János Tóth, Domokos Esztergár-Kiss

Smart City


Data requirements

The data collection for a model of a large metropolis has remained a major effort. However, in many cases the introduction of computers in local government has generated a pool of routinely collected and updated data that can be used as the information base for a model, in particular in the fields of population, housing, land use and transport. Another factor reducing the data-dependency of urban models is the significant progress made in urban theory in the last decades. The models of today are more parsimonious, i.e. can do with less data than previous models. Examples illustrating this are the techniques to generate regional input-output matrices from national input-output matrices and regional totals through biproportional scaling methods; or techniques to create artificial microdata as samples from multivariate aggregate data. ‎[19]

Smart City

Tartalomjegyzék


Kiadó: Akadémiai Kiadó

Online megjelenés éve: 2019

ISBN: 978 963 454 271 1

This course material is included in the BME Faculty of Transportation Engineering and Vehicle Engineering Master programme. The main topics of Smart City course are the followings: Paradigm shift in urban citizen’s life, Smart city introduction, definitions and evaluation methods, Land use functions and models, city planning and strategic aspects, Utilization possibilities of information from social media, Internet of Things, wireless sensor networks and Smart Grid applications, Intermodal connections with their functionalities in the Smart City, Smart solutions in transportation management, Hungarian and international best practices.

Hivatkozás: https://mersz.hu/toth-esztergar-kiss-smart-city//

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