But before we embrace land use controls as a primary device to throttle the flow of energy in urban areas, or even as a useful supplement to other conservation strategies, we should exa
Trang 1Energy and land use
An instrument of US conservation policy?
D a l e L K e y e s
Energy consumption in society is a
function, among other things, of its
spatial distribution The author
describes studies of energy usage
in metropolitan areas of the USA,
simulation studies of alternative
building types and the potential for
energy conservation Rearranging
the urban housing pattern into
more compact high-rise patterns
could lead to significant savings in
domestic and transport energy con-
sumption Some policy of en-
couraging more energy conserving
urban s t r u c t u r e s m i g h t be
beneficial but caution is needed in
case the detrimental side-effects
outweigh the benefits
The author is Research Associate
with the Urban Institute, 2 1 0 0 M St
NW, Washington DC, USA
1 Ford Foundation Energy Policy Project,
A Time to Chose: America's Energy
Future, Ballinger Publishing Co, Cam-
bridge, Massachusetts, 1974; Federal
Energy Administration, Project
Independence Report, Washington, DC,
US Government Printing Office,
November 1974
z See, for example, Anthony Downs, 'S-
queezing Spread City', New York Times,
March 17, 1974; pp 38-47; Herbert M
Franklin, 'Will the New Consciousness of
Energy and Environment Create an
Imploding Metropolis?' A m e r i c a n
Institute of Architects Journal, August
1974, pp 28-36
3In recognition of this need the US
government is sponsoring research on
land use-energy linkages, some of which
is being undertaken by the Urban
Institute However, we need not wait for
this work to bear fruit in order to take
stock of what is currently known
The past two years have witnessed a groundswell of interest in energy conservation issues and a number of studies on the relative merits of various conservation options Two studies in particular have detailed the expected benefits and to a lesser extent the costs of selected conservation strategies available to federal, state, and local governments in the U S A ? These strategies range from fuel price deregulation to various types of mandated conservation measures Partly because these studies did not investigate the entire set of available options and partly because none of the strategies is completely painless, attention has increasingly focused on avenues to energy conservation yet unexplored Among these is 'land use', its popularity due in no small part to its imprecise definition Land use means so many different things to so many people that few can deny its potential for affecting some aspect of the way energy is used This interest in reducing energy consumption by altering land use patterns
is evidenced by a spate of articles appearing in the popular press and various non-technical journals} Compact, well planned communities are more energy efficient, it is argued, and governments should encourage - if not require - urban growth which is consonant with sound planning principles But before we embrace land use controls
as a primary device to throttle the flow of energy in urban areas, or even as a useful supplement to other conservation strategies, we should examine the magnitude of suspected energy savings associated with various land use patterns and the costs or difficulties involved in manipulating these patterns)
U r b a n spatial structure The overall relationship between patterns of land use and energy consumption (holding constant the influence of climate, population characteristics, intensity of industrialisation, end-use efflciencies and the like) derives from two intermediate relationships, one involving building types and the other travel behaviour It is more illuminating
to speak of the spatial structure of urban areas rather than the pattern
of land uses, for the energy used in any city is presumably a result of its three dimensional structure Theoretically, where densities are high, residential and commercial units are frequently smaller and often share common walls or are located in large structures,
Trang 2Energy and land use
~To determine the magnitude of the
effect on space heating, and cooling one
needs only to characterise spatial struc-
ture in terms of population densities or,
more precisely, the mix of building types
But in order to specify the quantitative
relationship between urban spatial struc-
ture and transportation energy use, one
must be able to characterise development
patterns along several dimensions - the
relatige location of activity centres, the
nature of the transport system, and the
geography of the population density func-
tion In addition, the degree of local in-
tegration of different land uses and the
travel consequences must be separated
from the impact of region-wide land use
integration That is, the impact of a high
degree of metropolitan-wide segregation
created by regional shopping c e n t r e s -
few in number but large in size - may be
obviated by the presence of small com-
mercial establishments in close proximity
to many residential areas
6 Regional Plan Association Inc and
Resources for the Future, Regional
Energy Consumption, Regional Plan
Association, RPA Bulletin 121, January
1974
6 Space heating and cooling efficiencies
associated with high densities should
theoretically apply to the industrial and
commercial sectors as well as to the
residential sector However, consumption
data is typically available only for total
energy use rather than just for space con-
ditioning Since energy used for purposes
other than heating and cooling is of
greater importance in the commercial and
especially in the industrial sectors, the
discussion here is limited to residential
energy use (Space heating and cooling
represents approximately 7 0 % of the total
energy used in homes)
providing economies for space heating and cooling; where employment and commercial centres are located close to residential areas, travel will be reduced; and where development is located along transportation corridors and at sufficient density, people and goods can be transported by more energy efficient modes
In order to measure the differences in energy use as a result of variations in urban spatial structure, a relatively detailed description
of both energy consumption patterns and spatial structure is required for several urban areas which display significant structural differences 4 Additional information on differences in energy use among different types of buildings can be used to make inferences about the heating/cooling effects of urban structure where direct data are unavailable Unfortunately, disaggregated data on energy use in urban areas is almost totally lacking, while description of the spatial structure found in various cities rests almost exclusively on population densities and density gradients Likewise, detailed empirical studies of energy consumption for individual buildings are not numerous Simulations of both hypothetical and real urban structures and building types must therefore be used to supplement and
in some cases replace, empirical analyses of observed consumption and spatial structure or building characteristics
Energy studies Perhaps the most detailed study of metropolitan energy use in the USA has been conducted for the New York City region, where energy use for each of the region's 31 counties has been estimated by economic sector and by fuel type 5 Urban spatial structure, however,
is only represented by two variables - gross population density and the extent of the transit system As is shown in Table 1, the New York Metropolitan Area (which is composed of nine of the 31 counties in the region) has the highest area-wide and central city population densities and the most extensive transit service Of the five most populous metropolitan areas (and in fact of any area) in the USA One might therefore expect that the energy consumed in both the transportation and residentiaP sectors would be lower for New York than for any other area or for the country as a whole, once climate and other factors are accounted for Table 2 shows that the
Table 1 Population and transit characteristics of the five largest US metropolitan areas
(1970 and 1972 data respectively)
Central city b Vehicle miles Vehicle miles of SMSA population of transit
population density (people per year SMSA a (x 106) (people p~r per sq (miles
milex 10 ) milex 103 ) x 106) c
Los Angeles/
transit operated per year per capita (Miles per person )
a Standard Metropolitan Statistical Area
as defined by the US Office of Management and the Budget
b The central city within the SMSA as defined by the US Office of Management and the Budget
c Approximate figures
Source: The population data are taken from US Bureau of the Census, US Census Population, 1970, Vol 1, Part A,
1970 The transit data came from American Transit Association, 1972 Transit Operating Report, ATA, no date
Trang 3Table 2 Annual residential and trans-
portation energy consumption in the New
York City area and in the USA (in million
BTU per person)
Net per capita energy use a
Residential Transportation
Greater
b
a Net energy use is the total quantities of
coal, oil, gas, steam and electricity in BTU
equivalents delivered to each section
(Electricity is converted at the direct heat
equivalent of 3 4 1 2 Btus per kWh.)
b This is approximately equivalent to the
NYC SMSA
Source: Joel Darmstadter, Conserving
Energy, Prospects and Opportunities in
the New York Region Baltimore: The
Johns Hopkins Press, 1975, Table 1-1
7 Joel Darmstadter, op cit Note b, Table 2
These are money rather than total per-
sonal income figures
a Reported income elasticities for expen-
ditures on electricity in the USA range
from about 0 3 to 0.7 Thus, a 1% in-
crease in income would lead to a 0 3 to
0 7 % increase in expenditures Although
these elasticities are based on total per-
sonal income (which is slightly larger than
money income) and apply strictly to elec-
tricity only, the relatively low values imply
that the unexpectedly high consumption
levels in New York cannot be totally ex-
plained by an income argument For a dis-
cussion of i n c o m e - e x p e n d i t u r e
elasticities, see Robert Halvorsen,
'Residential demand for electric energy',
Review of Economics and Statistics, Vol
57, pp 12-18, (1975)
Since gross residential density is a poor
surrogate for building types, we have
attempted to statistically relate the RPA
data on average per capita, per unit and
per square foot energy consumption in
each county to the percentage of one-
family units and the percentage of
buildings with 5 or more units found in
each county In this way, we were able to
show that an increase in the percentage
of one-family units does contribute to in-
creased consumption, although per capita
income, the price of the various fuels, and
other factors appear to be much more im-
portant in determining consumption
levels The results of this regression
analysis are roughly comparable to those
of the energy simulations undertaken by
Hittman Associates, to be discussed sub-
sequently That is, the largest structures
seem to be most efficient on a per unit
basis but not on a per capita basis
I ° A comprehensive discussion can be
found in Melvyn D Cheslow and Mary
Lou O l s s o n , Transportation and
Metropolitan Development, The Urban
Institute, Working Paper No 5 0 4 9 - 0 7 ,
1975
Energy and land use
average energy used for transportation by a New York resident is indeed less than that used by persons residing elsewhere in the country However, the per capita residential consumption is 15%
greater in the New York area than the average for the country as a whole This rather puzzling observation may be at least partially due
to the relatively higher per capita income level found in the New York area ($3911 versus $3118 in 1969 dollars for the greater New York City area and the USA, respectively 7) However, this 26% increase in income level could not sufficiently offset the 15% increase in consumption to explain the difference between the observed and expected results 8 Climate may be a more important factor but its impact cannot be assessed without additional information
In order to gain further insight into the observed relationships between urban spatial structure and energy use in the New York region, intra-regional variations can be probed Again, descriptions of spatial structure are limited, this time exclusively to population density The reported results are essentially a reaffirmation of the previous findings: residential consumption expressed on either a per capita or per square foot basis is approximately the same for each county in the region (Density ranges from 53 persons per square mile
in Sullivan County to almost 70 000 in Manhattan.) 9 Intra-regional density-transportation energy linkages are some- what less ambiguous Per capita transportation energy use decreases
at an increasing rate up to about 4 0 0 0 0 persons per square mile, and then displays an increase as density increases still further These results could be partially due to the effects of congestion at very high population densities, but can also be attributed to the method of computation If employment or daytime county populations were used as the basis for computing per capita consumption, the reversal of the density-consumption relationship would be moderated if not eliminated
The data on energy use in the New York City region thus provide suggestive evidence in support of the hypothesised transportation energy-spatial structure relationships and largely inconclusive evidence for the proposed residential energy-spatial structure relationship But the evidence is limited and subject to problems of data collection and analysis In addition, no information is provided
on the effects or urban structure other than population density However, these preliminary attempts to probe the residential consumption data more thoroughly suggest that the use of data on building type rather than population density may provide more insights, and furthermore, that multi-family structures do appear to be less thermally efficient than one-family units (See Reference 9) Although few researchers have investigated metropolitan energy consumption patterns directly, metropolitan transportation research
is impressive, at least in volume if not in terms of consistent approaches and definitive findings? ° Travel behaviour in urban areas
is typically characterised by the number of trips taken by individual residents, the travel mode used, and the length and speeds of those trips These characteristics are affected by a host of factors, many of which have little to do with urban structure In fact, several studies have shown that household characteristics are much more important than structural features of urban areas H Unfortunately, not all studies have accounted for household characteristics when estimating the effects of spatial structure
Trang 4Energy and land use
l~Stowers and Kanwit, for example,
observed that family size, income, and life
cycle stage are more important than den-
sity of the neighbourhood or distance
from the central business district in deter-
mining trip generation rates See J.P
Stowers and E.C Kanwit, 'The use of
behavioral surveys in forecasting
transportation requirements', Highway
Research Record, Highway Research
Board, 1966, pp 44-51
~2 See, for example, William Smith and
Associates, Patterns of Car Ownership,
Trip Generation, and Trip Sharing in Ur-
banizedAreas, prepared for the Bureau of
Public Roads, US Department of
Transportation; also Harold D
Deutschman and Nathan L Jaschik, 'In-
come and related transportation and land-
use planning implications', Highway
Research Record, Highway Research
Board, 1968, pp 52-65
~3 See, for example, Wilbur Smith and
Associates, op cit and Council on
Municipal Performance, 'City perfor-
mance', Municipal Performance Report,
V o l l N o 6 , 1 9 7 5 , p p 1 1 - 1 7
14See, for example, David M Branston,
'Urban traffic speeds- I: a comparison of
proposed expressions relating journey
speed to distance from town centre',
Transportation Science, February 1974,
pp 35-49
~5 See Allan M Voorhees and Associate,
Factors and Trends in Trip Lengths,
NCHRP Report No 48, Highway
Research Board, 1968; also Automobile
Manufacturers Association, 1972
Automobile Facts and Figures, AMA, (no
date)
~6 R.W Anderson, Residential Energy
Consumption, Single Family Housing,
Hittman Associates Inc, March 1973 and
M Tokmanhekin and D.G Harvey,
Residential Energy Consumption,
Multifamily Housing Final Report, Hitt-
man Associates Inc, June 1974
t~ A.D Little Inc, Residential and
Commercial Energy Use Patterns, 1970-
90, Project Independence, US Federal
Energy Administration, November 1974
They used a relatively simple estimation
method (known as the 'Degree-Day
Method') developed by the American
Society of Heating, Refrigeration, Air
Conditioning and Ventilation
Although comparison of findings from the various transportation studies is inhibited by the lack of comensurate units of analysis, the following can be stated as general findings:
• As population density increases within urban areas, the number of non-pedestrian trips decreases This appears to
be true for both generally high and generally low density urban areas 12
• As both population and employment density increases within urban areas, the percentage of trips taken by automobile decreases ]3
• As distance from the central business district increases in British cities (a surrogate for decreasing population density), the average speed of traffic at any point increases ~4
• Average metropolitan trip length has not been shown to vary consistently with average metropolitan population density, although some differences between central city and suburban lengths have been observed ~5
It is obvious that the existing empirical evidence does little more than whet the appetite Some findings (but not all) lend support to the hypothesised relationship between transportation energy use and urban spatial structure, but more is needed to substantiate it even in a qualitative sense
Simulation studies o f alternative building types Several models have recently been developed to estimate the heating and cooling loads of various types of buildings They relate energy requirements to design and orientation factors, construction methods, construction and insulation materials and characteristics of the heating/cooling equipment One such study, on the energy requirements of protypical single and multi-family housing units found in the Baltimore, Maryland-Washington, DC area, concluded that sizable differences in energy requirements among these units are attributable to the type of structure within which the unit is housed.l~ The results appear in Table 3 A general trend toward reduced energy loads with increased density of units is observed, due both to the inherent thermal efficiency gains and the smaller size of multi-family units On the basis of area the difference between single family detached units and units in highrise structures is about 20-30% Although these results apply, strictly speaking, only for the Baltimore- Washington region, the relative energy requirements among the various units should be applicable to most areas in the county since the climate in this region imposes both heating and cooling demands The Arthur D Little Organization has explicitly incorporated regional climatic variations in a similar study of residential energy consumption 17 They estimated a heating and cooling load differential between prototypical single family detached and high rise units of about 65% for a given area, averaged across all regions
However, the error involved in both of these sets of estimates is largely unknown (although the Hittman analysis was more rigorous) and the values should be accepted as very rough approximations of
Trang 5Energy and land use
Table 3 Average annual energy requirements for heating and cooling prototypical housing units in the Baltimore-Washington area a
In-structure energy consumption (Therms)
of floor area Single-family detached 1000-1100 0 5 9 0 - 0 6 4 8 250 275
a The value for the single-family units are not entirely comparable with those for the multifamily units as type of
construction and building materials were not completely standardised A range of
values is indicated for the single-family
unit with masonry walls as the prototype tested differed somewhat in insulation characteristics from the multifamily units
Source: R.W Anderson, op cit and M
Tokmahekin and D.G Harvey, op cit
Reference 16
energy savings due to building type In order to judge better the validity of these studies, careful analyses of actual residential consumption patterns as a function of household and building characteristics (including type) is urgently needed
18 Jerry B Schneide and Joseph R Beck,
Reducing the Travel Requirements of the
American City: An Investigation of Alter-
native Urban Spatial Structures, Research
Report No 73-1, Departments of Urban
Planning and Civil Engineering, University
of Washington, August 1973
19 The authors found, for example, that by
rearranging the location of most people
and jobs in the area, a 66% reduction in
total travel (total person-minutes for work
trips) and a 87% reduction in the max-
imum link load or level of use on the most
highly used highway could be achieved
Another arrangement involving a
rearrangement of 'only' a quarter of the
total population and jobs would produce a
43% and a 63% reduction in these fac-
tors, respectively The results indicate that
travel requirements can be minimised by
locating most people and jobs at the least
central node and by matching the number
of people and jobs at each node However
the optimal arrangements for Seattle
would require extensive relocation of the
existing population and employment base
20 Jerry L Edwards and Joseph L
S c h o f e r , Relationships B e t w e e n
Transportation Energy Consumption and
Urban Structure: Results of Simulation
Studies, Department of Civil Engineering,
Northwestern University, January 1975
Studies o f alternative urban structures
We now turn our attention to studies of alternative arrangements of urban areas These studies estimate either total travel from which transportation energy can be calculated or energy used for travel directly
In the first study, undoubtably the most theoretical of those to be reviewed, Schneider and Beck have developed a procedure for searching through a very large number of possible spatial arrangements of jobs, residences, and transportation networks ~8 Using simple assumptions about travel behaviour (based primarily on the gravity model), those spatial arrangements are then selected which minimise total travel time or maximise other objectives In order to lend an air of realism to the undertaking, the urban area in and around Seattle, Washington, was characterised by a very simple network of transportation nodes (employment and residential centres) and links (highways) and the impact of redistributing population and employment among the nodes was estimated ~9
Methological restrictions severely limit the general application of their findings For example, only work trips made by automobile were considered, while the translation of total travel time and link loading factors into energy savings requires more specific information about vehicle speeds and flow rates But perhaps the most restricting characteristic of the analysis is the simplistic representation of urban structure Still, the results shed some light on the range of travel savings which may be achievable, ignoring for the moment real world constraints to urban development processes
Another study compares the expected transportation energy savings from a more limited number of urban structural alternatives 2° However, each alternative is characterised in much more detail than
in the Schneider and Beck study and those spatial structures which are used for test purposes are intended to be better approximations of feasible urban development patterns
Trang 6Energy and land use
21 M o r e specifically, the elasticities of
consumption w i t h respect to the second
m o m e n t s of both population and employ-
ment about a central point are con-
siderably less than one
zz Eric Hirst and John C Moyers, 'Efficien-
cy of energy use in the United States',
Science, Vol 179, 1973, pp 1 2 9 9 - 1 3 0 3
Examples of energy-intensive as well as energy-efficient spatial structures were created from three basic urban shapes (concentric ring, linear, and polynucleated) and several combinations thereof A spatial distribution pattern of basic employment was specified together with a transportation network including up to three nodes, each with unique service characteristics Total population, total employment, labour force participation rates and certain travel behaviour characteristics of the residents were drawn from an existing city - Souix Falls, South Dakota - and the spatial distribution of residential and commercial activities specified by the Lowry land use model In this way 37 different combinations of spatial structures and transportation network structures were constructed Total travel levels by mode were calculated using simple gravity and route assignment models Finally, energy consumption was computed from information on the length and speed of all types of trips
The results of the 37 simulations indicate that the energy consumption levels for the most and least energy-intensive hypo- thetical urban areas differ by a factor of about ten However, one must take care to sort out the effects of urban structure alone (shape, population distribution and employment distribution) from those of the purely transportation-related factors (available modes and service characteristics) This is made difficult both from the interactive nature
of urban structure and transportation and from the way the results are presented in the report Still, some disaggregation can be made, if only in an approximate manner
If those test cities which differ only in shape are compared, then the linear cities appear to consume least and the concentric ring cities most, perhaps by as much as a factor of two However, 'shape' is in many ways a surrogate for population and employment distribution The authors report that energy consumption is negatively correlated with employment and population concentration; that is, those structures with compact spatial distributions are more efficient However, relatively large increases in concentration have to take place to achieve significant savings 2~
Looking at variations in the transportation system alone, an 80- 85% decrease in energy consumption is predicted for a concentric ring city which realises an increase in transit usage from 0 to 70% But this figure must be considered highly approximate, as the urban structural variables were not held completely constant in these comparisons In addition, other estimates of modal shift impacts have been less optimistic Hirst and Moyers, for example, report a potential decrease in energy use of about 25% for an increase in transit patronage from the current level o f 3% to a future level of 51%.22
We can again conclude that dramatic changes in urban structure will produce sizable savings in the amount of energy used to transport people However, since the range of structures was determined a
priori, we cannot be sure that each of the test structures is feasible, given the past and probable future processes which lead to urban development This is true despite the use of a partially validated land use model to distribute secondary employment and population in a realistic manner once the location of the primary employment had been specified Moreover, it is difficult to glean from these results implications for development added over the next few decades to existing urban areas of various structural types - the issue which is of most interest from a policy perspective
230 ENERGY POLICY September 1976
Trang 723 Margaret Fulton Fels and Michael J
Munson, 'Energy Thrift in Urban
Transportation: Options for the Future', in
Robert H Williams, ed., The Energy
Conservation Papers, Ballinger Publishing
Company, Cambridge, Mass 1975
2"Two other options examined by Fels
and Munson are based primarily on
changes in urban structure and are
worthy of further examination
One option assumes that people will
retain their desire for low density living
but will locate in order to shorten their
journey to work Employers wilt likewise
respond by clustering in a few large
employment centres throughout the
metropolitan area Low density residential
villages would thus develop around these
centres, greatly reducing the journey to
work for the average resident On the
other hand, non-work trips are likely to be
unaffected, or, if commercial activities are
also clustered in a few large centres, will
probably be longer Significant net
savings are nevertheless achieved; ap-
proximately 20% and 35% savings are es-
timated, relative to the most energy con-
suming option for 1985 and 2000,
respectively The savings from this
development trend which appear in the
report incorporate several technological
and energy price changes as well The
savings noted here were calculated from
the reported data with the effects of other
changes factored out
Another option emphasises high den-
sity residential living but assumes a non-
contiguous pattern of employment Non-
work travel is thus greatly reduced while
average work trips are lengthened But
the former effects outweigh the latter pro-
ducing approximately 25% and 30%
savings in consumption, with respect to
the highest energy patterns, by 1985 and
2000, respectively
zs James S Roberts, Energy, Land Use,
and Growth Policy: Implications for
Metropolitan Washington, Metropolitan
Washington Council of Governments,
June 1975
Energy and land use
The final two studies confront the relevant issues more directly Both examine the energy impact of future growth options for specific metropolitan areas and both assess the relative effectiveness of alternative but related conservation options
The first is a study of urban transportation energy consumption in the Trenton, New Jersey, Metropolitan Area between 1975 and the end of this century33 Among the many conservation options considered, some relate directly to urban spatial structure (eg, increasing home-work proximity) while trends in development patterns underlie or condition the use of other strategies Realism in the projected effects is improved by using the population, employment, transport network, and transportation behaviour characteristic of Trenton as the basis for the estimates Future changes in these characteristics must still be assumed, but the sensitivity of the results to these assumptions can be measured
Fels and Munson calculate that a four fold and ten fold difference
in per capita energy consumed for transportation in Trenton is possible, in the extreme, by the years 1985 and 2000, respectively This
is the difference between the 'everybody wants a luxury car' option (where long and more frequent trips are taken by richer people living further apart and driving less efficient autos) and the 'energy consciousness' option (where fewer and shorter trips are taken by people living closer to each other and to work and travelling by more efficient modes and in more efficient autos) Between these extremes are options which feature innovative forms of mass transit, fuel price increases, technologically modified autos, and various combinations
of these 24 The final study investigates the energy implications of alternative growth scenarios for the Washington, DC area 2s The scenarios selected for examination are broadly representative of different urban structures They include (a) S p r a w l - low density, non-contiguous residential growth at the fringe with new employment primarily at the metropolitan centre, (b) W e d g e s a n d c o r r i d o r s - all new development located in a radial configuration along rapid rail transit routes and concentrated near stations, (c) B e l t w a y o r i e n t e d - all new develop- ment located along a cirumferential highway, and (d) D e n s e c e n t r e -
higher density, more concentrated development focused on the metropolitan centre
The energy implications for future travel were examined using a simple transportation model calibrated to explain current travel behaviour in the area The results show that the sprawl pattern would
be about twice as energy-intensive (considering automobile consumption only) as the dense centre and transit oriented patterns
by 1992 Again one cannot say that a 50% savings is realistically obtainable, only that this is the difference between these two extremes
of spatial structure, given the assumptions about travel behaviour upon which the simulation is based
Before proceeding it is important to place the simulation studies just discussed in perspective Most of the alternative urban structures simulated are grossly unrealistic given current US development patterns Even where conscious efforts have been made to provide residential opportunities in close proximity to employment centres, a very poor matching of employees and households has resulted In order for many of the simulated structures to be realised a considerable change in attitudes and preferences must occur
Trang 8Energy and land use
2s This assumes that the same number of
people would be accommodated in units
of the same aggregate floor space This
may not be totally realistic as some
reduction in floor space typically accom-
panies a move from a single family
detached unit to a multi-family unit (Floor
space is usually traded for location)
Some additional savings may be expected
simply from a reduction in the size of the
average unit found in high density
developments
Planning is certainly not a sufficient condition to alter development patterns
Relative effectiveness of a land use policy Relative comparisons among alternatives assume that the absolute value for each is known In the case of energy conservation strategies, the available evidence will only allow us to reduce the degree of speculation about the effectiveness of each With this caveat in mind
an attempt will now be made to estimate the savings that could reasonably be expected to obtain from the control of new development patterns and to place these in the context of savings potentially achievable from alternative conservation strategies
Looking first at energy consumed for residential space heating and cooling, we have three pieces of evidence from which to derive an estimate of probable savings The two simulations predict that a 20- 30% (Hittman Associates) or 65% savings (Arthur D Little) could be achieved if all new development resulted in the construction of high-rise buildings rather than single family detached units 26 A more modest estimate is justified since even in very high density growth patterns, a mix of housing types will be found In addition, the absence of empirical verification of the simulation results, as judged by the New York City findings, further argues for a reduced estimate Thus, a value of 20% for the potential savings accruing to new high density development will be used for discussion purposes
Probable transportation energy savings from efficient development patterns can likewise be estimated from the simulation studies, modified by the empirical evidence Table 4 shows the energy differences between the most energy consuming development patterns, and other more efficient patterns tested in the two studies which simulated the effects of new growth to existing urban areas The most efficient scenarios are not presented as their realisation seems most unlikely even under extreme conditions This is probably true for the dense centre pattern in the Washington study as well The
Table 4 Simulated transportation energy use differences for various patterns of incremental, growth
Total additional energy consumption (from the base year a) and percent reduction in this increment from the base case
(in BTU per year x 1012 )
(Total) (%)
Luxury car (base case) 8.5 - Home-neighbour
proximity (modifiedb) 6.6 22
Home-work proximity
Sprawl (base case) Wedges and corridors Dense centre
(Total
1992 (%)
70.6 59.5 16 35.1 50
2000
(Total) (%) 16.8 10.5 37
a Early 1 9 7 0 ' s for the first three patterns, 1 9 7 3 for the last three patterns
b These options have been modified from the original study by assuming no technological modification of the auto, no introduction of innovative transit modes,
no use restrictions on the auto, and no
increase in fuel prices
Source: The first three patterns are taken from the Trenton, NJ study (Fels and
M u n s o n , op cit Reference 23) and the last three from the Washington, DC study (Roberts, op cit Reference 25)
Trang 9Energy and land use
Table 5 Probable reduction in total US energy consumption per year from efficient development patterns (%)
Percent of Savings (%) Estimated reduction
(1968) Savings (%)
Urban residential space
Urban residential air
Urban automobile and
a Stanford Research Institute, Patterns
of Energy Consumption in the United States, prepared for the Office of Science and Technology, Executive Office of the President, 1972; US Bureau of the Census, US Census of Population, 1970,
Vol 1, Part A, 1970; and Eric Hirst,
Energy Intensiveness of Passenger and Freight Transportation Modes, 1950-70,
ORNL-NSF-EP-44, Oak Ridge National Laboratory, April, 1975
2~ The adoption of a comprehensive plan
however, does not insure that local
development will actually take place in
accordance with the plan Local zoning
ordinances need only reflect the plan's
general intent and, in any case, are
susceptible to significant change through
the issuance of variances
other development options represent less extreme deviations from what may be expected in the absence of more stringent land use control In fact, the wedges and corridors scenario is based on the region-wide land use plan accepted by all local governments in the Washington area 27 The reductions in incremental energy consumption over the base cases which are associated with these growth patterns are thus much more realistic To some degree they may still be over-statements due to possible exaggerations inherent in the base cases (ie, neither base case appears to be a simple extrapolation from present trends), but they provide a basis for arriving at reasonable approximations Again, the lack of strong empirical evidence to substantiate the simulated savings lends credence to this approach
Since some but not all aspects of the home-neighbour and home- work proximity patterns could likely be accomplished by vigorous growth management efforts and since the wedges and corridor growth concept was practical enough at least to appear in the Washington area comprehensive plan, a value of 20% will be used for probable savings by 1985 resulting from energy efficient changes to existing urban structures
As a first order approximation of the magnitude of savings which could be achieved at the national level by 1985, the estimated urban structure efficiencies can be converted into a fractional reduction in annual US consumption levels and applied to the projected annual consumption level in 1985 Table 5 illustrates the calculation of the fractional reduction in annual US consumption using 1968 as the base year This saving should be applied only to the total new consumption represented by future growth Using the US Federal Energy Administration's (FEA) conservative projection for 1985, energy consumption of 103 quadrillion British Thermal Units (BTU) per year, the difference between projected 1985 and actual 1972 consumption is 31 quadrillion BTU per year 28 Assuming that the distribution of fuel consumption among economic sectors and the distribution of people between rural and urban areas remains approximately constant, the total one year savings in 1985 would be approximately 0.9 quadrillion BTU Other conservation actions have
Trang 10Energy and land use
2 e Federal Energy Administration, Project
Independence Report, Federal Energy Ad-
ministration, November 1974, p 26
29 Federal Energy Administration, op cit
Reference 28
30 Fels and Munson, op cit Reference 23
31 See William K Reilly, The Use of Land:
A Citizen's Policy Guide to Urban Growth,
Thomas Y Crowell Co, New York, 1973
and Fred Bosselman, David Callies, and
John Banta, The Taking Issue, Govern-
ment Printing Office, 1973, Washington,
DC
32 The recent defeat of a national land use
bill in Congress is evidence of public sen-
timent against governmental encroach-
ment on private property rights, even
though the bill had land use planning,
rather than regulation, objectives For a
more detailed discussion of suggested
changes in land use policy and the im-
plications for private property rights, see
Peter G Grown, The American Law
Institute Model Land Development Code,
The Taking Issue, and Private Property
Rights, The Urban Institute, URI 13300,
1975
been assessed by FEA and the savings from those that are most closely related to land use consideration are as follows 29 (in 1012 BTU):
Mandatory fuel efficiency standards for autos (20 mpg) 1.9 Special gasoline taxes 1.2 Mandatory thermal efficiency standards for new buildings 1.0 Seen in this context, the likely savings from more efficient land development patterns are significant but not dramatic
The relative effectiveness of still other related policies can be anticipated from the results of a study already discussed From data reported by Fels and Munson, it appears that increases in fuel prices combined with reductions in auto weight and modification of the internal combustion engine will produce savings about three times greater than those from land use measures alone) °
Of course, many of these conservation measures are highly interrelated and should not be considered alternatives in a strict sense Thermal efficiency standards are likely to affect the most inefficient building types (single family detached dwellings) to the greatest extent, reducing the energy differential between high and low density development patterns Likewise, imposition of automotive fuel efficiency standards will serve to reduce the differential between compact and dispersed development And fuel price increases in general will create an impetus toward more energy efficient urban structure The effectiveness of a land use policy is therefore really a function of which other policies will also be employed
'Costs' of a land use policy
In judging the suitability of any policy, relative efficacy is but one of two considerations Cost, acceptance, or general feasibility is the other We are far from being able to say with any authority what the monetary effects are of applying land use controls to create a given spatial structure Certainly, limiting the supply of land for certain uses will affect land prices which, in turn, will be reflected in the cost of urban goods and services But little more than that assertion can be made The 'costs' of a land use policy can more reasonably be discussed in terms of legal and political acceptability
The right to private ownership and use of land in the United States has a rather substantial history, though public bodies (especially local governments) have made significant inroads in regulating land use during this century Recently, arguments for a much greater public involvement have been proffered by groups anxious to prevent 'land abuse' and environmental degradation 31 These groups espouse public regulation of land use far in excess of what has traditionally been allowed by the courts No longer would development controls be fettered by community health, safety, and morals criteria alone The new powers would be based on an expanded and rather amorphous definition of 'community welfare' Energy conservation would undoubtably be considered a justifiable community objective thus legitimising alterations in urban spatial structures to achieve this end, often without compensation for those whose property would be reduced in value or even confiscated But such an expansion of public powers is far from being universally accepted by the courts and has hardly met with unanimous public acceptance 32 So the question
234 ENERGY POLICY September 1976