Who drops off web-based travel surveys? Investigating the impact of respondents dropping out of travel diaries during online travel surveys

K Wang, Y Liu, S Hossain, K Nurul Habib - Transportation, 2024 - Springer
Household travel surveys collect core datasets for modelling passenger travel demand.
However, the decline in survey completion rate has become a concern in recent years …

Use of smartphone panels for viable and cost-effective GPS data collection for small and medium planning agencies

L Flake, M Lee, K Hathaway… - Transportation Research …, 2017 - journals.sagepub.com
Historically, small and medium-sized metropolitan planning organizations (MPOs) have
been at a disadvantage when investing in new technologies to aid in the collection of …

Modalflow: cross-origin flow data visualization for urban mobility

I Pérez-Messina, E Graells-Garrido, MJ Lobo, C Hurter - Algorithms, 2020 - mdpi.com
Pervasive data have become a key source of information for mobility and transportation
analyses. However, as a secondary source, it has a different methodological origin than …

Predicting and applying differential response rates in address-based sampling for a household travel survey

M Bradley, A Bergman, M Lee… - Transportation …, 2015 - journals.sagepub.com
In recent years, the primary sampling method used for household travel surveys has shifted
steadily from random digit dial telephone contact to address-based sampling based on an …

Noncoverage errors in travel surveys due to mobile phone–only households

S Son, A Khattak, NK Kim - Transportation research record, 2013 - journals.sagepub.com
National and regional household travel surveys have conventionally sampled landline
telephone households through list-assisted random digit dialing. However, recent increases …

Misrecognition in a Sustainability Capital: Race, Representation, and Transportation Survey Response Rates in the Portland Metropolitan Area

RS Liévanos, A Lubitow, JA McGee - Sustainability, 2019 - mdpi.com
US household transportation surveys typically have limited coverage of and responses from
people of color (POC), which may lead to inaccurate estimation of POC transportation …

The annotation of global positioning system (GPS) data with activity purposes using multiple machine learning algorithms

S Reumers, F Liu, D Janssens, G Wets - Mobile technologies for …, 2014 - igi-global.com
The aim of this chapter is to evaluate whether GPS data can be annotated or semantically
enriched with different activity categories, allowing GPS data to be used in the future in …

[PDF][PDF] Multiple purpose tours and efficient trip chaining in Toronto: an analysis of the effects of land use and transit provision on mode choice and trip chaining using …

C Harding, Y Zhang, EJ Miller - Conference: 14th International …, 2015 - researchgate.net
Making use of a new passive transportation dataset, collected by the University of Toronto
Transportation Research Institute (UTTRI) in Fall 2014 and Winter 2015, a relatively new …

Advancing understanding of long-distance and intercity travel with diverse data sources

J Dowds, C Harvey, J LaMondia, S Howerter, H Ullman… - 2018 - escholarship.org
Long-distance travel is an ambiguous designation that is used to refer to an extremely
diverse set of trips, differing from one another in mode, distance, and purpose. Long …

A use-chain model to deal with uncertainties. A focus on GHG emission inventories

S Tonin, A La Notte, S Nocera - Carbon Management, 2016 - Taylor & Francis
The measurements necessary to estimate GHG emission inventories create uncertainty.
Currently emission inventories are built on statistical data, parameters and some “other …