Evacuation Transport Provision Design Using Network Analysis with GIS Support

As complicated network systems, drainage pipeline networks play an influential role for urban environment and safety. Planning, management, maintenance and emergency-response of drainage pipeline network require a series of professional analysis tools, which are closely related to the spatial modality and spatial distribution. From this prospective, GIS provides necessary technical support for the drainage pipeline network analysis. This paper designs a drainage pipeline network analysis platform based on GIS support. It adopts the Drainage Data-Center core technique to integrate and manage drainage-related data resource. It also integrates a drainage pipeline network analysis algorithm library. And based on this algorithm library many professional function plug-ins are implemented and support supervisor's drainage network analysis tasks. Drainage network analysis is based on data stored in different professional system databases, and the analysis platform takes the drainage Data-Center as an embedded system to effectively organize the multi-source heterogeneous data. The drainage Data-Center defines a uniform data access interface based on unified resource locator (a formatted character string). Depending on urban basic topographic data and drainage network data, and through data resource searching and locating, the drainage Data-Center effectively integrates the operation data of public utility departments from pump stations, water quality monitors, users' contracts, the user hotline, etc. The difficulty of using heterogeneous and distributed data is overcome to provide data support and thus an ideal data environment is built for drainage network analysis. Based on algorithms provided in the GIS foundational software such as shortest path analysis, connectivity component analysis, upstream/downstream trace and buffer analysis, we build an algorithm library including professional drainage-oriented algorithms for drainage path analysis, calculation of the pumping station impact area, pollution tracking, accident processing, etc. As another basis of analysis, a drainage pipeline network water level model is constructed using DEM model and water level data from pipeline monitors. The professional algorithm library and the water level model provide decision making support for the drainage analysis, and also form an integrated application environment along with the drainage Data-Center. Based on this application environment, the drainage pipeline network analysis platform realizes various modules such as drainage network design, decision-making for floods, mobile inspection and maintenance, user management and analysis, incident handling and management. This platform follows the SOA criterion and focuses on the openness and interoperability of the functions and results of analysis. It supports access through personal terminals, internet, and embedded device. Supervisors can to extend its functions by customizing, assembling and developing to meet needs of different levels. This platform can provide a scientific basis for drainage network planning and reconstructing, improve the efficiency of emergency responds, and advance the level of daily operations such as inspection and maintenance, and hence ensure progress of urban environment and social development.

GIS Stream Network Analysis for Huaihe River Basin of China

The significant gap between supply and demand of flexible and comfortable public transport within cities in the lower-income countries encourages the opportunity for the private sector to provide a ride-hailing service. Since its introduction in 2010, the ride-hailing service has continued to grow and has shaped urban mobility in the past twenty years. Due to the growth of ride-hailing services, some concerns arise regarding their contribution to the increasing traffic volume and the increased dependency on smaller-capacity vehicles in citizen mobility. This study aims to: 1) analyze the travel patterns of ride-hailing users based on their mobility needs; 2) analyze the relationship between travel characteristics and users’ socio-economic background and travel characteristics; 3) analyze the implication of ride-hailing users in shaping Makassar’s urban mobility. This study focused on the city of Makassar as the case study. The data in this study was obtained from an online survey of ride-hailing users with 270 samples. Several approaches are used for the analysis, i.e., descriptive statistics, spatial analysis, and network analysis. The result shows that 1) Most of the ride-hailing users are young generation (Gen Z). They perform a short-distance trip daily (internal trip within the district). 2) Regardless of the users’ age, income, and private vehicle ownership, ease of service is the foremost preference of the users since it is application-based and can be accessed using a smartphone. Door-to-door service is also one of the advantages provided by ride-hailing services.

Transport provision in remote territories is one of the most important factors in maintaining the sustainability of socio-economic and ecological systems. Indigenous peoples of Siberia have always been mobile using diverse traditional ways across the taiga. During the Soviet period, the transition to settled life, along with technological development and the emergence of new modes of transport, such as off-road cars, snowmobiles, and motor boats, significantly affected the level of population mobility, including remote areas where people are engaged in traditional nature management. With the collapse of the Soviet Union, there were significant changes and reductions in the subsidies of transportation systems for remote terrains that made them isolated. Transport connectivity has been realized through rare plane flights (once a month or less) or by cars on dirt roads (actually off-road) that take several days of travel. Siberian territories rich with natural resources, low population density, and weak infrastructure might be attractive for mining companies. Being difficult to access not only for the local population, but also for industrial companies, the territories imply the allocation of a significant share of road construction and transport costs in the cost items of miners and processors. The problems of sustainability and resilience of the indigenous peoples of Siberia require special attention when restructuring transport communications, but they have practically not been studied before. Methods of in-depth and group interviews with local residents were used. Based on comparative geographic and statistical analysis and generalization of data, network and problem approaches applied for various sources and field materials (including in-depth and group interviews), the factors of sustainability and resilience, which the indigenous communities of three remote Siberian territories pin their hopes on in the context of the transformation of transportation infrastructure, have been identified. If geographic remoteness remains an unchanged fact, the expansion of desired transport accessibility (mainly due to investments by industrial companies) is associated by locals with the possibility of additional income related to provision of services, the emergence of new types of employment of the population that have not been observed before, and the implementation of new transport modes to support traditional activities.

Understanding the configuration of bus networks in urban China from the perspective of network types and administrative division effect

Transportation disadvantaged (TD) populations, which include elderly people, people with disabilities, and people who do not own a vehicle, face mobility challenges because alternative transportation services are limited. To identify specific transportation service gaps for TD populations, an assessment of both transportation demand and transportation accessibility is necessary. Previous studies have focused on a single aspect of transportation accessibility or on studying geographic transportation gaps at the state or county level. This study develops a methodology aimed at identifying TD populations with major gaps in alternative transportation services. Using spatial overlays and network analysis, we develop a model for calculating transportation supply through a comprehensive transportation accessibility measure that considers relevant trip destinations and three alternative transportation services: public transportation, on-demand services, and taxi services. Gaps in service are identified by overlaying the TD population demand volume with transportation accessibility. The resulting supply–demand matrix highlights transportation deficient areas and populations, based on overlays of high demand and low supply. We apply this methodology to Alachua County, Florida. Results expose areas of deficiency, some in unexpected places. The findings highlight the need to assess alternative transportation for TD populations, to determine gaps to be addressed to improve TD populations’ mobility and reduce personal auto trips and related traffic injuries. This method can guide policy makers in fostering equitable transportation provision across users.

Urban parks and public transport are indispensable elements of a compact megacity for their environmental and social values. However, few measures of urban park accessibility have considered the public transport travel mode. Based on the framework of geographic information systems (GIS) network analysis, this study proposes an innovative method to incorporate public transport travel mode into urban park accessibility evaluations. Taking Shanghai, China, as the study area, we measured home to park and park from home travel times on multi-modal transport networks, calculated the accessibilities by multiple equations, and compared accessibilities for different districts. These methods extend current accessibility measures by calculating accessibility at a realistic level, and provide a measure of public transport service for urban parks. The results for Shanghai show that approximately 99.95% of home to park routes might include public transport. The distribution of home to park public transport accessibility of the city was uneven. The patches with best accessibility tend to be distributed in the built-up area in the city centre. Public transport access to urban parks is inhomogeneous for different districts, because of urban park locations, road network characteristics, and uneven public transport supply. The distribution of park from home public transport accessibility has no significant correlation with district development stage. Public transport service in Shanghai takes no account of the factors of park star rating or size. Positive actions are required to improve the equity of public transport access to the important public health resources of urban parks.

The transportation system is considered the most important element of urban infrastructure and therefore, contemporary urban research precise more emphasis on the well-managed sustainable transport system. Accessibility and connectivity are two important tools regarding urban mobility, trip generation and modal choice as well as transportation management. The assessment of transport suitability is now the central part of transport management. From these perspectives, this study has been focused on the patterns of urban mobility and modal choice on the basis of transport accessibility and suitability. The Jamshedpur city and five adjoining urban areas are selected for assessment. The GIS-based accessibility modeling and network analysis have been used in this study. Moreover, the empirical field survey has also been made for the assessment of trip generation in selected nodes. Therefore, the analytic hierarchy process (AHP) was applied to assess the nature and patterns of trip occurrences and content validity ratio (CVR) and consistency ratio (CR) were used for validation. Furthermore, transport suitability index (TSI) in the different traffic zones were measured. The result shows that Jamshedpur is the most suitable in existing transportation supply–demand system as well as sustainable transportation management.

Transport provision in remote territories is one of the most important factors in maintaining the sustainability of socio-economic and ecological systems. Indigenous peoples of Siberia have always been mobile using diverse traditional ways across the taiga. During the Soviet period, the transition to settled life, along with technological development and the emergence of new modes of transport, such as off-road cars, snowmobiles, and motor boats, significantly affected the level of population mobility, including remote areas where people are engaged in traditional nature management. With the collapse of the Soviet Union, there were significant changes and reductions in the subsidies of transportation systems for remote terrains that made them isolated. Transport connectivity has been realized through rare plane flights (once a month or less) or by cars on dirt roads (actually off-road) that take several days of travel. Siberian territories rich with natural resources, low population density, and weak infrastructure might be attractive for mining companies. Being difficult to access not only for the local population, but also for industrial companies, the territories imply the allocation of a significant share of road construction and transport costs in the cost items of miners and processors. The problems of sustainability and resilience of the indigenous peoples of Siberia require special attention when restructuring transport communications, but they have practically not been studied before. Methods of in-depth and group interviews with local residents were used. Based on comparative geographic and statistical analysis and generalization of data, network and problem approaches applied for various sources and field materials (including in-depth and group interviews), the factors of sustainability and resilience, which the indigenous communities of three remote Siberian territories pin their hopes on in the context of the transformation of transportation infrastructure, have been identified. If geographic remoteness remains an unchanged fact, the expansion of desired transport accessibility (mainly due to investments by industrial companies) is associated by locals with the possibility of additional income related to provision of services, the emergence of new types of employment of the population that have not been observed before, and the implementation of new transport modes to support traditional activities.

Market initiative and central planning: A study of the Moscow bus network

This study examines the balance between urban transportation security and supply chain efficiency amid global disruptions like the COVID-19 pandemic, attacks on maritime lanes, and geopolitical conflicts. The authors combine bibliometric network analysis and natural language processing (NLP) to review scholarly literature from 2017 to 2023. This approach identifies and visualizes evolving thematic trends. Findings reveal a shift towards integrating advanced technologies, such as blockchain, AI, and IoT, to enhance security without compromising efficiency. This study highlights the significance of integrating urban planning principles and sustainable practices to enhance transportation security and supply chain efficiency within urban environments. Actionable insights for policymakers and supply chain managers emphasize the adoption of integrated, technology-driven security solutions to foster resilient and sustainable supply chains. This research contributes to academic discourse by refining the understanding of evolving priorities in transportation security and supply chain management, offering both theoretical and practical implications for secure and efficient global supply chains.

Galois's algebraic structure and bipartite graph spatio-structural analytics for urban public transportation system assessment

The equity of transport accessibility is a prerequisite for sustainable development targets, especially in the ecologically fragile area of the Tibetan Plateau (also known as the Qinghai-Tibet Plateau). The relationship between transportation supply and social demand has become a key element of socioeconomic development and environmental protection in agricultural and pastoral areas. Based on data from transportation networks, permanent populations and the economy, this study uses a network analysis model, the coefficient of variation and the Gini coefficient to construct an index of social demand in townships and analyse the equity of transport accessibility on the Tibetan Plateau between 1980 and 2017; the principle of geographic distribution and the spatial relationship between transport accessibility and social demand at the township scale are also discussed. This study finds the following: the development of transportation has improved accessibility on the Tibetan Plateau, creating a highly accessible region with important cities as the nodes and major traffic arteries as the axes; both the coefficient of variation of transport accessibility and the Gini coefficient have increased slightly; and the equity of transport accessibility among townships on the Tibetan Plateau has exhibited a downward trend. Further, the social demand index is doubling every ten years, the spatial distribution has regional characteristics, and a decrease in permanent populations is the main reason for declining social demand index scores among townships. Townships with the lowest and highest social demand index scores for transportation development enjoy greater transportation benefits; there is a significant spatial relationship between social demand and location conditions (potential accessibility); the aggregation of social demand and accessibility types follows specific geographical distribution principles; and the Mangya-Gongshan Line delineates the distribution characteristics of township clusters with low social demand and low accessibility.

Combinatorial connectivity and spectral graph analytics for urban public transportation system

This study identifies the stakeholders of coastal marine tourism (CMT) and their structural patterns of relationships using theories of network structure. While the network analysis examines the relational aspects, content analysis gained through interviews and focus group discussions were used to understand the specific issues of CMT. The Thousand Islands as one of the priority destinations set up by the Indonesian Ministry of Tourism was chosen as the case study. The overall network graph confirms that CMT in the Thousand Islands is a community-based tourism surrounded mostly by government institutions. Marine transportation organisations are mainly located within the inner circle. Using modularity, the network splits into three clusters, delivering a more in-depth network structure of the CMT. Practical implications of the study are for policy makers to improve stakeholder cooperation to address issues related to the management of marine transportation, water and energy supplies, innovation in natural and cultural attractions and greater development of human resources.