Connectivity Benefits of Small Zero-Emission Autonomous Ferries in Urban Mobility—Case of the Coastal City of Gdańsk (Poland)

An increase in energy-efficient transportation is one way that cities try to mitigate climate change. In coastal cities, public water transit is also undergoing transitions. A small zero-emission autonomous ferry seems to be a cutting-edge technology in this field. This study aims to decrease the knowledge gap in research on the impacts of autonomous passenger ferry development on urban mobility. In particular, the central theme regards the extent to which the new transport solution can help improve sustainable mobility patterns. This study explores the local spatial context of ferry development, land-use patterns, and transport network structure, and moderates the shift in urban mobility practices. Regarding land use patterns, the case of the coastal city of Gdańsk has been documented in secondary qualitative and quantitative data, including in a large body of policy documents, accompanying expert opinions, and scholarly literature. This study strongly emphasises that a typical short river crossing, due to autonomous vessels, can regain a competitive position, which was partially lost due to linear routes along the river. The research identified crucial benefits of autonomous ferry shipping on urban mobility by increasing public transport network connectivity, reducing travel distance, and creating modal shifts towards foot travel and bike riding. It appears as an exciting scalable solution for cities where limited or dispersed demand prevents achievement of economies of scale, therefore diminishing the necessary expenditures.

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Mobility nodes and economic spaces: Links, tensions and planning implications

Journal of Transport and Land Use ◽

10.5198/jtlu.2019.1478 ◽

2019 ◽

Vol 12 (1) ◽

Author(s):

Redento Bolivar Recio ◽

Sonia Roitman ◽

Iderlina Mateo-Babiano

Keyword(s):

Land Use ◽

Spatial Relations ◽

Public Spaces ◽

Small Scale ◽

Urban Mobility ◽

Land Use Patterns ◽

Use Patterns ◽

Metro Manila ◽

Mixed Land Use ◽

Informal Trading

While transport hubs function largely as mobility interchanges, they also serve as spaces of conflict and negotiation, particularly when informal livelihoods of poor populations take place in public spaces like streets and transport terminals. This condition poses challenges to urban planners and transport officials on how to promote inclusive cities without sacrificing urban mobility. We examine how informal trading has become embedded in the land-use patterns of Baclaran, a strategic transport hub in Metro Manila. Three factors emerge as critical in understanding how and why informal trading thrives in Baclaran: a) the presence of commuters as captive market; b) mixed land use and activity agglomeration; and c) multi-layered socio-spatial relations. Our empirical data also shows how normalized informal trading in a mobility node has triggered transport route diversion and supported the growth of small-scale informal transport.

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Changing Traditional Land use Patterns in the Great Himalayas: A Case Study of Lahaul Valley

Journal of Environmental Systems ◽

10.2190/6451-t2jn-0n11-r0j1 ◽

1996 ◽

Vol 25 (2) ◽

pp. 195-211 ◽

Cited By ~ 9

Author(s):

G. S. Singh ◽

S. C. Ram ◽

J. C. Kuniyal

Keyword(s):

Land Use ◽

Land Use Patterns ◽

Use Patterns ◽

Traditional Land Use

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Conducting “Siteless Survey”: Results from Coastal New England

North American Archaeologist ◽

10.2190/rxce-py1q-pr1e-93m5 ◽

1993 ◽

Vol 14 (1) ◽

pp. 25-42 ◽

Cited By ~ 1

Author(s):

Jordan E. Kerber

Keyword(s):

Land Use ◽

New England ◽

Rhode Island ◽

Careful Consideration ◽

Archaeological Survey ◽

Land Use Patterns ◽

Use Patterns ◽

Statistical Validity ◽

Survey Results ◽

Survey Strategy

Selecting an effective archaeological survey takes careful consideration given the interaction of several variables, such as the survey's goals, nature of the data base, and budget constraints. This article provides justification for a “siteless survey” using evidence from a project on Potowomut Neck in Rhode Island whose objective was not to locate sites but to examine the distribution and density of prehistoric remains to test an hypothesis related to land use patterns. The survey strategy, random walk, was chosen because it possessed the advantages of probabilistic testing, as well as the ease of locating sample units. The results were within the limits of statistical validity and were found unable to reject the hypothesis. “Siteless survey” may be successfully applied in similar contexts where the distribution and density of materials, as opposed to ambiguously defined sites, are sought as evidence of land use patterns, in particular, and human adaptation, in general.

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The effects of different land use patterns on the microclimate and ecosystem services in the agro-pastoral ecotone of Northern China

Ecological Indicators ◽

10.1016/j.ecolind.2019.105522 ◽

2019 ◽

Vol 106 ◽

pp. 105522 ◽

Cited By ~ 3

Author(s):

Yuejuan Yang ◽

Kun Wang

Keyword(s):

Land Use ◽

Ecosystem Services ◽

Northern China ◽

Land Use Patterns ◽

Use Patterns

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Modeling Community-Scale Natural Resource Use in a Transboundary Southern African Landscape: Integrating Remote Sensing and Participatory Mapping

Remote Sensing ◽

10.3390/rs13040631 ◽

2021 ◽

Vol 13 (4) ◽

pp. 631

Author(s):

Kyle D. Woodward ◽

Narcisa G. Pricope ◽

Forrest R. Stevens ◽

Andrea E. Gaughan ◽

Nicholas E. Kolarik ◽

...

Keyword(s):

Remote Sensing ◽

Land Use ◽

Resource Use ◽

Training Data ◽

Systems Science ◽

Participatory Mapping ◽

Land Use Patterns ◽

Modeling Framework ◽

Use Patterns ◽

Human Habitation

Remote sensing analyses focused on non-timber forest product (NTFP) collection and grazing are current research priorities of land systems science. However, mapping these particular land use patterns in rural heterogeneous landscapes is challenging because their potential signatures on the landscape cannot be positively identified without fine-scale land use data for validation. Using field-mapped resource areas and household survey data from participatory mapping research, we combined various Landsat-derived indices with ancillary data associated with human habitation to model the intensity of grazing and NTFP collection activities at 100-m spatial resolution. The study area is situated centrally within a transboundary southern African landscape that encompasses community-based organization (CBO) areas across three countries. We conducted four iterations of pixel-based random forest models, modifying the variable set to determine which of the covariates are most informative, using the best fit predictions to summarize and compare resource use intensity by resource type and across communities. Pixels within georeferenced, field-mapped resource areas were used as training data. All models had overall accuracies above 60% but those using proxies for human habitation were more robust, with overall accuracies above 90%. The contribution of Landsat data as utilized in our modeling framework was negligible, and further research must be conducted to extract greater value from Landsat or other optical remote sensing platforms to map these land use patterns at moderate resolution. We conclude that similar population proxy covariates should be included in future studies attempting to characterize communal resource use when traditional spectral signatures do not adequately capture resource use intensity alone. This study provides insights into modeling resource use activity when leveraging both remotely sensed data and proxies for human habitation in heterogeneous, spectrally mixed rural land areas.

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