scholarly journals Research on the Method of Urban Jobs-Housing Space Recognition Combining Trajectory and POI Data

2021 ◽  
Vol 10 (2) ◽  
pp. 71
Author(s):  
Ya Zhang ◽  
Jiping Liu ◽  
Yong Wang ◽  
Yungang Cao ◽  
Youda Bai
Keyword(s):  
Flow Model ◽  
Trajectory Data ◽  
Dynamic Flow ◽  
Public Facilities ◽  
Point Of Interest ◽  
Recognition Result ◽  
Different Types ◽  
Core Issue ◽  
Space Recognition ◽  
New Framework

With the gradual emergence of the separation and dislocation of urban jobs-housing space, rational planning of urban jobs-housing space has become the core issue of national land-spatial planning. To study the existing relationship between workspaces and living spaces, a new method to identify jobs-housing space is proposed, which not only considers the static spatial distribution of urban public facilities but also identifies the jobs-housing space by analyzing the real mobility characteristics of people from a humanistic perspective. This method provides a new framework for the identification of urban jobs-housing space by integrating point-of-interest (POI) and trajectory data. The method involves three steps: Firstly, based on the trajectory data, we analyze the characteristics of the dynamic flow of passengers in the grid and construct the living factors and working factors to identify the distribution of jobs-housing space. Secondly, we reclassify the POIs to calculate the category ratios of different types of POIs in the grid to identify the jobs-housing space. Finally, an OR operation is performed on the results obtained by the two methods to obtain the final recognition result. We selected Haikou City as the experimental area to verify the method proposed in this paper. The experimental results show that the recognition accuracy of the travel flow model is 72.43%, the POI quantitative recognition method’s accuracy is 74.94%, and the accuracy of the method proposed in this paper is 85.90%, which is significantly higher than the accuracy of the previous two methods. Therefore, the method proposed here can serve as a reference for subsequent research on urban jobs-housing space.

scholarly journals Framework for Indoor Elements Classification via Inductive Learning on Floor Plan Graphs

2021 ◽  
Vol 10 (2) ◽  
pp. 97
Author(s):  
Jaeyoung Song ◽  
Kiyun Yu
Keyword(s):  
Neural Network ◽  
Inductive Learning ◽  
Network Data ◽  
Floor Plan ◽  
Vector Data ◽  
Adjacency Graph ◽  
Different Types ◽  
Image Pixels ◽  
Learning Frameworks ◽  
New Framework

This paper presents a new framework to classify floor plan elements and represent them in a vector format. Unlike existing approaches using image-based learning frameworks as the first step to segment the image pixels, we first convert the input floor plan image into vector data and utilize a graph neural network. Our framework consists of three steps. (1) image pre-processing and vectorization of the floor plan image; (2) region adjacency graph conversion; and (3) the graph neural network on converted floor plan graphs. Our approach is able to capture different types of indoor elements including basic elements, such as walls, doors, and symbols, as well as spatial elements, such as rooms and corridors. In addition, the proposed method can also detect element shapes. Experimental results show that our framework can classify indoor elements with an F1 score of 95%, with scale and rotation invariance. Furthermore, we propose a new graph neural network model that takes the distance between nodes into account, which is a valuable feature of spatial network data.

scholarly journals A Spatiotemporal Statistical Method of Ship Domain in the Inland Waters Driven by Trajectory Data

2021 ◽  
Vol 9 (4) ◽  
pp. 410
Author(s):  
Fan Zhang ◽  
Xin Peng ◽  
Liang Huang ◽  
Man Zhu ◽  
Yuanqiao Wen ◽  
...  
Keyword(s):  
Statistical Method ◽  
Yangtze River ◽  
Domain Size ◽  
Inland Waters ◽  
The Yangtze River ◽  
Trajectory Data ◽  
Different Types ◽  
Dry Seasons ◽  
Ship Collision ◽  
Shape And Size

In this study, a method for dynamically establishing ship domain in inland waters is proposed to help make decisions about ship collision avoidance. The surrounding waters of the target ship are divided to grids and then calculating the grid densities of ships in each moment to determine the shape and size of ship domain of different types of ships. At last, based on the spatiotemporal statistical method, the characteristics of ship domains of different types of ship in different navigational environments were analyzed. The proposed method is applied to establish ship domains of different types of ship in Wuhan section of the Yangtze River in January, February, July, and August in 2014. The results show that the size of ship domain increases as the ship size increases in each month. The domain size is significantly influenced by the water level, and the ship domain size in dry seasons is larger than in the wet seasons of inland waters.

scholarly journals AVAILABILITY OF TRANSFER HUB INFRASTRUCTURE TO LIMITED-MOBILITY PEOPLE

2018 ◽  
pp. 82-90
Author(s):  
N. V. Danilina ◽  
S. V. Privezentseva
Keyword(s):  
Urban Environment ◽  
Disabled People ◽  
Research Results ◽  
Limited Mobility ◽  
Public Facilities ◽  
Different Types

This paper presents research into the formation of the inclusive urban environment in city transfer hubs. Research results are obtained in the field of availability to public facilities for disabled people, namely to transfer hubs. The analysis is given to the movement of disabled people according to different types of planning elements. The main principles are formulated for the development of planning solutions and parameters that meet requirements for the inclusive urban environment.

scholarly journals Identifying building obsolescence: towards increasing buildings' service life

2020 ◽  
Vol 38 (5) ◽  
pp. 635-652
Author(s):  
Mohammad Pourebrahimi ◽  
Seyed Rahman Eghbali ◽  
Ana Pereira Roders
Keyword(s):  
Service Life ◽  
Research Question ◽  
Effective Prevention ◽  
Content Type ◽  
Environmental Consequences ◽  
Different Types ◽  
The Relationship ◽  
Effective Prevention Strategies ◽  
Relevant Factors ◽  
New Framework

PurposeObsolescence is a decline or loss of utility of an object, building or product. Different types of building obsolescence decrease buildings’ utility and shorten their service life. The purpose of this paper is identification of building obsolescence types and the relevant factors that affect buildings to become obsolete. It is also intended to categorise building obsolescence types to provide a contribution towards increasing building service life and delivering sustainability.Design/methodology/approachA systematic literature review is applied to conduct this research. It follows five steps: (1) formulating the research question; (2) locating studies; (3) selecting and evaluating relevant studies; (4) analysing the findings; (5) reporting and making use of the results.FindingsVia this study, it is revealed that there are 33 types of building obsolescence. They are clustered in 10 categories regarding their conceptual and causing aspects and are presented based on their recurrence in the literature. According to the findings, economic obsolescence (including economic, financial and market obsolescence types) and functional obsolescence (including functional, use and utility obsolescence types) are the most remarkable categories.Originality/valueInvestigating the literature makes it clear that building obsolescence types have been studied intermittently with infrequent profound exploration of the relationship between them. This paper presents a comprehensive identification of building obsolescence types and introduces obsolescence categories that classify connected obsolescence types. It is a new framework for further studies on building obsolescence to find more effective prevention strategies to mitigate social, economic and environmental consequences of building obsolescence.

scholarly journals West Lake Tourist: A Visual Analysis System Based on Taxi Data

Smart Cities ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 345-358 ◽  
Author(s):  
Jiang ◽  
Cao ◽  
Liu ◽  
Fan
Keyword(s):  
Domain Knowledge ◽  
Visual Analysis ◽  
Route Planning ◽  
Trajectory Data ◽  
West Lake ◽  
Point Of Interest ◽  
Scenic Spot ◽  
City Construction ◽  
Analysis System

Mining the mobile pattern of the urban population plays an important role in city construction, and visual analysis is a powerful technique in studying mobile patterns. In this paper, based on the taxi trajectory data in Hangzhou, we share our design for an interactive visual analytic system, which helps analyzers leverage their domain knowledge to gain insight into travel patterns, including travel time rules of tourists and the distribution rules of pick-up and drop-off locations. Besides, our system can present the dynamic travel process and the Point of Interest (POIs) information of the origin and the destination. A case study has been conducted, which verifies that our system can provide tools for urban managers or urban experts on the design of scenic spot open entrances and exits and travel route planning.

scholarly journals Impact of Energy Slope Averaging Methods on Numerical Solution of 1D Steady Gradually Varied Flow

2015 ◽  
Vol 62 (3-4) ◽  
pp. 101-119 ◽  
Author(s):  
Wojciech Artichowicz ◽  
Dzmitry Prybytak
Keyword(s):  
Numerical Methods ◽  
Numerical Solution ◽  
Numerical Integration ◽  
Cross Sections ◽  
Flow Model ◽  
One Dimensional ◽  
Averaging Methods ◽  
Integration Formulas ◽  
Different Types ◽  
The One

AbstractIn this paper, energy slope averaging in the one-dimensional steady gradually varied flow model is considered. For this purpose, different methods of averaging the energy slope between cross-sections are used. The most popular are arithmetic, geometric, harmonic and hydraulic means. However, from the formal viewpoint, the application of different averaging formulas results in different numerical integration formulas. This study examines the basic properties of numerical methods resulting from different types of averaging.

scholarly journals Design and interpretation of cell trajectory assays

2013 ◽  
Vol 10 (88) ◽  
pp. 20130630 ◽  
Author(s):  
Lucie G. Bowden ◽  
Matthew J. Simpson ◽  
Ruth E. Baker
Keyword(s):  
Cell Biology ◽  
Time Interval ◽  
Short Time Interval ◽  
Trajectory Data ◽  
Time Intervals ◽  
Different Types ◽  
Long Time ◽  
A Cell ◽  
Cell Trajectory ◽  
Short Time

Cell trajectory data are often reported in the experimental cell biology literature to distinguish between different types of cell migration. Unfortunately, there is no accepted protocol for designing or interpreting such experiments and this makes it difficult to quantitatively compare different published datasets and to understand how changes in experimental design influence our ability to interpret different experiments. Here, we use an individual-based mathematical model to simulate the key features of a cell trajectory experiment. This shows that our ability to correctly interpret trajectory data is extremely sensitive to the geometry and timing of the experiment, the degree of motility bias and the number of experimental replicates. We show that cell trajectory experiments produce data that are most reliable when the experiment is performed in a quasi-one-dimensional geometry with a large number of identically prepared experiments conducted over a relatively short time-interval rather than a few trajectories recorded over particularly long time-intervals.

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