Passenger Mobility and Climate Constraints: Planning for Adaptive Mitigation Strategies

Hector G. Lopez-Ruiz () and Yves Crozet
Additional contact information
Hector G. Lopez-Ruiz: Laboratory of Transport Economics (LET), LET-ISH

Chapter Chapter 15 in Transport Moving to Climate Intelligence, 2011, pp 227-242 from Springer

Abstract: Abstract Today, numerous works conclude that transport seems to be completely coupled to economic growth. Therefore, as a direct consequence of economic development, transport sits today as one of the major final energy consumers and one of the most important sources of carbon dioxide emissions. Furthermore, in the absence of major technological change, this unsustainable situation will most undoubtedly get worse in the future. In this chapter, we analyze what different types of public policies aiming at sharp reductions in greenhouse gas (GHG) emissions imply on passenger transport and how they can be linked to new behavior patterns affecting time use and consumption. For this, we use the Transport Issues in the Long Term (TILT) model’s core microeconomic choice model (TILT-micro). Through this analysis, we explain the interest of adaptation strategies for GHG mitigation.

Keywords: Public Transport; Transport Distance; Transport Time; Road Infrastructure; Modal Share (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:trachp:978-1-4419-7643-7_15

Ordering information: This item can be ordered from
http://www.springer.com/9781441976437

DOI: 10.1007/978-1-4419-7643-7_15

Access Statistics for this chapter

More chapters in Transportation Research, Economics and Policy from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().