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Network and mobility management
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  • Factsheet: Smart sustainable neigbourhoods - Facilitating Technology Innovation in Urban Environments
  • Factsheet: Digitally enabled citizen participation in cities​
  • Factsheet: Big Data for Mobility Planning
  • Factsheet: Implications of Autonomous vehicles on Urban Planning
  • Factsheet: Cooperative Intelligent Transport System - Case Study: C-ITS in Austrian cities
  • Factsheet: Parking Management - ​Case Study: Barcelona´s Parking Restriction Scheme (Spain)
  • Factsheet: Access Restrictions - Case Study:  Stockholm’s congestion charge (Sweden)
  • Factsheet: Traffic management - Case Study: Grand Lyon´s Traffic Management Tool (France)
  • Factsheet: Car-Sharing - Case Study: Bremen´s Car-Sharing Scheme (Germany)
  • Factsheet: Multimodal journey planners - Case Study: Vienna´s Multimodal Journey Planner (Austria)
  • Factsheet: Registration management and number plate auctions - Case Study: Restricting car ownership in Beijing and Shanghai (China)
  • Factsheet: Fuel economy standards - Case Study: Chile´s policy on fuel efficiency
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Factsheet: Smart sustainable neigbourhoods - Facilitating Technology Innovation in Urban Environments

For the past 50 years, the landscape of Innovation has been dominated by places like Silicon Valley—suburban corridors of spatially isolated corporate campuses, accessible only by car, with little emphasis on the quality of life or on integrating work, housing and recreation. Most creative institutions, firms and workers crave proximity so that ideas and knowledge can be transferred more quickly and seamlessly. The “open innovation” economy rewards collaboration, transforming how buildings and entire districts are designed and spatially arrayed. Diverse populations demands more and better choices of where to live, work and play, fueling demand for more walkable neighborhoods where housing, jobs and amenities intermix .

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Factsheet: Digitally enabled citizen participation in cities
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Citizen Participation involves increasing the input of citizens into public sector decisions and actions. This could be flagged as either democratisation or participation. The main potential of this democratisation or participation is to provide new information flows from citizens to government in order to make public decisions more responsive to citizens’ view or needs.
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Factsheet: Big Data for Mobility Planning
Data is being generated from multiple sources resulting in the formation of what is currently known as big data. Data sources are around us everywhere, smartphones, computers, environmental sensors, cameras, Geographical Positioning Systems (GPS), and even people. Various applications like social media sites, digital pictures and videos, commercial transactions, advertising applications, games, mobile phone activities, location-based positioning information, online activities and many more have helped accelerate data generation in the past few years.
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Factsheet: Implications of Autonomous vehicles on Urban Planning
There is currently significant interest in autonomous vehicles-vehicles that are capable of intelligent motion and action without requiring either a guide to follow or a teleoperator control. Potential applications of autonomous vehicles include reconnaissance/ exploratory vehicles for space and undersea, land, and air environments; remote repair and maintenance, material handling systems for the office and the factory and even intelligent wheelchairs for the handicapped. This paper explores the effect that mass adoption of autonomous vehicles could have on the quality of life in cities, issues that urban planners need to consider in the present and proposes a sustainable path of adoption.

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Factsheet: Cooperative Intelligent Transport System
The basic principle of Cooperative Intelligent Transport Systems (C-ITS) is that road users exchange information among each other and with infrastructure elements such as traffic lights or signs in real- time and at high-speeds. The technology can help implement city policies and strategies, and support policies to prioritise specific vehicle classes such as public transport or emergency vehicles. Improved traffic management can further support smart-city goals in terms of energy efficiency and reducing CO2 emissions.
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Case Study: C-ITS in Austrian cities

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Factsheet: Parking Management
A In Europe, growing and shrinking cities and districts are very often relatively close to each other, and allow for daily commutes from one centre to the other. The number of people travelling to these areas for work, education, shopping and leisure is increasing. Furthermore, middle-class households can afford a car for at least for travelling at weekends and for non-routine trips during the week. All these trends mean that in most attractive inner-city districts there is not enough parking available, making effective parking management increasingly important.
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​Case Study: Barcelona´s Parking Restriction Scheme (Spain)

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Factsheet: Access Restrictions
Access Restrictions Schemes (ARS) aim to restrict and enable access to city districts or network intersections. These strategies can reduce congestion and parking stress, improve traffic safety and network operations and help reduce direct emissions. ARS must be easy to administrate and execute; lead to as little delay as possible for cars entering or leaving; easily adjustable to meet future needs; and, if applicable, allow easy payment for both residents and non-residents.

Case Study:  Stockholm’s congestion charge (Sweden)

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Factsheet: Traffic management
Managing traffic in urban areas is a complex issue, involving different agencies and partners. However, if done right it can reduce congestion, emissions, pollution and parking pressure; facilitate freight delivery; and make the best use of available resources and infrastructure. It can also increase the share of sustainable transport modes, safety, and accessibility.

Case Study: Grand Lyon´s Traffic Management Tool (France)

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Factsheet: Car-Sharing
The advantage of owning a car means that there is always a vehicle available, but this comes with considerable drawbacks. Besides the initial costs of buying a vehicle, there are running costs, the need for a parking space, driving a car much larger than necessary for the trip, and general upkeep and services. In the 1990s, private car-sharing schemes started in Europe, promoting the idea of a car used by more than one person, thus utilising it much better, and sharing fixed costs between those involved. It would sometimes even eliminate the need for a second car and reduce the need for parking spaces.
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Case Study: Bremen´s Car-Sharing Scheme (Germany)

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Factsheet: Multimodal journey planners
A multimodal journey planner is a software application that allows users to plan a single trip using multiple modes of public and private transport. It is usually accessible on computers and other digital devices (e.g. smartphones). It provides integrated travel suggestions and encourages the use of sustainable transport.

Case Study: Vienna´s Multimodal Journey Planner (Austria)
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Factsheet: Registration management and number plate auctions
Managing vehicle registrations and auctioning vehicle number plates limits the amount of cars in a city by linking car ownership to possessing some form of permit. In addition to, or instead of, setting a limit on the number of vehicles, municipalities can charge a fee for owning a vehicle, potentially based on its fuel efficiency and emissions. This can also encourage people to use cleaner vehicles or more sustainable modes such as public transport and non-motorised modes.

Case Study: Restricting car ownership in Beijing and Shanghai (China)

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Factsheet: Fuel economy standards
Fuel economy standards, or variants such as CO2 emissions standards, aim to improve the fuel economy (and thus the emissions) of vehicles on a per-kilometre basis by imposing an upper limit on vehicles at the point of purchase. For policy-makers, the key benefit of fuel economy standards compared to other mechanisms is the need to deal with only a relatively small number of car manufacturers, whereas other policies usually target a vast number of individuals.

Case Study: Chile´s policy on fuel efficiency
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