Impact assessment of Corridor Oriented development

Abstract

Rapid urbanisation has been a factor affecting cities negatively and irreversibly in developing countries like India, adversely leading to depleting natural resources and promoting unbalanced and uneven urbanism. To handle the influx of population into core urban regions and to promote holistic, sustainable development, government and planning agencies are now looking upon regional development. Developing countries like India has laid plans for future urban corridor-oriented development. This study aims to understand the urban growth of two major developing cities influenced by transport corridor through a methodological approach using multi-temporal satellite data and its position in India's network of cities. Land use analysis was validated with the aid of measures such as overall accuracy and kappa statistics, with good values of more than 85% and 0.75 respectively were achieved. The hierarchical network analysis indicated five different clusters based on the urban growth rate. Among these clusters, Bangalore, Ahmedabad and Pune cluster was further shortlisted for analysis based on the urban transport corridor affecting the growth of these cities. Cellular automata-based SLEUTH model was adopted in this work to carefully observe sub-division level details of the region under the influence of the corridor. Exhaustive calibration, with three phases of coarse, fine and final, validation procedure along with statistical fit measures reveal urban expansion for Ahmedabad region has witnessed an increase from 497.50 km 2 (2017) to 826.24 km 2 (2025) while Pune region has experienced tremendous urban area transformation of 901.11 km 2 in the year 2025 against 497.27 km 2 in 2017. Results of this analysis would help policymakers and planners to inculcate decisions concerning future urban trends accommodating safer, healthier, sustainable and liveable urban ecosystem.

Flood resilient scenario modelling (FReSMo): Dynamic assessment of climate‐induced effects on land use

“…The studies have used temporal land use modelling (Xu et al, 2021;Chandrashekar and Aithal, 2021) as an essential indicator for analyzing present and future flood risk scenarios. However, the concern for realistic outcomes is hardly prioritized (Aithal et al, 2018;Al Rifat & Liu, 2022).…”

Spatial-temporal Characteristics of Urban Expansion in Shenyang from 2001 to 2014

“…Rapid urbanisation has been a factor affectingcities negatively and irreversibly in developing countries (Chandrashekar and Aithal, 2021).With the acceleration of the urbanization process, the scale of the city has expanded rapidly, and a large amount of urban land has been used for real estate development (Moon, 2021). Vast populations have spread into cities and contributed to urban sprawl in China (Xu and Akita, 2021).…”

Effects of Rising Urban Temperatures on the Wellbeing of the Residents:

“…LULC changes occur in the form of converting vegetated spaces, agricultural lands, and open spaces into urban pockets (Chandrashekar and Aithal, 2021;Kandlikar and Sagar, 1999;Mallick, Kant et al, 2008;Ramachandra, Aithal et al, 2016), which affects the rate of evaporation, surface albedo, storage of heat, moisture content of the soil, wind turbulence and solar radiation (Pal and Ziaul, 2017).All of these have a profound effect on the city's environmental factors and living conditions, such as thermal comfort, air temperature, and land surface temperature. Land surface temperature (LST) can be referred to as the radiative skin temperature of the earth's surface (Ministry of Statistics and Programme Implementation, 2015).…”