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This article synthesizes the evidence on the effectiveness of top‐down and bottom‐up approaches in providing basic services in slums in developing countries. The findings indicate that: (1) government‐led top‐down approaches focus predominantly on connectivity, but approaches led by community‐based organizations (CBOs) and non‐government organizations (NGOs) improve many additional dimensions of access; (2) legal recognition of slums improves access to services in both approaches; and (3) NGO and CBO involvement results in the right balance between the technical, social and financial resources required for effective service delivery.

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In turbo machinery, the analysis of systems subjected to stochastic or periodic excitation becomes highly complex in the presence of nonlinearities. Nonlinear rotor systems exhibit a variety of dynamic behaviours that include periodic, quasi periodic, chaotic motion, limit cycle, jump phenomena etc. The transitional probability density function (pdf) for the random response of nonlinear systems under white or coloured noise excitation (delta-correlated) is governed by both the forward Fokker-Planck (FP) and backward Kolmogorov equations. This paper presents efficient numerical solution of the stationary and transient form of the forward FP equation corresponding to two state nonlinear systems by standard sequential finite element (FE) method using C0 shape functions and Crank-Nicholson time integration scheme. For computing the reliability of system, the transient FP equation is solved on the safe domain defined by D barriers using the FE method. New approach for numerical implementation of path integral (PI) method based on non-Gaussian transition pdf and Gauss-Legendre scheme is developed. In this study, PI solution procedure is employed to solve the FP equation numerically to examine some features of chaotic and stochastic response of nonlinear rotor systems.

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Summary Motivation Initially, governments started with the overarching objective of providing universal access to WASH (water, sanitation, and hygiene) services. During the Millennium Development Goals (MDGs) period 2000–2015, there was increased motivation to understand requirements of different sectors of the population in order to ensure universal, equitable access. Purpose This article reports findings of a systematic review looking at three questions: what segments of the population have been addressed in WASH policies, and programme and projects? How do the population segments vary between sectors and regions? What barriers, strategies, and benefits for providing WASH services have been identified for different population segments? Methods and approach Populations can be segmented using two broad paradigms: Physiological Characterization Framework (PCF), which classifies the population on the basis of the life cycle; and Sociological Characterization Framework (SCF), classifying the population on the basis of caste, ethnicity, income, location, and occupation. Policy documents and programme and project (P&P) documents pertaining to the WASH sector were synthesized. Findings At a policy level, SCF is used more widely than PCF. In the context of PCF, women were the focus of a relatively large number of policies. Adequacy, environmental, and attitudinal barriers were those most commonly identified across both PCF and SCF segments in WASH policies and P&Ps. In PCF, beneficiary participation and information, education, and communication (IEC) strategies were the more commonly adopted strategies, whereas project management, financing, and provision of services were more frequently adopted for SCF. Availability was the most common benefit identified across PCF and SCF in terms of policy and also P&P. Policy implications WASH policies can create an enabling framework by specifically mentioning the different PCF segments in order to facilitate adoption and percolation of the life‐course approach in P&Ps. Incorporating this approach within the current SCF paradigm can help achieve inclusiveness. Greater effort is required to understand barriers faced by PCF segments and to devise strategies to overcome them. Policy‐makers should expand the spectrum of benefits to all categories within PCF in WASH policies.