Stations In Area Research Articles

Radio-Frequency Electromagnetic Background Created by Mobile (Cellular) Communications

The technique of integral assessment of the radio frequency electromagnetic background (EMB) intensity created by wireless information services is presented, based on the forecast of the average electromagnetic loading on area created by radiations of spatially distributed base stations and mobile terminal devices. This loading can be determined both on the basis of a direct estimate of the average total irradiation power of the Earth’s surface by base stations or the average total radiation power of terminal devices per unit of its area, and on the basis of an estimate of the average area traffic capacity and known parameters of equipment and topology of mobile communication networks. Expressions to estimate the conditional average levels of EMB generated by stationary and mobile components of mobile communication systems, and the results of calculations illustrating the processes of its generation by these systems in different frequency ranges with different average area traffic capacity and different sizes of service areas of base stations are given. These calculations confirm the real danger of an unacceptable decrease in the level of electromagnetic safety of the population and deterioration of the ecology of the habitat without the implementation of scientifically based restrictions on the characteristics of mobile communication systems and services.

Land Use Characteristics of Commuter Rail Station Areas and Their Impact on Station Ridership: A Case Study of Japan Railways in the Tokyo Metropolitan Area

Exploring the relationship between land use characteristics and ridership in railway station areas provides crucial decision-making support for station area planning. Previous research has mostly focused on subways, with a lack of studies on the land use characteristics and ridership of commuter rail stations, particularly in relation to the differences and impacts across various passenger catchment areas (PCAs). This study employed a multinomial logit model to evaluate the land use characteristics within 1000 m of Japan Railways (JR) stations in four different PCAs of the Tokyo metropolitan area (TMA). Additionally, regression models and a multiscale geographically weighted regression (MGWR) model were used to analyze how land use characteristics in these PCAs affected station ridership. The key findings were as follows: (1) the land use characteristics around commuter rail stations exhibit distinct zonal patterns; within 250 m, public transport stops and public service facilities are the most densely concentrated; the highest residential population density is found between 250 and 750 m; and commercial facilities are mostly clustered in the 500 to 750 m range; (2) the impact of land use factors on ridership varies in intensity across different spatial zones; the density of public transport stops and street network density is most significant within 250 m, whereas commercial facility density is greatest within the 500–750 m PCA; (3) The land use characteristics within 500 m of stations have greater explanatory power for passenger flow, and the goodness of fit of the MGWR model surpasses that of the linear regression model.

The relationship between indoor airborne culturable bacteria with passenger flow in 132 traffic stations during 2019–2020, China

This study aims to provide technical support for the development of a rational administration strategy for indoor environment and passenger flow of stations. The analysis was conducted monitor data of long distance bus stations and train/high speed railway stations from the National project. The monitor and surveyed data included indoor airborne culturable bacteria (IAB), passenger flow, area and height of stations. Data analysis involved the use of paired non-parametric tests, correlation analysis, and mixed linear regression methods. A total of 132 pairs of stations were examined in this study. Additionally, significant variations were observed in the monitoring results for the IAB and passenger flow between 2019 and 2020 (p < 0.05). Specifically, the median values of these two factors in 2020 decreased by 50.52% and 48.33%, respectively, compared to 2019. (p < 0.05). A positive relationship between the daily average passenger flow and the IAB in long distance bus stations and train stations, particularly pronounced with medium sized waiting rooms, which located in subtropical cities with a general level of economic development. The mixed effect regression analysis revealed a significant association between passenger flow (OR = 1.564, 1.288–1.898), per capita volume (OR = 0.856, 0.733–0.998), and per capita area (OR = 0.806, 0.678–0.956) with the IAB (p < 0.05) just in long distance bus stations. It is crucial to regulate passenger flow and per capita area in the waiting room of long distance bus stations to mitigate the spread of airborne culturable bacteria during infectious disease epidemics.

The effects of TOD on economic vitality in the post-COVID-19 era

With the changes in people's spatial cognitions, preferences and behavior patterns as a response to the COVID-19 pandemic crisis, the way transit-oriented development (TOD) boosts economic vitality has enormously altered. Hence, this study employs machine learning methods to explore the effects of TOD on economic vitality under COVID-19 and recalibrate existing TOD planning models and design principles. Based on multi-source data of Hong Kong, it measures economic vitality of MTR station areas with life service reviews and depicts built environment therein from three dimensions including node, tie, and place. It discovers that (1) the outbreak of COVID-19 impaired the economic vitality effects of TOD; (2) the global relative importance of MTR station centrality and ground space index declined during the outbreak and bounced back afterwards, meanwhile, that of street centrality, street betweenness, street detour ratio, and green space coverage increased and that of bus density, MTR station betweenness, and average building height decreased; (3) the economic vitality effects of TOD were nonlinear, and the threshold values and effective ranges of built environment variables remained constant across the time; (4) the economic vitality effects of TOD were moderated by the pandemic. This study enlightens urban policymakers and practitioners with nuanced criteria for pandemic-adaptive TOD planning and design strategies.

Identifying walkability factors for urban metro station areas toward transit-oriented development

ABSTRACT Despite significant efforts to enhance accessibility to transportation facilities and transit-oriented development (TOD), the rapid expansion of cities has hindered improvements in citizens’ access to transportation facilities. This study addresses these challenges by aiming to delineate key factors pertaining to access distance that facilitate successful station area development and to identify areas requiring enhancements in public transport access. To measure accessibility and the factors affecting it, various types of mobility and demographic data, including transit fare card data, residential and workplace population density, and the count of bus stops and metro lines, were used to assess access distance characteristics. Findings indicate that bus stops within 500m of metro stations tend to have more bus stops within a 500m radius and lower residential population within a 100m radius, compared to stations with access distances exceeding 500m. Bus stops in the 500m range outnumber those beyond 500m, and their associated residential and workplace population densities are lower. Considering the number of bus stops as well, stations indicating access distances exceeding 500m are relatively scarce in public transportation, indicating lower public transportation accessibility. Therefore, this study suggests that when developing station areas within urban centres, priority should be given to areas where subway station population density is high but distributed over a wide area and the number of bus stops within the station area is low. These findings on the walkability quality factors and considerations to assess the walkability will be a great reference to the policy decision makers to prioritize TOD areas.

How does shared mobility impact metro-based urban commercial travel accessibility and Equity?

The integration of shared mobility services, such as bike-sharing and ride-hailing services, with metro systems enhances the effectiveness and convenience of urban mobility. Various transportation modes significantly impact the accessibility and equity of commercial travel for the purpose of shopping, entertainment, tourism, and catering, due to the diversity of options, destinations, and origins. This study, based on the primary urban regions of Chengdu in 2023, employs the Gaussian two-step floating catchment area model, Gini Index, and Lorenz curve to examine the effects of shared mobility on the accessibility pattern and spatial equity of commercial services. It shows that the bike-sharing-metro travel mode enhances overall commercial accessibility, whereas the ride-hailing-metro travel mode has a substantial impact on accessibility distribution. Additionally, the commercial accessibility distribution pertains to the arrangement of commercial establishments in short-distance travel, whereas it exhibits a central hub and peripheral locations for long-distance travel. While the equity of commercial services improves effectively, metro transportation remains situated at the core of the transportation mode. The creation of the metro transit-oriented development should thoroughly assess the impact of shared mobility on the station area and prioritize the equilibrium between urban commercial and residential sectors.

Relationship Between Spatial Form, Functional Distribution, and Vitality of Railway Station Areas Under Station-City Synergetic Development: A Case Study of Four Special-Grade Stations in Beijing

The integration of railway stations into urban environments necessitates a detailed examination of their vitality and influencing factors. This study assesses urban vitality around four major railway stations in Beijing utilizing a variety of analytical models including Ordinary Least Squares, Geographically Weighted Regression, Multi-Scale Geographically Weighted Regression, and machine learning approaches such as XGBoost 2.0.3, Random Forest 1.4.1.post1, and LightGBM 4.3.0. These analyses are grounded in Baidu heatmaps and examine relationships with spatial form, functional distribution, and spatial configuration. The results indicate significant associations between urban vitality and variables such as commercial density, average number of floors, integration, residential density, and housing prices, particularly in predicting weekday vitality. The MGWR model demonstrates enhanced fit and robustness, explaining 84.8% of the variability in vitality, while the Random Forest model displays the highest stability among the machine learning options, accounting for 76.9% of vitality variation. The integration of SHAP values with MGWR coefficients identifies commercial density as the most critical predictor, with the average number of floors and residential density also being key. These findings offer important insights for spatial planning in areas surrounding railway stations.

Description of Trichophoromyia macrisae, a new phlebotomine sand fly species (Diptera: Psychodidae) from Manu Biosphere Reserve, Peru.

Phlebotomine sand flies are a highly diverse group of insects capable of transmitting Leishmania parasites. Therefore, the identification of vector species is important to understand local leishmaniasis dynamics. Among the Neotropical sand fly species, the genus Trichophoromyia is predominantly found in the Amazon. A new species of this genus, Trichophoromyia macrisae sp. nov., is described. Specimens were collected using Katchy light traps in forested areas of Manu Biological Station, located within the Manu Biosphere Reserve, in southern Peru. Morphological description was based on 10 male specimens. The disposition of setae in the gonocoxite and the shape of the paramere allows Th. macrisae sp. nov. to be distinguished from other species of genus that have aedeagal ducts > 4 times the length of the sperm pump. The description of Th. macrisae sp. nov. brings the number of species of Trichophoromyia in the Americas to 47 and in Peru to 15.

An improved k-means cluster method based on partial correlation coefficient for line-transformer connectivity identification in distribution network

Abstract The accurate identification of line-transformer connectivity of the distribution network is very important for load balancing and line loss management. The electric quantity data can be used to identify the relationship, but the recognition accuracy is limited. The essence of relation recognition is unsupervised classification, but as there is no direct center of mass and distance, the traditional mainstream clustering method cannot be applied. Therefore, this paper proposes an improved K-means clustering algorithm based on a partial correlation coefficient. Firstly, spectrum analysis is carried out for the collected power data of the distribution transformer and the 10 kV line, and the high-frequency component of the data is obtained by the high-pass filter. Then, the K-means clustering algorithm improved by the partial correlation coefficient is used to set the electric energy data of each line as the initial centroid. The correlation between the station area and the line is calculated by using the concept of the partial correlation coefficient, and the station area represented by the minimum line distance is assigned to the corresponding line. The results show that this method can improve the accuracy of linear relation identification based on electric quantity data.

Research on power flow calculation methods applicable to new energy generating station area

Abstract With the construction and development of new distribution networks, more and more new components such as distributed power supply and active loads have been connected to the new energy generation station area, posing new requirements for operational control in the new energy generation station area. However, the power supply and load coexist in the new energy generation station area, with both single-phase and three-phase, significant power fluctuations, inaccurate calculation parameters, and incomplete measurement information. Therefore, achieving accurate and efficient calculations plays an important role. This article proposes a power flow calculation method suitable for new energy generation station areas. Firstly, the three parts of this method are explained: overall scheme, stationary correction link, and generalized scene mapping; Secondly, the correctness and applicability of this method were verified through simulation.

Built Environment’s Non-Linear Impact on Subway Passenger Flow Through Improved Interpretable Machine Learning

Understanding the complex correlation between the built environment and subway passenger flow can provide unique insights for the development of transportation operations and urban coordination policies. Few studies have systematically analyzed the rationality of selecting built environment variables and further explored the non-linear relationships. In this study, we integrated various sources of built environmental factors and developed an interpretable machine learning analysis framework using backward elimination extreme gradient boosting and SHapley Additive exPlanations (SHAP) values analysis (BE-XGBoost-SHAP). The framework was validated by analyzing passenger flows during the morning peak, non-peak, and evening peak periods at the station level. The research results indicate that there are significant differences between built environment factors and the time-varying passenger flow. Land use characteristics significantly dominate across all three temporal periods. The importance of other variable types in relation to passenger flows varies significantly across the three time periods. It is worth noting that the relationships between all variables and passenger flow at different time periods are non-linear, with the majority displaying threshold effects. Compared with the gradient boosting decision tree (GBDT) and ordinary least squares (OLS) models, the proposed interpretive framework performs better as regards R-square, root mean square error (RMSE), and mean absolute error (MAE) metrics. This study offers valuable insights, elucidating the pivotal land use attributes that notably affect passenger flow, the significance of varied built environment factors across distinct time spans, and the acknowledgment of non-linearities and threshold effects within these relationships. These findings are imperative for urban planning and the enhancement of station area design.

IPA Analysis and optimization of pedestrian environment at railway stations in Guangdong-Hong Kong and Macao: An example of six typical stations

Due to the increasing urbanization and growing regional integration, the Guangdong-Hong Kong-Macao Greater Bay Area is progressively transforming into a globally recognized metropolitan cluster. Rail transit is an effective and eco-friendly kind of public transport that plays a crucial role in fostering regional economic connections and facilitating people's movement. It has become the primary option for inhabitants when it comes to travelling. This study examines the influence of the walking environment's quality on passenger travel experience (the overall satisfaction and comfort felt by passengers when walking in a rail station area), station attractiveness (the degree of attractiveness of a rail station to passengers, which is usually determined by a combination of a number of factors, such as accessibility, safety, and interest of the station area) , and the overall livability of the city (the overall quality of life that a rail station area provides to Residents, including the quality of the environment, infrastructure, public services) . It does so by analyzing the walking environments of six representative rail transit stations in the Guangdong-Hong Kong-Macao Greater Bay Area, using the Walking Demand Hierarchy Theory as a basis. The study employed the IPA model to evaluate 20 crucial characteristics of the pedestrian environment. The findings revealed variations in the performance of different stations with regard to accessibility, safety, identification, functionality, and enjoyment. The differences provide a reference point for further optimizing the pedestrian environment in the Greater Bay Area rail station areas.

Improving the catchment area identification for suburban railway stations by incorporating whole-journey-based mode choices and unevenly distributed population

Suburban railways have emerged as a predominant transport mode for suburbanization development in megacities. Enhancing transit-oriented development (TOD) in the catchment area of suburban railway stations is an essential strategy. To improve the catchment area identification, we proposed a method for delineating the catchment areas of suburban railway stations from the whole journey perspective and under a multi-mode access travel system. The grey distance delay (GDD) model was constructed to determine the catchment area. A case study was used to illustrate the applicability and advantages of our proposed method in metropolitan areas worldwide. The results indicated that the acceptable access distances vary greatly across access travel modes and are affected by the main travel in the suburban railway at the same time. The range of the catchment areas of bicycle and bus is larger than that of urban rail transit, and the strength of attraction of bicycle and bus shows a trend of increasing at first and then decreasing. Each access travel mode has its competitive advantage area, and these travel modes jointly serve the access trip within the suburban rail catchment area through a competition and cooperation relationship. These findings are able to enhance the identification of the catchment area and provide insights for suburban TOD and transport planning.

Orbit Determination Method for BDS-3 MEO Satellites Based on Multi-Source Observation Links

Research on augmentation and supplement systems for navigation systems has become a significant aspect in comprehensive positioning, navigation and timing (PNT) studies. The BeiDou-3 navigation satellite system (BDS-3) has constructed a dynamic inter-satellite network to gain more observation data than ground monitoring stations. Low Earth orbit (LEO) satellites have advantages in their kinematic velocity and information carrying rate and can be used as satellite-based monitoring stations for navigation satellites to make up for the distribution limitation of ground monitoring stations. This study constructs multi-source observation links with satellite-to-ground, inter-satellite and satellite-based observation data, proposes an orbit synchronization method for navigation satellites and LEO satellites and verifies the influence thereof on orbit accuracy with different observation data. The experimental results under conditions of real and simulated observation data showed the following: (1) With the support of satellite-based observation links, the orbit accuracy of the BDS-3 MEO satellites could be improved significantly, with a 78% improvement with the simulation data and a 76% improvement with the real data. When the navigation satellites leave the monitoring area of the ground monitoring stations, the accuracy reduction tendency of the orbit prediction could also be slowed down with the support of the LEO satellites and the accuracy could be maintained within centimeters. (2) Comparing the orbit accuracy with the support of the satellite-to-ground observation links, the orbit accuracy of the MEO satellites could be improved by 65.5%, 73.7% and 79.4% with the support of the 6, 12 and 60 LEO satellites, respectively. When the observation geometry and the covering multiplicity meet the basic requirement of orbit determination, the improvements to the orbit accuracy decrease with the growth of LEO satellite numbers. (3) The accuracy of orbit determination with the support of the LEO satellites or the inter-satellite links was at the centimeter level for both, verifying that inter-satellite links and satellite-based links can be used as each other’s backups for navigation satellites. (4) The accuracy of orbit determination with the multi-source observation links was also at the centimeter level, which was not better than the results with the support of the satellite-to-ground and inter-satellite links or the satellite-to-ground and satellite-based links.

Beyond half-mile circle: Measuring the impact of subway expansion on home-based travels in Beijing, China

Subways play an important role in supporting travel needs, yet whether the benefits of subway expansion can justify the substantial investments remains a much-debated question. Existing studies have arbitrarily defined the catchment area of a subway station using walking distance and have disproportionately focused on commuting trips, potentially underestimating broader subway effects. To address these limitations, this study employed the distance-band approach to accurately define the treatment area of subway stations while incorporating both local and network effects. Based on longitudinal mobile signaling data, we used the difference-in-differences approach to estimate the average treatment effects of 32 new subway stations on different types of home-based travels in Beijing, China. We found that the opening of new subway stations has led to significant increases in subway usage, trip duration, and trip distance within a 2000-m radius, and that commuting trips have been more affected than home-based non-commuting trips, except during the COVID-19 pandemic. Moreover, the new subway stations also enhanced the connectivity of the city-wide network, influencing the travel behavior of residents in the vicinity of existing subway stations. We further found that subway expansion is particularly beneficial for women, younger residents, and residents of low-rent neighborhoods. According to these findings, planning new subway stations in Beijing and other densely populated megacities requires an integrated approach that considers the relationships between the existing transport network and diverse travel demand.

Evaluate user satisfaction for urban design of railway station areas: An assessment framework using agent-based simulation

AimsRailway station areas can play a crucial role in promoting sustainable development if integrated with cities and be fluctuation-responsive through effective urban design. However, during the design stage, assessing the station areas' performance, of which user satisfaction is indicative, is challenging due to methodological limitations. Agent-based simulation (ABS) is promising as it can link spatial features with agents' behavior features. This research questions to what extent ABS can help assess the urban design of station areas. MethodsThis paper adopts the user pyramid as the theoretical framework, which outlines five types of user needs: safety, speed, ease, comfort, and experience. The paper selects indicators linking satisfaction and spatial features at the district and building levels. These indicators are measured in the simulation of the station system using digital tools, including MassMotion and Python scripts. The theory, indicators, and tools, in combination, serve as an assessment framework. Rotterdam Central Station is used as a case to demonstrate how the framework works. ResultsThe framework is capable of assessing design alternatives by identifying changes in user satisfaction. It can be applied on the district level (at a scale of 250 m) with substantial details to inform design decision-making, and it is useful during the design stage when only limited data is available. This paper strengthens the scientific knowledge of railway station areas through the multidisciplinary literature review that translates user needs for urban design use, and it advances the digital means to visualize user satisfaction affected by design.

Numerical simulation on the prevention and control of landslide-induced wave disasters in Wangjiashan landslide area of Baihetan reservoir

The risk management of landslide surges after water storage in large reservoirs is a major challenge in reservoir management. The water storage in the reservoir area of the Baihetan hydropower station on the Jinsha River brings the potential of Wangjiashan landslide activation. This paper proposes a mitigation measurement based on slope cutting for the Wangjiashan landslide and evaluates the feasibility and effectiveness of the management scheme through numerical simulation. Results indicate that when water storage is in a normal level, after an earthquake, the landslide will impact the Baihetan Reservoir with a maximum velocity of 8.52 m/s, generating waves with a maximum wave height of 15.63 m. By removing the upper part of the landslide, the volume of the landslide is reduced from 611 × 10 4 m 3 to 369 × 10 4 m 3 , it will cut down the maximum wave height in the Xiangbiling residential area to 3.09 m, which significantly reduces the risk of landslide surge waves. It further establishes a disaster prevention and control plan for the landslide-induced wave disaster. Overall, this study provides important theoretical and practical references for the risk management of landslide surge waves and offers valuable insights for addressing similar issues in the future.

A UAV Thermal Imaging Format Conversion System and Its Application in Mosaic Surface Microthermal Environment Analysis.

UAV thermal infrared remote sensing technology, with its high flexibility and high temporal and spatial resolution, is crucial for understanding surface microthermal environments. Despite DJI Drones' industry-leading position, the JPG format of their thermal images limits direct image stitching and further analysis, hindering their broad application. To address this, a format conversion system, ThermoSwitcher, was developed for DJI thermal JPG images, and this system was applied to surface microthermal environment analysis, taking two regions with various local zones in Nanjing as the research area. The results showed that ThermoSwitcher can quickly and losslessly convert thermal JPG images to the Geotiff format, which is further convenient for producing image mosaics and for local temperature extraction. The results also indicated significant heterogeneity in the study area's temperature distribution, with high temperatures concentrated on sunlit artificial surfaces, and low temperatures corresponding to building shadows, dense vegetation, and water areas. The temperature distribution and change rates in different local zones were significantly influenced by surface cover type, material thermal properties, vegetation coverage, and building layout. Higher temperature change rates were observed in high-rise building and subway station areas, while lower rates were noted in water and vegetation-covered areas. Additionally, comparing the temperature distribution before and after image stitching revealed that the stitching process affected the temperature uniformity to some extent. The described format conversion system significantly enhances preprocessing efficiency, promoting advancements in drone remote sensing and refined surface microthermal environment research.

Optimization scheduling strategy for flexible interconnected distribution network considering transformer offline

Based on the flexible interconnection technology with intelligent soft open point (SOP), new opportunities have arisen to address issues such as complex power flow and uneven load rates in existing distribution networks. However, most existing research focuses on load balancing strategies and N-1 fault tolerance, without fully considering the impact of flexible access and offline of distribution transformers on the losses in the distribution network. Therefore, this paper analyzes the impact of structural adjustments to the distribution transformer interconnection system on the comprehensive losses of the distribution network, and concludes that under low-load conditions, the offline of lightly loaded transformers optimizes the comprehensive losses of the distribution network. However, the offline of lightly loaded transformers leads to an increase in the remaining transformer load rates in the distribution station areas. To address this shortfall, this paper proposes an optimization scheduling strategy for flexible interconnected distribution networks considering transformer offline, by simultaneously utilizing shared energy storage on the DC side to balance transformer load rates and minimize losses. Finally, case studies based on an IEEE 18-node interconnected system are conducted to validate the proposed approach under two different scenarios. The results demonstrate that the proposed control strategy outperforms existing strategies by optimizing the comprehensive losses of the system, thereby enhancing its operational economy and reliability.

Main contents and revision direction of the Urban Complex Development Act

The Act on Support for Urban Complex Development was enacted and promulgated on February 6, 2024. It is scheduled to take effect on February 7, 2025. This new law encourages private project implementers to actively participate in urban complex development, unlike the urban public housing complex project (under the public housing special law) that was introduced in accordance with the government’s plan to drastically expand the supply of 3080+ publicly led metropolitan housing announced on February 4, 2021. The urban public housing complex project is a system designed to establish a new business model for station areas, semi-industrial areas, and low-rise residential areas that are underutilized and aging because of difficulties with redevelopment and reconstruction projects. Public institutions have become project implementers instead of existing cooperative-centered redevelopment and reconstruction projects. The urban public housing complex project is a development project that utilizes comprehensive acquisition (including land expropriation) to quickly promote the project and supply new buildings in the form of compensation in kind if the landowner so desires. However, the complex development project introduced in the Act on Support for Urban Complex Development differs significantly from the plan described above in that the private sector, including landowners, trustees, and real estate investment trusts (REITs), become the main project implementers, promoting the project by utilizing management, disposal plans, and sales claims. In this article, I examine the concept and characteristics of complex development projects, procedures, and special provisions for these projects and identify problems and revision directions for relevant laws. Since complex development projects utilize management, disposal plans, and sales claims as business methodsand the project target is an urban area with a high concentration of old and substandardbuildings, I describe such projects by comparing them with the provisions of the Urban and Housing Environment Improvement Act, which regulates redevelopment and reconstruction projects. Finally, I suggest that necessary actions to smoothly implement complex development projects include securing differentiation from other development projects, supplementing specific provisions on REITs as the newly introduced project implementers, and improving the sales claim system and consent rate centered on land area.