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Research 350 - NZ Transport Agency

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ECONOMIC DEVELOPMENT BENEFITS OF TRANSPORT INVESTMENT<br />

• Whether SCBA is used alone or in combination with I-O analysis, regional economic<br />

appraisals should also take into account impacts on other regions and the national<br />

economy as a whole. Doing so would allow for an examination of inter-regional<br />

displacement effects – or at least in comparison to the broader national viewpoint. Not<br />

to do so risks presenting a distorted picture of net benefits (SCBA) or impacts (I-O<br />

analysis).<br />

5.3.4 Question 4.3<br />

• Several methods may be used to measure the impacts of transport development on<br />

specific socio-economic groups. These include financial appraisal, regression, survey<br />

work, census data, origin-destination data, multi-criteria analysis (MCA) and<br />

‘environmental justice’ approaches.<br />

• However, some of these (e.g. MCA) are of questionable reliability.<br />

• Cross-sectional information such as origin-destination (O-D) data, and, to some extent,<br />

census data may help identify specific groups benefiting from changes in transport<br />

infrastructure (e.g. unemployed, disabled, low income). Data which specifically and<br />

directly relate the groups in question to transport improvements (such as O-D data<br />

indicating travel time savings to low income earners) would be the most useful<br />

approach in this respect. Merely inferring causal relationships between broad indicator<br />

variables (such as arguing that a transport improvement has resulted in a nationwide<br />

improvement in the incomes of low income groups) is of questionable utility in the<br />

absence of firm theoretical/contextual backing.<br />

• The use of O-D data may have several drawbacks, however, including difficulties in<br />

attributing non-transport benefits, limitations on attributing net project benefits to<br />

specific sub-groups and the usage of differential unit values in benefit calculations.<br />

Further, cross-sectional approaches however, may be the lengthy timeframe involved in<br />

project assessment. For example the transport behaviour of a ‘lower income’ subgroup<br />

(and therefore the distribution of benefits) may change over time. This may<br />

complicate estimation efforts.<br />

• A partial solution to this issue may be the presentation of limited gross benefits based<br />

on O-D data ‘below the line’ in an SCBA.<br />

5.3.5 Question 4.4<br />

• While the above methodologies may provide some useful data to policymakers, in<br />

general, assessment of socio-economic impacts on specific groups should be seen as a<br />

complement to the broader use of SCBA, in the first instance.<br />

• As indicated, if policymakers are interested in determining the benefits (or otherwise)<br />

accruing to specific groups then O-D data disaggregated into defined social groups<br />

could be collected.<br />

• It is noted however, that this process will involve additional costs. Further, the<br />

difficulties and uncertainties associated with O-D data, noted above should not be<br />

ignored.<br />

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