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alternative futures for la paz
a methodology for looking into the future
the present and future challenges facing
la paz are considered in this study using an analytical framework that has
been applied in many prior studies. in this framework, various future
scenarios are generated, each of which produces a different alternative
future. the aim of the study is to understand the consequences of the full
range of the possible futures.
rather than attempting to create a single vision for the future of la paz,
the study models the range of choices that decision-makers face today in
order to better understand the implications of each of possible future
paths. the approach utilizes the widest possible range of quantitative and
qualitative information to represent a broad spectrum of values and
opinions regarding the future of la paz, with the advice of residents
guiding the development of the study to ensure that the study reflects
local values.
computer models are developed in this study to assess key processes such
as economic and ecological systems. a computer-based geographic
information system (gis) is used to organize the data spatially and to
model and represent complex processes at work.
interviews and discussions with relevant groups and individuals play a
critical role in the study, both to help determine the types and extent of
the conservation and development strategies to be studied, and to help
define the economic, hydrological, visual, and ecological assessment
models.

figure 9. alternative futures.

figure 10. the research process.
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defining scenarios for the future of la paz
the analysis of different scenarios allows
us to test and study the consequences of different possible futures for la
paz. the study scenarios were developed based on discussions with
representatives of the municipal, state, and federal governments, the
private sector, and non-governmental organizations. the scenarios are
defined by three strategically important variables:
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economic and population growth projections.
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public policies that guide future land use.
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the amount of money the government has available for
spending on public projects and investments.
among the many factors that will shape the
future of la paz, these variables represent the most important sources of
uncertainty. for example, the level of future economic growth in the
region will depend heavily on the performance of the mexican economy and
global markets. the choice of public policies is more directly within the
control of the region of la paz. yet the political process could produce
any one of numerous possible public policy choices. the amount of money
available for public investments and policy implementation depends highly
upon choices made at the federal and state levels.
 discussions
with residents were critical in shaping and informing the study.
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geographic
information systems
a geographic information system (gis) is
used for generating and managing geographically-referenced information.
often, ground-based surveys are combined with satellite imagery or aerial
photographs to produce data sets. a gis enables different geographic
information sets to be captured, stored, integrated, manipulated, edited,
compared and analyzed, such as those related to land use, infrastructure,
and demographic conditions. in this study, we use a gis to represent
current conditions of the landscape of the la paz region, to simulate
future changes, and to evaluate their consequent impacts.
 figure
11. geographic information systems are used to organize and analyse data
for the study.
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economic and demographic growth projections
three possible economic and population
growth projections are developed for the study—trend, medium, and rapid
growth.
the trend growth projection assumes a continuation of recent growth rates.
under this projection, economic growth averages 4.2% per year over the
next 20 years with population growth of 1.8% per year.
the medium-growth projection is based on higher overall economic growth
compared to the trend trajectory, with higher population growth rates
drawing upon strong performance in the real estate sector and higher
economic activity in the commercial and service sectors.
overall population growth averages 2.8% in this demand projection. this
level of growth assumes strong demand for second homes, particularly from
outsiders, and improved performance in the professional services sectors,
such as in research and development, healthcare, and high technology.
rapid growth in the tourism industry, similar to that experienced in los
cabos, forms the basis for the third growth projection. tourism is
projected to grow at an annual rate of 8% per year from 2000 to 2010 and
at 4.5% from 2010 to 2020, accompanied by strong growth in the commerce,
services, real estate, finance and construction sectors. population growth
averages 3.9% per annum for the first decade, approximately double the
rate of the trend growth projection.
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trend growth |
medium growth |
rapid growth |
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2000-2010 |
2010-2020 |
2000-2010 |
2010-2020 |
2000-2010 |
2010-2020 |
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economic growth rate |
4.23% |
4.20% |
5.40% |
4.93% |
6.31% |
5.03% |
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population growth rate |
1.87% |
1.84% |
3.03% |
2.55% |
3.93% |
2.65% |
figure 12. economic and demographic growth projections.

figure 13. economic growth projections

figure 14. population growth projections.
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demand
for new land uses
each of the population and economic growth
forecasts is associated with a different demand for new houses, as well as
for new commercial, industrial and tourism space. in this study, we divide
new land use demands into seven categories for the year 2020. the total
demand for new urban land uses varies from 4,828 hectares to 9,102
hectares. urban land uses in 2000 covered an area of approximately 10,000
hectares.

figure 15. land use demand projections.
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tourism |
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commercial |
high-end housing |
social housing
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industry |
urban housing |
informal housing |
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areas
attractive for future development
many elements combine to determine where
development will occur in the future. in this study we model the relative
attractiveness of different potential areas of development to private
investors, real estate developers, and builders. for housing, the most
important characteristics of a building site include the availability of
water and public services, access to roads, the distance to work and
shopping, views from the house, and the character of the neighborhood.
commerce and industry weight more heavily the availability of
infrastructure and on access to markets and workers. tourism development
focuses more on distance to beaches, good views and the natural
surrounding. the maps displayed here show the results of attractiveness
models that incorporate these determinants of the attraction for different
locations. they display the areas that will experience the most
development pressure in the future, without considering possible public
intervention on land use practices.
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| potential tourism development. |
high-end housing. |
industry. |
social housing. |
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| urban housing with existing roads. |
urban housing with an upgraded road system. |
commerce with existing roads. |
commerce with an upgraded road system. |
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figure 16. attractiveness of areas for future development by land
use.
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public
policy options
among the many policy instruments that can be applied to
the management of urban land use, the most commonly used policy tool is
land use zoning. land use zoning specifies for each area of land which
land uses are permitted. for this study, a simple zoning framework is
applied that stipulates whether new development of any kind is permitted
or not, on a given area of land. the ramifications of three options are
explored with varying levels of restrictions on new development.
the least restrictive option assumes that land use will be unregulated in
the future. in this option, only the areas that are inherently unsuitable
for development are excluded from future use, for example, the areas
within the major arroyos that flood frequently.
in a second more restrictive option, land protected by current law is
barred from future development. legally protected areas include protected
areas such as the islands in the gulf of california, areas abutting
mangroves, and the federal maritime zone.
a third proactive policy option assumes that additional areas subject to
new cultural, historical, visual, safety, and environmental conservation
policies would be excluded from future development. these areas would
include agricultural land, areas at risk of flooding from hurricanes,
arroyos, areas with important biodiversity, steep slopes, and high-quality
view corridors.
the components of each of the policy options are listed in figure 20. the
spatial results of applying these restrictions are shown in figures 17,
18, 19.
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| figure 17. policy option 1: unregulated |
figure 18. policy option 2: existing laws |
figure 19. policy option 3: proactive policies |

figure 20. policy option specifications.
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public
finance alternatives
two public finance alternatives – low public financial
resources and high public financial resources – are created to reflect the
uncertainty of government budgets and the ability of the public sector to
make key project and infrastructure investments. depending on the amount
of government money available, each scenario incorporates assumptions
about new infrastructure development, including improvements of existing
roads, construction of new roads, enlargement of flood-control levees, and
expansion of the sewage and water supply systems. the availability of
resources for constructing new roads would open new areas for possible
development. this changes the spatial allocation of new development,
thereby increasing the attractiveness on some areas and potentially
reducing the pressure in other areas.
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road networks
influence the location of future growth. |
additional
investments in public infrastructure such as water services will be
needed in the future. |
public invesments
play an important role in promoting economic growth and in enhancing
the quality of life. |
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Simulation of Land Use Changes: Selected Scenarios
the economic and demographic projections,
policy options and public finance alternatives combine to create eighteen
possible scenarios for analysis. in this study, a computer program is used
to geographically allocate new land uses in a priority sequence based on
their assumed ability to pay for their most attractive locations, with
tourism and industry first, followed by commerce and the four housing
types in order: high-end, urban, social, and informal. the allocations are
carried out in two stages, ten years and twenty years into the future. the
resulting land use maps show the amount and location of each land use
category. the projected land use configuration for each scenario is
unique, varying in the extent, direction, and pattern of growth.
we present here the results of three selected scenarios that describe the
likely range of possible changes. scenarios a and c represent the
extremes. scenario a assumes the highest rate of economic expansion and
population growth with the lowest level of constraints on development and
a low level of public funding available for project and policy
implementation. this scenario is expected to result in the most change in
land use and the greatest impacts, although with higher potential economic
benefits. scenario c modeled the lowest level of population and economic
growth with the most restrictive set of conservation policies to shape the
location of future growth and high levels of government resources
available for implementation. this scenario is expected to produce the
lowest environmental impact and least landscape change. scenario b forms a
mid-point, with medium economic growth rates, policies based on existing
laws, and a low level of government resources. these three scenarios
provide a range of incremental policy changes, serving as a basis for
comparative policy analysis.
a large majority of the population of the
region of la paz lives within a relatively tight contigous urban area in
the city of la paz (figure 22). outside of the urban area are scattered
rural settlements, industria facilities in the north at punta prieta and
pichilingue, and a small number of tourist developments.
future development will both expand the existing urban area and develop
new areas outside of the urban core. the directiion of extent of growth
will be shaped by the possible addition of new roads, the future demand
for housing, commercial, and tourism development, and land use policies.
figures 23, 24, and 25 show the projected land use
patterns for alternative futures a, b and c. as expected, alternative
future a displays the greatest changes in land use with growth expanding
along the coastlines and the road networks to the south. in addition to
the larger urban area, development occurs on the mogote and along the most
attractive coastlines on the northern peninsula. alternative future c
occupies the other extreme with lower overall growth and a more compact
area of change. alternative future b represents one of several midway
points between these extremes.

figure 21. three selected scenarios

figure 22. land use in the year 2000
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figure 23. land use 2020.
alternative future a. rapid growth, unregulated policy set, high
public resources. |
figure 24. land use 2020.
alternative future b. moderate growth, legal policy set, low public
resources. |
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figure 25. land use 2020.
alternative future c. trend growth, proactive policy set, high public
resources. |
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<to see
all the scenarios, please click here>
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