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The purpose of the present study is to explore the factors that influence the residential location choice of households in the Indian context.

Two sub-urban towns of Kolkata, i.e. Biddhanagar Municipal Corporation and Rajarhat Newtown, are taken as case studies. In total, 34 variables are considered related to the household's socioeconomic background (10), dwelling (3), travel (2) and level of importance of neighborhood characteristics (19). A revealed preference household survey is conducted, which resulted in the collection of 390 samples. Firstly, 19 level of importance variables are deduced to 3 latent factors using exploratory and confirmatory factor analysis. After that, a utility function is estimated using a multinomial logit regression to identify significant factors.

The results indicate the significance of car ownership, work travel time, work mode, monthly income, proximity to work, proximity to family/relative/friends, proximity to quality schools, quality of physical infrastructure such as water availability, power availability and housing typology among others in the residential location choice of households.

Kolkata, a major metropolitan area in eastern India, has been experiencing space constraints to cater to the housing demand of the ever-increasing population. Although satellite towns are being developed, the infrastructure landscape in such towns is uneven, resulting in more housing demand in one area than another. The study furnishes significant findings to develop more informed policies to attract households in low-demand areas and manage high-demand areas to achieve sustainable planning.

Considering the importance of geographical context, it is the first study on residential location choice, providing a perspective of household behavior from eastern India. It also shows the importance of physical infrastructure attributes in residential location choice for developing countries, which is seldom employed in the current practice. Moreover, previous studies (although few) done in India consider the objective value of location characteristics. The present study focuses on subjective value or the level of importance perceived by respondents.

The purpose of this paper is to develop a method to benchmark the service quality of any public facility based on users’ perception, by taking the case of “bus design”. While some researchers have defined level of service (LOS) for highways, transit system and pedestrian facility to measure their service quality, limited attempt has been made to measure users’ perception of service quality for other public facilities which cannot be described by quantitative service levels.

In this research, an average weighted scoring technique has been integrated with the method of successive interval scaling to develop a five graded LOS scale that benchmarks users’ perception of service quality for “bus design”. The method has been exemplified by taking five types of buses currently operating in Kolkata that represent five types of “bus design”. This method can be applied for other public facilities.

By applying the method an LOS scale from LOS A to LOS E was developed for “bus design” in Kolkata that represent users’ perception from “very good” to “very poor”. “Bus design” has been described by a list of attributes identified in this research. “Degree of criticality” of different design attributes based on users’ requirements was used to identify the key attributes for improvement which was also found to vary for different bus user groups in Kolkata.

This research is the first ever attempt to benchmark service quality of a qualitative facility like “bus design” based on users’ perception instead of expert opinion as used by previous researchers.