This study describes research to improve understanding of sustainable urban transport planning from the perspective of the Central Business District (CBD) redevelopment process for two cities, Hamilton and Christchurch in New Zealand. The study was initiated with prioritising the type and location of a public bike sharing system to the existing CBD by attracting more visitors and patrons, which alters major and current urban transport issues. The concern of CBD traffic problems gained a majority among the others. These urban problems were further literature reviewed with other similar sized cities, which have established the ‘Public Bike Share Scheme’ to change CBD users’ travel behaviour. The literature review shows new aspects of the urban transportation network and explains the need for some particular changes in sustainable transport for livable urban life. The different forms of transport modes and urban planning were gathered from looking at the change made by many various cities. A major proportion of ‘Public Bike Share Scheme’ cities is the part of Europe territory, as the reason implies limited modal accessibility but higher population density in urban CBD. This scenario is somehow similar to NZ’s two cities as the city’s population is on the increase in proportion to the land size. Such studies, despite their importance, are relatively scarce due to issues related to data collection and confidentiality of personal information from taking part in such studies. To achieve the objective, the study uses the Logistic Regression modelling, which postulates that CBD patrons’ travel behaviour depends on two components: 1) some observable attributes, such as walking distance, service fares and bike availability; and 2) unobserved heterogeneity such as gender, income and education. The latter is taken into account by characteristics of respondents such as gender, income, education, and use of mode to travel. In this study, multinomial logit (MNL) and mixed logit (ML) models were used to calculate the base mode shares, and subsequently, to test various hypothetical policy options for promoting greater use of bike sharing system and public transport. The data were gathered using stated preference surveys from 486 New Zealander resided on two cities. Furthermore, as each participant evaluated eight choice scenarios, the data set contains 3,888 choice records. The results of the modelling allow policymakers to design more appropriate strategies and policies for different segments of the population to improve an urban CBD and to attract urban CBD. The modelling results also indicate that the potential improvement in a modal shift, which can be achieved by applying different policy options, varies with both walking distance, service fares and availability of new public transport service. Furthermore, in order to promote sustainable mobility in developing urban CBD, one policy would be to increase the connectivity of public transport services.