JP2000089664A - Land use planning method - Google Patents

Abstract

(57) [Summary] [Problem] To provide a land use planning method that can obtain a richer ecological environment and obtain grounds from the aspect of ecological environment in a green space improvement plan. The present invention detects an ecological potential representing a relationship between a land cover state of a surrounding area including a land use plan target area and a bird inhabiting the area and a preferred land cover state, and determines continuity with the surrounding ecological environment. The target ecological potential of the land use planning target area is set taking into account the
Land cover classifications that can obtain the planned target ecological potential and their respective composition ratios are detected (steps S4 to S6). Then, a natural activity obtained by superimposing the green vegetation status of the land use plan target region and the habitat status of the species of living organisms living thereon is detected (step S7), and an area having a low natural activity is designated as a development site. The area having a high natural activity is planned to be used according to the land cover classification and the respective composition ratios as an area for preserving its ecological potential (step S8).

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a land use planning method, and more particularly, to a land use planning method taking into account surrounding ecosystems.

[0002]

2. Description of the Related Art With the progress of urbanization and the accompanying decrease in green spaces, familiar creatures, such as insects and wild birds, which were once seen everywhere, are disappearing. Green spaces around the city and scattered green spaces left inside the city are valuable places for small animals.

For this reason, when practicing a land use plan and an environmentally-friendly building plan in consideration of the natural environment, the green space left in the target land use planning area is determined as a habitat for small animals in the surrounding green space. It is important to understand whether such a relationship exists. As an information source of the expression of the quality of the environment from such a viewpoint, for example, "existing vegetation map" is used.

[0004]

However, although evaluation as a plant community has been made by using "current vegetation map" or the like, evaluation as an animal community has hardly been undertaken at present. , To understand the relationship between the target land use planning area and the surrounding ecological environment,
There was a need for a land use planning method to minimize the impact on the ecological environment and to create a richer ecological environment.

The main purpose of the green space development plan is to plant functional landscapes such as scenic landscapes or sound insulation and blindfolds. However, it is often unclear on what basis the consideration was given.

Accordingly, the present invention has been made in view of the above-mentioned conventional problems, and it is possible to obtain a richer ecological environment and provide grounds for the green space improvement plan from the viewpoint of the ecological environment. It aims to provide a possible land use planning method.

[0007]

In order to achieve the above object, a land use planning method according to the present invention relates to a method for determining the relationship between the land cover state of a surrounding area including a land use planning target area and living organisms living there. Along with detecting the ecological environment characteristics represented, detecting the natural activity indexing the green richness of the land use planning target area and the habitat state of the creatures living there, to develop a low natural activity area The region having a high natural activity is characterized by preserving the ecological environment characteristics corresponding to the region.

In the present invention, the surrounding area including the land use planning target area is set as the target area, and the ecological environment characteristics representing these relationships are determined based on the land cover state of the target area and the creatures living there. Is detected. That is, for example, an ecological environment characteristic indicating the relationship between the type of birds and the land cover state is detected from the types of birds and the like that inhabit the survey target area and the land cover state.

In addition, the richness of green based on the green vegetation index and the like of the land use planning target area and the habitat of living things such as what kind of living inhabit are indexed here. Natural activity is detected.

Then, a region having a low natural activity is developed,
Areas with high natural activities are designed to preserve the ecological environment characteristics corresponding to this area.For example, considering the continuity with the ecological environment characteristics of the surrounding area, green areas will be converted according to the ecological environment characteristics It is planned to proceed. As a result, a land use plan will be implemented without losing ecological richness, and a green space improvement plan will be implemented based on grounds.

[0011]

Embodiments of the present invention will be described below. FIG. 1 shows an example of a land use planning device to which a land use planning method according to the present invention is applied. For example, an input device 1 such as a keyboard, an output device 2 such as a CRT display and a printer, and An arithmetic processing unit 3 that executes a predetermined land use planning process based on input data and outputs a planning result to the output device 2.

In the arithmetic processing unit 3, the input device 1
Based on the land cover information and bird fauna information of the survey target area consisting of the surrounding area including the land use planning target area input from, based on, for example, detecting the ecological potential representing the ecological environmental characteristics from the viewpoint of birds, An index for superimposing and evaluating these based on green space activity information indicating the abundance of greenery of the land use planning target area and the inhabiting organism information of the land use planning target area input from the input device 1. A certain natural activity is determined, and a region with a low natural activity is developed, and a region with a high natural activity is planned as an area for planting trees, for example, so as to preserve the ecological environment characteristics specified based on the ecological potential.

FIG. 2 is a flowchart showing an example of a processing procedure of the land use planning processing executed by the arithmetic processing unit 3. The processing program for the land use planning process is electronically stored in a storage medium (not shown) such as a ROM, a flexible disk, a compact disk, or a hard disk. The processing program of the processing is read out and executed.

As shown in FIG. 2, in the arithmetic processing unit 3, first, in step S1, land cover information of a survey target area, that is, a land area including a land use planning target area, and The bird fauna information, the green space activity information of the land use plan target area, and the inhabiting organism information are read.

The land cover information is obtained by, for example, using a land use map of 1/25000 and an aerial photograph of 1/10000 issued by the Geospatial Information Authority of Japan, and setting the area to be surveyed to a minimum of 500 m, for example.
It is divided into four meshes, and the area composition ratio of the land cover category is calculated for each mesh. The land cover category is, for example, a business / commercial area, a low-rise residential area, a middle-high-rise residential area, an afforested land, a grassland, a cultivated land, a bare land, an artificially covered flat land, and the like.

The bird fauna information is obtained by, for example, selecting a mesh having a characteristic land cover condition as a sample mesh from all the meshes in the survey area during a bird breeding season and a wintering season, and conducting a field survey. The appearance-non-appearance pattern of birds is obtained as a matrix.

The green space activity information is obtained by using remote sensing data observed by an artificial satellite.
Green space vegetation index (NV
I). Further, the inhabiting organism information includes:
This is the number of species of inhabiting animals in the land use planning target area.

Next, the process proceeds to step S2, and quantification / cluster analysis processing is performed based on the bird phase information input in step S1. In other words, a mesh group having a similar appearance-non-appearance pattern of birds can be considered to be a mesh group evaluated to have a similar environment from the birds appearing there. Therefore, for example, the similarity between birds and a sample mesh is analyzed using quantification type III.

Further, based on the category scores and the sample scores obtained from the results of the quantification type III, cluster analysis is performed, and clustering based on similarity is performed.
From the environmental preferences of the bird species that make up each cluster, the ecological characteristics of the cluster are extracted.

Then, the process proceeds to step S3, where the correlation between the land cover conditions and the ecological characteristics of birds is analyzed.
For example, a bird ecological environment structure model shown in FIG. 3 representing these relationships is created. Figure 3 shows land cover conditions classified into afforestation mesh, grassland / forest land mosaic mesh, forest scattered mesh, grassland mesh, and urban mesh.
The clusters are classified into mosaic-environment-preferred clusters, dotted forest-preferred clusters, forest-environment-preferred clusters, and herbaceous-environment-preferred clusters, and show the correlation between them.

Next, proceeding to step S4, a discriminant obtained as a result of analyzing the sample mesh by the quantification class II using the land cover classification and the respective composition ratios as explanatory variables and the mesh cluster as the objective variable, Based on the land cover conditions of the entire surveyed area, the ecological environment characteristics of the entire surveyed area are estimated, and this is generated, for example, as an ecological potential map shown in FIG.

This ecological potential is an index showing the potential of the ecological environment evaluated from the land cover conditions of the survey area and the diversity of the organisms living there, and is used for analyzing the ecological environment of dotted green spaces. Here, birds with flying ability are set as evaluation indicators, and the relationship between the composition (bird fauna) of bird species flying to the survey area and the land cover conditions is analyzed. It represents the characteristics of the ecological environment seen.

Next, the process proceeds to step S5, and among the ecological potentials obtained in step S4, an ecological potential corresponding to the land use plan target area is extracted, and the continuity of the land use plan target area with the surrounding ecological environment is extracted. The target ecological potential of the land use planning target area (hereinafter referred to as the planned target ecopotential)
Set.

Next, the process proceeds to step S6, and the land cover classifications and the respective composition ratios that can create an ecological environment for realizing the planned target ecological potential, which are set in step S5, are determined by the quantification type II in step S4. It is set based on the discriminant obtained as a result of the analysis. That is, the land cover classification and its composition ratio, in which the ecological environment characteristics set based on the discriminant formula can be the planned target ecological potential, are examined.

Next, the process proceeds to step S7, in which, for example, the number of inhabiting animal species is indexed based on the inhabiting organism information input from the input device 1, and this is indexed together with the green space activity to ecology the target area. The natural activity that classifies and evaluates the vitality is detected for the entire area targeted for land use planning.

Next, the process proceeds to step S8, and based on the land cover classification and the respective composition ratios examined in step S6 and the natural activity detected in step S7, the natural activity of the land use planning target area is determined. A low land area is defined as a development land, and a high natural activity area is planned to be maintained as a green space based on the land cover classification and the respective composition ratios examined in step S6. Then, the plan for the land use plan target area obtained in this manner is output to the output device 2, and the process is terminated.

Next, the operation of the above embodiment will be described.
For example, about 1 in which 10 tertiary areas are included vertically and horizontally
A 0 km square is a survey target area which is a peripheral area including a land use planning target area, and a mesh of about 500 m square obtained by dividing each tertiary area block into four is used as a minimum unit.

First, the operator firstly issues a 1
Using the / 25000 land use map and 1/10000 aerial photograph, for the area corresponding to each mesh, the land cover category (business / commercial area, low-rise residential area, middle-high-rise residential area, plantation, grassland, arable land, bare land) , Artificially covered flat ground).

Further, of all the meshes in the survey area,
A field having characteristic land cover conditions is used as a sample mesh, this area is surveyed on site, and the appearance / non-appearance patterns of birds during the breeding season and wintering season of birds are obtained as a matrix. Here, a case will be described in which the determination is made based on the breeding season data. In addition, in order not to distort the result of the multivariate analysis, the analysis target mesh is a mesh in which two or more kinds of birds are recorded, and the analysis target bird is a species that appears in two or more meshes.

Further, using the remote sensing data observed by the artificial satellite, a green vegetation index remaining in the land use planning target area is obtained, and the number of species of inhabiting animals in the land use planning target area is detected. As the number of inhabiting animal species, for example, the type of birds and, if possible, the number thereof are detected.

When the various information detected in this way is input from the input device 1 (step S1), the arithmetic processing device 3 first performs quantification / cluster analysis processing based on the bird phase information. (Step S2), appearance of birds-
Apply quantification type III to the non-occurring matrix to analyze the similarity of bird species and mesh.

Then, cluster analysis is performed based on the category scores and sample scores obtained by the quantification type III, and clustering based on similarity is performed. Thereby, the environmental preference of the bird species constituting each cluster is interpreted, and the ecological environment characteristics that the cluster means are extracted.

Then, based on the ecological environment characteristics and the land cover conditions, the correlation between them is analyzed (step S).
3) Based on these analysis results, a bird ecological environmental structure model representing the relationship between birds and the mesh is created, for example, as shown in FIG. In the bird ecological environment structure model shown in Fig. 3, the mesh cluster consists of plantation mesh, grassland and
It is categorized into five types: woodland mosaic mesh, forest dotted mesh, grass spot mesh, and urban mesh.
Bird clusters are categorized into five species: universal species, mosaic environmentally preferred species, dotted forest preferred species, forest environmentally preferred species, and herbaceous environmentally preferred species.

Next, with respect to the sample mesh, the discriminant obtained from the analysis by the quantification type II using the land cover classification and the respective composition ratios as explanatory variables and the mesh cluster as the objective variable, Based on the covering conditions, the ecological environment characteristics are determined for the entire survey target area (step S4), and an ecological potential map of the survey target area including the land use plan target area is generated as shown in FIG. 4, for example. . In FIG. 4, the ecological environment characteristics of each mesh are discriminated as the ecological potential for the four types except for the clusters with few corresponding meshes (grass point clusters) from the land cover conditions.

Next, the ecological potential of the land use plan target area is extracted from the ecological potential map, and the planned target ecological potential in the land use plan target area is determined in consideration of continuity with the surroundings. Set (step S5). Further, using the discriminant obtained by the quantification type II, the land cover classification and the respective composition ratios that can obtain the planned target ecological potential set in step S5 are set (step S6).

Next, based on the inhabiting organism information of the land use planning target area input from the input device 1, in this case, the species and number of birds, and the green space activity, these were indexed together. The natural activity is obtained (step S7), and a land use plan is made based on the obtained natural activity, the land cover classification set in step S6, and the respective composition ratios (step S8). In other words, places with low natural activity
Green space activity is low, that is, the quality of green space is low and quantity is small,
In addition, since the species or the number of living organisms inhabiting the area can be regarded as small, an area having a low natural activity among the land use planning target areas is set as an area that can be developed as a residential land or the like. Conversely, places with high natural activity have high green space activity, that is, the quality of the green space is high and the amount is large, and the species or the number of living organisms living there can be considered to be large. High areas are set as green area preservation areas, and green area maintenance is performed based on the land cover classification and the respective composition ratios.

Therefore, the area with a low natural activity is set as a development area, and the area with a high natural activity is set as a land use plan so as to be preserved as a green space. Can be suppressed.

Further, by using the natural activity, it is possible to quantitatively indicate the ecological richness of the land,
By making a land use plan based on this natural activity, it is possible to maintain green areas without making useless plans such as preserving areas with low natural activities, that is, areas that are not ecologically rich as green areas. Can be performed effectively without waste.

In addition, a region having a high natural activity is preserved as a green space, and a green space is developed based on a land cover classification for obtaining a planned target eco-potential set based on an eco-potential map and a composition ratio of each. Therefore, considering the relationship between the area with high natural activity and the habitat of the birds living there, trees suitable for the ecological environment characteristics will be planted, Use plans can be made without compromising the current ecological characteristics. In addition, it is necessary to clarify the meaning of the area to be conserved as a green space in the ecosystem, and to maintain the ecological characteristics of the land in relation to the surroundings, thereby enhancing ecological richness. Can be preserved. In addition, we can make green space plan with grounds.

FIG. 5 is a diagram showing a distribution state of green tract of land activity before construction of a new town construction site analyzed using remote sensing data. In addition, FIG. 6 shows that a place with a low natural activity is converted into a residential land based on the analysis result of the natural activity evaluated in accordance with the distribution status of the green space activity of FIG. 5 and the number of inhabiting animal species at the planned site. Set up a planned target ecological potential and plan supplementary planting according to the surrounding vegetation so that the parks with use type parks and green tracts will be preserved and preserve places with high natural activity as green tracts. It shows the distribution status of the green space activity that is predicted when the operation is performed. FIG. 7 shows the distribution status of each green space activity in FIGS. 5 and 6 numerically. As shown in FIG. 7, it can be predicted that the green area of the entire green area is reduced due to the development of a residential area or the like, but the green area activity of the entire planned area is not impaired. Note that the black portions in FIGS. 5 and 6 represent a pond.

In addition, when bird habits were surveyed before and after the construction work on this planned site, the priority within the fauna (the ratio of a certain number of individuals to the total number of bird species that appeared) changed. However, it was confirmed that there was no significant change in the bird species and the total number of birds. In other words, it can be considered that land use was carried out without impairing the ecological richness appropriate for the habitat of birds.

In the above embodiment, a case has been described in which birds are applied as the biological inhabiting information.
The invention is not limited to this, and it is also possible to apply land-crawling amphibians, mammals, and insects.

Further, in the above-described embodiment, the case where land is used for residential land or the like has been described. However, the present invention is not limited to this. It can also be applied to green space planning and the like.

[0044]

As described above, according to the land use planning method of the present invention, the ecological environment characteristic is detected based on the land cover state of the surrounding area including the land use planning target area and the creatures living there. At the same time, detecting the natural activity index indexed by superimposing the green richness of the land use planning target area and the habitat status, developing an area with low natural activity,
Areas with high natural activity are planned to preserve their ecological environment characteristics, so that land use planning can be carried out without impairing ecological richness, and green space development plans should be carried out on grounds. Can be.

[Brief description of the drawings]

FIG. 1 is a configuration diagram illustrating an example of a land use planning device to which the present invention has been applied.

FIG. 2 is a flowchart illustrating an example of a processing procedure of land use planning processing.

FIG. 3 is an example of a bird ecological environment structure model.

FIG. 4 is an example of an ecological potential map.

FIG. 5 is an explanatory diagram showing a distribution state of green space activity before construction when construction is performed based on the land use planning method according to the present invention.

FIG. 6 is an explanatory diagram showing a distribution state of predicted green space activity after construction.

FIG. 7 is a numerical representation of FIGS. 5 and 6;

[Explanation of symbols]

 Reference Signs List 1 input device 2 output device 3 arithmetic processing device

 ──────────────────────────────────────────────────続 き Continuing on the front page (72) Inventor Chikako Watanabe 1-25-1, Nishi-Shinjuku, Shinjuku-ku, Tokyo Taisei Construction Co., Ltd. (72) Inventor Tadamasa Nakamura 4-2-1, Yotsuya, Shinjuku-ku, Tokyo Yoshioka Building 4F Inside the Ecological Planning Institute Co., Ltd. (72) Takao Ogawara Inventor 4-32 Yoshioka Building, Yotsuya 4-chome, Shinjuku-ku, Tokyo 4F Inside the Ecological Planning Institute Co., Ltd. F term (reference) 2C032 HA00 HA17

Claims (1)

[Claims] The present invention detects an ecological environment characteristic representing a relationship between a land cover state of a surrounding area including a land use planning target area and a creature that inhabits the land cover state. Detecting natural activity indexing the inhabiting state of living organisms and developing a low natural activity region, the high natural activity region preserves the ecological environment characteristics corresponding to the region. A land use planning method characterized by the following.