Transportation Policies for Livable Cities

Vuchic, Vukan R

doi:10.4324/9781351318167-6

Cited by 33 publications

(43 citation statements)

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“…[1]. This trend is consistent with the principle of sustainable urban development and should ultimately lead to implementation of the livable city concept [2].…”

Section: Introductionmentioning

confidence: 58%

Calculation of vehicle delay at signal-controlled intersections with adaptive traffic control algorithm

Andronov

Leverents

2018

MATEC Web Conf.

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Abstract. By widely introducing information technology tools in the field of traffic control, it is possible to increase the capacity of hubs and reduce vehicle delays. Adaptive traffic light control is one of such tools. Its effectiveness can be assessed through traffic flow simulation. The aim of this study is to create a simulation model of a signal-controlled intersection that can be used to assess the effectiveness of adaptive control in various traffic situations, including the presence or absence of pedestrian traffic through an intersection. The model is based on a numerical experiment conducted using the Monte Carlo method. As a result of the study, vehicle delays, queue length and duration of traffic light cycles are calculated subject to different intensities of incoming traffic flows, and the presence or absence of pedestrian traffic.

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“…[1]. This trend is consistent with the principle of sustainable urban development and should ultimately lead to implementation of the livable city concept [2].…”

Section: Introductionmentioning

confidence: 58%

Calculation of vehicle delay at signal-controlled intersections with adaptive traffic control algorithm

Andronov

Leverents

2018

MATEC Web Conf.

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“…The proliferation of mass motorization and housing suburbanization policies have over time displaced trams from the urban streets of America and Canada, and after World War II -Western Europe [21]. Subsequently, this resulted in a negative synergy.…”

Section: Resultsmentioning

confidence: 99%

Tramway as an indicator of the realisation of Smart City concept

Savchuk¹,

Nahornyi

2020

E3S Web Conf.

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Nowadays, the world’s leading cities are focused on the Smart City concept, due to the widespreading of innovations that enhance quality of life. The need for sustainable development for the harmonious prolongation of the humanity existence raises attention to attempts for improving the economic, social and environmental conditions. Among the modes of transport, the most harmonious in the modern city, which strives for sustainable development, is the tramway. The experience of the tramway renaissance during the last decades indicates that it is not only a mode of transport but also a positive impact on the urban space and community. In the context of Ukraine’s integration into the European Community, it is important to analyse the experience of cities that have been successful in implementing urban transport innovations. In the article, we compare the cities of Kyiv and Budapest to find spatial patterns that should be obeyed for the sustainable development of a post-socialist city based on smart solutions.

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“…Understanding the spatio-temporal distribution of pedestrian volume in urban environments is essential for informing urban management and planning decisions to create livable and thriving city centers as well as mitigating negative effects including increased traffic and crime rates. While evidence from public health [1], transportation [2], environmental sciences [3], and environmental psychology [4] can provide theoretical basis for informing urban design, planners are increasingly using data-driven methods to identify opportunities for infrastructure improvements, analyze the use of design features, and evaluate the impacts of special events or public space redevelopment.…”

Section: Introductionmentioning

confidence: 99%

Visualization of Pedestrian Density Dynamics Using Data Extracted from Public Webcams

Petrášová

Hipp

Mitášová

2019

IJGI

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Accurate information on the number and distribution of pedestrians in space and time helps urban planners maintain current city infrastructure and design better public spaces for local residents and visitors. Previous studies have demonstrated that using webcams together with crowdsourcing platforms to locate pedestrians in the captured images is a promising technique for analyzing pedestrian activity. However, it is challenging to efficiently transform the time series of pedestrian locations in the images to information suitable for geospatial analytics, as well as visualize data in a meaningful way to inform urban design or decision making. In this study, we propose to use a space-time cube (STC) representation of pedestrian data to analyze the spatio-temporal patterns of pedestrians in public spaces. We take advantage of AMOS (The Archive of Many Outdoor Scenes), a large database of images captured by thousands of publicly available, outdoor webcams. We developed a method to obtain georeferenced spatio-temporal data from webcams and to transform them into high-resolution continuous representation of pedestrian densities by combining bivariate kernel density estimation with trivariate, spatio-temporal spline interpolation. We demonstrate our method on two case studies analyzing pedestrian activity of two city plazas. The first case study explores daily and weekly spatio-temporal patterns of pedestrian activity while the second one highlights the differences in pattern before and after plaza's redevelopment. While STC has already been used to visualize urban dynamics, this is the first study analyzing the evolution of pedestrian density based on crowdsourced time series of pedestrian occurrences captured by webcam images. and privacy issues they raise. Labor-intensive, manual observation methods are often replaced by automated data collection using a variety of technological approaches, such as counting gates, GPS receivers and accelerometers in smart phones [5,6] and more recently also using call detail records (CDR) [7,8] and WiFi probe request data [9]. The challenges of asking people to actively wear the different sensors and privacy issues associated with telecommunication data, together with data and participant inaccessibility for research has led researchers to take advantage of crowdsourced, often publicly available, big data coming from social media networks, such as Twitter, Flickr, and Instagram [10]. Geolocated tweets and images have been used recently to study, e.g., urban parks visitation and access [11,12] and to gain insight about the paths of tourists through cities [13,14]. Strava-a network for tracking athletic activity-provides even more geospatially rich data which has been used to investigate cycling behavior [15], cycling infrastructure [16], and air pollution exposure of commuting cyclists [17].One of the increasingly popular methods for public space monitoring uses closed-circuit-television (CCTV) footage and webcams to capture and interpret images for a variety of purposes including se...

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Transportation Policies for Livable Cities

Cited by 33 publications

References 0 publications

Calculation of vehicle delay at signal-controlled intersections with adaptive traffic control algorithm

Calculation of vehicle delay at signal-controlled intersections with adaptive traffic control algorithm

Tramway as an indicator of the realisation of Smart City concept

Visualization of Pedestrian Density Dynamics Using Data Extracted from Public Webcams

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