Podcast Summary: "Planning and Fuel Use: A Highly Critical Survey"

LSE: Public Lectures and Events
Date: February 25, 2013
Host: LSE Film and Audio Team
Guest: [Speaker primarily referred to as "B", an economist and planning expert]
Duration: Approx. 1 hr 15 mins

Episode Overview

This lecture critically examines the relationship between urban planning, fuel consumption, and carbon emissions, with a particular focus on the commonly cited Newman and Kenworthy evidence linking urban density to fuel use. The speaker, drawing on professional experience in accounting, economics, and planning, methodically deconstructs prevailing policy narratives, challenges widely used statistics, and argues that British planning policies often address the wrong issues, sometimes aggravating rather than mitigating fuel use and emissions.

Key Discussion Points & Insights

1. Origin of a Critical Attitude (00:49)

• The speaker connects auditing experience to a skeptical perspective on data integrity in planning research.
  • Quote: “Being an audit clerk for five and a half years kind of gives you a sort of cynical view about evidence. Evidence has to be checked.” (00:49)
• Early training influenced his “critical attitude” toward statistics and survey data.

2. The Planning Narrative: Density, Fuel Use, and Panglossian Views (03:36)

• Explains how mainstream British urban planning is driven by the view that controlling density (especially via green belts and brownfield sites) can address externalities like CO₂ emissions.
• Summarizes policies inspired by the “Dr. Pangloss” optimism: believing existing planning approaches are ideal.

3. Scrutiny of Newman and Kenworthy's Fuel Use Data (05:28)

• Newman and Kenworthy’s data (1980) is influential and widely reproduced; shows fuel use per capita declines as urban density rises.
• Controversially, their “adjusted” figures (for income and price) don’t align with economic logic. London, after accounting for massive fuel price and income differences compared to US and Canada, only shows a modest (~20%) increase in fuel use—seemingly inconsistent with expected elasticities.
  • Quote: “There seems to be something possibly somewhere wrong…” (06:38)
• Points to probable “fabrication” or at least misleading presentation of statistics.
  • Quote: “If they were going to fabricate the data completely, they should have fabricated the data in the second half of the book…so doing the fabrication in the way that it appears to have been done, it's always laughable to have frankly someone like me stumbling across the fact.” (13:01)

4. Methodological Critique: Density, Price, and Data Definitions (17:50)

• Raises issues of data comparability: US cities’ density averages (over large SMSAs) are lower, while European ones are higher due to smaller political boundaries. This inflates observed elasticity of fuel use with density.
• Critiques neglect for economic factors such as price—often omitted from urban form studies.

5. Counter-Evidence: What Really Drives Fuel Use? (21:31)

• Regression analysis (by Ian Gordon) shows price elasticity is more significant for fuel use than density.
  • Doubling urban density might reduce fuel use by ~15%, but a 20% increase in fuel prices achieves the same effect much faster.
  • Quote: “From a policy point of view and from a cost point of view, which would seem the more efficient process?” (25:26)
• Real-life policies focused only on density (without price) are much less effective.

6. Case Studies: Policy Application and Unintended Consequences (31:00)

• Policies emphasizing brownfield, high-density development, especially in rural or disconnected sites, often lead to increased car use—contrary to objectives.
  • Example: Residents in new rural developments near Oxford used cars more after moving, despite “good” public transport provision.
• Significant proportion (40%) of new UK housing 2000–2004 was in rural locations, often infill or “brownfield,” not urban centers. (33:38–34:08)

7. The Green Belt: Economic Logic and Function (26:31 & 36:30)

• The green belt increases urban land values and often pushes development and commuting further, raising fuel use.
• The public perceives green belts as “green and undeveloped,” but much is neither.

8. Political and Policy Context: Why Density? (36:45)

• Politically, increasing fuel prices is unpopular, so density policies are preferred despite their limited effect on emissions.
  • Quote (C): “It seems to me that anything you do which will have the effect of reducing emissions is going to be unpopular. The great thing about density-based policy is that...doesn't actually have any bite.” (37:32)
• High density in the wrong location (suburbs) does not guarantee reduced car use. Urban form matters more than just a “density” number.

9. The Importance of Employment Density and Travel Patterns (59:41, 60:33)

• Discussion acknowledges that analyzing employment concentration (not just population density) could more meaningfully explain travel and fuel use patterns.
• Internal spatial structure of city regions matters (“core and periphery”), and “concentration” rather than simple density correlates better with lower fuel use.

10. Community, Perception, and Behavioral Factors (64:49)

• The paradox of the green belt: most British people visit only a few crowded countryside locations, so perceive the countryside as scarce and precious.
• Emotional and psychological aspects strongly shape policy support, often independently of actual land use or efficiency.

11. Conclusion and Policy Reflections (71:32)

• The assumed automatic link between planning (as practiced) and reduced emissions is ill-founded.
• Speaker calls for greater honesty in public discourse and suggests:
  • Market-based tools (mainly fuel price) are more effective, but require political courage.
  • New towns and selected green belt development, with careful planning, could better match housing demand and sustainability.

Notable Quotes & Moments

• On evidence and statistics:
  “This started off as a very simple survey…and you'll discover how very quickly which leads to the subtitle lies, ‘lies and statistics’—not Twain attributing: it's questionable as to use.” (01:34)

• On Newman and Kenworthy data:
  “The word propaganda is actually used [in JAPA review] for higher densities.” (13:53)
  “It's a fabrication of this evidence at best…deliberate, accidental, they have to say.” (14:24)

• On the green belt:
  “If, as I do, you go for walks around London green belt almost every weekend, you will actually find that it is for recreation. It’s for recreation of the beach. See, if you walk through London’s green north western setting, you will see more horses…what you won’t see is very much agriculture.” (27:34)

• On the political appeal of density-based policy:
  “It’s a nice easy option. If you increase a price, you’ve increased the price and that’s it.” (37:51)

• On the need for a positive planning vision:
  “If you want to win the argument for building on green belt, one way of doing it would be to come up with a vision for what a green belt might [become]…the sort of amenity value that you might create through the extra income that you needed.” (63:19)

Important Timestamps

• 00:49–03:36: Speaker’s audit background, skepticism, and setup of talk
• 05:28–13:53: Dissecting Newman & Kenworthy’s data and its influence
• 17:50–21:31: Methodological critique: density, price, data boundaries
• 25:26: Price elasticity vs. density elasticity—policy implications
• 31:01–34:08: Rural high-density development paradox and car use; surprising distribution of new housing
• 36:45–39:51: Political discourse—why fuel price is avoided as an instrument
• 59:41–60:33: The importance of employment density in fuel use analysis
• 63:19–64:49: Building a positive narrative for green belt development

Overall Tone

• The discussion is critical, often skeptical, with undercurrents of dry humor.
• Several participants refer to UK policy traditions with a mix of frustration and pragmatism.
• The speaker challenges both academic orthodoxy and policymakers to reevaluate cherished assumptions, seeking policy grounded in robust, honestly presented evidence.

Takeaways for Listeners

• Urban density by itself is a blunt tool; fuel prices and travel patterns are more direct levers for reducing car use and emissions.
• Beware of “simple solutions” in planning—scrutiny of both data and underlying logic is always needed.
• Policies like green belts and brownfield targets often have unintended, sometimes counterproductive, consequences.
• Future planning should match policy tools to actual behavioral responses and market forces, not to comfortable myths.