Resilient City : A Solution to Problem of Climate Change

Urbanization is on a rise like never before. Indian cities are increasingly witnessing the impact of climate change .it is apparent that extreme events such as droughts and cyclones will become more frequent thereby causing massive destruction and
disruption to services and leading to economic losses. This will have an adverse impact on the marginalized sections of the society living in the urban areas is there an alternative path for cities.

Now, focus of planners is now on Urban Resilience. A Resilient City is the solution to overcome such disasters a resilient city is one that has developed capacities to absorb future shocks and stresses such cities have advanced drainage systems that help in alleviating floods warning systems and transportation infrastructure that allows citizens to evacuate renewable energy systems that provide backup power during outages building design solutions that reduce the damage caused by extreme climate events the healthcare services in these cities are equipped to respond to public health emergencies there is availability of clean drinking water in the aftermath of floods .

A resilient City has an efficient sewerage system that averts the outbreak of waterborne diseases and effective disposal and treatment techniques that prevent choking of drains it is also where the communities have better coping capacities .

Benefits of Building Resilient Cities

·      Reduced Recovery Time

·      Lesser Monetary Losses

·      Reduced Risk and Vulnerability

·      Improved and Reliable Infrastructure

There are several initiatives that are supporting resilience building activities several Indian cities have also initiated resilience planning through these programs but how do we ensure continuous action.

Crux of the matter is: We will have to make our cities Resilient and Sustainable and Adaptive.

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Brings You Meaning

Orlando's avatarOrlando Espinosa

Finding meaning in life is one of those things everybody insists is vitally important, but few people actually seek to find it. Life doesn’t come with a set of instructions, but you can find joy, happiness and fulfillment by surrounding yourself with people who bring meaning into your life. Surround yourself with people who make you happy and provide clarity by adding meaning to your daily existence.

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Advantage of Cross Tabulation with Chi Square

 Chi square or Pearson’s chi- square test, is any statistical hypothesis, which is used to determine whether there is a significant difference between expected frequencies and the observed frequencies in one or more category.

An important consideration when cross tabulating the findings of your study is verifying if what is represented in the cross-tab is true or false. This is similar to the doubt some of us would be in after joining a university questioning if this was indeed a good fit or not. To resolve this dilemma crosstab is computed along with the Chi-Square analysis which helps identify if the factors involved in the study are independent or related to each other. If the two factors are independent then the tabulation is termed insignificant and the study would be termed as null hypothesis which means that since the factors are not related to each other the outcome of the study is unreliable on the contrary if there exist a relation between the two factors that would confirm that the tabulation results are significant and can be relied on to take strategic decisions.

Another significant term that we will introduce here is “Null hypothesis”. The null hypothesis, basically assumes, any kind of difference or importance one can see in a set of data is by chance. The opposite of the null hypothesis is called the “alternative hypothesis”.

Applying chi square to surveys is usually done with these question types:

  1. Demographics
  2. Likert scale questions
  3. Cities
  4. Product name
  5. Dates and number (when clubbed together)

For example, we need to find out if there is any association between the buyer behavior of purchasing electronic devices and the region where it is sold then the data will be entered like the one in the table below:

cross-tabulation-table

As mentioned earlier the Chi square test helps you determine if two discrete variables are associated. If there’s an association, the distribution of one variable will differ depending on the value of the second variable. But if the two variables are independent, the distribution of the first variable will be similar for all values of the second variable.

Using cross tabulation and chi square we derive the following inference:

cross-tabulation-table-example

Applying the Chi square calculation to the above values:

Pearson’s chi square= 0.803, P- Value= 0.05

So what does this mean?

We need to pay attention to the p- value. Compare the p-value to your alpha-level which is commonly 0.05

  1. If p-value is less than or equal to alpha-value then the two variables are associated.
  2. If p-value is greater than alpha value, you conclude the variables are independent.

In this example Pearson chi-square statistics is 0.803 (with a p-value 0.05). So with an alpha-value of 0.05, we therefore, conclude that there is no correlation and is insignificant.

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Growth of Satellite Towns in India

India’s Urban realm is expanding. Expansion of cities gives rise to residential satellites depending on the main city.

Three Main Characteristics of Satellite Towns:

(a) Workers of satellite-town have to come to work in the central town because it is the central town which guarantees a certain number of services,

(b) The satellite town reciprocally provides facilities for holidaying and relaxation, and

(c) There is found easy and frequent transport and communication between the two.

Around Delhi, there are urban centres performing the services of satellites, e.g., Ghaziabad, Bahadurgarh, Gurgaon, Sonepat, and Faridabad. Similarly, Kolkata encompasses number of urban centres of the surrounding area.

They are closely linked and have become centres for service activity. Some of these satellites may be counted as Kalyani, Barrackpur, Jadavpur, Bansdrori. Purba Putiary, Gobindapur and Sutanuti also form the status of satellites. Tollygunge and several peripheral towns are closely linked with the city. Kanchanpura, Nabapally, Halisahar, Ishapure are towns other than satellites of the conur­bation.

Satellites differ from suburbs in that they are separated from the central city by many miles. They have little daily commuting but their economic activities are closely geared to those of the central city. Suburbs are primarily joined with the central city for commuting to or from the city. The idea of centrality comes into play in a big way.

Growths of automobiles and commuter rail lines in metropolises have stimulated suburbanization. Kolkata encompasses a number of urban centres which are satellites on the Hooghly side. They are distinctly attached economically with the Kolkata conur­bation.

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