Fiona Crawford's Outputs (10)

Baseline synthesis: Transforming cities fund national evaluation (2024)
Report

Between 2018/19 and 2022/23, the Department for Transport allocated the £2.45bn Transforming Cities Fund across 18 English city regions – to support delivery of sustainable transport improvements which would enhance intra-city connectivity and boost... Read More about Baseline synthesis: Transforming cities fund national evaluation.

Perceived accessibility of employment sites by jobseekers and the potential relevance of employer-subsidised demand responsive transport to enhance the commute (2022)
Journal Article

The constraints placed by the transport options available to job-seekers are key factors for the accessibility of employment locations and therefore social inclusion. The present paper investigates the importance of these constraints and the potentia... Read More about Perceived accessibility of employment sites by jobseekers and the potential relevance of employer-subsidised demand responsive transport to enhance the commute.

Cyclist and pedestrian trust in automated vehicles: An on-road and simulator trial (2022)
Journal Article

Automated vehicles (AVs) need to be trusted by cyclists and pedestrians where they will share the road. To test trust, cyclists and pedestrians, and a comparison cohort of drivers, observed trials of both a road and simulator AV undertaking three com... Read More about Cyclist and pedestrian trust in automated vehicles: An on-road and simulator trial.

Changing work and work-related travel and the impact of Covid-19 (2021)
Journal Article

The nature of work was undergoing dramatic change before the pandemic as the digital age continued to transform all sectors of society. In this paper we describe pre-pandemic trends in types of work, the workforce and working arrangements in the UK.... Read More about Changing work and work-related travel and the impact of Covid-19.

Analysing spatial intrapersonal variability of road users using point-to-point sensor data (2021)
Journal Article

The availability of newly emerging forms of data in recent years has provided new opportunities to study spatial intrapersonal variability, namely the variability in an individual’s destination and route choices from day to day. As well as providing... Read More about Analysing spatial intrapersonal variability of road users using point-to-point sensor data.

Technology enabled data for sustainable transport policy (2021)
Book Chapter

The explosive growth of New and Emerging Data Forms (NEDF) has enabled profound new insights into human behavior, especially related to mobility. NEDF are facilitated by technologies such as smartphones, sensor networks and distributed computing arch... Read More about Technology enabled data for sustainable transport policy.

Segmenting travellers based on day-to-day variability in work-related travel behaviour (2020)
Journal Article

Travel needs for commute and business trips are complex and choices are not made based on the characteristics of individual trips, but instead based on the needs over weeks and months. For example, the cost per trip of commuting by bus varies dependi... Read More about Segmenting travellers based on day-to-day variability in work-related travel behaviour.

The potential for personalised public transport solutions to enhance job seekers' access to employment sites. (2018)
Presentation / Conference Contribution

This paper examines the importance of the accessibility of employment locations to job-seekers’ perceived work options. It investigates the potential of an employment site-oriented Personalised Collective Transport Service (PCTS) to help solve the li... Read More about The potential for personalised public transport solutions to enhance job seekers' access to employment sites..

Identifying road user classes based on repeated trip behaviour using Bluetooth data (2018)
Journal Article

© 2018 The Authors Analysing the repeated trip behaviour of travellers, including trip frequency and intrapersonal variability, can provide insights into traveller needs, flexibility and knowledge of the network, as well as inputs for models includin... Read More about Identifying road user classes based on repeated trip behaviour using Bluetooth data.

A statistical method for estimating predictable differences between daily traffic flow profiles (2016)
Journal Article

It is well known that traffic flows in road networks may vary not only within the day but also between days. Existing models including day-to-day variability usually represent all variability as unpredictable fluctuations. In reality, however, some o... Read More about A statistical method for estimating predictable differences between daily traffic flow profiles.