Transportation Research Part A: Policy and Practice
Call for papers for the special issue: Travel demand management (TDM) in smart cities
摘要截稿:
全文截稿: 2019-10-30
影响因子: 3.992
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 工程技术 - 2区
• 小类 : 经济学 - 2区
• 小类 : 交通运输 - 2区
• 小类 : 运输科技 - 2区
Overview
Over the last few decades, the mechanism underpinning the supply of transportation systems has undergone significant transformations. New vehicle technologies (e.g., electric vehicles, self-driving vehicles), alternative fuel types (e.g., electricity, biofuels), emerging service models (e.g., car/bike sharing schemes, MaaS) and innovative mobility concepts (e.g., urban air mobility) constitute the primary sources of ongoing and future changes in the mobility patterns of urban settings. Even though the advancements on the supply side of the urban transportation networks have been delineated to some extent, their implications on the travel demand management are still uncertain. The rise of advanced big data techniques constitutes an excellent opportunity, not only for the sustainable deployment of the emerging technologies, but also for resolving the management uncertainties arising from new nuances of travel demand. In this context, the coupling of big data analytics and emerging transportation systems is anticipated to generate new opportunities and challenges towards the enhancement of “smart” operations in urban settings.
The integration of disparate, present and future transportation systems may constitute a key barrier on the establishment of system-wide travel management policies with “smart” capabilities. The aim of this special issue is to foster understanding and reflections on how the interaction and integration of existing and emerging transportation systems affect travel demand management in “smart” cities. The special issue invites original contributions on big data analytics, analytical approaches and policy case studies for travel demand management, with special focus on urban settings. Potential topics may include, but are not limited to:
New concepts, strategies and policies on TDM for smart cities.
Big data applications in TDM for smart cities.
Implications of emerging technologies on TDM.
Implications of innovative mobility models on TDM.
Integration of new mobility services with public transport systems.
TDM for integrated public transport systems.
Public perceptions of emerging technologies and impact on TDM.
Performance measurement and assessment of innovative mobility models.