Computational Urban Planning and Management for Smart Cities / / edited by Stan Geertman, Qingming Zhan, Andrew Allan, Christopher Pettit |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (xi, 511 pages) : illustrations. |
Disciplina | 307.1216 |
Collana | Lecture Notes in Geoinformation and Cartography |
Soggetto topico |
Geographical information systems
Urban geography Architecture Urban planning City planning Geographical Information Systems/Cartography Urban Geography / Urbanism (inc. megacities, cities, towns) Cities, Countries, Regions Urbanism |
ISBN | 3-030-19424-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Computational Planning and Management for Smart Cities: An Introduction -- Sejong Smart City: on the Road to be a City of the Future -- Data Protection Law and City Planning: Role of Open Data in Climate Resilience and Governance of National Capital Territory of Delhi, India -- Exploring Shared-Bike Travel Patterns Using Big Data: Evidence in Chicago and Budapest -- Can Social Media Play a Role in Urban Planning? A Literature Review -- Bridging the Information and Physical Space: Measuring Flow from Geo-Located Social Media Data on the Street Network -- Comparing Smart Governance Projects in China: A Contextual Approach -- A Preliminary Study on Micro-Scale Planning Support System -- Geodesign – A Tale of Three Cities -- Towards a Better Understanding of Urban Sprawl: Linking Spatial Metrics and Landscape Network Dynamics -- Correlating Household Travel Carbon Emissions, Travel Behavior and Land Use: Case Study of Wuhan, China -- A Simulation Platform for Transportation, Land Use and Mobile Source Emissions -- Hosting a Mega Event, a Drive Towards Sustainable Development: Dubai’s Expo 2020 -- Deep Learning Architect: Classification for Architectural Design Through the Eye of Artificial Intelligence -- An Immersive 3D Virtual Environment to Support Collaborative Learning and Teaching -- Spatiotemporal Information System Using Mixed Reality for Area-Based Learning and Sightseeing -- Origin-Destination Estimation of Bus Users by Smart Card Data -- The Comparison Between Two Different Algorithms of Spatio-Temporal Forecasting for Traffic Flow Prediction -- Developing a Behavioural Model for Modal Shift in Commuting -- Planning for Safer Road Facilities for Bicycle Users at Junctions -- Method to Evaluate the Location of Aged Care Facilities in Urban Areas Using Median Share Ratio -- Identifying Changes in Critical Locations for Transportation Networks Using Centrality -- Efficient Regional Travel for Rescue and Relief Activities in a Disaster -- A Two-Stage Process for Emergency Evacuation Planning: Shelter Assignment and Routing -- A Comprehensive Regional Accessibility Model Based on Actual Routes-of-Travel: A Proposal with Multiple Online Data -- Taxi Behavior Simulation and Improvement with Agent-Based Modelling. |
Record Nr. | UNINA-9910337897003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Intelligence for future cities : planning through big data and urban analytics / / edited by Robert Goodspeed, Raja Sengupta, Marketta Kyttä, Christopher Pettit |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (xi, 345 pages) : illustrations (some color) |
Disciplina | 307.12160285 |
Altri autori (Persone) |
GoodspeedRobert
SenguptaRaja KyttäMarketta PettitChristopher |
Collana | The Urban Book Series |
Soggetto topico |
City planning - Data processing
Smart cities |
ISBN | 3-031-31746-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Part 1: Digital cities -- Hybrid smartness: Seeking a balance between top-down and bottom-up smart city approaches -- Interpreting the smart city through topic modelling -- The venue code: digital surveillance, spatial (re)organization, and infrastructural power during the COVID pandemic in China -- The platformization of public participation: Considerations for urban planners navigating new engagement tools -- Part 2: Mobility futures -- Shared micro-mobility: A panacea or a patch for our urban transport problems?- Understanding bikeability: Insight into the cycling–city relationship using massive dockless bike-sharing records in Beijing -- Disclosing the impact of micro-level environmental characteristics on dockless bikeshare trip volume: A case study of Ithaca -- A planning support system for boosting bikeability in Seoul -- Integrating big data and a travel survey to understand the gender gap in ride-hailing usage: evidence from Chengdu, China -- Urban airspace route planning for advanced air mobility operations -- Part 3: Fine-scale urban analysis -- “Eyes on the Street”: Estimating natural surveillance along Amsterdam’s city streets using street-level imagery -- Automatic evaluation of street-level walkability based on computer vision techniques and urban big data: A case study of Kowloon West, Hong Kong -- Promoting sustainable travel through a web-based tourism support system -- Applying the Aurin walkability index at the metropolitan and local levels by sex and age in Australia -- Predicting urban heat island mitigation with random forest regression in Belgian cities -- A framework to probe the uncertainties in urban cellular automata modeling with multilevel density for the Wallonia region, Belgium. |
Record Nr. | UNINA-9910728929203321 |
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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