Pedestrian Environment Quality Assessment in Portuguese Medium-Sized Cities

Sousa, Adriana; Santos, Bertha; Gonçalves, Jorge

doi:10.1088/1757-899x/471/6/062033

Cited by 7 publications

(2 citation statements)

References 4 publications

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“…Quantification of mobility through walkability indexes can also be considered in detection (Amoroso et al, 2012;COEH, 2011;Sousa et al, 2019;Tribby et al, 2016). Temporal analysis may reveal repeatedly and disproportionately burdened areas.…”

Section: Discussionmentioning

confidence: 99%

Automatic Mapping of Physical Urban Problems Using Remotely Sensed Imagery

Lempesis

2023

International Journal of E-Planning Research

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While big cities are expected to exercise cost-effective, evidence-based planning, many are under reactive management, facing simultaneous problems and limited resources. This project develops a proof-of-concept workflow for the automatic monitoring of physical urban problems by combining remote sensing for detection and cartography for visualization. The example problem treated was the obstructive parking of vehicles on pavements as proxy for restricted urban mobility. Nine aerial images of UK urban areas were processed by a deep learning object detector of standard cars, achieving an F-score of 70.72%. Two large scale map reports of 200m wide areas were produced, featuring car detections and overlaps with topographic mapping features. Complementary analysis included the calculation of total detection window overlap per roadside pavement and its change with time. The proposed method combines uniform city-wide coverage with fast interpretation and can inspire the development of professional urban planning tools.

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Section: Discussionmentioning

confidence: 99%

Automatic Mapping of Physical Urban Problems Using Remotely Sensed Imagery

Lempesis

2023

International Journal of E-Planning Research

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“…Since 2017, the Department of Civil Engineering and Architecture of the University of Beira Interior has developed, under the Master and Doctorate Programs in Civil Engineering and Master Program in Geographic Information Systems, several studies aiming at the definition of an evaluation process to assess the cycling and pedestrian suitability of urban road networks [91][92][93][94][95].…”

Section: Methodsmentioning

confidence: 99%

Spatial Multi-Criteria Analysis for Road Segment Cycling Suitability Assessment

et al. 2022

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The shift to low-emission mobility, embedded in a growing need for sustainable development, makes soft modes a highly promoted transport alternative in national and international mobility policies. Soft mobility modes, especially cycling, is an alternative capable of reversing the trend of private car use in urban areas, being one of the main strategies of Sustainable Urban Mobility Plans (SUMP). Several factors can influence travel mode choice, between them, demographic, economic, land use, travel distance and time, and climatic and physical factors are the most reported in the literature. This study presents a framework of the main European cycling strategies and focuses on the development of a methodological approach to assess the cycling suitability of existing road networks. The approach is based on a spatial multi-criteria analysis that combines population density, trip generation points service areas and road characteristics (hierarchy and slope). Consideration of the topography was particularly relevant in the cycling suitability model definition. The model was tested in the hillside city of Covilhã (Portugal) and compared with the recently planned and implemented city cycling network. The main conclusions point to the adequacy, flexibility, and applicability of the proposed model by municipalities, contributing to a more sustainable urban environment and healthier communities. Results obtained in the Covilhã case study also denote the possibility of implementing cycling mobility in hillside cities, especially using e-bikes. For future works, an expansion of the approach is proposed to include a detailed and sustained cycling network definition model and a process to assess cycling routes hierarchy/solutions.

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