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10. The London 2012 Games and their legacy – an update Growth Boroughs and comparators in either person trip rates or car ownership, although the latest data are suggestive of a particular increase in car ownership rates in Barking & Dagenham and a substantial fall in Tower Hamlets, which may particularly be associated with rapid population growth. Taken across the Growth Boroughs as a whole these trends – of a broadly stable trip rate and modest reduction in the rate of car ownership – would be consistent with both legacy and wider transport strategy goals. It should be borne in mind, of course, when interpreting comparisons such as these, that the Growth Boroughs, whether in inner or outer London, will predominantly tend to share the characteristics of either inner or outer London, and it is in this context that features such as the particularly low person trip rate for residents of Hackney should be seen. Trip rates by mode for residents of Growth Boroughs While foreseeing growing overall volumes of travel in the Growth Boroughs, reflecting increasing population and economic activity, a key transport goal is that higher proportions of this travel are undertaken on public transport and, in particular, by walking or cycling. The popularity of these latter two ‘active travel’ modes is expected to benefit from the wider ‘sporting legacy’ of the Games, as well as substantial investment in facilities designed to encourage their use. Table 10.6 looks at trip rates for residents (the average number of trips made per person per day) by overall main mode. In interpreting this table it is important to be aware that the criterion for inclusion is being resident in the appropriate area. The trips themselves may however have been made elsewhere. Table 10.6 Person trip rates for Olympic Growth Boroughs. Average number of trips per day for residents over five years of age – by main mode. Seven-day week, multi-year averages. Borough/area Resident trip rate car driver and passenger Resident trip rate PT Resident trip rate walking and cycling (combined) 2009/10- 2011/12 2013/14- 2014/15 2009/10- 2011/12 2013/14- 2014/15 2009/10- 2011/12 2013/14- 2014/15 Barking & Dagenham 0.9 0.9 0.6 0.6 0.5 0.6 Greenwich 0.9 1.1 0.6 0.8 0.6 0.7 Hackney 0.3 0.4 0.8 0.8 0.7 0.8 Newham 0.6 0.6 0.9 0.9 0.9 0.8 Tower Hamlets 0.4 0.4 0.8 0.9 1.1 1.1 Waltham Forest 0.7 0.9 0.6 0.7 1.1 0.9 Growth total/average 0.6 0.7 0.7 0.8 0.8 0.8 ‘Geographic’ comparison 0.9 0.9 0.8 0.8 0.9 0.9 ‘Most similar’ comparison 0.8 0.8 0.8 0.8 0.8 0.9 Non-legacy boroughs 1.0 0.9 0.7 0.7 0.8 0.8 Inner London 0.6 0.5 0.9 0.9 1.0 1.0 Outer London 1.2 1.1 0.6 0.6 0.7 0.7 Greater London 0.8 0.9 0.7 0.7 0.8 0.8 Source: TfL Planning, Strategic Analysis. 194 Travel in London, Report 8
10. The London 2012 Games and their legacy – an update Table 10.6 reveals a great deal of disparity between person trip rates and mode use across the six Growth Boroughs. Looking first at car travel, the highest rates among the Growth Boroughs are found for residents of Barking & Dagenham, Greenwich and Waltham Forest, although these are not substantially different to the relevant comparator for outer London. Hackney and Tower Hamlets are notable for relatively low car trip rates – each with an average of less than half a car trip per resident per day. Public transport trip rates for residents of the Growth Boroughs however tend to be typical of the relevant comparators. On the basis of this comparison there is as yet little evidence of systematic change. At the ‘all Growth Boroughs’ level both car and public transport trip rates are effectively the same before and after the Games. Looking at trip rates for walking and cycling – the two ‘active’ modes of travel, table 10.6 shows a very mixed picture. Residents of Tower Hamlets and Waltham Forest walk and cycle considerably more, on average, than the relevant comparators. This pattern is thought to reflect particular socio-demographic and economic factors relating to residents of these boroughs. It is not therefore a ‘Games effect’ itself, and it does not necessarily follow that increasing walk and cycle trip rates in boroughs such as these would be a predictable or desirable legacy outcome, despite the health benefits attributed to these modes of travel. Mode shares for public transport for all London residents making trips that originate in the Growth Boroughs It is possible to extend this analysis by looking specifically at public transport mode share, by either Growth Borough residents or, as in this case; by all residents of Greater London making trips in the Growth Boroughs (table 10.7). This is a potentially interesting perspective, as it should ultimately be possible to understand the extent to which travel behaviour change is specifically a feature of people who live in the Growth Boroughs, who may be ‘new’ to the area, or is reflective more generally of London residents, as a response to changed transport provision in the Growth Boroughs. 195 Travel in London, Report 8
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