Dynamic Adaptive Policymaking for implementing Mobility as a Service (MAAS)

Contains fulltext : 179332.pdf (publisher's version ) (Open Access

Planning our way ahead: A review of Thailand's transport master plan for urban areas

Contains fulltext : 230634.pdf (publisher's version ) (Open Access

Understanding decision makers’ perceptions of Chiang Mai city's transport problems an application of Causal Loop Diagram (CLD) methodology

Contains fulltext : 230529.pdf (publisher's version ) (Open Access

The conundrum of the motorcycle in the mix of sustainable urban transport

Contains fulltext : 230635.pdf (publisher's version ) (Open Access

Cluster analysis of carsharing users’ behavior in Bangkok, a highly motorized and developing city

Contains fulltext : 230623.pdf (publisher's version ) (Closed access)The number of personal cars is expected to rise at a rapid rate, particularly in developing countries, such as China and India. These increases will hamper the global effort to reach the climate target set by the Paris Agreement as most of these vehicles will be fossil-fuel powered. Urban carsharing is a Transport Demand Management measure that can reduce and delay vehicle purchasing. However, little has been reported on its utilization, particularly in the context of developing countries. This study provides empirical results on how a dominantly station-based carsharing service in Bangkok city, Thailand, is utilized. We analyzed the data generated by the service to provide descriptive information on the users' behavior. We also clustered the users into three groups; frequent users, typical car renters, and young car sharers to provide new insights into how carsharing is utilized by the Bangkokians. The outcomes provide a reference case for future studies and support policy-making to promote carsharing in a similar context.3 november 202

Aligning stakeholders’ mental models on carsharing system using remote focus group method

The novelties of new mobility solutions, such as carsharing, may instill different expectations and understanding of the concepts among stakeholders. These differences in their ‘mental models’ can hamper the wider implementation of the concept and delay a transition toward a more sustainable transport system. In this study, we implemented a participatory group modeling building approach (GMB) to explore the differences and to integrate the mental models of stakeholders concerning the carsharing operation in Bangkok, Thailand. Through the process, we identified apparent differences in how participants visioned a successful carsharing operation and created an initial shared understanding in the form of a causal loop diagram. The qualitative model included attributes influencing the success of carsharing and possible policy interventions. The results illustrated the effectiveness of GMB as a participatory approach for transport planning

Integrating mobility in urban design

Item does not contain fulltextThis chapter examines how mobility analytics can be integrated in an urban design process. Between 2017 and 2019, Urban Systems Design (USD) studio projects took place in Urawa-Misono, Sumida ward, and Kyojima, Japan, as test beds for this process. The projects brought together experts and stakeholders from various organizations to be involved in urban design decision-making aimed at addressing issues of decarbonization, sustainability, resiliency, and human well-being. The studios were housed within the Eco Urban Lab at Georgia Tech's School of City and Regional Planning and School of Architecture and were operated in partnership with the University of Tokyo and the Global Carbon Project at the National Institute for Environmental Studies. These projects served as real-world applications of the USD concept and demonstrated its value within planning and design processes of an urban transport system. The USD concept uses feedback loops of analysis and design to fill the gap that can occur between transportation planners and urban designers, who often make siloed decisions in the real world. The studio projects also facilitated a learning process by providing useful insights about designing urban transport systems, such as how transport modeling can be better integrated with the urban design process and how USD can be applied to support urban transport system design