Future prospects for personal security in travel by public transport

This work was supported by the Engineering and Physical Sciences Research Council [grant number EP/I037032/1]. No other funding support from any other bodies was provided.Peer reviewedPublisher PD

Personal security in travel by public transport : the role of traveller information and associated technologies

Acknowledgement This research reported in this paper has been funded by a grant award from the Engineering and Physical Sciences Research Council: EP/I037032/1.Peer reviewedPublisher PD

The future security of travel by public transport : A review of evidence

Peer reviewedPostprin

Spatial Patterns of Micromobility Ridership: A Multi-City Analysis

Lightweight, electricity-powered vehicles such as electric bicycles and scooters, known as micromobility, are expanding rapidly in urban areas worldwide. Micromobility holds a promising potential in improving transportation by a number of means, including filling public transportation gaps and reducing dependence upon the private car and thereby internal combustion engine emissions. As a result of the proliferation of micromobility sharing schemes around the world, ridership trajectories can be obtained. Through Ridereport (https://www.ridereport.com), datasets have been acquired from several cities (Santa Monica, California, USA; San Francisco, California, USA; Portland, Oregon, USA; Austin, Texas, USA; Auckland, New Zealand; and Melbourne, Victoria, Australia), this work analyzes the spatial patterns of micromobility which can be obtained from these datasets using the open-sourced exploratory spatial data analysis software, GeoDa. Across all cities, micromobility ridership exhibits positive spatial dependence. Meaning places with high micromobility ridership tend to cluster spatially. This spatial dependence has been explored further using Local Indication of Spatial Association (LISA) coupled with aerial imagery for qualitative assessment. Five themes related to high micromobility ridership spatial clusters were able to be detected (i.e., major thoroughfares, bridges, trails and open spaces, transits, and Hubs). The study contributes methodologically to the field of geographic information systems (GIS) and operationally to the field of transportation

Digital Interlooping: 3D printing of weft-knitted textile-based tubular structures using selective laser sintering of nylon powder.

3D printing is a form of digital additive manufacture whereby the building up of layers of material creates objects. The selective laser sintering process (SLS) uses a laser beam to sinter powdered material to create objects. This paper discusses the materialisation of 3D printed textile based tubular forms that utilise the primary structures of knit. Both single-face and double-face weft knitted structures at various sizes are tested for their flexibility and extensibility. This paper builds upon previous research into 3D printed textile based structures exploring the use of SLS of Nylon powder to create flexible weft knitted structures. The results show the potential to print flexible, tubular textile based structures at various scale that exhibit the properties of traditional knitted textile structures along with the mechanical properties of the material used to print with. The conclusion highlights the potential future development and application of such pieces within apparel related industries

Transport visions network - Report 6 - Long distance travel

This is the sixth in a series of reports to be produced by the Transport Visions Network. The Network is a novel venture to project the views of young professionals into the debate concerning the future of transport and its role in society. It is comprised of individuals who are aged 35 or under from universities, consultancies and public authorities both in the UK and overseas.This report presents the Network's views on the future of long distance travel. It begins by considering the current and projected future context for long distance travel. It discusses present policy approaches before introducing the Network's own ideas and solutions which are presented under four headings: 1. Domestic Business Travel; 2. Domestic Leisure Travel; 3. International Business Travel; and 4. International Leisure Travel. Each section concludes with a vision for the future of long distance travel based on the integration of ideas and solutions developed in the section. The visions are presented in the form of a series of personal accounts from individuals in the future

A conceptual framework for land use and metro infrastructure

Acknowledgements Thanks are extended to the members of Strathclyde Partnership for Transport who participated in the semi-structured interview for this paper and the wider research currently being undertaken. Thanks are also extended to Mr Malcolm Payne, Principal Infrastructure Protection Engineer, of London Underground for his input in to this paper and the wider research currently being undertaken.Peer reviewedPostprintPublisher PD

Transport visions network - Report 7 - Freight and logistics

This is the seventh in a series of reports to be produced by the Transport Visions Network. The Network is a novel venture to project the views of young professionals into the debate concerning the future of transport and its role in society. It is comprised of individuals who are aged 35 or under from universities, consultancies and public authorities both in the UK and overseas.This report offers a range of solutions to problems associated with goods movement. It begins with a consideration of the current and expected future context for the operation of freight and logistics in the UK. It considers present policy approaches to the problems of goods movement before introducing the Network's own ideas and visions which are developed under three different scenarios for the future of society: Going Global; Nation State; and Local Living

Modelling Cyclists Route Choice Using Strava and OSMnx : A Case Study of the City of Glasgow

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.Peer reviewedPublisher PD

Accounting for Spatial Heterogeneity Using Crowdsourced Data

Acknowledgments The authors would like to acknowledge the following data source: Strava Inc. Economic and Social Research Council. Strava Metro data - Scotland, Glasgow, Manchester, Tyne and Wear [data collection]. University of Glasgow - Urban Big Data Centre.Peer reviewedPublisher PD