CCG COP28 POLICY BRIEF SERIES Developing Fit-for-purpose Analytical Tools to Support Transport Sector

Key Policy Recommendations ■ The international community should prioritise the development of modelling tools that are fit-for-purpose in supporting LMICs to identify suitable transition pathways for the decarbonisation of the transport sector. [...] This underscores the importance of ongoing efforts, such as the Transport Data Commons Initiative (TDCI) and Asian Transport Outlook (ATO) Data, to expand and improve the availability of foundational sector data for transport in LMICs. [...] Some of these models are do the following things: estimate the capital and based on optimisation paradigms that minimise operating costs of the transport system, calculate the cost of meeting transportation demand, the fiscal implications of changes in the flow of tax while others operate instead as simulation tools revenues and subsidy expenditures from transport, that can illustrate the impact o. [...] While TEAM- in the UK,TEAM has been significantly Kenya has proved capable of delivering a rich revised by CCG with the aim of adapting it representation of LMIC transport futures [2], the for use initially in Kenya, with the possibility relatively data-intensive and time-consuming of broadening applications to other LMICs nature of the modelling process, as well as the later. [...] The efficacy of such a model should Given the urgency of low-carbon development, be further enhanced through continued and the complexity of transport sector effort to improve the availability of transport decarbonisation, there is a pressing need for sector data, together with a major capacity- partnership between research institutions and building effort to empower policymakers and international.