TY - CHAP
T1 - Telematics, Urban Freight Logistics, and Low Carbon Road Networks
AU - Walker, Guy H
AU - Manson, Alastair
PY - 2017
Y1 - 2017
N2 - Eighty percent of the UK population now lives in an urban area. This drives increasing urban freight movements which, in turn, interact with dense street networks and a strong planning incentive to maximize their capacity and reduce vehicle emissions (Hesse and Rodrigue, 2004). Telematics, in the form of route guidance, is a key enabler for this. There is good evidence for the positive benefits telematics can have (e.g., Asvin, 2008; Dutton, 2011; Giannopoulos, 1996, etc.) but as this technology continues along the s-curve toward full market saturation there are some fundamental questions that still need to be explored. Are some urban road network topologies more energy efficient when paired with telematicstechnology than others? If so, to what extent might it influence a telematics strategy? Do all drivers have to have complete knowledge of traffic conditions? How realistic is this assumption anyway? Is it safe to assume that having invested in telematics drivers will adhere to route guidance information in all cases? Research (e.g., Bonsall, 1992; Bonsall and Palmer, 1999; Chorus et al., 2006; Karl and Bechervaise, 2003; Lyons et al. 2008, etc.) shows that between 30% and 50% of drivers do not: what happens then? Clearly, the success of telematics technology is heavily contingent on factors like these and this study provides an initial exploration.
AB - Eighty percent of the UK population now lives in an urban area. This drives increasing urban freight movements which, in turn, interact with dense street networks and a strong planning incentive to maximize their capacity and reduce vehicle emissions (Hesse and Rodrigue, 2004). Telematics, in the form of route guidance, is a key enabler for this. There is good evidence for the positive benefits telematics can have (e.g., Asvin, 2008; Dutton, 2011; Giannopoulos, 1996, etc.) but as this technology continues along the s-curve toward full market saturation there are some fundamental questions that still need to be explored. Are some urban road network topologies more energy efficient when paired with telematicstechnology than others? If so, to what extent might it influence a telematics strategy? Do all drivers have to have complete knowledge of traffic conditions? How realistic is this assumption anyway? Is it safe to assume that having invested in telematics drivers will adhere to route guidance information in all cases? Research (e.g., Bonsall, 1992; Bonsall and Palmer, 1999; Chorus et al., 2006; Karl and Bechervaise, 2003; Lyons et al. 2008, etc.) shows that between 30% and 50% of drivers do not: what happens then? Clearly, the success of telematics technology is heavily contingent on factors like these and this study provides an initial exploration.
U2 - 10.1201/9781315370460-19
DO - 10.1201/9781315370460-19
M3 - Chapter
SN - 9781498726177
T3 - Industrial and Systems Engineering Series
SP - 225
EP - 242
BT - Human Factors in Transportation
A2 - Di Bucchianico, G.
A2 - Vallicelli, A.
A2 - Stanton, N. A.
A2 - Landry, S. J.
PB - CRC Press
ER -