Current World Environment

Introduction

Today, all nations came to the conclusion that due to the need to communicate community groups with each other and social interaction, and the right of presence of all people in all urban areas, it is necessary keep justice in the design and planning of urban spaces. Activities and human behavior in urban spaces are shaped by social and cultural relations with other human beings in this area, so, the realm of justice for all age groups, sex, race, etc., are an important issue. It seems that modern urbanization with its all claims based on justice and equality is male-dominated, and in most cases it can be seen that many of the needs and values of feminism totally ignored. So, it is regarded that correlation between planning and gender equality has been changed to a fundamental discourse in architecture and urbanism. To make the city more beautiful, safer and more pleasant, we should consider the role of gender and women's values in different issues such as transport, urban housing spaces, and the city the public spaces and leisure places. On the other hand, urban spaces are important issue to reach to a developed society and its important characteristics is coordination of all sociological groups. Justice is one of the fundamental concepts of sustainable development. So that sustainable development will not be achieved without justice possible. In other words, justice is considered as a prerequisite for any action that aims to do for increasing quality of life. Gender justice, is an important issue in field of sustainable development, in a way that, according to the World Bank to achieve gender equality to national economies it is very essential (Barton, 2002). Gender equity and equality between women and men, is not only a desire for basic human rights and social justice, but rather as an essential tool and a prerequisite for the preservation of the environment, sustainable development, human security. Twelve keywords have been defined in Fourth World Conference on Women in Beijing in 1995. Considering to them are very important to achieve gender equality. Some of these keywords are poverty, education, health, violence, economics, decision- making, war and women , institutional mechanisms, human rights, communication, etc., that are important issues of gender equality and strategies for its implementation in large cities and to achieve sustainable development. Lang (2007) defines the most important factors affecting gender equality, especially in management and decision -making as follows: Legal discrimination towards women's needs and rights that are derived from the dominant patriarchal values.

• Lack of knowledge about women and their strength in aiding the sustainable development

• Patriarchal values that from early childhood slowly affects the attitudes of men and women throughout life and more precise sociological norms about gender inequality in the common role of man and woman.

• Discriminatory social structures and attitudes associated with the level of the individual, collective and institutional.

• Operating system, culture, organizational structures and policies that affect gender inequality (Lang, 2007).
  

Regarding to women values and Gender Justice in approaches that are discussed is feminism and women's rights are the cornerstone of feminism. All feminist theory at the end are agree that women are human beings. Not Doll, Slave, object or animal. Friedman argues in this regard that the idea of feminism is actually an offshoot of the civil rights movement. The strength and vitality of the feminist movement in its diversity have been hidden, i.e. the ability to adapt to different cultures and eras (Franck, 2002). It also should not forget that the true feminist movement does not seek to replace instead of Femininity with Patriarchal but its most fundamental goal is to establish a world not only for some women, but for all of them, and not just for some women, but for men as well to be a better place (Franck, 2002). The Castells believes women's social movements rooted in ancient history, but their modern form, feminism, has been begun from about 1960, first in Europe and America and gradually began to find the range wide. Feminist movement is redefining the essence of women’s identity, equality of men and women. Feminism is very heterogeneous and varied, but in general it can be a simple expression to be defined as a commitment to end male domination. Feminist movement is redefining the essence of women's identity, equality of men and women is sometimes acknowledged, sometimes underscores the inherent superiority of women and feminine ways as a human resources. So common underlying infrastructure that makes up the diversity of feminist movement include: historic efforts, individual and collective, formal and informal, to redefine femininity in direct confrontation with patriarchy (Krenichyn, 2004). In examining the issue of gender equity that is an important consideration, the sustainable development in cities has great emphasis on this issue. Gender socialization patterns of culture derive occurs. Gender is determined by social and cultural pattern. Gender is defined by men and women in order to identifying relation between them and their environment. Thus, clear roles and responsibilities for men, women and youth will be levied on the basis of gender in society (Lang, 2007)

Problem Statement

性别平等和妇女问题,标本red from different aspects by international organizations. International Organization for Human Settlements (World Bank and Gender and Development Groups, 2003) has organized strategic considerations in this regard in several areas

• Basic services

• Human Rights

• Economic capacity

• Transport

• Right to safety and to prevent harassment of women (Rezazadeh, 2005)

妇女作为公民参与应该享受的生活e in the city, so it is necessary to restrict all barriers to participation in urban life. This includes security, transport, housing and other items above. If suitable planning and design in urban spaces has made, it certainly will have increased impact. In a modern society, taking into account the pluralistic civil rights and justice-oriented approach, provide conditions that women as well as men can be present in urban spaces. Importance of women presence in various fields of scientific, political, and social, has been demonstrated (Rezazadeh, 2010). In other words, women as half the world's population, have the right to be present with men in urban spaces, and should not be limited by the presence of multiple factors. These barriers include physical problems of space, cultural, social and etc. Gender approach "in planning and designing urban spaces based on the needs of men, lead to make urban spaces as the male and develop”gender blindness". The presence of women in the society is a inalienable right of all women and they as well as men should have equal conditions for participation in the urban areas, but today women have been denied their civil rights somewhat. To ensure this equality, society must understand the differences in the needs, circumstances and individual goals, overcome obstacles and limiting factors and prepare possibility of social participation (Afsharnia , 2009). In fact, urban spaces as physics of cities should meet social needs, and prepare conditions to allow users, both men and women, to enjoy the spaces. In Iran, due to various social, cultural, political, and etc, urban spaces monopolized by men and considerations to women problems such as work and family bond or security has not been taken. Poor urban spaces, defenseless spaces, unsafe neighborhoods, cities and urban architecture that are just manly are of the factors threatening the security of reducing women's social participation as an important part of the community (Farrokh seresht, 2011). So in this article we examined the role of gender equality in the sustainable development of big cities.

Research hypotheses

The main hypothesis of this study was: It seems there is a direct relation to gender equality and sustainable development of cities.

1. It seems that there is direct relation between sustainable development of cities and the safety of women in public spaces in the city.

2. It seems that in cities with higher levels of sustainable development, women are using of urban spaces like men.

3. It seems that there is a direct relationship between sustainable developments of large cities with high levels of women's education.

4. It seems that in cities with higher levels of sustainable development, females’ employment levels are at a higher level.

DescriptiveStatistics

This section presents descriptive statistics and tables to examine sample characteristics. Typical characteristics of these are useful to help the general characteristics of the study population and the general characteristics that are specified for other researchers. Moreover, this knowledge makes generalize the results to other populations, or in the design of future research questions for other communities to use this information. Tip is that gender justice and sustainable urban development level, both are structural and macroeconomic indicators that each of them has formed from several components and reagents that are visible and can be assayed based on the theories discussed. Therefore, we examined descriptive statistics and viewed the frequency distribution (Tables 4.2.4 and 5.2.4), but for the study of inferential statistics using factor analysis techniques examined details and the components of these two constructs.

Table1:Distribution of frequencyby gender

Variablecategories	No.	Frequency (%)	Validity (%)	Mode
Men	100	50	50	Two exponential
Women	100	50	50
Total	200	100	100

From Table 1 it can be concluded that 50% of the participants were male and the remaining (50%) are women. Because the calculated frequencies are also quite evenly distributed by double exponential, so, there is no mode or more frequency.

Table 2: Frequency distribution based on women's safety in public spaces of cities in
terms of sustainable development

Variablecategories	No.	Frequency (%)	Validity (%)	Median
Very low	3	1.5	1.5	3.5
Low	22	11	11
Moderate	75	37.5	37.5
High	84	42	42
Too much	16	8	8
Total	200	100	100

从表3的数据,图3ferred that the idea of 1.5% of the sample population, the rate of women's security in public spaces in developed cities were very low, and 11%, 37.5%, 42% and 8% were less, moderate, high and very high respectively. The median value was equivalent with 3.5, which implies that the average number of comments about the level of security of samples women in public spaces in cities, in sustainable development cities is much more than average. In other words, the median index is of index types that characterize the data distribution center that in here is equal to the average or high level.

Table3:Frequency distributionaccordingto genderjusticeinmajor cities.

Variablecategories	No.	Frequency (%)	Validity (%)	Median
Very low	4	2	2	3
Low	36	18	18
Moderate	87	43.5	43.5
High	62	31	31
Too much	11	5.5	5.5
Total	200	100	100

Table 3 shows that 4% of the examined population believed that the gender justice in major cities is very low, and 18%, 43.5%, 31% and 5.5% of them believed low, moderate, high and too much, respectively. The mean value is equal to 3, this figure implies that the sample mean comments about how gender justice in the big cities is about average. In other words, the median index is of index types that characterize the data distribution center (or the 50 percent distributions) which here is equal to the average level.

Factor Analysis

Factor analysis is a multivariate statistical method that establishes a theoretical model between the frequencies of variable. This method is based on the assumption that the observed variables are of linear combinations of hypothetical that are more fundamental. In this study, there are two basic structures: gender justice and sustainable urban development, the basic structure of each reagent composition and indices are composed of a hypothetical. According to the theory associated, structures of gender quality are combined of three references including equal opportunity for economic, social and cultural opportunities and equal opportunities in political and civil and sustainable development as well has been composed of four fundamental (economic development, social and cultural development, physical development, and develop suppliers). Therefore, to determine the validity of each of these reagents for the desired structures should use factor analysis as follows

Gender justice

As noted, this structure is represented by three postulates: equal opportunity for economic, social and cultural opportunities, and political and civic opportunities. The first step in determining construct validity in factor analysis is to determine the correlation table references with each other and also determining the determinant of the matrix and to estimate K.M.O.

Table 4:相关科fficient

相关科fficients	Equal opportunities for economic	Equal opportunities for social and etc	Equal opportunities for political and etc
Equal opportunities for economic	1000	0.951	0.924
Equal opportunities for social and etc	0.951	1000	0.975
Equal opportunities for political and etc	0.924	0.975	1000
Determinant of the coefficients	0.005

相关系数越大的结构reagents with each other, the more power of reagents indicates. The correlation coefficient always varies between (1 to -1) therefore much closer correlation between stronger and weaker correlation value is closer to zero as possible. As can be seen in the table above, all of the coefficients values are above 0.9, which represents the amount of correlation between the reagents are very powerful. By the way, the main diagonal matrix is equal to 1 that shows the correlation of each item with itself and complete correlation. The amount of matrix correlation determinant is equal with 0.005 that shows the validity and matrix correlation of variables. The closer determinant to zero, the more qualification of variables for factor analysis.

Table 5:K.M.Oormeasure ofsampling adequacy

Criterion
K.M.O or measure of sampling adequacy
Bartlett criterion	The chi-square (x2)
	Degrees of freedom
	Significant level.

In the above table, two other criteria for eligibility and validity data are presented: a standard measure of sampling adequacy or KMO and Bartlett. A measure of sampling adequacy maximum and the minimum is zero, so the closer of this figure to 1 the more appropriate measure is considered and the figure under 0.6 is unacceptable. As can be seen in the table above, this measure is above 0.7, and the number is considered sufficient. Bartlett measure also is significant at the level of 99% confidence, so these two criteria, confirm the presence of factor analysis.

Table 6: Estimates of the amount of sharing of each component (structural gender justice) with component by the method of principal component analysis

Components	Sharing before extracting	The rate of subscription with factor
Equal opportunities for economic	1000	0.950
Equal social opportunities	1000	0.984
Equal political opportunities	1000	0.966

The above subscription rate of each factor is calculated for each component. The subscription rate of variable indicates the amount of variance that is explained by the greater amount of a component or variable, and the more this rate means that it is represented by desirable way. In the above table, equal opportunities for social and cultural factors is a little more but overall subscription rate of all variables with the factor is above 0.9.

Table 7: estimates of values and variance corresponding to the factor

Components	special values calculated
	Total	Explained variance (%)	Cumulative percentage (%)
1	2900	96.671	96.671
2	0.079	2.645	99.315
3	0.021	0.685	100

In the above table, specific values and explained variance by each factor is obtained. As, the three factors define high percentages of first factor that determine 96% of these factors. So, second and third factors are ignored and can define with high confidence that all of these three factors including equal opportunities for social and cultural and civil and political opportunities have important role in gender equity in the rate of 96%. So validity is confirmed.

Table 8: Determining the factor loadings

components	Factor loadings with respect to the first factor
Equal opportunities for economic	0.975
Social and cultural equal opportunities	0.992
Political and civil equal opportunities	0.983

The above table represents the highest correlation coefficient with equal opportunities for cultural, social and gender justice factor. But all reagents, have very high operating rates and favorable.

Structure of sustainable urban development

如前所述,结构由四个postulates: economic, social and cultural development, physical development, and develop suppliers. The first step in determining construct validity using factor analysis is to determine the correlation table references with each other and to determine the determinant of the matrix and estimate KMO.

Table 9: correlation coefficients of variables

相关科fficients	Economic Development	Cultural development	Physical Development	Develop suppliers
Economic Development	1000	0.886	0.827	0.751
Cultural development	0.886	1000	0.933	0.829
Physical Development	0.827	0.933	1000	0.864
Develop suppliers	0.751	0.829	0.864	1000
Determinant of the coefficients	0.007

大的一般结构试剂correlation coefficients the more power of reagents in the formation of the desired structure. The correlation coefficient always varies between (1 to -1) and as the outcome measure is closer to zero the correlation value will be weaker. As can be seen in the table above, all of the coefficients values are above 0.7, which is the value of the strong correlation between the factors. The main diagonal of a matrix is equal to one that this amount indicates the correlation of each component with itself and is complete correlation. The amount of matrix determinant correlation is equal with 0.007 that this amount shows the validity of variables and correlation matrix of variables.

Table 10: K.M.O or measure of sampling adequacy

Criterion		Coefficients
K.M.O or measure of sampling adequacy		0.820
Bartlett criterion	The chi-square (x2)	977.665
	Degrees of freedom	6
	Significant level.	0.000

In the above table, two other criteria for eligibility and validity data are presented: a standard measure of sampling adequacy or KMO and Bartlett. A measure of sampling adequacy of the maximum and the minimum is one and zero, respectively. So, the closer of this number to one, the more appropriate measure is considered and the figure below 0.6 is unacceptable. As can be seen in the table above, this criterion is above 0.8, which is considered a good amount of variety. Bartlett measure also is significant the level of 99%, so these two criteria, confirm the presence of factor analysis for structures.

Table 11: Estimates of the share of each component (construction of sustainable urban development) with factor by using principal component analysis method

Components	Sharing before extracting	The rate subscription with factor
Economic Development	1000	0.845
Cultural Development	1000	0.940
Physical Development	1000	0.928
Develop suppliers	1000	0.834

The above table shows the rate of subscription with factor. In the above table, social and cultural development is more than the other components, but the total amount of shared variables with factor is above 0.9.

Table 12: estimates of specific values and corresponding variance with the factor

Components	Specific Values Calculated
	Total	Explained variance	Cumulative percentage (%)
1	3.547	88.672%	88.672
2	0.261	6.519	95.191
3	0.138	3.442	98.633
4	0.055	1.367	100

In the above table, specific values and explained variance, is obtained by each factor. Since each factor represent a high percentage of the first factor and in fact determine more than 88% of these factors, so, the second, third and fourth factors are ignored and can be concluded that all four factors (economic, social and cultural development, physical development, and develop suppliers) have important role in the form of sustainable urban development and are involved in the formation rate of 88%. So validity is confirmed.

Table 13: Determining the loading factors

	加载因素对第一个因素
Economic Development	0.919
Cultural development	0.970
Physical development	0.963
Develop suppliers	0.913

In the above table, social and cultural developments have the highest correlation coefficient with the factor of sustainable urban development. But all reagents have very high and favorable operating rates. Thus, the validity of the two constructs of gender justice and sustainable urban development can be confirmed and can test the relations of these structures.

Results

Table 14: ANOVA for comparing intra and between groups

Sources of variation	Sum of square	Degree of freedom	The mean square	F-statistic	Sig
Between-groups	45.996	14	3.285	6.367	0.000
Intra- groups	95.018	185	0.514
total	141.013	199

According to the F-statistic values and the error observed in the above table we can conclude that the difference in level of 0.99 is significant. In other words, there is a significant relationship between the sustainable development in big cities and gender justice. Therefore, the null hypothesis is rejected and the research hypothesis is accepted.

Table 15: Pearson Assessment

variable	The Pearson statistic	Sig	Total
City sustainable development and gender justice	0.545	0.000	200

In the above table, the relationship between sustainable development and gender equality is measured according to the views of 200 samples in major cities. According to the Pearson statistic (0.545) and the resulting error (Sig: 0.000) it can be concluded that the relationship between variables is significant at a confidence level of 0.99. In other words, the null hypothesis is rejected and the research hypothesis that there is a relationship between sustainable urban development and gender equality will be accepted. The Pearson correlations between the two variables indicate that the intensity of the direct relationship between two variables is relatively strong and positive. In other words, presence of gender justice impact on sustainable urban development and vice versa with the rate of 54 %.

Table 16: ANOVA for comparing intra and between groups

Sources of variation	Sum of square	Degree of freedom	The mean square	F-statistic	Sig
Between groups	84.392	14	6.028	18.937	0.000
Intra groups	58.888	185	0.318
Total	143.280	199

According to the F-statistic values and the error observed in the above table we can conclude that the difference in level of 0.99 is significant. In other words, there is a significant relationship between sustainable development of cities and the safety of women in public spaces in the city. Therefore, the null hypothesis is rejected and the research hypothesis is accepted.

Table 17: Pearson Assessment

Variable	The Pearson statistics	Sig	Total
Sustainable development and security of women	0.734	0.000	200

In the above table, the relationship between sustainable development of cities and security of women in the public sphere, according to the views of 200 samples has been measured. According to the Pearson statistic (0.734) and the resulting error (Sig: 0.000) it can also acknowledged that the relationship between variables at a confidence level of 0.99 is significant. Therefore, the null hypothesis is rejected and the research hypothesis, relation of urban sustainable development and women security in public spaces of cities is accepted. The Pearson correlation between the two variables indicates that the intensity of the direct relationship between the two variables is strong and positive. In other words, sustainable urban development affects on promotion of women's safety in public spaces as much as 73 % and vice versa.

Table 18: ANOVA for comparing intra and between groups

Sources of variation	Sum of square	Degree of freedom	The mean square	F-statistic	Sig
Between groups	1.950	1	1.950	4.091	0.044
Intra groups	94.387	198	0.477
Total	96.337	199

According to the F-statistic values and the error above table we can conclude that the differences observed is significant at the level of 0.95. In other words, in cities with higher levels of sustainable development, women as equal as men take advantage of the urban area. Therefore, the null hypothesis is rejected and the research hypothesis is accepted.

Table 19: Pearson Assessment

Variable	The Pearson statistic	Sig	Total
Sustainable development and education of women	0.824	0.000	200

In the above table, the relationship between sustainable development and a women's high level of education in large cities, citing the views of 200 samples has been measured. According to the Pearson statistic (0.824) and the resulting error (Sig: 0.000) it is concluded that the relationship between variables at a confidence level of 0.99 is significant. In other words, the null hypothesis is rejected and the research hypothesis that there is a relationship between sustainable urban developments and to promote women's education will be accepted. The Pearson correlations between the two variables indicate that the intensity of relationship between the two variables is strong, direct and positive. In other words, the existence of sustainable urban development has contributed to 82% on women's education level and vice versa. It is a two-way relationship, in other words, the high level of women's education affects on sustainable urban development with the rate of 82%.

Table 20: descriptive statistics

Variables	Mean	SD	No.
Sustainable Development	3.45	0.820	11
Lack of Sustainability	2.23	0.439	13

In this table the mean and standard deviation of women's employment in developed cities and undeveloped estimated. It is concluded that the average employment of women in developed cities is more than undeveloped cities

Table 21: ANOVA for comparing intra and between groups

Sources of variation	Sum of square	Degree of freedom	The mean square	F statistics	Sig
Between groups	10.281	3	3.427	5.839	0.002
Intra groups	26.999	46	0.587
Total	37.280	49

According to the F-statistic values and the error observed in the above table we can conclude that the difference in level of 0.99 is significant. In other words, in cities with higher levels of sustainable development, women's employment level is generally higher. Also, because the average of employment of women in developed cities is more than undeveloped cities therefore the null hypothesis is rejected and the research hypothesis is accepted.

Conclusions

As noted, the issue of gender equality is important in urban areas and this issue has important role in sustainable development is big cities. All citizens have equal opportunities and conditions to access and the use of spaces and amenities, but it seems there is some injustice in urban areas. Urban spaces as could have the same role in instrumental in promoting social justice, it can also be considered as a factor in the deepening social inequality. Women as a half of the population in big cities desire to use city facilities equal with men. Big cities in order to reach sustainable development should prepare conditions that women could work and live in a safe, high quality and diverse space. In many countries including Iran, urban spacers have been designed in most cases by men and for men, too and little attention have been paid to women needs. In countries such as Iran that for reach to development and promotion, women should work in the society like men, women are a main source for innovation and dynamics of cities and urban spaces should be designed and planned in such a way that women could be active as citizen. Regarding the issue of gender equality and women in space designing in recent years much attention has been paid. Therefore more attention has been paid to gender justice and women in urban spaces designing but the main step for reducing women presence limitation in urban spaces, understanding and deep knowledge responsive to the needs and importance of presence of women in outdoor spaces and in second step, exact identifying of women needs in urban spaces are necessary. So, urban spaces should be responsive to women needs. Because women beside of being as a half of the population in big cities, through the social role of child, elderly and patients care, needs spaces that their specific needs and the care ethics of care is considered.

References

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