Mapping Walking Interviews in a Gentrifying Port City Neighborhood through Space-Time Paths

With the improvement of urbanization in China, urban renewal has become the main way to meet the increasing demand of residents for urban space and facilities. In this context, this study takes “sense of place” as the theoretical starting point, takes Shaoguan Century-old East Street as the case, and constructs a relationship model between local residents’ sense of place and their willingness to support urban business district reconstruction from a multiscale perspective. By introducing community concern as a mediating variable, this study uses a structural equation model to analyze the influence of residents’ sense of place, including place attachment and place identity, on their intention to support commercial district reconstruction. The results show that residents’ sense of place is significantly different on the scales of block, community, and urban area, and the difference is only in place attachment, not in place identity. Second, the enhancement of residents’ sense of place can not only directly strengthen their willingness to support the renovation of commercial areas, but indirectly improve their willingness to support the renovation of urban commercial areas by enhancing their attention to the community. The conclusion of this study is of great significance to promote the regeneration of historical and cultural blocks and the process of urban renewal.

Time geography considers that the motion of moving objects can be expressed using space–time paths. The existing time geography methods construct space-time paths using discrete trajectory points of a moving point object to characterize its motion patterns. However, these methods are not suitable for moving polygon objects distributed by point sets. In this study, we took a type of crime event as the moving object and extracted its representative point at each moment, using the median center to downscale the polygon objects distributed by the point sets into point objects with timestamps. On this basis, space–time paths were generated by connecting the representative points at adjacent moments to extend the application scope of space–time paths, representing the motion feature from point objects to polygon objects. For the case of the City of London, we constructed a space–time path containing 13 nodes for each crime type (n = 14). Then, each edge of the space–time paths was considered as a monthly vector, which was analyzed statistically from two dimensions of direction and norm, respectively. The results showed that crime events mainly shifted to the east and west, and crime displacement was the greatest in April. Therefore, space–time paths as proposed in this study can characterize spatiotemporal trends of polygon objects (e.g., crime events) distributed by point sets, and police can achieve improved success by implementing targeted crime prevention measures according to the spatiotemporal characteristics of different crime types.

Several modern inventions and innovations are associated with the Crimean War. One of them is the electrical telegraph. In 1855, the French and the English built telegraph lines linking the headquarters of their armies on the Crimean Peninsula with the seats of the two governments – in Paris and London. The lines passed through Varna – the main port city on the Western Black Sea coast, and point of departure of the allies for the Crimean Peninsula. Although it might sound strange, it was the war that “brought” the telegraph – the most modern means of communication of the time, to the Balkans and in the Ottoman Empire. And this happened very soon after its use became widespread in the rest of Europe. Undoubtedly, the construction of the electrical telegraph in the area of combat operations during the Crimean War was a chapter in the modernization of the Balkans and the Western Black Sea coast. Based on documents, the chapter presents the construction of the telegraph in the Balkans, the Black sea area and the Crimean Peninsula during the war.

Time geography is a constraints‐oriented approach to understanding human activities. Time geography highlights the necessary (though not sufficient) spatial and temporal conditions required for human activities. It also provides an elegant framework for incorporating these conditions into individualistic and ecological analyses and models of human behavior. Two central concepts in time geography are the space–time path and prism. The path represents actual mobility (real or simulated) and the prism represents potential mobility in space with respect to time. Developed as a conceptual framework in the 1960s by Torsten Hägerstrand, analytical time geography has emerged in response to growing capabilities to collect and analyze data on mobile objects and human activities. There is a rich collection of measures and procedures for analyzing space–time paths and prisms in planar space, constrained by networks and through velocity fields. There are also methods for representing virtual interaction via information and communication technologies. Emerging are methods for mobility data mining and knowledge discovery.

Exploratory data analysis of activity diary data: a space–time GIS approach

Exploring the evolution of people’s social interactions along with their changing physical locations can help to achieve a better understanding of the processes that generate the relationships between physical distance and social interactions, which can benefit broad fields of study related to social networks. However, few studies have examined the evolving relationships between physical movements and social closeness evolution. This is partially related to the shortage of longitudinal data in both physical locations and social interactions and the lack of an exploratory analysis environment capable of effectively investigating such a process over space and time. With the increasing availability of sociospatiotemporal data in recent years, it is now feasible to examine the relationships between physical separation and social interactions at the individual level in a space–time context. This research was intended to offer a spatiotemporal exploratory analysis approach to address this challenge. The first step was to propose the concept of a social closeness space–time path, which is an extension of the space–time path concept in time geography, to represent evolving human relationships in a social closeness space. A space–time geographical information system (GIS) prototype was then designed to support the representation and analysis of space–time paths in both physical and social closeness spaces. Finally, the effectiveness of the proposed concept and design in gaining insight into the impact of physical migration on online social closeness was demonstrated through an empirical study. The contributions of this study include an extension of the time–geographic framework from physical space to social closeness space, the development of a multirepresentation approach in a GIS to integrate an individual’s space–time paths in both physical and social closeness spaces, and an exploratory analysis of the evolving relationships between physical separation and social closeness over time.

Hägerstrand's time geography is a powerful conceptual framework for understanding constraints on human activity participation in space and time. However, rigorous, analytical definitions of basic time geography entities and relationships do not exist. This limits abilities to make statements about error and uncertainty in time geographic measurement and analysis. It also compromises comparison among different time geographic analyses and the development of standard time geographic computational tools. The time geographic measurement theory in this article consists of analytical formulations for basic time geography entities and relations, specifically, the space–time path, prism, composite path‐prisms, stations, bundling, and intersections. The definitions have arbitrary spatial and temporal resolutions and are explicit with respect to informational assumptions: there are clear distinctions between measured and inferred components of each entity or relation. They are also general ton‐dimensional space rather than the strict two‐dimensional space of classical time geography. Algebraic solutions are available for one or two spatial dimensions, while numeric (but tractable) solutions are required for some entities and relations in higher dimensional space.

As everyday activities are increasingly carried out at least in part through digitally mediated remote interaction, researchers interested in the complex relationships between urban activities, spaces, and travel are running up against the limits of familiar forms of time geography. This paper argues that because information and communication technologies (ICTs) are loosening the traditionally close links between activity, place, and time, physicalist models such as the space–time path and prism of time geography may need to be reexamined in light of the new realities. An important part of these new realities is the fact that virtual communications depend on specific kinds of material means (computers and mobile phones, in particular). These now compete with and complement a fundamentally different kind of material means (of physical transportation) which have traditionally been at the basis of time-geographic analyses. The paper proposes a novel conceptual framework for time geography, whereby people's space–time behavior is modeled not just in a three-dimensional space but in a multidimensional space. The framework amounts to a primitive domain ontology for conceptualizing human activity in an ICT-rich world, and can naturally accommodate activity in cyberspace as well as in physical space. The objectives are: (1) to expand our ability to understand activities in space and time in the age of ICT by explicitly representing choices of means (here, transportation-related and communication-related means) to serve specific ends: to be most useful, this should be done within the same model that also tracks people's spatiotemporal trajectories; (2) more specifically, to improve our ability to represent and analyze the increasing variety of activities carried out with the help of ICT as these relate to time and place, and (3) to do so in a way that conserves the power of traditional time geography and is practical enough to be implemented. A few simple examples are discussed and illustrated with the help of parallel coordinates plots.

Time geography was conceptualized in the 1960s when the technology was very different from what we have today. Conventional time-geographic concepts therefore were developed with a focus on human activities and interactions in physical space. We now live in a smart, connected, and dynamic world with human activities and interactions increasingly taking place in virtual space enabled by modern information and communications technology. Coupled with recent advances in sensing and mobile technologies, it is now feasible to collect human dynamics data in both physical and virtual spaces with unprecedented spatial and temporal details in the so-called Big Data era. The Big Data era brings both opportunities and challenges to time geography. While the unprecedented data collected in the Big Data era can serve as useful data sources to time-geographic research, we also notice that some classical concepts in time geography are insufficient to properly handle human dynamics in today’s hybrid physical–virtual world in many cases. This paper first discusses the evolving human dynamics enabled by technological advances to illustrate different types of hybrid physical–virtual space performed through internet applications, digital twins, and augmented reality/virtual reality/metaverse. We then review the classical time-geographic concepts of constraints, space–time path, space–time prism, bundle, project/situation, and diorama in a hybrid physical–virtual world to discuss potential extensions of some classical time-geographic concepts to bolster human dynamics research in today’s hybrid physical–virtual world.

In recent years, great regard has been given to the participation of various administrative organizations, NPOs and local residents in coastal zone management. Following the formulation of the “Canal Renaissance Project (Tokyo Metropolitan Gov. Bureau of Port and Harbor, 2005)” as a step towards easing restrictions to vitalize canal spaces in the Tokyo waterfront area, local organizations are developing commercial and recreational uses of canal spaces. In this report, we have conducted field research and hearings with managers and business people in five regions of the Tokyo waterfront where the Canal Renaissance Project is being implemented. Through this research, we have observed the usage conditions of the canal spaces and how multiple organizations cooperate with each other, and attempt to identify problems associated with the use of canal spaces by local organizations. The results show that eased regulations on water area usage permissions have created new opportunities for local businesses, store associations and NPOs to utilize canals. By establishing floating restaurants and floating piers, waterfront areas have been developed with consideration for the spatial structure and surrounding area of canals in each region. We have observed a large variety of interactions between organizations and groups, and the establishment of a system centered on a committee made up of local businesses and residents in each region. However, we have also noted that due to the strong individuality of the projects carried out in each region, they have not lead to any inter-regional cooperation, thus not necessarily successfully utilizing the inherent spatial continuity of the canals. There have also been examples of complication of the committees that connect the local residents involved in the projects and the government. This is an issue in the management and operation of canal usage. From the aforementioned results, it is clear that the projects observed in canal usage under the eased regulations are organized such that they are directly carried out by committees, in a so-called “committee-based model.” There is no “local coordinator” present to handle the tasks of reconciling opinions between project leaders, applying for water area usage permission, maintenance of facilities, acceptance of new participants, and the like.

Fine-grained analysis on fuel-consumption and emission from vehicles trace

Estimating the most likely space–time paths, dwell times and path uncertainties from vehicle trajectory data: A time geographic method

Water journeys: Household water insecurity, health risks, and embodiment in slums and informal settlements

The energy consumption and emissions from vehicles adversely affect human health and urban sustainability. Analysis of GPS big data collected from vehicles can provide useful insights about the quantity and distribution of such energy consumption and emissions. Previous studies, which estimated fuel consumption/emissions from traffic based on GPS sampled data, have not sufficiently considered vehicle activities and may have led to erroneous estimations. By adopting the analytical construct of the space-time path in time geography, this study proposes methods that more accurately estimate and visualize vehicle energy consumption/emissions based on analysis of vehicles’ mobile activities (MA) and stationary activities (SA). First, we build space-time paths of individual vehicles, extract moving parameters, and identify MA and SA from each space-time path segment (STPS). Then we present an N-Dimensional framework for estimating and visualizing fuel consumption/emissions. For each STPS, fuel consumption, hot emissions, and cold start emissions are estimated based on activity type, i.e., MA, SA with engine-on and SA with engine-off. In the case study, fuel consumption and emissions of a single vehicle and a road network are estimated and visualized with GPS data. The estimation accuracy of the proposed approach is 88.6%. We also analyze the types of activities that produced fuel consumption on each road segment to explore the patterns and mechanisms of fuel consumption in the study area. The results not only show the effectiveness of the proposed approaches in estimating fuel consumption/emissions but also indicate their advantages for uncovering the relationships between fuel consumption and vehicles’ activities in road networks.

The Musicians’ Mutual Aid Society of Valparaiso was active from 1893 to well into the twentieth century in what was then Chile’s main port city. In this article, I will examine the characteristics of this social organization of Chilean musicians during the late nineteenth and early twentieth centuries, and its relationship to the rising labor movement. Moreover, I will report some relevant findings based on a range of archival material. To conclude, I will discuss the role of the Mutual Aid Society of Valparaiso as a forerunner to the creation of the country’s first Musicians’ Union in 1931.