scispace - formally typeset
K

Kees Maat

Researcher at Delft University of Technology

Publications -  70
Citations -  5230

Kees Maat is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Travel behavior & Mode choice. The author has an hindex of 27, co-authored 70 publications receiving 4352 citations.

Papers
More filters
Journal ArticleDOI

The influence of financial incentives and other socio-economic factors on electric vehicle adoption

TL;DR: In this paper, the authors examined the relationship between financial incentives, charging infrastructure, and local presence of production facilities to determine the relationship of one such policy instrument (consumer financial incentives) to electric vehicle adoption.
Journal ArticleDOI

Commuting by Bicycle: An Overview of the Literature

TL;DR: This article conducted a survey of the current literature in order to identify the determinants for commuting by bicycle and found many determinants, not all of which are addressed by conventional mode choice studies and models.
Journal ArticleDOI

Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands

TL;DR: An innovative method that combines GPS logs, Geographic Information System (GIS) technology and an interactive web-based validation application is presented, demonstrating that GPS-based methods now provide reliable multi-day data.
Journal ArticleDOI

The role of attitudes toward characteristics of bicycle commuting on the choice to cycle to work over various distances

TL;DR: This paper analyzed the influence of commuters' attitudes toward the benefits of travel by bicycle (e.g. convenience, low cost, health benefits) on the mode choice decision for commutes to work.
Journal ArticleDOI

A method to evaluate equitable accessibility: combining ethical theories and accessibility-based approaches

TL;DR: In this paper, the authors present the case that traditional transport appraisal methods do not sufficiently capture the social dimensions of mobility and accessibility and propose a method to assess the socially relevant accessibility impacts (SRAIs) of policies in some of these key dimensions.