Challenges and Opportunities in Urban Public Transportation, Chapter 7, 2017, Pages 95–107

Green innovations will be significant in reducing climate change impacts and contributing to goals 9 (industry, innovation and infrastructure), 11 (sustainable cities and communities) and 13 (climate action). This chapter considers a number of sustainable and innovative transport and infrastructure options to support these goals.
HPCC training
HPCC Systems offers free introductory online training classes for anyone wanting to learn the basics of the ECL programming language and the open source HPCC Systems platform. Included in the training are self-paced lessons, lab exercises and a moderated Q&A forum to increase proficiency for solving Big Data problems. HPCC Systems training advances SDG 4 Quality education and SDG 9.B to support domestic technology development, research and innovation in developing countries.
HPCC Systems Overview
Born from the deep data analysis experience of LexisNexis Risk Solutions, HPCC Systems is a proven, open source solution for Big Data insights that can be implemented by businesses of all sizes.  With HPCC Systems, developers can design applications with Big Data at their core, enabling businesses to better analyze and understand data at scale. HPCC Systems offers a consistent data-centric programming language, two processing platforms and a single, complete end-to-end architecture for efficient processing. Access to open source Big Data technology is vital for SDG 4 Quality education and SDG 9 Industry, innovation and infrastructure.
The HPCC Systems Team collaborates with multiple higher learning institutions globally to help train and develop the future managers of Big Data projects. Participating institutions receive free training classes and materials to learn the platform and help incorporate it into their curriculum. Students benefit from learning and working with a platform that was designed from the ground up by industry leader, LexisNexis. This programme advances SDG 4 Quality education and SDG 9.B to support domestic technology development, research and innovation in developing countries.
Network organization Amsterdam Data Science (ADS) and Elsevier are collaborating together on several fronts, including research and development, joint promotion of Amsterdam as a data science center, and data science talent development. This partnership marks the first long-term collaboration agreement signed by ADS and is interetsed in advancing SDG 9 targets 5, B and C. A number of projects have already started. These are focused on improving data search and reproducibility of research that will ultimately result in higher quality research outcomes.
Polluted air was responsible in 2015 for 6·4 million deaths worldwide. Can walking or cycling in polluted cities negate the health benefits of exercise by increasing exposure to airborne pollutants? This systematic review in The Lancet Public Health by Magda Cepeda and colleagues provides a clear answer to this question: it compares exposure to carbon monoxide, black carbon, nitrogen dioxide, and fine and coarse particles between commuters using active and motorised transport. The study provides important insights to support target SDG 3.9 to substantially reduce the number of deaths and illnesses from hazardous chemicals and air.
An autonomous harvester starts to cut robot-grown barley
The groundbreaking Hands Free Hectare project has just seen its first harvest. This £200,000 Innovation UK-funded project by Harper Adams University with Precision Decisions has modified existing machinery to drill, sow, spray and harvest the crop without any human control. The project aims to show how automation can facilitate a sustainable farming system where multiple smaller, lighter machines will enter the field, minimising the level of compaction (SDG 15, life on land and SDG 9, industry, innovation and infrastructure).
The energy performance of buildings draw on a large body of operational data. Applying analytical tools, such as data mining technologies, enables high volumes of data to be examined and applied to be able to make improvements in energy performance. This paper highlights recent advances in the two main data mining tasks in the building field and clearly shows interconnectedness between SDG 11 Sustainable cities and communities and SDG 9 Industry, innovation and infrastructure.
Access to clean and stable energy is a major challenge for many developing African countries. This research aims to investigate ways in which financing renewable energy projects (REPs) can help to address this problem and therefore SDG7. The authors propose the promotion of the two-hand renewable energy service company (ESCO) model as an efficient financial vehicle for increasing sustainable economic development through the production of reliable and stable electricity in semi-urban and rural communities.
Constructing and maintaining transportation infrastructure is very resource intensive and can have negative impacts on the environment. Reviewing geotechnical engineering in transport infrastructure highlights the transformation in the past twenty years to using more sophisticated technologies integrating sustainability principles. SDG target 11.2 aims to provide sustainable transport systems, which this article focuses on, in particular activities relevant to sustainable earthwork construction aimed at minimising the use of energy and production of CO2.