scholarly journals A Deep Learning Approach to Urban Street Functionality Prediction Based on Centrality Measures and Stacked Denoising Autoencoder

2020 ◽  
Vol 9 (7) ◽  
pp. 456
Author(s):  
Fatemeh Noori ◽  
Hamid Kamangir ◽  
Scott A. King ◽  
Alaa Sheta ◽  
Mohammad Pashaei ◽  
...  
Keyword(s):  
Urban Areas ◽  
Human Life ◽  
Movement Pattern ◽  
Centrality Measures ◽  
Denoising Autoencoder ◽  
Urban Streets ◽  
Urban Street ◽  
Arterial Road ◽  
Potential Factors ◽  
Transportation Research

In urban planning and transportation management, the centrality characteristics of urban streets are vital measures to consider. Centrality can help in understanding the structural properties of dense traffic networks that affect both human life and activity in cities. Many cities classify urban streets to provide stakeholders with a group of street guidelines for possible new rehabilitation such as sidewalks, curbs, and setbacks. Transportation research always considers street networks as a connection between different urban areas. The street functionality classification defines the role of each element of the urban street network (USN). Some potential factors such as land use mix, accessible service, design goal, and administrators’ policies can affect the movement pattern of urban travelers. In this study, nine centrality measures are used to classify the urban roads in four cities evaluating the structural importance of street segments. In our work, a Stacked Denoising Autoencoder (SDAE) predicts a street’s functionality, then logistic regression is used as a classifier. Our proposed classifier can differentiate between four different classes adopted from the U.S. Department of Transportation (USDT): principal arterial road, minor arterial road, collector road, and local road. The SDAE-based model showed that regular grid configurations with repeated patterns are more influential in forming the functionality of road networks compared to those with less regularity in their spatial structure.

scholarly journals Characteristics of the Urban Streets and the Implications for the Structure of Cities

1995 ◽  
Author(s):  
Edwin S. Brierley ◽  
Keyword(s):  
Urban Areas ◽  
Urban Structure ◽  
Urban Streets ◽  
Urban Street ◽  
The City

The paper presents the case that orthodox planning of urban areas in which an emphasis is placed upon the district plan implicitly misunderstands the characteristics of the urban street and the implications that such streets have for the structure of cities. Experiences of the city are often centred upon the street as a facet not only of the urban structure but also of the movement between districts and the variety of experiences that this facilitates. The paper, however, concludes that whereas the significance of urban streets is well established, in Britain they tend to be the legacy of previous centuries.

scholarly journals Applicability of urban streets as temporary open floodways

2020 ◽  
Vol 51 (4) ◽  
pp. 621-634
Author(s):  
Thea Ingeborg Skrede ◽  
Tone Merete Muthanna ◽  
Knut Alfredesen
Keyword(s):  
Climate Change ◽  
Urban Areas ◽  
Stormwater Management ◽  
Decision Support Tool ◽  
Performance Criteria ◽  
Impervious Surfaces ◽  
Rainfall Events ◽  
Support Tool ◽  
Urban Streets ◽  
Urban Street

Abstract Climate change coupled with urbanization and its increasing impervious surfaces have caused major challenges for the water sector worldwide. In Norway, an ageing infrastructure with already insufficient drainage capacities results in large amounts of runoff during high-intensity rainfall events causing frequent floods in urban areas. Due to limited available space to handle the future projected increase in stormwater, there is a need to utilize already occupied space for stormwater management, such as roads and streets, during extreme events. Limited research has been done on the design and applicability of urban streets as temporarily flood ways diverting stormwater to the nearest recipient. This paper will study the benefits and limitations of adapting urban streets as safe flood ways to route stormwater by modelling an urban street as a floodway. Streets as floodways will require additional hydraulic performance criteria and safety criteria. Performance criteria are identified and evaluated, and a method is proposed for the evaluation of urban streets applicability as floodways. The method can be used to evaluate the applicability of multifunctional streets used as urban floodways and can be adapted by municipalities as a decision support tool for stormwater management.

Quality indicator of the smart city transportation and logistics system

2020 ◽  
Vol 19 (11) ◽  
pp. 2116-2135
Author(s):  
G.V. Savin
Keyword(s):  
Intelligent Transportation Systems ◽  
Smart City ◽  
Urban Areas ◽  
Human Life ◽  
Life Quality ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Logistics System ◽  
Organization And Management

Subject. The article considers functioning and development of process flows of transportation and logistics system of a smart city. Objectives. The study identifies factors and dependencies of the quality of human life on the organization and management of stream processes. Methods. I perform a comparative analysis of previous studies, taking into account the uniquely designed results, and the econometric analysis. Results. The study builds multiple regression models that are associated with stream processes, highlights interdependent indicators of temporary traffic and pollution that affect the indicator of life quality. However, the identified congestion indicator enables to predict the time spent in traffic jams per year for all participants of stream processes. Conclusions. The introduction of modern intelligent transportation systems as a component of the transportation and logistics system of a smart city does not fully solve the problems of congestion in cities at the current rate of urbanization and motorization. A viable solution is to develop cooperative and autonomous intelligent transportation systems based on the logistics approach. This will ensure control over congestion, the reduction of which will contribute to improving the life quality of people in urban areas.

scholarly journals Modelling Pluvial Flooding in Urban Areas Coupling the Models Iber and SWMM

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2647
Author(s):  
Esteban Sañudo ◽  
Luis Cea ◽  
Jerónimo Puertas
Keyword(s):  
Urban Areas ◽  
Flow Model ◽  
Overland Flow ◽  
Drainage System ◽  
Urban Drainage ◽  
Dynamic Link Library ◽  
Storm Water Management Model ◽  
Urban Street ◽  
Sewer Network ◽  
Overland Flow Model

Dual urban drainage models allow users to simulate pluvial urban flooding by analysing the interaction between the sewer network (minor drainage system) and the overland flow (major drainage system). This work presents a free distribution dual drainage model linking the models Iber and Storm Water Management Model (SWMM), which are a 2D overland flow model and a 1D sewer network model, respectively. The linking methodology consists in a step by step calling process from Iber to a Dynamic-link Library (DLL) that contains the functions in which the SWMM code is split. The work involves the validation of the model in a simplified urban street, in a full-scale urban drainage physical model and in a real urban settlement. The three study cases have been carefully chosen to show and validate the main capabilities of the model. Therefore, the model is developed as a tool that considers the main hydrological and hydraulic processes during a rainfall event in an urban basin, allowing the user to plan, evaluate and design new or existing urban drainage systems in a realistic way.

Estimating the Effects of Urban Street Incidents on Capacity

2017 ◽  
Vol 2615 (1) ◽  
pp. 55-61 ◽  
Author(s):  
Aidin Massahi ◽  
Mohammed Hadi ◽  
Maria Adriana Cutillo ◽  
Yan Xiao
Keyword(s):  
Network Performance ◽  
Field Measurements ◽  
Signalized Intersection ◽  
Limited Information ◽  
Microscopic Simulation ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
Urban Streets ◽  
Urban Street ◽  
Incident Duration

The effect of incidents on capacity is the most critical parameter in estimating the influence of incidents on network performance. The Highway Capacity Manual 2010 (HCM 2010) provides estimates of the drop in capacity resulting from incidents as a function of the number of blocked lanes and the total number of lanes in the freeway section. However, there is limited information on the effects of incidents on the capacity of urban streets. This study investigated the effects on capacity of the interaction between the drop in capacity below demand at a midblock urban street segment location and upstream and downstream of signalized intersection operations. A model was developed to estimate the drop in capacity at the incident location as a function of the number of blocked lanes, the distance from the downstream intersection, and the green time–to–cycle length (g:C) ratio of the downstream signal. A second model was developed to estimate the reduction in the upstream intersection capacity resulting from the drop in capacity at the midblock incident location as estimated by the first model. The second model estimated the drop in capacity of the upstream links feeding the incident locations as a function of incident duration time, the volume-to-capacity (V/C) ratio at the incident location, and distance from an upstream signalized intersection. The models were developed on the basis of data generated with the use of a microscopic simulation model calibrated by comparison with parameters suggested in HCM 2010 for incident and no-incident conditions and by comparison with field measurements.

CLIMATE IMPACT AND CULTURAL SHIFTS IN NATURAL STRUCTURES AND HUMAN LIFE: A RIVER AREAS UTILIZATION AS COMMUNITY-BASED ECOTOURISM

2020 ◽  
Vol 14 (02) ◽  
pp. 62-83
Author(s):  
Isdarmanto Isdarmanto ◽  
Christantius Dwiatmaja ◽  
Hari Sunarto ◽  
Antonius Suryo Abdi
Keyword(s):  
Urban Areas ◽  
Local Community ◽  
Human Life ◽  
Climate Impact ◽  
Community Empowerment ◽  
Tourist Destinations ◽  
City Community ◽  
Nature Preservation ◽  
Tourism Climate

The Climate change in world tourism can change the system of human life and its influence on nature. The development of the global digital tourism climate, selfi tourism is able to change the attitude of individual behavior in response to the demands of competitive life. The development of tourist destinations in the world, primarily from natural factors, the demands of a sharp competitive climate require tourism managers to create artificial innovations that are developed from natural potentials that are more attractive in design so that they become alternative ecotourism idols capable of boosting tourism growth that is more conducive and attractive. This research develops river ecotourism areas which are oriented to aspects of environmental development, nature preservation and local community development. This study uses qualitative research so that it can explore various aspects of the natural and humanity of the region in depth through the empirical phenomena that exist in the field. The real condition of river area which is not well managed is not in accordance with the development of Smart city, community awareness and tourism activists who are less focused. Hence, it needs community empowerment and encouraging the role of tourism activists to play more in the development of urban areas, and the use of river as ecotourism.   Keywords: Ecotourism, Waterfront, Natural Resources

scholarly journals 2 + 1 Highways: Overview and Future Directions

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Manuel Romana ◽  
Marilo Martin-Gasulla ◽  
Ana T. Moreno
Keyword(s):  
Urban Areas ◽  
High Performance ◽  
White Paper ◽  
Future Directions ◽  
Research Directions ◽  
Traffic Volumes ◽  
Primary Means ◽  
The Common ◽  
Rural Access ◽  
Transportation Research

Most of the rural transportation system is composed of two-lane highways, and many of them serve as the primary means for rural access to urban areas and freeways. In some highways, traffic volumes can be not high enough to justify a four-lane highway but higher than can be served by isolated passing lanes, or can present high number of head-on collisions. In those conditions, 2 + 1 highways are potentially applicable. This type of highway is used to provide high-performance highways as intermediate solution between the common two-lane highway and the freeway. Successful experiences reported in Germany, Sweden, Finland, Poland, or Texas (US) may suggest that they are potentially applicable in other countries. The objective of this white paper is to provide an overview of the past practice in 2 + 1 highways and discuss the research directions and challenges in this field, specially focusing on, but not limited to, operational research in association with the activities of the Subcommittee on Two-Lane Highways (AHB40 2.2) of the Transportation Research Board. The significance of this paper is twofold: (1) it provides wider coverage of past 2 + 1 highways design and evaluation, and (2) it discusses future directions of this field.

Sex in the city

2019 ◽  
pp. 249-257
Author(s):  
Dinesh Bhugra ◽  
Antonio Ventriglio
Keyword(s):  
Sexually Transmitted Diseases ◽  
Sex Workers ◽  
Urban Areas ◽  
Human Life ◽  
Sexual Relationship ◽  
Geographical Proximity ◽  
Male And Female ◽  
Sexually Transmitted ◽  
Sexual Partnering ◽  
The City

Sexual acts form the basis of human life. In urban areas, both male and female sex workers and their mental health have been studied. The risks of resulting sexually transmitted diseases are higher and, consequently, physical and psychiatric comorbidity may be higher. The theory of sex markets focuses on sexual partnering and emphasizes that it is fundamentally a local process, meaning that the two people must live within reasonable geographical proximity to initiate and develop a sexual relationship that is physical. Of course, often people do indulge in cybersex, for which adequate electronic and WiFi facilities have to be available. Economic needs and perspectives may play a major role in transient sexual partnering.

scholarly journals Mapping Urban Areas Using a Combination of Remote Sensing and Geolocation Data

2019 ◽  
Vol 11 (12) ◽  
pp. 1470 ◽  
Author(s):  
Nan Xia ◽  
Liang Cheng ◽  
ManChun Li
Keyword(s):  
Remote Sensing ◽  
Land Surface ◽  
Urban Areas ◽  
Large Scale ◽  
High Spatial Resolution ◽  
Human Life ◽  
Human Movement ◽  
Night Time ◽  
Urban Mapping ◽  
The City

Urban areas are essential to daily human life; however, the urbanization process also brings about problems, especially in China. Urban mapping at large scales relies heavily on remote sensing (RS) data, which cannot capture socioeconomic features well. Geolocation datasets contain patterns of human movement, which are closely related to the extent of urbanization. However, the integration of RS and geolocation data for urban mapping is performed mostly at the city level or finer scales due to the limitations of geolocation datasets. Tencent provides a large-scale location request density (LRD) dataset with a finer temporal resolution, and makes large-scale urban mapping possible. The objective of this study is to combine multi-source features from RS and geolocation datasets to extract information on urban areas at large scales, including night-time lights, vegetation cover, land surface temperature, population density, LRD, accessibility, and road networks. The random forest (RF) classifier is introduced to deal with these high-dimension features on a 0.01 degree grid. High spatial resolution land cover (LC) products and the normalized difference built-up index from Landsat are used to label all of the samples. The RF prediction results are evaluated using validation samples and compared with LC products for four typical cities. The results show that night-time lights and LRD features contributed the most to the urban prediction results. A total of 176,266 km2 of urban areas in China were extracted using the RF classifier, with an overall accuracy of 90.79% and a kappa coefficient of 0.790. Compared with existing LC products, our results are more consistent with the manually interpreted urban boundaries in the four selected cities. Our results reveal the potential of Tencent LRD data for the extraction of large-scale urban areas, and the reliability of the RF classifier based on a combination of RS and geolocation data.

scholarly journals New Policy Framework with Plastic Waste Control Plan for Effective Plastic Waste Management

2020 ◽  
Vol 12 (15) ◽  
pp. 6049
Author(s):  
Sun-Kyoung Shin ◽  
Namil Um ◽  
Yong-Jun Kim ◽  
Na-Hyeon Cho ◽  
Tae-Wan Jeon
Keyword(s):  
Waste Management ◽  
Circular Economy ◽  
Urban Areas ◽  
Human Life ◽  
Developed Countries ◽  
Plastic Waste ◽  
Policy Framework ◽  
Circulation System ◽  
Plastic Pollution ◽  
Control Plan

With an increasing use of plastic, considerable plastic waste is generated, threatening the environment and public health. In particular, changes in living patterns in urban areas have significantly impacted the rate at which plastic waste increases every year. Thus, governments in many developed countries have implemented numerous policies to reduce plastic waste generation. Among them is the concept of circular economy that aims to protect the environment from plastic pollution and promote growth and innovation in industry and human life through overall changes in designing, producing, using, and recycling plastic products. The Korean government has implemented the Resource Circulation Act (RCA), which includes the concept of circular economy and resource efficiency policy for overall waste management. Following the concept of RCA, the Plastic Waste Control Plan (PWCP) was established for the comprehensive management of plastic waste. Therefore, this study introduces the goals and strategies of PWCP, which has a circulation system of four stages of production, consumption, discharge, and recycling, as well as the major roadblocks in the stages impeding the achievement of the goals and strategies. This study also suggests countermeasures at the government level for solving the major problems in the four stages.

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