Planning Support Systems and Smart Cities

Geertman, Stan; Ferreira, Joseph; Goodspeed, Robert; Stillwell, John

doi:10.1007/978-3-319-18368-8

Cited by 62 publications

(10 citation statements)

References 231 publications

(301 reference statements)

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“…CitySim (http://citysim.epfl.ch) [16], developed by Ecole Polytechnique Fédérale de Lausanne University, is a tool that allows building energy simulation at the scale of an urban district. Li, et al [17] introduced a geographical information system (GIS)-based urban building energy modeling system, using the Urban-EPC simulation engine, a modified energy performance calculator engine. Both tools used simplified resistor-capacitor network models to predict the operational energy usage for urban planners to minimize energy and emissions.…”

Section: Introductionmentioning

confidence: 99%

Automatic generation and simulation of urban building energy models based on city datasets for city-scale building retrofit analysis

2017

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Buildings in cities consume 30% to 70% of total primary energy, and improving building energy efficiency is one of the key strategies towards sustainable urbanization. Urban building energy models (UBEM) can support city managers to evaluate and prioritize energy conservation measures (ECMs) for investment and the design of incentive and rebate programs. This paper presents the retrofit analysis feature of City Building Energy Saver (CityBES) to automatically generate and simulate UBEM using EnergyPlus based on cities' building datasets and userselected ECMs. CityBES is a new open web-based tool to support city-scale building energy efficiency strategic plans and programs. The technical details of using CityBES for UBEM generation and simulation are introduced, including the workflow, key assumptions, and major databases. Also presented is a case study that analyzes the potential retrofit energy use and energy cost savings of five individual ECMs and two measure packages for 940 office and retail buildings in six city districts in northeast San Francisco, United States. The results show that: (1) all five measures together can save 23%-38% of site energy per building; (2) replacing lighting with light-emitting diode lamps and adding air economizers to existing heating, ventilation and airconditioning (HVAC) systems are most cost-effective with an average payback of 2.0 and 4.3 years, respectively; and (3) it is not economical to upgrade HVAC systems or replace windows in 1 San Franciso due to the city's mild climate and minimal cooling and heating loads. The CityBES retrofit analysis feature does not require users to have deep knowledge of building systems or technologies for the generation and simulation of building energy models, which helps overcome major technical barriers for city managers and their consultants to adopt UBEM.

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Section: Introductionmentioning

confidence: 99%

Automatic generation and simulation of urban building energy models based on city datasets for city-scale building retrofit analysis

2017

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“…Pada ujungnya, SC berusahan untuk mencapai efisiensi dan efektifitas pemanfaatan sumber daya yang dikomsumsi oleh sebuah kota untuk menuju pembangunan berkelanjutan (Sofeska, 2017). Disamping itu, tujuan dari SC dalam konteks perencanaan kota adalah mengetahui (sensing) kondisi saat ini dengan data yang terhimpun untuk menentukan pengambilan keputusan yang tepat, sehingga SC bersifat solutif dalam mengatasi permasalahan kota dan mentukan rekayasa perencanaan ke depannya (Crooks et al, 2015;Geertman et al, 2015).…”

Section: Pendahuluanunclassified

Pemetaan Kategori Dimensi Smart City Berdasarkan Ragam Inovasi Aplikasi Dan Situs Web Manajemen Perkotaan Di Indonesia

Hutama

Djunaedi

2019

tataloka

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This research is motivated from the emerging of Smart City (SC) concept which lately has been implemented in Indonesian’s cities such as Jakarta, Bandung, and Surabaya as a mean to tackle city’s problems digitally. The use of Information and Communication Technology (ICT) becomes one of the SC characteristic which transformed into applications and websites. The main purpose of the research is to map the categorization of SC dimension based on the abundance of aplications and web sites for cities management. The explorative and qualitative approach was used as research method involving secondary data collection, categorization scheme, and pairing to Giffinger’s SC dimensions. About 338 SC’s innovation accounted from cities in Indonesia but only 109 registered as applications or websites. From those numbers, we then categorize into 14 typologies of applications/websites based on its methods in tackling urban problems. They are job related information, transport and traffic, education, citizen participation, environmental management, governance, bureaucracy/permission, staffing, health, energy management, disaster mitigation, criminality, entrepreneurship, and culture and tourism. As result, those categorizations are, in fact, more comprehensive than those of Giffinger’s six smart city dimensions by adding two more dimensions namely Smart Energy Management and Smart Disaster Mitigation. Despite the availability of the applications and websites related to them, the implementation is still limited.

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“…for example when walking home alone at night after a night out) (Satchell and Foth 2011). Where Satchell and Foth mainly aimed to mitigate people's feelings of personal safety, the Emocycling project (Zeile et al 2015) attempts to improve traffic safety by utilizing aggregated arousal level data of cyclists in the city to inform urban planning. In this study, participants were equipped with wearable technology to measure physiological data in combination with a GoPro-camera and a GPS-tracker to make it possible to geolocate the measurements and detect areas of negative arousal in the city.…”

Section: Increased Focus On Emotion and Affectmentioning

confidence: 99%

“…The aim was to identify hotspots of stress for cyclists in the city, enabling non-professionals to use technology to automatically identify potential danger spots in the traffic infrastructure that need to be redesigned. This example illustrates that the data collected by a Quantified-Self system like an activity tracker could not only valuable for the individual using it, but could potentially also be used to, in this case, improve the traffic infrastructure of a city (Stals, Smyth, and Mival 2017b;Zeile et al 2015).…”

Section: Increased Focus On Emotion and Affectmentioning

confidence: 99%

Capturing, Exploring and Sharing People’s Emotional Bond with Places in the City using Emotion Maps

Stals¹,

Smyth²,

Mival³

2018

airea

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With the vision of ubiquitous computing becoming increasingly realized through smart city solutions, the proliferation of smartphones and smartwatches, and the rise of the quantified-self movement, a new technological layer is being added to the urban environment. This technological layer offers the possibility to capture, track, measure, visualize, and augment our experience of the urban environment. But to that end, there is a growing need to better understand the triangular relationship between person, place, and technology. Urban HCI studies are increasingly focusing on emotion and affect to create a better understanding of people’s experience of the city, and to investigate how technology could potentially play a role in augmenting this urban lived experience. Artist Christian Nold for example, used wearable technology to measure people's arousal levels as they walked freely through the urban environment, identifying locations in the city that evoked an emotional response from people. After these walks, people’s arousal levels were superimposed on a map of the city and participants were asked to interpret their own data, resulting in aggregated, fully annotated, and beautifully visualized emotion maps of the city. Based on a systematic review of emotions maps in existing literature, and our own work which seeks to understand how people’s experiences of places in the urban environment that are meaningful to them on a personal level, for example the place where they have met their partner, could potentially inform the design of future technological devices and services, this journal paper discusses the strengths, limitations and potential of capturing, representing, exploring and sharing this personal, geo-located emotion data with other people using emotion maps. Although our analysis seems to indicate that emotion maps in their current form are only of limited efficacy in accurately capturing, representing and communicating the profound, complex emotional bond that people have with personally meaningful places in the city, there appears to be potential for the use of emotion maps as a provocation in a speculative design approach.

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Planning Support Systems and Smart Cities

Cited by 62 publications

References 231 publications

Automatic generation and simulation of urban building energy models based on city datasets for city-scale building retrofit analysis

Automatic generation and simulation of urban building energy models based on city datasets for city-scale building retrofit analysis

Pemetaan Kategori Dimensi Smart City Berdasarkan Ragam Inovasi Aplikasi Dan Situs Web Manajemen Perkotaan Di Indonesia

Capturing, Exploring and Sharing People’s Emotional Bond with Places in the City using Emotion Maps

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