Toggle Main Menu Toggle Search

Open Access padlockePrints

Investigating the Impact of Local Attractors and Generators of Freight Traffic: The Case Study of Newcastle University

Lookup NU author(s): Dr Paulus AditjandraORCiD, Dr Fabio Galatioto, Professor Margaret Carol Bell CBE, Dr Tom ZunderORCiD

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

Movements of HGVs in urban areas are often associated with a few major attractors, with Newcastle University a clear example in the city centre of Newcastle upon Tyne. Newcastle University (est. 1825) has over 100 buildings and facilities centred in a compact historic campus. Many of the facilities found within the city campus include shops, cafes, restaurants, offices, leisure centres and residential apartments. In order to investigate the traffic impacts, two traffic surveys in consecutive years 2012 and 2013 were conducted to monitor each vehicle entering the main University premises, showing an increase in car traffic entering the University premises from 71% to 77% whilst the LGV traffic was reduced from 26% to 22%. Five sites were used to collect the traffic data in five consecutive normal working days. Over 18500 vehicle visits to the University City Campus sites were identified in 2012; and over 23500 visits in 2013. This poses the question of whether and how the University can be serviced more sustainably. This paper, presents an analysis of the survey data collected, to investigate the contribution of the University as a traffic attractor as well as a generator and its impacts on the urban environment. The detailed vehicle characterisation of the survey into four different classes, namely light goods vehicle (LGV), heavy goods vehicle (HGV), coach or minibus, and cars (including taxis), enabled modelling of the effected network at a micro-scale to identify the impact of goods vehicle movements on local traffic, environment and congestion. The microsimulation enabled more effective traffic management strategies to be designed and evaluated.


Publication metadata

Author(s): Aditjandra P; Bell MC; Zunder T; Galatioto F

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Unpublished

Conference Name: 46th Annual UTSG Conference

Year of Conference: 2014


Share