  As more and more people continue to live in highly urbanised areas across the
globe, reliable accessibility to amenities and services plays a vital role in
sustainable development. One of the challenges in addressing this issue is the
consistent and equal provision of public services, including transport for
residents across the urban system. In this study, using a novel computational
method combining geometrical analysis and information-theoretic measures, we
analyse the accessibility to public transport in terms of the spatial coverage
of the transport nodes (stops) and the quality of service at these nodes across
different areas. Furthermore, using a network clustering procedure, we also
characterise the land-use pattern of those areas and relate that to their
public transport accessibility. Using Singapore as a case study, we find that
the commercial areas in the CBD area expectedly have excellent accessibility
and the residential areas also have good to very good accessibility. However,
not every residential area is equally accessible. While the spatial coverage of
stops in these areas is very good, the quality of service indicates substantial
variation among different regions, with high contrast between the central and
eastern areas compared to the others in the west and north of the city-state.
We believe this kind of analysis could yield a good understanding of the
current level of public transport services across the urban system, and their
disparity will provide valuable and actionable insights into the future
development plans.
