Analysis of the influence of urban built environment on pedestrian flow in an intermediate-sized city in the Andes of Ecuador

Hermida, Carla; Cordero, Manuela; Orellana, Daniel

doi:10.1080/15568318.2018.1514445

Cited by 18 publications

(14 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, other studies in Latin America have also found negative or null association of residential density with pedestrian counts at the street level (e.g. Hermida et al., 2019; Rodríguez, Brisson and Estupiñán, 2009); hence, they might indicate geographic or cultural specificities in active mobility in Latin American cities that must be further studied. Finally, another important finding was related to the slope.…”

Section: Discussionmentioning

confidence: 92%

See 1 more Smart Citation

Exploring the influence of road network structure on the spatial behaviour of cyclists using crowdsourced data

Orellana

Guerrero

2019

Environment and Planning B: Urban Analytics and City Science

Self Cite

View full text Add to dashboard Cite

This study explores the effect of the spatial configuration of street networks on movement patterns of users of a cycling monitoring app, employing crowdsourced information from OpenStreetMap and Strava Metro. Choice and Integration measures from Space Syntax were used to analyse the street network's configuration for different radiuses. Multiple linear regression models were fitted to explore the influence of these measures on cycling activity at the street segment level after controlling other variables such as land use, household density, socioeconomic status, and cycling infrastructure. The variation of such influence for different time periods (weekday vs. weekend) and trip purposes (commuting vs. sports) was also analysed. The results show a positive significant association between normalised angular choice (NACH) and cycling activity. Although the final regression model explained 5.5% of the log-likelihood of the intercept model, it represents an important improvement compared with the base (control-only) model (3.8%). The incidence rate ratio of NACH's Z scores was 1.63, implying that for an increase of one standard deviation of NACH, there is an expected increment of about 63% in the total cyclist counts while keeping all other variables the same. These results are of interest for researchers, practitioners, and urban planners, since the inclusion of Space Syntax measures derived from available public data can improve movement behaviour modelling and cycling infrastructure planning and design.

show abstract

Section: Discussionmentioning

confidence: 92%

“…However, some studies in Latin American cities have found negative or no association between residential density and the number of pedestrians at street level (e.g. Hermida et al., 2019; Rodríguez, Brisson and Estupiñán, 2009). Land use mixture showed higher significance for commuting activity weekdays .…”

Section: Resultsmentioning

confidence: 99%

Exploring the influence of road network structure on the spatial behaviour of cyclists using crowdsourced data

Orellana

Guerrero

2019

Environment and Planning B: Urban Analytics and City Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…The author contributed with studies on the effect of the spatial configuration of the street networks on the mobility of the users of bicycles through a tracking application, using information from the multiple sources of OpenStreetMap and Strava Metro. Furthermore, Hermida et al [46] conducted studies on the influence of the built urban environment on the pedestrian flow in the intermediate Latin American city, Cuenca, Ecuador. The author analyzed how the physical and spatial characteristics of the streets, sidewalks, land use conditions, and occupation influence the number of pedestrians.…”

Section: Case Studymentioning

confidence: 99%

Mapping the Catchment Area of Park and Ride Facilities within Urban Environments

Ortega

Tóth

Péter

2020

IJGI

View full text Add to dashboard Cite

A Park and Ride (P & R) system is a set of facilities located throughout an urban area that can serve as transfer points for travelers that would like to utilize their private vehicles for one part of their journey and a more sustainable transport mode, such as public transport, for another part of the same journey. The catchment area of the facilities is identified as a fundamental element for planning a P & R system. It can be assumed to be accurately represented by several geometric shapes, such as a circle or a parabola. In that regard, a method denominated as the parabola method can be used to visualize those geometric shapes on digital maps of an urban environment. It can be implemented as a software program that integrates the variables that represent the elements of the P & R system as well as the set of equations that are used in a geographic information system (GIS) software. A significant aspect of how the parabola method is applied is its orientation as a shape, which is traditionally configured in respect to the area of major business activity or central business districts (CBDs). In fact, the research presented in this article aims to provide a new approach to the parabola’s orientation to study the P & R system’s catchment area by proposing the parabola’s orientation according to the primary access that potential users used to reach the facility. A case study that portrays the application of our method is given that is focused on the medium-sized city of Cuenca, Ecuador, where we determine which approach to the parabola’s orientation is the most suitable. In conclusion, the second approach proposed in this research reflects in a more realistic form the operation of the catchment area of the P & R system, considering a better distribution of the coverage area of the P & R system in the urban environment.

show abstract

Section: Case Studymentioning

confidence: 99%

“…The author made a significant contribution to the study on the impact of the public space, including its street networks and bike users' mobility. Hermida et al [58] have also published research on the effect of the building design on mobility. Nevertheless, few studies have been performed for users who come in a private car from outside the metropolitan area regularly and decide to travel to the city center in a more convenient transport mode like the LRT.…”

Section: Case Studymentioning

confidence: 99%

Using Best Worst Method for Sustainable Park and Ride Facility Location

et al. 2020

View full text Add to dashboard Cite

The Park and Ride (P&R) system is a set of facilities available to private vehicle users to transfer to public transportation in order to complete their journey. The location of the facilities is determined by the purpose for which they have been created, for example, to reduce traffic in the central business district (CBD), reduce pollution, or increase the use of public transportation. Thus, a set of six main criteria and 19 sub-criteria are considered that are particularly important for decision-makers about the location of P&R facilities in a city. In order to identify which criteria are relevant, a method belonging to the multiple criteria decision is needed. The central point of this study is to evaluate the problem of the location of the facilities of the P&R system according to the point of view of the experts. For this aim, the Best Worst Method (BWM) is adopted to estimate the location of the facilities of the P&R system. The questionnaire survey has been designed estimated by ten transport experts in the related field. The recently created BWM was conducted. The results highlighted that “accessibility of public transportation” is the most important aspect of the problem of the location of P&R facilities. The results obtained provide greater accuracy in the location of facilities problem than the pure analytic hierarchy process method (AHP).

show abstract

Analysis of the influence of urban built environment on pedestrian flow in an intermediate-sized city in the Andes of Ecuador

Cited by 18 publications

References 36 publications

Exploring the influence of road network structure on the spatial behaviour of cyclists using crowdsourced data

Exploring the influence of road network structure on the spatial behaviour of cyclists using crowdsourced data

Mapping the Catchment Area of Park and Ride Facilities within Urban Environments

Using Best Worst Method for Sustainable Park and Ride Facility Location

Contact Info

Product

Resources

About