This deliverable is part of WP3, and more specifically T3.1 “Design of data collection techniques and tools”. The goal of this deliverable is to present the sampling strategy and the data collection techniques and tools that will be used in HARMONY pilot areas to collect the data needed for modelling purposes in WP4 to WP8. More specifically, it focuses on designing the questionnaires, preparing and customising the smartphone-based travel survey tool for collecting primary data, designing the survey participants support interfaces (helpdesks), as well as developing the sampling strategies to be used in each pilot area. For the pilot cities of Oxfordshire and Turin was designed a passenger survey for each one of them. The questionnaires for ...
The following document is ‘Deliverable 3.3 Report on data collection campaigns’ in the framework of ...
Paratransit forms the basis of public transport systems in many of worlds emerging cities. However, ...
Data quality does not only refer to statistical characteristics of the respective dataset, but also ...
Evidence-based transportation planning and decision-making relies on accurate data and analysis. In ...
Abstract: Travel surveys are used to estimate the percentage of citizen using certain mode(s) of...
The H2020 funded project HARMONY aims to develop a new generation of harmonised spatial and multimod...
This paper introduces a smartphone-based system for performing personal travel data collection. The ...
Traditional travel behaviour surveys or data collection are facing to the various problems resulting...
This deliverable (D4.4) aims to introduce the strategy per each scenario defined in WP2 to engage th...
These two datasets were collected within the context of the PAsCAL research project between November...
AbstractThis workshop examined the range of portable devices, their advantages and limitations in te...
PDFTech ReportZ-14-04UTRC/RF Grant No: 49198-42-27, 55606-02-27Data collectionTravel behaviorForecas...
The overall purpose of the project is to conduct a demonstration study that shows how two data colle...
This study introduces a new smartphone-based system for performing personal travel data collection. ...
Presenting the e-Mobility project, studying the potential of shared electric cars within co-housing ...
The following document is ‘Deliverable 3.3 Report on data collection campaigns’ in the framework of ...
Paratransit forms the basis of public transport systems in many of worlds emerging cities. However, ...
Data quality does not only refer to statistical characteristics of the respective dataset, but also ...
Evidence-based transportation planning and decision-making relies on accurate data and analysis. In ...
Abstract: Travel surveys are used to estimate the percentage of citizen using certain mode(s) of...
The H2020 funded project HARMONY aims to develop a new generation of harmonised spatial and multimod...
This paper introduces a smartphone-based system for performing personal travel data collection. The ...
Traditional travel behaviour surveys or data collection are facing to the various problems resulting...
This deliverable (D4.4) aims to introduce the strategy per each scenario defined in WP2 to engage th...
These two datasets were collected within the context of the PAsCAL research project between November...
AbstractThis workshop examined the range of portable devices, their advantages and limitations in te...
PDFTech ReportZ-14-04UTRC/RF Grant No: 49198-42-27, 55606-02-27Data collectionTravel behaviorForecas...
The overall purpose of the project is to conduct a demonstration study that shows how two data colle...
This study introduces a new smartphone-based system for performing personal travel data collection. ...
Presenting the e-Mobility project, studying the potential of shared electric cars within co-housing ...
The following document is ‘Deliverable 3.3 Report on data collection campaigns’ in the framework of ...
Paratransit forms the basis of public transport systems in many of worlds emerging cities. However, ...
Data quality does not only refer to statistical characteristics of the respective dataset, but also ...