scholarly journals Mobile Phone Data for Urban Climate Change Adaptation: Reviewing Applications, Opportunities and Key Challenges

2020 ◽  
Vol 12 (4) ◽  
pp. 1501
Author(s):  
Sébastien Dujardin ◽  
Damien Jacques ◽  
Jessica Steele ◽  
Catherine Linard
Keyword(s):  
Climate Change ◽  
Urban Planning ◽  
Mobile Phone ◽  
Urban Areas ◽  
Urban Governance ◽  
Urban Climate ◽  
Spatial Modelling ◽  
Mobile Phone Data ◽  
Transformative Change ◽  
Digital Information

Climate change places cities at increasing risk and poses a serious challenge for adaptation. As a response, novel sources of data combined with data-driven logics and advanced spatial modelling techniques have the potential for transformative change in the role of information in urban planning. However, little practical guidance exists on the potential opportunities offered by mobile phone data for enhancing adaptive capacities in urban areas. Building upon a review of spatial studies mobilizing mobile phone data, this paper explores the opportunities offered by such digital information for providing spatially-explicit assessments of urban vulnerability, and shows the ways these can help developing more dynamic strategies and tools for urban planning and disaster risk management. Finally, building upon the limitations of mobile phone data analysis, it discusses the key urban governance challenges that need to be addressed for supporting the emergence of transformative change in current planning frameworks.

scholarly journals Smart Urban Governance for Climate Change Adaptation

2021 ◽  
Vol 6 (3) ◽  
pp. 223-226
Author(s):  
Thomas Thaler ◽  
Patrick A. Witte ◽  
Thomas Hartmann ◽  
Stan C. M. Geertman
Keyword(s):  
Climate Change ◽  
Urban Planning ◽  
Climate Change Adaptation ◽  
Urban Areas ◽  
Urban Governance ◽  
Climate Adaptation ◽  
New Ideas ◽  
Technical Expert ◽  
Political Dimensions ◽  
Digital Knowledge

Climate change will affect the way cities work substantially. Flooding and urban heating are among the most tangible consequences in cities around the globe. Extreme hydro-meteorological events will likely increase in the future due to climate change. Making cities climate-resilient is therefore an urgent challenge to sustain urban living. To adapt cities to the consequences of climate change, new ideas and concepts need to be adopted. This oftentimes requires action from different stakeholder groups and citizens. In other words, climate adaptation of cities needs governance. Facilitating such urban governance for climate adaptation is thus a big and increasing challenge of urban planning. Smart tools and its embedding in smart urban governance is promising to help in this respect. To what extent can the use of digital knowledge technologies in a collaborative planning setting be instrumental in facilitating climate adaptation? This question entails visualising effects of climate adaptation interventions and facilitating dialogue between governments, businesses such as engineering companies, and citizens. The aim of this thematic issue is to explore how the application of technologies in urban planning, embedded in smart urban governance, can contribute to provide climate change adaptation. We understand smart urban governance in this context both in terms of disclosing technical expert information to the wider public, and in terms of supporting with the help of technologies the wider governance debates between the stakeholders involved. The contributions reflect this dual focus on socio-technical innovations and planning support, and therefore include various dimensions, from modelling and interacting to new modes of urban governance and political dimensions of using technologies in climate change adaptation in urban areas.

Managing African Urbanization in the Context of Environmental Change

2014 ◽  
Vol 2 (2) ◽  
Author(s):  
Shuaib Lwasa
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Social Services ◽  
Urban Areas ◽  
Urban Governance ◽  
Sub Saharan Africa ◽  
African Countries ◽  
Sub Saharan ◽  
Urbanization Rate ◽  
Development And Management

Africa’s urbanization rate has increased steadily over the past three decades and is reported to be faster than in any other region in the world . It is estimated that by 2030, over half of the African population will be living in urban areas . But the nature of Africa’s urbanization and subsequent form of cities is yet to be critically analyzed in the context of city authorities’ readiness to address the challenges . Evidence is also suggesting that urbanization in African countries is increasingly associated with the high economic growth that has been observed in the last two decades . Both underlying and proximate drivers are responsible for the urbanization, and these include population dynamics, economic growth, legislative designation, increasing densities in rural centers, as well as the growth of mega cities such as Lagos, Cairo and Kinshasa, that are extending to form urban corridors . With the opportunities of urbanization in Sub–Saharan Africa, there are also challenges in the development and management of these cities . Those challenges include provision of social services, sustainable economic development, housing development, urban governance, spatial development guidance and environmental management, climate change adaptation, mitigation and disaster risk reduction . The challenge involves dealing with the development and infrastructure deficit, in addition to required adaption to and mitigation of climate change . This paper examines the current state of urban management in Africa .

Travel mode recognition of urban residents using mobile phone data and MapAPI

2021 ◽  
pp. 239980832098300
Author(s):  
Zhenghong Peng ◽  
Guikai Bai ◽  
Hao Wu ◽  
Lingbo Liu ◽  
Yang Yu
Keyword(s):  
Urban Planning ◽  
Mobile Phone ◽  
Traffic Flow ◽  
Road Traffic ◽  
Urban Traffic ◽  
Phone Call ◽  
Traffic Information ◽  
Mobile Phone Data ◽  
Urban Residents ◽  
Travel Mode

Obtaining the time and space features of the travel of urban residents can facilitate urban traffic optimization and urban planning. As traditional methods often have limited sample coverage and lack timeliness, the application of big data such as mobile phone data in urban studies makes it possible to rapidly acquire the features of residents’ travel. However, few studies have attempted to use them to recognize the travel modes of residents. Based on mobile phone call detail records and the Web MapAPI, the present study proposes a method to recognize the travel mode of urban residents. The main processes include: (a) using DBSCAN clustering to analyze each user’s important location points and identify their main travel trajectories; (b) using an online map API to analyze user’s means of travel; (c) comparing the two to recognize the travel mode of residents. Applying this method in a GIS platform can further help obtain the traffic flow of various means, such as walking, driving, and public transit, on different roads during peak hours on weekdays. Results are cross-checked with other data sources and are proven effective. Besides recognizing travel modes of residents, the proposed method can also be applied for studies such as travel costs, housing–job balance, and road traffic pressure. The study acquires about 6 million residents’ travel modes, working place and residence information, and analyzes the means of travel and traffic flow in the commuting of 3 million residents using the proposed method. The findings not only provide new ideas for the collection and application of urban traffic information, but also provide data support for urban planning and traffic management.

Re-thinking “Smart City” – transferring urban climate research into city planning processes

2021 ◽  
Author(s):  
Joachim Fallmann ◽  
Hans Schipper ◽  
Stefan Emeis ◽  
Marc Barra ◽  
Holger Tost
Keyword(s):  
Climate Change ◽  
Smart City ◽  
Urban Areas ◽  
City Planning ◽  
Transport Model ◽  
Urban Climate ◽  
Metropolitan Region ◽  
Air Pollution Control ◽  
Urban Greening ◽  
Holistic Understanding

<p>With more and more people residing in cities globally, urban areas are particularly vulnerable to climate change. It is therefore important, that the principles of climate-resilient city planning are reflected in the planning phase already. A discussion of adaptation measures requires a holistic understanding of the complex urban environment, and necessarily has to involve cross-scale interactions, both spatially and temporally. This work examines the term “Smart City” with regard to its suitability for the definition of sustainable urban planning based on urban climate studies over the past decade and own modelling work. Existing literature is assessed from a meteorological perspective in order to answer the question how results from these studies can be linked to architectural design of future urban areas. It has been long understood that measures such as urban greening, or so-called "Nature Based Solutions", are able to dampen excess heat and help reducing energetic costs. As numerous studies show however, integrating vegetation in the urban landscape shares a double role in regional adaptation to climate change due to both cooling effect and air pollution control. Using the state-of-the-art chemical transport model MECO(n) coupled to the urban canopy parametrisation TERRA_URB, we simulated a case study for the Rhine-Main metropolitan region in Germany, highlighting mutual unwanted relationships in modern city planning. Hence, we oppose the so-called compact city approach to an urban greening scenario with regard to the potential for both heat island mitigation and air quality.</p>

scholarly journals Mapping the Life Cycle Co-Creation Process of Nature-Based Solutions for Urban Climate Change Adaptation

Resources ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 39
Author(s):  
Marta Irene DeLosRíos-White ◽  
Peter Roebeling ◽  
Sandra Valente ◽  
Ines Vaittinen
Keyword(s):  
Climate Change ◽  
Life Cycle ◽  
Urban Areas ◽  
Design Thinking ◽  
Urban Climate ◽  
Urban Ecosystem ◽  
Participatory Approaches ◽  
Creation Process ◽  
Living Lab ◽  
The Face

Developing urban and peri-urban ecosystem services with nature-based solutions (NBS) and participatory approaches can help achieve more resilient and sustainable environments for cities and urban areas in the face of climate change. The co-creation process is increasingly recognised as the way forward to deal with environmental issues in cities, allowing the development of associated methods and tools that have been described and published for specific stages. It is argued that the co-creation process comprises various interlinked stages, corresponding stakeholders, and subsequent methods and tools that need to be mapped and integrated across all stages. In this study, a Life Cycle Co-Creation Process (LCCCP) for NBS is developed, building on continuous improvement cycles and Design Thinking methodologies, and for which the stages and substages, involved stakeholders and engagement methods and tools are mapped and defined. For stakeholders, the actors of an Urban Living Lab (ULL) are adapted to the LCCCP; for the engagement methods and tools, the goals of stakeholder engagement are used as a guide to select examples of co-creation methods and tools. The developed LCCCP comprises five stages, i.e., CoExplore, CoDesign, CoExperiment, CoImplement and CoManagement, creating a unique path that can be followed by practitioners for NBS co-creation.

scholarly journals Urban vulnerability and resilience within the context of climate change

2012 ◽  
Vol 12 (5) ◽  
pp. 1811-1821 ◽  
Author(s):  
E. Tromeur ◽  
R. Ménard ◽  
J.-B. Bailly ◽  
C. Soulié
Keyword(s):  
Climate Change ◽  
Urban Areas ◽  
Spatial Organization ◽  
Urban Climate ◽  
Carbon Dioxide Emission ◽  
Urban Resilience ◽  
Climate Risks ◽  
Heating And Cooling ◽  
Urban Vulnerability ◽  
Energy Needs

Abstract. Natural hazards, due to climate change, are particularly damaging in urban areas because of interdependencies of their networks. So, urban resilience has to face up to climate risks. The most impacting phenomenon is the urban heat island (UHI) effect. The storage capacity of heat is depending on shapes of buildings, public spaces, spatial organization, transport or even industrial activities. So, adaptive strategies for improving urban climate could be possible in different ways. In the framework of the French project Resilis, this study characterises urban vulnerability and resilience in terms of energy needs of buildings and outside urban comfort according to the IPCC carbon dioxide emission scenarios B2 and A2 for the period 2050–2100 for 10 French cities. The evolutions of four climate indicators in terms of heating and cooling needs and number of hours when the temperature is above 28 °C are then obtained for each city to analyse climate risks and their impacts in urban environment.

scholarly journals Green Roofs and Walls Design Intended to Mitigate Climate Change in Urban Areas across All Continents

2021 ◽  
Vol 13 (4) ◽  
pp. 2245
Author(s):  
Fernando Barriuso ◽  
Beatriz Urbano
Keyword(s):  
Climate Change ◽  
Urban Areas ◽  
Urban Climate ◽  
Environmental Pollutants ◽  
Climate Extremes ◽  
Green Roofs ◽  
Urban Greening ◽  
Runoff Water ◽  
Growing Seasons ◽  
Urban Stormwater Runoff

Green roofs and walls can mitigate the environmental and climate change of a city. They can decrease the urban heat island (UHI), reduce greenhouse gas emissions, fix environmental pollutants, manage urban stormwater runoff, attenuate noise, and enhance biodiversity. This paper aims to analyse green roofs and walls in the possible mitigation of urban climate change and compare it by continent. Green roofs and walls might decrease the air temperature in a city up to 11.3 °C and lower the thermal transmittance into buildings up to 0.27 W/m2 K. Urban greening might sequester up to 375 g C·m−2 per two growing seasons and increase stormwater retention up to 100%. Urban greening might attenuate city noise up to 9.5 dB. The results found green roofs and walls of varied effectiveness in ameliorating climate extremes present in host continents. Results show urban planners might focus on green roofs and walls exposure to attenuate temperatures in hotter Asian cities and advise greening in cities in Africa and Asia. European and American designers might optimise runoff water capacity of green roofs and walls systems and use greening in old buildings to improve insulation. Recommendations are made based on the study to concentrate certain designs to have greater impact on priority climate challenges, whether UHI or stormwater related. This study provides information for decision and policymakers regarding design and exposure of green roofs and walls to mitigate urban environmental and climate change.

PALM-4U – A building-resolving microscale model to support future adaptation of cities in a changing urban climate

2020 ◽  
Author(s):  
Sebastian Hettrich ◽  
Björn Maronga ◽  
Siegfried Raasch
Keyword(s):  
Climate Change ◽  
Air Quality ◽  
Environmental Sustainability ◽  
Urban Areas ◽  
City Planning ◽  
Urban Climate ◽  
Scientific Models ◽  
Extreme Weather Events ◽  
Second Phase ◽  
Microscale Model

<p align="justify">In a world with increasing extreme weather events, such as dry or extreme rain periods, due to climate change and an ever growing population specifically in urban areas, a forsighted planning and adaption of cities and their urban surroundings is becoming more and more important. Here, particularly health and comfort of the urban population, such as thermal comfort, air quality, ventilation or UV exposure, but also other aspects like safety and environmental sustainability play an important role. In order to create the cities of tomorrow that meet the real requirements to host healthy and firendly living conditions, city planners are relying on scientific models where they can simulate how changes in the urban environment can effect its climate. The PALM-4U (Parallelised Large-Eddy Simulation Model for Urban Applications) model was specifically developed to be able to simulate a large variety of parameters on short timescales and at the high resolution that is required to resolve single buildings or obstacles like trees within the city.</p><p align="justify">In September 2019, the second phase of the German research project MOSAIK (model-based city planning and application in climate change), a module within the large over-arching project [UC]² (Urban Climate Under Change) that focusses on the further development of the model, has started.</p><p align="justify">In this overview, we will present the PALM-4U‘s current capabilities and outline the planned future development in the coming years like windbreak modelling, coupling with traffic flow models, including biogenic volatile organic compounds in urban air quality modelling. Furthermore, our PALM-4U community model strategy will be explained.</p>

scholarly journals Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models

2017 ◽  
Vol 4 (5) ◽  
pp. 160950 ◽  
Author(s):  
Cecilia Panigutti ◽  
Michele Tizzoni ◽  
Paolo Bajardi ◽  
Zbigniew Smoreda ◽  
Vittoria Colizza
Keyword(s):  
Infectious Disease ◽  
Mobile Phone ◽  
Urban Areas ◽  
Large Scale ◽  
Human Mobility ◽  
Mobile Phone Data ◽  
Disease Models ◽  
Mobility Patterns ◽  
Mobility Data ◽  
Infectious Disease Models

The recent availability of large-scale call detail record data has substantially improved our ability of quantifying human travel patterns with broad applications in epidemiology. Notwithstanding a number of successful case studies, previous works have shown that using different mobility data sources, such as mobile phone data or census surveys, to parametrize infectious disease models can generate divergent outcomes. Thus, it remains unclear to what extent epidemic modelling results may vary when using different proxies for human movements. Here, we systematically compare 658 000 simulated outbreaks generated with a spatially structured epidemic model based on two different human mobility networks: a commuting network of France extracted from mobile phone data and another extracted from a census survey. We compare epidemic patterns originating from all the 329 possible outbreak seed locations and identify the structural network properties of the seeding nodes that best predict spatial and temporal epidemic patterns to be alike. We find that similarity of simulated epidemics is significantly correlated to connectivity, traffic and population size of the seeding nodes, suggesting that the adequacy of mobile phone data for infectious disease models becomes higher when epidemics spread between highly connected and heavily populated locations, such as large urban areas.

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