Search results

In successfully meeting city and metropolitan growth, sustainable development is compulsory. Sustainability is a must-focus for any project, particularly for large and mega rail infrastructure. This paper aims to investigate to what degree social, environmental and economic factors influence the government when planning sustainable rail infrastructure projects. To respond to such a matter, this paper focuses on two Australian mega-rail projects: the South West Rail Link (SWRL) and the Mernda Rail Extension (MRE).

As the basis of an experimental evaluation framework strengths, weaknesses, opportunities and threats (SWOT) and factor analysis were used. These two methods were specifically selected as comparative tools for SWRL and SWRL projects, to measure their overall sustainability effect.

Using factor analysis, in the MRE, the factors of network capacity, accessibility, employment and urban planning were seen frequently throughout the case study. However, politics and economic growth had lower frequencies throughout this case study. This difference between the high-weighted factors is likely a key element that determined the SWRL to be more sustainable than the MRE. The SWOT analysis showed the strengths the MRE had over the SWRL such as resource use and waste management, and natural habitat preservation. These two analyses have shown that overall, calculating the sustainability levels of a project can be subjective, based on the conditions surrounding various analysis techniques.

This paper first introduces SWRL and MRE projects followed by a discussion about their overall sustainable development. Both projects go beyond the traditional megaprojects' goal of improving economic growth by developing and enhancing infrastructure. Globally, for such projects, sustainability measures are now considered alongside the goal of economic growth. Second, SWOT and factor analysis are undertaken to further evaluate the complexity of such projects. This includes their overall sustainable development vision alignment with environmental, economic and social factors.

New services design and development are difficult to plan, execute, measure and evaluate. Particularly, new services that are capital-intensive and involve a long gestation and development time are considered extremely risky. The purpose of this paper is to discuss a list of innovative practices in various managerial aspects in designing, planning and development of a large scale infrastructure intensive public transportation service. A contemporary new public transportation service development is discussed as evidence of proven and benchmarked criteria.

This is a technical paper, where theoretical foundations of best practices in new service development project are discussed and supported by practice-based evidences from a real-life urban transportation project. A case study approach is adopted with secondary data.

Worldwide during and after economic recession of 2008, several projects were stalled or abandoned. The inference through this work is that through efficient management practices, a large capital-intensive new service development project can be made successful even during a turbulent economy in a region marred by more challenges than elsewhere.

Several issues in large scale services development, such as urban transportation are domain specific. Some of the issues faced in urban transportation are common to several Gulf countries; therefore the policy guidelines, managerial practices and development strategies reported in this paper can be replicated in many of them. The commercial impact of the service project is a significant drive towards fuel conservation and to save huge amounts of productive time.

Public transportation with a high quality of networked service improves the quality of life to a large extent. Unless certain measurable demands are not met, an affluent society is less likely to endorse public transportation. In addition, endorsement of public transportation is been promoted in several parts of the world as a drive towards a green, energy efficient, low-carbon emission and sustainable environment.

To the best of the authors’ knowledge, new services planning and development is a key operations management topic, on which very little is written about. Particularly no other paper has presented a real-world large scale infrastructure intensive project development to this detail, and along with a theoretical background to benchmark performance and development practices.

The purpose of this paper is to understand the factors that affect the performance of projects being implemented on the public-private partnership (PPP) framework, with specific reference to urban drinking water sector in India.

A listing of factors that have a bearing on project performance have been developed based on a review of the literature. Through a survey, seven factors that are relevant to the Indian context were determined. Interviews were then conducted across a cross-section of government agencies, financial institutions, development agencies, private sector entities and consultants to understand the relative importance of these attributes. The analytical hierarchy process was used to develop relative weights of these factors.

Ranking and relative weights of the factors in descending order are stakeholder consent and support for water PPP projects (22.1 percent), appropriate project structure (17.4 percent), availability of realistic baseline information (16.2 percent), reasonable water tariffs (13.9 percent), public sector capacity (13.0 percent), well-developed market (9.5 percent) and water sector regulator (7.9 percent). Differences in perceptions amongst various stakeholder groups were also found.

Water sector has not matured, and with the advent of newer formats of implementation models, there could be significant changes in the sector. As the number of projects available for study is limited, this exercise can be undertaken periodically and updated in relation to experiences in other infrastructure sectors.

This analysis provides inputs to policymakers and project proponents for structuring more sustainable urban drinking water PPP projects.

Indian infrastructure PPP market is attracting increased attention from researchers, though not much emphasis is being given to urban drinking water sector. This paper aims to contribute toward filling this research gap.

India launched Smart City Mission in 2015 with an objective of development of 100 smart cities with a completion deadline in 2019 that was extended till June 2023. Smart City Mission is an important mission in the backdrop that urban population in India is projected to be 67.55 crore in 2035 from 48.30 crore in 2020. Further, by 2035, the percentage of population in India at mid-year residing in ‘urban area’ will be 43.2% as per the United Nations – Habitat's World Cities Report 2022 and it will be just next to China's urban population in 2035 that is projected at 1.05 billion. A recent World Bank report (2022) estimated that India will need to invest US (United States) $840 billion over the next 15 years, i.e. US $55 billion per annum – into urban infrastructure if it has to effectively meet the needs of its fast-growing urban population.

This chapter focuses on financing of sustainable smart cities in India. This chapter summarises financing options explored by the government in the beginning, challenges faced in financing of Smart City Mission in India over a period due to various developments such as pandemic, delay in execution of projects under the Smart City Mission, among others. Finally, suggestions have been given for making financing means effective and sustainable. These suggestions are based on the gaps between the ‘financing means thought of’ in the beginning and ‘financing means actually applied’ while executing Smart City Mission in India. Financing part is worth exploring in the background that India had the fiscal deficit at 3.9% of Gross Domestic Product (GDP) in 2015–2016 and most recently, the country had the fiscal deficit at 6.71% of GDP in FY22. And the country also dealt with the pandemic like other economies and provided COVID-19 vaccine free of cost to all citizens. Insights are useful for any other economy with a similar sustainable and smart city mission while facing resource constraints.

The current booming development of smart cities poses new requirements and challenges for their internal infrastructure development. This article aims to explore the questions of: What is the level of social sustainability of smart city infrastructure today? and What are the core contents and paths to improve this level?

With the theme of public participation in the social sustainability evaluation of smart city infrastructure in the context of big data, this study mainly makes a systematic literature review of the Web of Science's Science Citation Index Expanded and Social Sciences Citation Index databases. After collection and screening, 199 documents were finally obtained.

It is found that the level of social sustainability of smart city infrastructure is still low, and public participation can provide solutions to the difficulties and challenges involved in its development, while big data technology can broaden the channels for public participation and promote the development of smart city-related components in the process, including smart city infrastructure.

This article summarizes the internal mechanisms of smart cities at the theoretical level and analyzes the social sustainable development of smart city infrastructure. In practice, the shortcomings in this field are identified and suggestions are provided on how to carry out digital public participation, which has practical reference value.

The purpose of this paper is to analyze involvement of external agencies for supplementing competencies in Indian urban public private partnership (PPP) projects. There are two key aspects which need investigation before making a decision to involve external agencies in urban PPP projects: reasons for involvement of external agencies and competencies to be supplemented by these agencies.

A questionnaire survey was conducted among urban PPP experts and ULB representatives for investigating the above aspects. A case study analysis with five urban PPP projects was also performed for investigating involvement of external agencies in the practical realm.

The reasons for involvement of external agencies to supplement competencies rated high in importance are improvement in quality of deliverables, making available unique competencies for implementing urban PPP projects and transparency in implementation of urban PPP projects. The five most important competencies to be supplemented by external agencies are transaction design, evaluation, project marketing, project development process management and PPP process management.

The study contributes towards the growing body of knowledge on roles and responsibilities of external agencies in urban PPP projects. The results would also help the policy makers to effectively address competency bottlenecks faced by urban PPP projects.

Various factors may influence project finance when a multi-sourced debt financing strategy is used for financing capital investments, in general, and public infrastructure investments, in particular. Traditional indicators lack comprehensive consideration of the influences of many internal and external factors, such as investment structure, financing mode and credit guarantee structure, which exist in the financing decision making of BOT projects. An effective approach is, thus, desired. The paper aims to discuss these issues.

This paper develops a financial model that uses an interval number to represent the uncertain factors and, subsequently, conducts a standardization of the interval number. Decision makers determine the weight of each objective through the analytic hierarchy process. Through the optimization procedure, project investors and sponsors are provided with a strategy regarding the optimal amount of debt to be raised and the insight on the risk level based on the net present value, as well as the probability of bankruptcy for each different period of debt service.

By using an example infrastructure project in China and based on the comprehensive evaluation, comparison and ranking of the capital structures of urban public infrastructure projects using the interval number method, the final ranking can help investors to choose the optimal capital structure for investment. The calculation using the interval number method shows that X2 is the optimal capital structure plan for the BOT project of the first stage of Tianjin Binhai Rail Transit Z4 line. Therefore, investors should give priority to selecting a capital contribution ratio of 45 per cent for this investment.

In this paper, some parameters, such as depreciation life, construction period and concession period, are assumed to be deterministic parameters, although the interval number model has been introduced to analyze the uncertainty indicators, such as total investment and passenger flow, of BOT rail transport projects. Therefore, more of the above deterministic parameters can be taken as uncertainty parameters in future research so that calculation results fit actual projects more closely.

This model can be used to make the optimal investment decision for a project by determining the impact of uncertainty factors on the profitability of the project in its lifecycle during the project financial feasibility analysis. Project sponsors can determine the optimal capital structure of a project through an analysis of the irregular fluctuation of the unpredictable factors in project construction such as construction investment, operating cost and passenger flow. The model can also be used to examine the effects of different capital investment ratios on indicators so that appropriate measures can be taken to reduce risks and maximize profit.

The relocation of existing underground utilities in urban environments is complex because of the existence of multiple utility agencies being responsible for numerous utilities and over constrained space and time to execute maintenance works. Unfamiliar location and insufficient records of maintenance data hamper the flow of work, causing unnecessary delays and conflicts. The aim of the paper is to explore 4 dimensional Building Information Modeling as a smart solution for the management of multiple utility data for a relocation project in an urban setting.

An empirical case-based research methodology is used to collect data and develop the BIM models. Two ongoing construction projects in an urban city are empirically studied, and 4D BIM models of identified utilities are developed to assist management and relocation of existing utilities.

The developed BIM models enabled the location of existing sub-surface utilities through 3D visualization and also enabled clash detection. The 4D simulation of BIM model enabled the tracking of actual progress of relocation works and thereby helped in taking necessary actions to minimize forthcoming delays. The evaluation of the developed model showed that the application of 4D BIM improved communication and coordination during utility relocation works.

4D BIM for utility infrastructure provides better management of utility information. They provide utility stakeholders an efficient way to coordinate, manage utility relocation processes through improved visualization and communication with a reduction in delays and conflicts.

Limited efforts were made using 3D BIM for sub-surface utility infrastructure in visualization and management of utility information. Efforts using 4D BIM in coordination and management of utility projects are left unexplored. This study adds value to the current literature through the application of 4D BIM for utility relocation projects.

Adequate, reliable, and efficient urban infrastructure systems (UIS) are fundamental to sustainable development, social mobility, and economic vitality. As communities continuously rely on basic infrastructure services to support their daily communal functions, major components of UIS are subject to heavy use, and thus rapidly deteriorate over time; hence, it is critical that efficient infrastructure management strategies practices are in place. As current strategies remain confronted with various limitations including adaptability to changing conditions, lack of public engagement, and cost-effectiveness, this study explores social media data mining as an approach to revitalise and support current urban infrastructure monitoring strategies by extracting valuable insights from public opinion. Twitter messages or ‘Tweets’ pertaining to public infrastructure in The Philippines were collected and analysed to identify recurring issues in public infrastructure, emerging topics in public discussions, and the overall perception of the public on infrastructure services. This study presents a topic model that extracts dominant topics from aggregated social media data and a sentiment analysis model that determines public opinion sentiment in relation to different urban infrastructure components. The findings of this study highlight the potential of social media data mining to surpass the limits of conventional data collection techniques and the importance of public opinion as a key driver for a more user-involved decision-making in infrastructure management and as an important social aspect that can be utilised to support planning and response strategies in routine maintenance, preservation, and improvement of UIS.

Chapter 17 discusses challenges for financing nature-based solutions (NBS). Financing NBS is a key challenge to ensure scaling of the use of NBS in urban areas. This is mainly due to the difficulty to monetize the value generated through the provisioning of ecosystem services, as well as the multiple cobenefits that NBS provide. Certain types of NBS, such as green roofs, have been able to allow for private value capture, enabling such projects to attract private or blended capital. Others, where benefits are generally regarded as public good, have to rely on different financing strategies and instruments. The section provides an overview of financing solutions (public, private, and blended instruments) for different types of NBS and their applicability to NBS in the urban context.