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This study aims to assess housing affordability and estimate demand using a hedonic regression model in the context of Lucknow city, India. This study assesses housing affordability by considering various housing and household-related variables. This study focuses on the impoverished urban population, as they experience the most severe housing scarcity. This study’s primary objective is to understand the demand dynamics within the market comprehensively. An understanding of housing demand can be achieved through an examination of its characteristics and components. Individuals consider the implicit values associated with various components when deciding to purchase or rent a home. The components and characteristics have been obtained from variables relating to housing and households.

A socioeconomic survey was conducted for 450 households from slums in Lucknow city. Two-stage regression models were developed for this research paper. A hedonic price index was prepared for the first model to understand the relationship between housing expenditure and various housing characteristics. The housing characteristics considered for the hedonic model are dwelling unit size, typology, condition, amenities and infrastructure. In the second stage, a regression model is created between household characteristics. The household characteristics considered for the demand estimation model are household size, age, education, social category, income, nonhousing expenditure, migration and overcrowding.

Based on the findings of regression model results, it is evident that the hedonic model is an effective tool for the estimation of housing affordability and housing demand for urban poor. Various housing and household-related variables affect housing expenditure positively or negatively. The two-stage hedonic regression model can define willingness to pay for a particular set of housing with various attributes of a particular household. The results show the significance of dwelling unit size, quality and amenities (R² > 0.9, p < 0.05) for rent/imputed rent. The demand function shows that income has a direct effect, whereas other variables have mixed effects.

This study is case-specific and uses a data set generated from a primary survey. Although household surveys for a large sample size are resource-intensive exercises, they provide an opportunity to exploit microdata for a better understanding of the complex housing situation in slums.

All the stakeholders can use the findings to create an effective housing policy. The variables that are statistically significant and have a positive relationship with housing costs should be deliberated upon to provide the basic standard of living for the urban poor. The formulation of policies should duly include the housing preferences of the economically disadvantaged population residing in slum areas.

This paper uses primary survey data (collected by the authors) to assess housing affordability for the urban poor of Lucknow city. It makes the results of the study credible and useful for further applications.

India is set to develop a hundred smart cities under Smart Cities Mission (SCM). New Special Purpose Vehicles (SPV) established at the city level are developing these cities. Cities around the globe do not use this system for city development yet. SCM was launched in 2015, and these companies are working in some of these cities since 2016. This paper is an attempt to investigate the traditional system and SPV system with global best practices.

The method for investigation includes developing a framework with the governance principles (defined by the United Nations Development Programme) and measurement parameters. By this framework, the performance of these governance systems can be measured/ranked; analysing these results give the nodal points where one system is better than the other and highlighting features; those can be incorporated to develop an alternative comprehensive system.

The new service delivery mechanism (SPV) is still adapting and competing with the traditional system. There have been some positives as well as some criticism for SPVs in comparison to the traditional system.

The data for analysis is mostly from secondary sources and structured official interviews. The cases selected for the analysis are cities from different states of India and some leading global cities.

Smart cities development is still going on. As the analysis findings suggest, it needs a more efficient and converged implementation mechanism.

The analysis framework is solely developed for this paper. The paper compares five of the Indian traditional city development process, SCM implementation strategy and leading city development processes around the world.

The objective of this study is to understand the institutional dynamics of the public transport system in Jaipur. The institutional dynamics of the public transport system includes an understanding of the role of the formal and informal institutions (i.e. the actors) and the relationship between the public bus, external and private city bus operators.

The research methodology to achieve the objectives of the study included an institutional mapping method to develop an in-depth understanding of the existing institutional framework for the public transport, secondary data and primary survey processed through focused interviews of Jaipur City Transport Services Limited (JCTSL) and the Regional Transport Office (RTO) officials, representatives of the external operator, drivers and conductors’ union and private city bus service operators. The cooperation level between these organizations was measured on a five-point Likert scale.

The study indicated significant issues: poor cooperation levels between JCTSL and the RTO; the absence of a horizontal relationship between JCTSL and the RTO; conflict of powers, the competition of public and private minibus service; delays in smart city projects; absence of an integrated transport authority.

In the Indian context, this study can help other Indian cities which are facing similar problems due to the fragmented institutional framework for public transport services and financial losses to the public bus operators due to the direct competition from paratransit or private bus services.

Natural disasters not only cause dilapidated buildings and damaged infrastructure but also delay crucial aid for those affected in the event of a disaster and post-disaster recovery. An institutionally well-managed post-disaster housing strategy provides opportunities for physical and mental healing of its occupant. The time requires occupiers to remain in the temporary housing varies with circumstances. This paper aims to review post-disaster housing scenarios in India in comparison to two Asian cases from Indonesia and Japan. The study focuses on understanding Indian post-disaster housing strategies through a comparative review.

The research selects coastal cities of Tamil Nadu state, where the post-disaster temporary shelter and rehabilitation was planned and implemented after the Tsunami in 2004. The Tsunami created havoc in Nagapattinam and Kanyakumari district of Tamil Nadu. Nagapattinam district reported 6,051 fatalities and many more homeless people. After the Tsunami, the government took measures to supply safe, secured and on-site shelter provisions. Surprisingly, many such shelters were never occupied. In many instances, people actually preferred to spend years in a temporary shelter rather occupying government housing. This paper evaluates such events and investigates India’s post-disaster shelter strategy against the derived best practices. This study is based on the sequential/logical reasoning and understanding of the facts. Discussions and findings from this study can be further generalised into a comprehensive policy discussion.

The paper finds that the manner of planning and design of post-disaster housing programmes influence medium- to long-term recovery of its occupant. A certain element of trade-off between implementation and quality of habitation results into compromises to achieving the desired outcome. When faced with socio-political, economic and financial constraints, the decision-makers are required to make trade-offs in deciding the manner and quantum of allocating resources. Coordination among these agencies is troublesome. It is true for all countries and there is no distinct answer to it. Public consultation and community participation in long-term rehabilitation are crucial to meet the aspiration of the local people.

The paper contributes in discussing a comparison of post-disaster housing rehabilitation between India and the two cases from Indonesia and Japan. As a review paper, the objective is to highlight the synthesis and overall understanding of post-disaster housing strategies from two cases and compare it with India.

The purpose of this paper is to compare and learn from Chandigarh in addressing an orderly urbanisation in India. Chandigarh is considered as a benchmark for city design in India. The aim is recapitulate the city design process and garner useful inputs towards city design process in India.

Considering the purpose of the study, two research methodologies are identified – namely “case study” and “analytical narrative”. A case study method is usually focused on certain urban systems with a view to explain why certain systems were a success and why some ended up being a failure. It mostly concerns itself with questions of efficiency. A narrative analysis seeks to understand urban development process and change. It appeared in disciplines such as policy analysis, urban history, social science, political science and economics. Analytical narrative evaluates the explanatory performance of new genre, using some philosophy.

This paper contributes in reinvigorating the aura of Chandigarh and its contribution in developing an Indian city with its own identity. It also reflects upon the series of failure among the recent city planning endeavours, and its avenue of differences from the successful case.

The paper contributes in understanding the existing shortcomings of city design approaches in India from the perspective of a relatively successful case of a functional Indian city. It also helps to point out the forgotten dimensions of city design that contributes in creating a functional city.

Existing literature offers conflicting evidence on how prior product knowledge influences amount of information search. A majority of these studies are based on variants of cost benefit frameworks where consumers engage in search until the benefits from information search exceed search costs. The purpose of this paper is to develop an expectancy theory‐based framework to model consumers' information search and its antecedents, including motivation to search as an intervening construct.

The framework is tested using data from real consumers engaged in their actual purchase decisions, in an emerging market context, using longitudinal survey research design. The data are analysed using structural equation modeling to test the hypothesized model. The model shows an acceptable fit with X2 (271, 487)=640.252, p < 0.00 and 0.95 CFI.

Results indicate that the relationship between prior product knowledge to information search is mediated by motivation to search. Prior product knowledge influences motivation to search through its influence on the consumer's perceived ability to search and his/her perceived value of additional information. Furthermore, perceived ability to search is the strongest predictor of motivation to search. The parsimony of the proposed framework in providing a simpler account of factors influencing the search process along with its managerial implications is discussed.

The findings suggest that perceived ability to search and perceived value of additional information are two important levers that managers could use for achieving desired results. Furthermore, perceived ability to search is an important mediator, which completely mediates the relationship between prior product knowledge and motivation to search. These findings also provide strong indications about the need to simplify the search process for consumers, especially in the context when novelty is predominantly marketed.

The paper introduces a motivational measure of search in the literature and shows that the motivational measure is indeed the proximal measure to other antecedent constructs compared to a behavioral measure of search. Perceived ability to search and perceived value of additional information are shown as important mediators between prior product knowledge and motivation to search.

The purpose of this paper is to introduce a model of decision-making problem in multi-criteria optimization domain for project selection. The model is built by combining the soft set theory and analytic hierarchical model under fuzziness. Soft set model gives us the opportunity to use parameterization properties. Here, the authors have proved that multiple alternatives can be reduced to make the selection process computationally efficient. Here, the authors illustrate the hybrid method by means of an application of the new mathematical model of soft set theory.

This paper is designed to excel a decision support system with multiple criteria analysis tool, analytic hierarchy process combined with soft set theory under fuzziness.

In this paper, the authors have taken four projects P1, P2, P3 and P4. As per chosen parameters of softest theory the result of the illustrative example reveals that P2 is the best project. The ranking the authors get is in the order of P2, P3, P4 and P1. The algorithm leads the authors to maximize the proper choice in the environment of imprecise information. The main advantage of this method compare to others is that this hybrid method is very simple in terms of calculation and the computational complexity of the proposed algorithm is low.

This proposed decision support strategy for an intended project manager helped to take decision in the perspective environment.