The final output from the accessibility calculation methodology case study was a series of maps that show the spatial variation in accessibility across the Christchurch urban area, by age group, activity type and transportation mode.

The two summary outputs were the maps of the consumed comprehensive accessibility score (figure 16.1) and the employment comprehensive accessibility score (figure 16.2). A full series of graphical outputs from the model are included in appendix F1.

Figure 16.1   Consumed comprehensive accessibility score, Christchurch city

Fig 5_1

Accessibility to the consumed activities is greatest in the central city and decreases as the distance from the centre of the city increases. Spokes of higher accessibility can be seen radiating from the centre along the major arterial routes of Blenheim, Pages and Lincoln Roads. It also highlights the lowest (non-rural) levels of accessibility occur in the outer suburbs of Sumner, Halswell and Templeton.

Accessibility decreases in the immediate centre of the CBD due to the network model excluding private vehicles from Cathedral Square. This prevents access for these central meshblock centroids to the private vehicle network, reducing their calculated accessibility score.

Figure 16.2   Employment comprehensive accessibility score, Christchurch city

Fig 5_2

The accessibility to places of employment in Christchurch city (figure 16.2) is strongly centred around the CBD, with a noticeable ridge of accessibility extending down the commercial/industrial Blenheim road corridor and another ridge of higher employment between Memorial and Harewood avenues, due to the presence of the airport, the technology park on Sir William Pickering Drive and Northlands in Papanui. The alignment of these ridges of higher accessibility is also influenced by the alignment of major arterial roads which make it easier to commute from these areas to other parts of the city, especially the CBD.

The distant residential suburbs of New Brighton, Sumner, Templeton, Halswell and Belfast have lower levels of accessibility to places of employment due to the increase in commuting distances compared with the rest of the city.