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The urban population in Indian cities is increasing at an alarming speed. Accommodating such a huge population while sustaining the environment is a challenge in urban areas. Compact urban forms with high-density planning is claimed to be a sustainable solution in such situations. Thus, this approach needs to be tested for Indian urban areas.

This paper formulates a neighbourhood sustainability assessment (NSA) framework for monitoring, assessing and managing the population density of urban neighbourhoods. The paper identifies context-specific built density indicators at the neighbourhood scale. It assesses the indicators in neighbourhoods with varying population density by physical and perceived measures. This helps in verifying the feasibility of density by physical density assessment and verifies the acceptability of density by perceived density assessment.

When tested in the Indian context, the framework shows that although high-density neighbourhoods are sustainable, certain indicators may endorse differing densities. The result displays that high-density planning is sustainable compared to low- and medium-density neighbourhoods in the selected cities.

The study demonstrates the application of formulated assessment system in three central Indian cities with useful results. Similar studies can be conducted to identify the gaps for improving sustainability and achieve a livable density pattern.

Although sustainable development goals are part of new planning policies, there exist very few assessment systems to determine the sustainability of neighbourhoods, especially for density. The methodology will assist in developing sustainability assessment frameworks and encourage the practice of sustainability assessment in developing countries like India.

The purpose of this paper is to investigate accessibility using spatial assessment techniques, wherein it identifies how educational facilities are connected to public transit (PT) in Indian cities. A new accessibility index is formulated for various ranges of distances which is suitable for Indian cities.

This study developed a new method by comparing Euclidean (near) and network distances, uses Google API and other mobile applications for mapping of PT and educational facilities. The study uses built land cover of the city retrieved from Landsat 8 data with a spatial resolution of 30 m.

The study attempts to compare the reach to educational facilities from PT in five different cities of India using descriptive statistics, regression analysis, connectivity and detour indices. The results help in identifying local barriers and network issues that influence accessibility from public transit to educational facilities.

The study is conducted entirely using spatial techniques, and the data used are collected from various government organizations. The results are useful for improving overall accessibility and developing a framework which can be included in urban development policies.