research-journal

London Analytics Research Journal: Transport Research from Britain and Beyond

Introduction

Please send an email and let us know if you’d like to quote or cite the London Analytics Research Journal in your own publication.. The journal’s ISSN number is: 1756-025X

Issue 4: Network-wide speed-flow curves

Abstract

The network as a whole behaves in the same way that a single link does, with a measurable capacity, and exhibits a speed-flow relationship, based on empirical observations of network speeds and network flows, which follows the traditionally hockey-stick curve that represents the behaviour on individual links.

Read the full paper here: The Network Speed-Flow Curve

Issue 3: Cycle Flows and Weather: an algorithm for adjusting for ambient temperature and rainfall in cycle counts.

Abstract

This paper reports a successful estimation of the coeffficients to adjust observed cycle counts for changes in ambient temperature, rainfall, weekends, and bank holidays.

On Greater London’s main roads, which carry a significant proportion of London’s cycling, cycle flows rise on average by 1.8% for each degree Celsius increase in mean temperature on working days, and by 2.7% for each degree Celsius at weekends and bank holidays.

The presence of rainfall typically reduces flows by 9.1% on a working day, and by 13.9% on other days. This reflects a higher proportion of discretionary (“fair weather”) leisure travel at weekends, in contrast with utility (typically commuter) cycling during the week.

Read the full paper here: Quantifying the effects of weather on cycle flows in Greater London

Issue 2: the Mode Shift Benefit Matrix: Money for Walking

This paper was presented at the 2005 Money for Walking conference, organised by Living Streets and the Corporation for London.

This paper presents the mode-shift benefit matrix: a solution to the problem of how, cost-effectively, to calculate the economic value of the costs and benefits of a scheme that is designed to cause a modal shift.

Read the full paper here: The Mode-Shift Benefit Matrix

Issue 1: Cycling, Gender and Critical Mass

Download the full paper for on-screen viewing (pdf, 170kb), or the print-quality version, which is much larger (1MB).

Abstract

In this paper, I examine the evidence for the proposition that places with high cycling tend to have a higher proportion of female cyclists. Positive correlations supporting this are found within two separate data sets: the 2001 Census, and the London Area Travel Survey 2001. Comparisons are made to results from the Dutch annual national travel survey, which shows high cycling figures nationally and by individual province, sustained high modal share across all ages, including the over-75s, and a consistent balance between the numbers of male and female cyclists. Recent increases in the amount of cycling in Greater London (40% growth on the main road network, the TLRN, between 2001 and 2004), have been accompanied by an increase in the proportion of women within the cycling population, from 27% in 2001 to 40% in 2005