAKEHOLDERS
Contact person: Christer Petersson, tel 0485-880 Municipalitiy (Borgholm kommun)
Contact person: Helena Ervenius 0480-44 83 66, 070-640 62 41 Regional Authorities (Regionförbundet i Kalmar län)
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3. D
ATA
C
OLLECTION
P
ROCESS
The data collection in Task 2.3 involves the stakeholders selected by DELTA partners in the following seven areas/regions participating in the project:
Table 2: Regions and partners participating in DELTA Task 2.3
REGION DELTA PARTNER
Balearic islands, Spain SD Assessors South-West France CETE SO Öland, Sweden VTI
Chalkidiki region,
Greece REACM and CERTH/HIT Ischia island, Italy USalerno and EAV Logarska Dolina,
Slovenia BDO EOS and Solcava Lake Balaton, Hungary BME
In Task 2.4 data will be collected from some 20-30 additional regions. The following partners participate in Task 2.4:
Table 3: P
artners participating in DELTA Task 2.4 DELTA PARTNERVTI (Sweden)
FGM-AMOR (Austria) BME (Hungary) BDO EOS (Slovenia) USalerno (italy) REACM (Greece) Solcava ((Slovenia)
The actions to take place by each partner in Task 2.3 and Task 2.4 are the following:
1. Read and understand the Quantitative variables list and the Questionnaire. Check if the collection of quantitative and qualitative Planning the data collection:
Deliverable D2.2: Data Collection Mechanism
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data and information should be coordinated. If necessary, contact VTI for clarifications.
2. Before the execution of meetings, the local partners should perform preliminary work to collect some of the data addressed in the Quantitative variables list. To do that, the partners should exploit their knowledge and contacts at local, regional and national levels to find the appropriate data sources.
3. Contact the local stakeholders and arrange the meetings with each one, in person or by phone.
Before the data collection meetings:
It is always very good to tape record the interviews, especially concerning the Questionnaire. Before taping the interviews, ask for the subjects’ permission (to be taped) and inform the subject that the tape is only for the DELTA project internal use as a complement to the written notes. If the subject rejects being taped, turn of the recorder visually.
During the data collection meetings (person-to-person or phone)
4. Inform the stakeholders about the DELTA project: give them the 2-page document briefly describing DELTA and provide additional information as per request.
:
5. Explain to the stakeholders the purpose of the data collection.
6. Explain the structure of the Quantitative variables lists and the Questionnaire.
7. Go through the list, variable-for-variable and insert data and information in the Data column(s) in the list or in the questionnaire. Also specify the relevant data source and contact person or published document for each variable.
8. The DELTA partners should update the Quantitative variables list and the Questionnaire with the clear and understandable data, data sources and contact persons/published document.
After the meetings:
9. The filled-in variables list and questionnaire must be sent to VTI along with any other findings of the data collection process and feedback provided by the stakeholders.
Delta Task 2.3 Case study / Date:
Annex 1: QUANTITATIVE VARIABLE LIST
v.2 2009-04-21Topic Sub-topic Variable Sub-variable Description/measument unit Data/information Data source Comments
Region:
Partner: Data and information refers to the specified
area/region and 2008 if no other period or area/region
is is stated!
Exchange the suggested data source below with the actual data source for each variable (Written, published source and/or organisation and contact person).
A. Region characteristics
A.1 Geographical data National statistics
1. Size of the region km2
2. Number of Municipalities, Provinces, Villages etc. Municipalities %
Provinces %
Town (>200 inhabitants) %
Village %
3. Land Uses Agricultural %
Industrial %
Residential % Tourism facilities %
Other %
A.2 Demographic data National statistics
1. Resident population Number
2. Active population (working) % of resident population 3. Inhabitants in main population centre(s) in the area/region Number
4. Population Mean Age (total residential population)
5. Gender % male population
% female population
A.3 Socioeconomic Data National statistics
1. GDP per capita of the region €
2. Income Average income (residential population)
3. Unemployment High season %
Low season %
4. The cost of one litre petrol € (Average annual prize)
A.4 Environmental characteristics
See Qualitative variables list
B. Transport infrastructure
B.1 General information
See Questionnaire
B.2 Road network National Road Administration, Municipalities
1. Road network km (public roads)
2. Type of road network (hierarchy) > 2 lane %
2 lane %
narrow 2 lane %
dirt roads %
3. Speed limits > 2 lane km/h (average) 2 lane km/h (average) narrow 2 lane km/h (average) dirt roads km/h (average)
4. Toll stations Number
5. Separate bus lanes km
6. Bicycle lanes Separate km
Non-separate km
7. Walking trails km
8. Parking space Car parks Number (of P areas) P spaces Number (of cars)
9. Free parking % of number of P spaces
10. Taxi stations Number
11. Bus stops Number
B.3 Railway network Mark if not relevant National Rail Administration
1. Length of railway network km
2. Routes Number
3. Type of railway network Metro %
Light rail %
Rail %
Sub-urban rail %
4. Maximum permitted speed Metro km/h
Light rail km/h
Rail km/h Sub-urban rail km/h
5. Railway stations Number
6. Metro stations Number
B.4 Waterways Mark if not relevant National maritime administration, Municipalities
1. Existence of passenger ports Number
2. Capacity of the port(s) Freight/year ton Passengers/h Number
3. Guest harbours/marines Number
4. Ferry routes - to/from region Low season Number High season Number 5. Ferry routes - within region Low season Number High season Number
B.5 Airport Mark if not relevant Local airports
1. Airports Number
2. Capacity of the airport(s) Passengers/h
B.6 Intermodal infrastructure
See Questionnaire
C. Transport system & Mobility
C.1 General information National statistics
1.Road accidents - involving cars Low season Number/year High season Number/year 2.Road accidents - involving motorcycles/mopeds Low season Number/year High season Number/year 3.Road accidents - involving walkers or bikes Low season Number/year High season Number/year 4. Killed in road accidents Low season Number/year High season Number/year 5. Injured in road accidents - Severly injured Low season Number/year High season Number/year 6. Injured in road accidents - Lightly injured Low season Number/year High season Number/year
C.2 Road Transport National statistics, Municipalities, National Road Administration, National public transport organisation
1. Private cars Low season Number
High season Number
2. Rented cars Low season Number/day
High season Number/day
3. Taxis Low season Number
High season Number 4. Private motorcycles and mopeds Low season Number High season Number 5. Rented motorcycles and mopeds Low season Number/day
High season Number/day
7. Rented bicycles Low season Number/day
High season Number/day
8. Busses Low season Number
High season Number
9. Bus capacity Low season Number total passenger capacity High season Number total passenger capacity
10. Bus load factors Low season %
High season %
11. Shuttles Low season Number
High season Number
12. Caravans High season Average number/day
13. Cost for daily rental Medium-size car € 14. Cost for daily rental Motorcycle €
15. Cost for daily rental Moped €
16. Cost for daily rental Bicycle €
17. Traffic volume - Cars Low season Vehicles / day High season Vehicles / day 18. Traffic volume - Motorcycles and Mopeds Low season Vehicles / day High season Vehicles / day 19. Traffic volume - Busses Low season Vehicles / day High season Vehicles / day 20. Traffic volume - Shuttles Low season Vehicles / day High season Vehicles / day 21. Traffic volume - Caravans Low season Vehicles / day
High season km/day 22. Passenger km - Car Low season km/day High season km/day 23. Passenger km - Motorcycle and Moped Low season km/day High season km/day
Kry
24. Passenger km - Bus Low season km/day High season km/day 25 Passenger km - Bicycle Low season km/day High season km/day
26 Length of bus network km
27. Cost for 1 single 1 zone bus ticket €
C.3 Railway transport Mark if not relevant National statistics, National Rail Administration, National public transport organisation
1. Transport frequency (freight) - To/from region Low season Number of trains/day High season Number of trains/day 2. Transport frequency (freight) - Within region Low season Number of trains/day High season Number of trains/day 3. Transport frequency (passenger) - To/from region Low season Number of trains/day High season Number of trains/day 4. Transport frequency (passenger) - Within region Low season Number of trains/day High season Number of trains/day 5 Traffic volumes (Freight) - To/from region Low season km/day
High season km/day 6 Traffic volumes (Freight) - Within region Low season km/day High season km/day 7. Traffic volumes (passenger) - To/from region Low season km/day High season km/day 8 Traffic volumes (passenger) - Within region Low season km/day High season km/day 9. Ticket fares (on major tourist routes, in high season) Metro €
Light rail €
Rail €
Sub-urban rail € 10. Frequency of Metro trains (on major tourist routes) - To/from
region
Low season Number/day High season Number/day 11. Frequency of Metro trains (on major tourist routes) - Within
region
Low season Number/day High season Number/day 12. Frequency of Light rail trains (on major tourist routes) - To/from
region
Low season Number/day High season Number/day 13. Frequency of Light rail trains (on major tourist routes) - Within
region
Low season Number/day High season Number/day 14. Frequency of regional trains (on major tourist routes) - To/from
region
Low season Number/day High season Number/day 15. Frequency of regional trains (on major tourist routes) - Within
region
Low season Number/day High season Number/day 16. Frequency of Sub-urban (commuter) trains (on major tourist
routes) - To/from region
Low season Number/day High season Number/day 17. Frequency of Sub-urban (commuter) trains (on major tourist
routes) - Within region
Low season Number/day High season Number/day 18. Number of passengers - To/from region Low season Number/day High season Number/day 19. Number of passengers - Within region Low season Number/day High season Number/day
C.4 Waterway transport Mark if not relevant National statistics, National maritime administration 1. Traffic volumes - To/from region Low season km/day
High season km/day 2. Traffic volumes - Within region Low season km/day High season km/day 3. Ferry liners - To/from region Low season Number
High season Number 4. Ferry liners - Within region Low season Number High season Number 5. Ticket fares (on major tourist routes, in high season) To/from region €
Within region € 6. Frequency of ferries (on major tourist routes) - To/from region Low season Number/day
High season Number/day 7. Frequency of ferries (on major tourist routes) - Within region Low season Number/day High season Number/day 8. Number of passengers - To/from region Low season Number/day High season Number/day 9. Number of passengers - Within region Low season Number/day High season Number/day
Kry
10. Number of cars - To/from region Low season Number/day High season Number/day 11. Number of cars - Within region Low season Number/day High season Number/day 12. Number of caravans - To/from region Low season Number/day High season Number/day 13. Number of caravans - Within region Low season Number/day High season Number/day 14. Number of lorries - To/from region Low season Number/day High season Number/day 15. Number of lorries - Within region Low season Number/day High season Number/day 16. Private boats calling in harbours Low season Number/day High season Number/day
C.5 Air transport Mark if not relevant National statistics, National aviation administration 1. Number of passengers - To/from region Low season Number/day
High season Number/day 2. Number of passengers - Within region Low season Number/day High season Number/day
3. Ticket fares (on major tourist routes, in high season) To/from region € (return ticket, economy class) Within region €
4. Frequency of flights (on major tourist routes) - To/from region Low season Number/day High season Number/day 5. Frequency of flights (on major tourist routes) - Within region Low season Number/day High season Number/day
C.6 Intermodal transport
See Qualitative variable list
C.7 ITS services
See Qualitative variable list
C.8 Information and marketing (non-ITS)
See Qualitative variable list
C.9 Traveller perspectives
See Qualitative variable list
D. Seasonal characteristics
D.1 Demand Tourist organisations, Municipalities
1. Visitors Low season Number
high season Number
2. Average days of stay Average Number of days
3. Age Average age of visitors
4. Gender Male %
Female %
5. Amount of spending/visitor Average spending/day (€)
D.2 Supply Tourist organisations, Municipalities
1. Hotels and resorts Number
2. Campings Number
3. Rooms rentals Number
4. Other accommodation Number
5. Local houses/villas for weekly rental Number
6. Private summer houses Number
7. Beds in hotels Number
8. Beds in local houses/villas for weekly rental Number 9. Beds in campings (including huts/cabins) Number
10. Camping spaces for tents Number
11. Camping spaces for caravans Number
12. Beds in rental rooms Number
13. Beds in other accomodation Number
14. Businesses having to do with touristic activities (restaurants, bars, etc.)
Low season Number High season Number
D.3 Attractions County Administrative Board, Municipalities
1. Environment protected areas Number
Total area km2 2. Number of attendees of major cultural events Number
Project DELTA
Concerted coordination of the promotion of efficient
multimodal interfaces
Template
WP 2
Task 2.2 Data Collection Mechanism
Annex 2: Questionnaire
v.3 2009-04-24
Region:
April 2009
1
1. Aim of the questionnaire
The qualitative data (views of the stakeholders) to be collected in the DELTA project
is specified in this Questionnaire.
2. Instructions for data collection
Qualitative data and information from the interviews and other data sources
should be inserted into the Questionnaire template Word-file. Use one
questionnaire for each area/region. This means that several stakeholders may
need to be interviewed and several different data sources consulted in order to
answer the questions.
Text responses
The free text responses mean that the stakeholders (subjects) answer is to be
quoted in a separate row in the tables of the questionnaire.
Ratings
Some questions ask for ratings of different alternatives. Please indicate high –
low (importance, relevance, effects, etc.) on a 5-1 where 5 equals “high” (good,
much, large, etc.) and 1 equals “low” (or unacceptable, little, small, etc) .
Choices
In some cases, there are also fixed answer alternatives marked with letters (A, B,
C, etc.). In such cases the appropriate alternative must be marked clearly, e.g.
with bold text or a circle (for example see question A.1.2).
April 2009
2
3. Profile of the interviewee (subject)
Interviewee 1
Name of organization or company
Type of organization or company
Role of the organization or company in
the region
Name of the interviewee
Position in the organization or
company
Address
Telephone
Fax
Interviewee 2
Name of organization or company
Type of organization or company
Role of the organization or company in
the region
Name of the interviewee
Position in the organization or
company
Address
Telephone
Fax
April 2009
3
4. Data sources
Data sources can be written, published sources (e.g. statistics, reports, maps etc.).
Please specify data sources here:
Data source 1
Data source 2
Etc.
April 2009
4
5. Questions
A. Region characteristics
1. Geographical data
1. Topography/Geography (Describe type of area and landform of the
region, for example seaside, lakeside, inland, mountain area):
Highest point (meters above sea level):
Lowest point (meters above sea level):
Interviewee No:
Data source No:
2. Climate zone
(http://sv.wikipedia.org/wiki/Fil:World_Koppen_Map.png)
A. Mediterranean climate
B. Temperate mediterranean climate
C. Temperate oceanic climate
D. Alpine
E. Temperate continental climate
F. Cool continental climate
Comments:
Interviewee No:
Data source No:
3.
Describe whether the climate conditions set some limits for the
mobility (For example extreme winds):
Interviewee No:
Data source No:
2. Demographic data
April 2009
5
3. Socioeconomic data
1.
Regional economy (describe/approximate the major lines of
business in the region in %):
A. Agriculture
B. Tourism
C. Industry
D. Service
E. Transport
F. Other
Comments:
Interviewee No:
Data source No:
4. Environmental characteristics
1.
Environmentally protected areas (nature/cultural heritage)
Specify no of areas:
Total size of areas (km2):
Describe whether these areas are very much exposed to tourism:
5
4
3
2
1
Comment:
Interviewee No:
Data source:
2.
Level of pollution problem (grade you experience of the pollution
and describe the general situation and also whether it varies for
the studied site):
5
4
3
2
1
Comment:
April 2009
6
3.
Level of noise disturbance (Describe your experience of the
situation and whether it varies for the studied site. Describe
whether it is a problem. Number of disturbed people?):
5
4
3
2
1
Comment:
April 2009
7
B. Transport infrastructure
1. General information
1. Major gateways to the region (Describe gateways for road, rail,
waterborne, air transport and their relative importance for tourism):
5
4
3
2
1
A. Major motorway
B. Road
C. Railway
D. Waterway
E. Airway
F. Other
Comments:
Interviewee No:
Data source No:
2. Funding and infrastructure investments in the region
compared to
other parts of the country:
Interviewee No:
Data source No:
3. Legislative framework for transport infrastructure (including actors
responsible for developing the transport infrastructure, availability of
funding for handling tourism traffic):
Interviewee No:
Data source No:
4. Describe PPP (Private Public Partnership), including funding (revenues
used to fund the transport system in the region):
April 2009
8
Interviewee No:
Data source No:
2. Road network
1. Rate the local stakeholder’s views on the capacity of the network:
5
4
3
2
1
Comments:
Interviewee No:
Data source No:
2. Rate the local stakeholder’s views on the condition of the network:
5
4
3
2
1
Comments:
Interviewee No:
Data source No:
3. Rate the availability of parking space in the region:
5
4
3
2
1
Comments:
Interviewee No:
Data source No:
4. Are there any problems with the road network:
5
4
3
2
1
Comments:
Interviewee No:
Data source No:
3. Railway network
Not relevant
April 2009
9
1. Distance from the various railway stations to attractions and where
people stay:
0-10 km
11-100 km
101-200 km
>200 km
Comments:
Interviewee No:
Data source No:
2. Rate the local stakeholder’s views on the condition of the network:
5
4
3
2
1
Comments:
Interviewee No:
Data source No:
3. Is there free capacity on the railway?
Yes
No
Comments:
Interviewee No:
Data source No:
4. Are there any problems with the railway network:
5
4
3
2
1
Comments:
Interviewee No:
Data source No:
4. Waterways
Not relevant
1. Distance from the various harbours to attractions and where people
stay:
April 2009
10
Comments:
Interviewee No:
Data source No:
2. Please rate the local stakeholder’s views on the quality of the waterway
transport system:
5
4
3
2
1
Comments:
Interviewee No:
Data source No:
3. Is the capacity of the port(s) high/low in relation to demand
(passengers, cars - high season)?
High
Low
Comments:
Interviewee No:
Data source No:
4. Are there any problems with the waterway transport system?
5
4
3
2
1
Comments:
Interviewee No:
Data source No:
5. Airways
Not relevant
1. Distance from the airport(s) to attractions and where people stay:
0-10 km
11-100 km
101-200 km
>200 km
Comments:
April 2009
11
2. Please rate the local stakeholder’s views on the quality of the airway
transport system:
5
4
3
2
1
Comments:
Interviewee No:
Data source No:
3. Is there free capacity in the airports?
Yes
No
Comments:
Interviewee No:
Data source No:
4. Are there any problems with the airway transport system?
5
4
3
2
1
Comments:
Interviewee No:
Data source No:
6. Intermodal infrastructure
Not relevant
1. Availability of interchange terminals:
5
4
3
2
1
Comments:
Interviewee No:
Data source No:
2. Draw lines between the types of modes that are connected in interchange
terminals:
April 2009
12
A. Road
B. Railway
C. Waterway
D. Airway
A. Road
B. Railway
C. Waterway
D. Airway
Comments:
Interviewee No:
Data source No:
3. Quality of interchange terminals (including for example function and
problems):
5
4
3
2
1
Comments:
Interviewee No:
Data source No:
4. Rate the frequency of use of the interchange terminals (What travel
groups, for example tourists and locals, use the terminals?):
5
4
3
2
1
Comments:
April 2009
13
C. Transport systems & Mobility
1. General information
1. What are the main types of traffic accidents in the region?
Interviewee No:
Data source No:
2. Describe the average travel times between major and popular
destinations (high and low season)?
Interviewee No:
Data source No:
3. Describe ways of transport to major events/venues?
Interviewee No:
Data source No:
4.
What are the main causes that contribute to traffic congestion or
other disturbances?
5 4 3 2 1
A. Bad transport network
B. Insufficient transport network
C. Lack of alternatives modes of transport
D. Lack of cooperation between modes of transport
E. Public transport of low quality
F. Low frequency of public transport services
G. High fares in alternative modes of transport
April 2009
14
H. Lack of information regarding alternatives modes of
transport and available routes
I. Lack of on line booking systems for local tourism
services having as a result the creation of
unnecessary trips
J. Lack of systems for mobility support
K. Lack of traffic management centres
L. Unnecessary use of cars for short trips
M. Lack of cycle lanes
N. Lack of free parking spots
O. Lack of legal parking spots
P. High cost of available parking spots urging citizens to
illegal parking causing traffic congestion
Q. Other
R. …
S. …
Comments:
Interviewee No:
Data source No:
5.
Rate the most important effects caused by the seasonal traffic in
your region:
5 4 3 2 1
Congestion in the transport routes
Damage of the transport infrastructure
Increased travel times
Low quality of offered services
Severe noise pollution
April 2009
15
High CO2 emissions
Damage to the natural environment
Harms to the historical sites
Energy loss
Increase of the number of accidents
Other
…
…
Comments:
Interviewee No:
Data source No:
6.
Give a general description of the organisation of transport planning
in the region
(including what organisation(s) are involved and if they
are public, private, etc):
Interviewee No:
Data source No:
7.
Describe cooperation between organisations and possible problems
in transport planning
(does the
cooperation work?):
Interviewee No:
Data source No:
8.
Describe the funding/subsidising system of public transport:
Interviewee No:
Data source No:
9. Please rate the effectiveness of policies and measures defined by the local
authorities in order to avoid transport congestion during seasons of high
April 2009
16
transport demand:
5 4 3 2 1
A. More effective cooperation between the existing
transport modes
B. Implementation of innovative mobility schemes
C. Use of ITS services
D. Facilitate the accessibility to and from the major
gateways (ports, airports, etc.)
E. Increase the public transport network and improve
the services
F. Creation of free parking spots
G. Temporary traffic measures
H. Increase of available routes offered by public
transport modes
I. Rescheduling of public transport services (e.g. more
frequent journeys)
J. Other
K. …
L. …
Comments:
Interviewee No:
Data source No:
10.
Describe relevant national and regional policies and their
effectiveness:
Interviewee No:
Data source No:
April 2009
17
Comments:
A. Variable speed limits
B. Variable lanes
C. Increased PT
D. Other
E. ….
Interviewee No:
Data source No:
12.
Special mobility schemes used:
Comments:
A. Car sharing
B. Car pooling
C. Park & ride
D. Demand-responsive
transit (DRT)
E. Other
F. ….
Interviewee No:
Data source No:
13. Are there special offers during high season for different transport
means? Describe:
Yes
No
Comments:
Interviewee No:
Data source No:
April 2009
18
scheme? (What are the parking costs?)
Yes
No
Comments:
Interviewee No:
Data source No:
15. Please mention specific needs and requirements in mobility management
in your region that would facilitate the handling of seasonal traffic
peaks:
Interviewee No:
Data source No:
2. Road transport
1. Describe travel patterns with:
A. Private cars
B. Rented cars
C. Motorcycles
D. Rented motorcycles
E. Mopeds
F. Rented mopeds
G. Public transport
H. Bicycles
I.
Rented bicycles
J.
Other
April 2009
19
2. Existing types of bus services:
Interviewee No:
Data source No:
3. Frequency of bus and shuttle service (give a general description for a
selection of three routes of each type):
Interviewee No:
Data source No:
4. Give a general description of public transport (bus) transport capacity
and problems (e.g. flexibility in number of busses and chauffeurs
related to season, quality of extra buses during high season):
Interviewee No:
Data source No:
3. Railway transport
Not relevant
1. Major tourist routes (origin and destination) and travel times (high
season):
Interviewee No:
Data source No:
2. Is there any transfer from railway stations to attractions and hotels?
What types of transfer?
Interviewee No:
Data source No:
April 2009
20
(e.g. flexibility in number of carriages and departures related to
season,):
Interviewee No:
Data source No:
4. Waterway transport
Not relevant
1. Major tourist routes (origin and destination) and travel times (high
season):
Interviewee No:
Data source No:
2. Is there any transfer from harbours to attractions and hotels? What
types of transfer?
Interviewee No:
Data source No:
3. Give a general description of the waterway transport capacity and
problems (e.g. flexibility in number of boats and chauffeurs related to
season, quality of extra boats during high season):
Interviewee No:
Data source No:
5. Air transport
Not relevant
1. Major tourist routes (origin and destination) and travel times (high
season):
April 2009
21
Interviewee No:
Data source No:
2. Is there any transfer from airports to attractions and hotels? What
types of transfer?
Interviewee No:
Data source No:
6. Intermodal transport
Not relevant
1. Describe the coordination of time tables and schedules:
Interviewee No:
Data source No:
2. Describe campaigns to encourage intermodality:
Interviewee No:
Data source No:
3. Describe the effect of information directed to improve intermodality:
Interviewee No:
Data source No:
4. Are the general conditions for intermodal travel favourable in the
region:
Yes
No
Comments:
April 2009
22
7. ITS services
Not relevant
1. Describe the availability of booking systems for local tourism services:
Interviewee No:
Data source No:
2. Describe systems for mobility support (e.g. signs at stations and
terminals):
Interviewee No:
Data source No:
3. Describe Traffic Management Centres - services provided:
Interviewee No:
Data source No:
8. Travellers information (non-ITS)
Not relevant
1. Describe official information:
Interviewee No:
Data source No:
2. Describe business information:
April 2009
23
9. Travellers perspectives
1. Describe the mobility requirements of a typical tourist in the specific
region:
April 2009
24
D. Seasonal characteristics
1. Tourist season
1. Define high and low season:
Number
of days
A. Low season
J
F M A M J
J
A S O N D
B. High season
J
F M A M J
J
A S O N D
Comments:
Interviewee No:
Data source No:
2. Tourists origins
1. Describe the main origins of tourists in the region:
A. Regional tourists
B. National tourists
C. International tourists
Comments:
Interviewee No:
Data source No:
3. Nationalities of tourists
1. What are the main nationalities of international tourists in the region:
Interviewee No:
Data source No:
4. Demand
April 2009
25
A. Local:
B. Regional:
C. National:
D. International:
Comments:
Interviewee No:
Data source No:
2.
Describe different tourist categories main interests in the
area/region:
A. Local tourists
B. Regional tourists
C. National tourists
D. International tourists
Comments:
Interviewee No:
Data source No:
5. Supply
1.
Describe special activities offered:
Comments:
A. Scuba diving
B. Hiking
C. Climbing
D. Horseback riding
E. Guided tours
F. Bathing/swimming
April 2009
26
G. Waters sports
H. Golf
I.
Other
J.
…
Interviewee No:
Data source No:
2.
Rate the availability of tourist information centres:
5
4
3
2
1
Comments:
Interviewee No:
Data source No:
6. Attractions
1. Which are, in your opinion, the main attractions in your region during
specific periods (multiple answers may be applicable):
5 4 3 2 1
A. The sea, river or lake
B. Activities related to the sea, river or lake (scuba
diving, rafting, etc)
C. Activities related to the mountains (hiking, climbing
etc)
D. Historical monuments and sites
E. Nature objects or sites (biotopes, nature reserves,
etc.)
F. Luxurious hotels
G. Camping areas
H. Spa resorts
April 2009