Futuros Alternativos para la Región de Loreto

 

ALTERNATIVE FUTURES FOR THE REGION OF LORETO,
BAJA CALIFORNIA SUR, MEXICO


The Scenarios

Each scenario is defined by a unique combination of economic growth and policy variables. Economic and population growth forecasts are linked to the number of new rooms in planned developments, including tourism resorts. The policy context determines the amount and location of land to be available for development in each of the scenarios. In addition, assumptions regarding the placement of new roads and upgrade of existing roads vary by scenario.

Population Growth Alternatives

The demand for new land uses is reflected in five possible alternatives defined by the number of rooms in tourism-related developments. The number of new rooms accounts for both hotel rooms and rooms in the high-end residential market, including villas, condominiums, and other similar housing development projects. This is appropriate given that much of the growth in Loreto will be the result of housing developments.

The linkage between the expansion of the real estate, tourism markets, and population growth is estimated using a simple ratio of population in respect to tourism-related rooms of 15 to 1. This number is based on the experience of other tourist destinations in Mexico. However, we also recognize the uncertainty in this ratio. The actual ratio will depend on many factors, such as the overall performance of the Mexican economy and the performance of the other tourism locations. The ratio of new migrants to tourism development is also a key determinant in future levels of per capita income for the region. The population to room ratio is largely beyond the control of local leaders. However, leaders are able to limit the number of new tourism-related rooms that are permitted, which will have an impact on the population.

To account for this uncertainty, we look at the implications of lower and higher population-to-room ratios in the largest scenarios, constructing two scenarios built on ratios of 10 to 1 and 20 to 1, respectively.



The existing population of the region is estimated at 15,000. We define 5 levels of possible growth over the next 20 years. The lowest assumes a doubling of population. The highest projects an ultimate population of 240,000 people, based on a total of 12,000 tourism-related rooms and a population to room ratio of 20 to 1. The rate of growth necessary to reach the estimated population levels in the year 2025 varies from 3.5% to almost 15% (see Table 1). As we discuss later, both the ultimate size of the population and the rate of growth represent a critical challenges for planning and policy.

The demand for new land uses is derived from planned resort and housing developments, population levels, and gross development densities for each of the land use categories. We do not assume contiguous development that is of uniform density. Therefore, the new developed areas allocated on the landscape are gross densities, implying that there will be open spaces interspersed with the actual new developments. The polygons should therefore be interpreted as showing the extent of influence of urban development, not the actual footprint of individual buildings and housing plots. The projected densities of new development vary with the demand and supply of new land uses. The demands for new lands uses are shown in Figure 7.
 




Supply of Developable Land

The supply of developable land is defined by a set of land use policies. The columns in Table 2
correspond to different policy sets that define where future development would be permitted.

Five policy options are included in the study:

Sin Planeación

This alternative assumes that all land is available for development. The only areas that are precluded from development in the computer simulations are areas with steep slopes or frequent flooding. These limitations are included to approximate behavioral choices of landowners and developers, not policy choices.

Plan Propuesta

This alternative represents a somewhat simplified version of the plan currently under consideration in Loreto. In the actual plan, the allowable density for development varies by location. Nevertheless, the implied densities of future growth allocated by the computer models are consistent with the limits stated in the plan. Where site-level plans are available, we have tried to replicate the plans for each of the areas.

Loreto 2025

This policy set reflects a spatial plan submitted for study by a local non-governmental organization, Loreto 2025. Much of the future growth in this plan is restricted to the northern areas of the region close to the town of Loreto. Fewer areas in the south are opened for development. We offered to study alternative plans submitted by local groups. This was the only such plan that was submitted to us.


Proactivo Moderado

This policy set includes a number of policies designed to protect key public goods, including hydrological, ecological, visual, recreational, and economic assets. This alternative is a rulesbased zoning pattern created by the research team that was later converted into a spatial model by the computer, guided by the spatial rules. Areas of high ecological or visual value are set aside, as well as areas subject to safety risks. These areas include areas at risk of flooding from hurricanes, arroyos that flood regularly, areas with important biodiversity, steep slopes, and highquality view corridors.

Proactivo Muy Regulado

This policy set is based on the same criteria as the previous alternative, except that the level of visual protection is much stricter, thereby removing additional land from possible development. Table 3 summarizes the elements that define the policy sets.

The constraint areas function differently for each of the land use types. High-end housing, for example, is permitted to build on slopes of up to 20%, while commerce and mixed urban is restricted to land on slopes no greater than 10%. The new land use allocations assume that resorts, high-end housing, commerce, and mixed urban respect the designated spatial plans. The allocation of informal settlements is governed by the assumption that enforcement of property rights is costly, both economically and politically, and will therefore not be consistently implemented. Informal housing therefore does not respect these same spatial restrictions, although they are prevented from building in areas of high development value.


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