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However, this web-enabled feature is not possible in GeoTime as a means of a
kind of publication supplement. Therefore, a visualization portal for publications
showing results online in GeoTime 3D View would be helpful. Perhaps journals
could collaborate with GeoTime or any other available STC implementations.
With increasing availability of micro data on active transport, the need to
integrate active transport modes (such as cycling) in transport demand models is
paramount. The descriptive statistics of reported trips suggest that other modes
taken by cyclists, in the area, are still prevalent, and therefore policies towards
improvement of everyday cycling should be narrowed to only cycle infrastructure
alone as utility cyclists also prefer to patronize other modes of transport. However,
with almost 34 % of the cyclists cycling off the cycle network, such patronization
of other modes of transport might be due to nonnegotiable mode choice as a result
of lack of adequate means to get to destination by cycling.
Another important future research prospect in transportation research is to be able
to reconstruct cyclists' travel behavior, for example, using an agent-based modeling
and simulation (ABMS) approach. Some level of consensus on the usefulness of
agent-based modeling and simulation in cycling research is gradually emerging
among cycling researchers. Although this is the case, the step-by-step approach
together with concepts is needed to enable full implementation of agent-based
models, especially in relation to using actual route choice parameters and cycle
networks and facilities as inputs. The emerging importance of bicycling and its
associated nonlinear travel behavior has now prompted researchers to turn to the
application of agent-based modeling and simulation techniques to create platforms
to further understand behavior of cyclists. The ongoing development of Copenhagen
agent-based model of bicyclists' experiences (in short CopenhagenABM) as part
of the Bikeability.dk project in Denmark, at the time of writing, is a typical
example. Future research should use datasets in different geographical contexts and
adopt some or all of the methodological approaches used in the CopenhagenABM
to enable easy comparison of models, thereby allowing testing of variants of
hypotheses and existing theories. It is planned that the detailed dataset collected
in this research will be used as input to the development of NewcastleABM together
with comparative analysis of common variables alongside the CopenhagenABM.
Acknowledgments The authors would like to thank Northumbria University at Newcastle for
sponsoring this research. Also, the authors thank all anonymous participants who helped in
collecting the primary data for this research. We also acknowledge the constructive comments
made by two anonymous reviewers and the topic editors to improve the content.
References
Aditjandra PT, Mulley C, Nelson JD (2013) The influence of neighbourhood design on travel
behaviour: empirical evidence from North East England. Transp Policy 26(0):54-65. doi: http://
dx.doi.org/10.1016/j.tranpol.2012.05.011
Allen E (2012) Petrol prices will rise again as motorists must accept higher taxes to help clear
Britain's debt, insists Transport Minister. DailyMail
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