scholarly journals A Methodology to Evaluate Accessibility to Bus Stops as a Contribution to Improve Sustainability in Urban Mobility

2019 ◽  
Vol 11 (3) ◽  
pp. 803 ◽  
Author(s):  
Maria Corazza ◽  
Nicola Favaretto
Keyword(s):  
Multicriteria Analysis ◽  
Urban Mobility ◽  
Mobility Patterns ◽  
Sustainable Mobility ◽  
Urban Network ◽  
Bus Stop ◽  
Final Score ◽  
Advanced Knowledge ◽  
Bus Stops

Walking and transit are the backbone of sustainable mobility. Bus stops not only represent the connection between the two, but are also central in dictating the attractiveness of the latter. Accessibility of bus stops becomes, then, pivotal in increasing both attractiveness and sustainability of public transport. The paper describes a multi-step methodology to evaluate bus stops’ accessibility starting from a cluster of seven indicators describing objective and subjective features influencing passengers’ choice toward a given bus stop. The indicators are weighed by a questionnaire submitted to experts. Finally, a multicriteria analysis is developed to obtain a final score describing univocally the accessibility of each stop. Outcomes are mapped and a case study in Rome is reported as an example, with 231 bus and tram stops assessed accordingly. Results shows the relevance of the urban network and environment in evaluating the accessibility and in promoting more sustainable mobility patterns. Research innovation relies on the possibility to merge data from different fields into a specific GIS map and easily highlight for each bus stop the relationships between built environment, passengers’ comfort, and accessibility, with the concluding goal to provide advanced knowledge for further applications.

scholarly journals Use of the Sustainable Mobility Efficiency Index (SMEI) for Enhancing the Sustainable Urban Mobility in Greek Cities

2021 ◽  
Vol 13 (4) ◽  
pp. 1709
Author(s):  
Maria Morfoulaki ◽  
Jason Papathanasiou
Keyword(s):  
Multicriteria Analysis ◽  
Efficiency Index ◽  
Urban Mobility ◽  
Specific Procedure ◽  
Sustainable Mobility ◽  
European Cities ◽  
Step Procedure ◽  
Directorate General ◽  
Alternative Measures ◽  
Sustainable Urban Mobility

Since 2013, the European cities have been encouraged to develop local Sustainable Urban Mobility Plans (SUMPs) according to the specific procedure that was launched by the Directorate-General for Mobility and Transport (DG Move) and updated in 2019. One of the most critical steps in this 12-step procedure is the assessment—with specific criteria—of all the alternative measures and infrastructure, which will be optimally combined, in order to better satisfy the problems and the achieve the vision of each area. The aim of the current work is to present the development and implementation of a methodological framework based on the use of multicriteria analysis. The framework targets the capturing of opinions of the relevant local experts in order to evaluate alternative sustainable mobility measures, and also prioritize them using the Sustainable Mobility Efficiency Index (SMEI).

scholarly journals “Mobility as a Service” Platforms: A Critical Path towards Increasing the Sustainability of Transportation Systems

2020 ◽  
Vol 12 (16) ◽  
pp. 6368 ◽  
Author(s):  
Carlos Oliveira Cruz ◽  
Joaquim Miranda Sarmento
Keyword(s):  
Business Models ◽  
Critical Path ◽  
Traditional Approach ◽  
Ghg Emissions ◽  
Transportation Systems ◽  
Urban Mobility ◽  
Mobility Patterns ◽  
Home Work ◽  
The Internet Of Things

Urban mobility is experiencing a profound change. Mobility patterns are becoming more complex, and typical home–work–home travel is no longer the rule, as journeys tend to connect multiple points in a rather inconstant pattern. This has changed the approach to transport planning. Existing transportation planning and operation approaches have been focussed on the ability to identify and forecast typical home–work/school–home travel and subsequently plan the transport system accordingly. The traditional approach has been: Forecast - > plan - > deliver. New mobility patterns and mobility solutions are characterised by greater flexibility, taking advantage of the “sharing concept” and simultaneously providing solutions that have lower greenhouse gas (GHG) emissions. These dynamics and an evolving environment raise several new challenges at different levels, fostering the development of Mobility-as-a-Service (MaaS). This system transforms the physical transportation system into a commodity and takes advantage of the internet of things (IoT). However, the onset of MaaS solutions is anything but linear. Several business models have emerged, with different partners originating from different industries (e.g., technological, transport operators, infrastructure managers, etc.) developing their own solutions, often in competition with others. It is not unusual to find different MaaS solutions in the same city, which integrate different solutions. This paper intends to provide an analysis on the main challenges affecting mobility in general, and MaaS in particular, as well as the main business models used for delivering MaaS solutions. The paper uses a case study in Lisbon to illustrate some of the challenges.

scholarly journals A Circuity Temporal Analysis of Urban Street Networks Using Open Data: A Lisbon Case Study

2021 ◽  
Vol 10 (7) ◽  
pp. 453
Author(s):  
Miguel Costa ◽  
Manuel Marques ◽  
Filipe Moura
Keyword(s):  
Urban Space ◽  
Open Data ◽  
Temporal Analysis ◽  
Sustainable Mobility ◽  
Urban Network ◽  
Urban Street ◽  
Street Networks ◽  
Lack Of Information ◽  
Straight Line

Urban street networks impact urban space usage and movement across a city. Circuity, the ratio of network distances to straight-line distances, is considered a critical measurement in urban network morphology and transportation efficiency as it can measure the attractiveness of routes in terms of distance traveled. Here, we compare circuity measures for drivable, cyclable, and walkable networks to analyze how they evolved and understand whether urban changes have produced meaningful circuity changes. Our analyses rely on Lisbon data from OpenStreetMaps to explore circuity for the period 2013–2020, which we used to simulate 4.8 million routes using OpenRouteService to compute the different modes’ circuity measures. Our findings suggest that it is crucial to analyze each transport network type separately when planning or modeling urban street networks. Their composition and design differ significantly from mode to mode, such as their attractiveness to users. We identify significant changes in modes’ circuity over time, especially in cycling, following Lisbon’s cycling infrastructure expansion. Our paper demonstrates that the circuity indicator is useful when planning and modeling street networks, in particular, to optimize the location choice for interventions required to increase the attractiveness of active modes and promote sustainable mobility. At the same time, we emphasize the lack of information on walking infrastructures required for more detailed analyses.

scholarly journals Multicriteria decision making approach as a tool for street network re-design in the city of Bitola, North Macedonia

2019 ◽  
Vol 65 (2) ◽  
pp. 1-5
Author(s):  
Jasmina Bunevska Talevska ◽  
Marija Malenkovska Todorova
Keyword(s):  
Urban Form ◽  
Smart Cities ◽  
Multicriteria Decision Making ◽  
Assessment Procedure ◽  
Urban Mobility ◽  
Urban Network ◽  
Sustainable Urban Mobility ◽  
Pedestrian Crossing ◽  
The City

The current urban planning principles are based on the renewal and use of the cities’ available potentials, with the aim of their sustainable urban mobility development. Today, according to the literature, there is no doubt that urban reconstruction is a much better direction for the development of smart cities since numerous challenges threaten the ability of cities to become viable pillars of sustainable development. The main objective of this paper is to adopt recently developed methodology for the analysis and selection of pedestrian crossing types on the case study location example regarding first phase on sustainable urban mobility plan development for the Municipality of Bitola, North Macedonia, as well as to underline the principles and assessment procedure for the re-design of urban network in Bitola as a sustainable urban form.

Using social media to characterize urban mobility patterns: State-of-the-art survey and case-study

2017 ◽  
Vol 1 ◽  
pp. 56-69 ◽  
Author(s):  
Matteo Manca ◽  
Ludovico Boratto ◽  
Victor Morell Roman ◽  
Oriol Martori i Gallissà ◽  
Andreas Kaltenbrunner
Keyword(s):  
Social Media ◽  
State Of The Art ◽  
Urban Mobility ◽  
Mobility Patterns

scholarly journals Spatiotemporal Analysis of Urban Mobility Using Aggregate Mobile Phone Derived Presence and Demographic Data: A Case Study in the City of Rome, Italy

Data ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 8 ◽  
Author(s):  
Claudio Gariazzo ◽  
Armando Pelliccioni ◽  
Maria Paola Bogliolo
Keyword(s):  
Mobile Phone ◽  
Census Data ◽  
Demographic Data ◽  
Driving Mechanism ◽  
Urban Mobility ◽  
Mobility Patterns ◽  
Time Pattern ◽  
Driving Mechanisms ◽  
The City

Urban mobility is known to have a relevant impact on work related car accidents especially during commuting. It is characterized by highly dynamic spatial–temporal variability. There are open questions about the size of this phenomenon; its spatial, temporal, and demographic characteristics; and driving mechanisms. A case study is here presented for the city of Rome, Italy. High-resolution population presence and demographic data, derived from mobile phone traffic, were used. Hourly profiles of a defined mobility factor (NPM) were calculated for a gridded domain during working days and cluster analyzed to obtain mean diurnal NPM mobility patterns. Age distributions of the population were calculated from demographic data to get insight in the type of population involved in mobility, and spatially linked with the mobility patterns. Census data about production units and their employees were related with the classified NPM mobility patterns. Seven different NPM mobility patterns were identified and mapped over the study area. The mobility slightly deviates from the census-based demography (0.15 on average, in a range of 0 to 1). The number of employees per 100 inhabitants was found to be the main driving mechanism of mobility. Finally, contributions of people employed in different economic macrocategories were assigned to each mobility time-pattern. Results provide a deeper knowledge of urban dynamics and their driving mechanisms in Rome.

WiFi Scanner Technologies for Obtaining Travel Data about Circulator Bus Passengers: Case Study in Obuse, Nagano Prefecture, Japan

2018 ◽  
Vol 2672 (45) ◽  
pp. 45-54 ◽  
Author(s):  
Arief Hidayat ◽  
Shintaro Terabe ◽  
Hideki Yaginuma
Keyword(s):  
Smart Cards ◽  
Raw Data ◽  
Nagano Prefecture ◽  
Bus Stop ◽  
Bus Stops

Recently, a variety of technologies, such as the development of Bluetooth, WiFi, and smart cards, have been used to investigate the movements of passengers or vehicles. This study describes the use of a WiFi scanner that was installed on a bus and circulated around the bus’s route 14 times. The method presented here involves the use of WiFi and GPS to analyze passengers’ movements while the bus is running and while stopped at a bus stop. Nine steps were used to derive travel data from the raw data to estimate the number of movements of the passengers. The results of this study describe the travel data collected between bus stops no. 1 and no. 9 and compare the observer data with the WiFi data.

scholarly journals Urban mobility and resilience: exploring Boston’s urban mobility network through twitter data

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Sahar Mirzaee ◽  
Qi Wang
Keyword(s):  
Human Mobility ◽  
Social Characteristics ◽  
Strong Impact ◽  
Urban Mobility ◽  
Mobility Patterns ◽  
Multinomial Regression ◽  
Urban Resilience ◽  
Urban Network ◽  
Urban Networks ◽  
Twitter Data

Abstract Human mobility connects urban dwellers and neighborhoods and impacts social equity. An in-depth understanding of human mobility helps to enhance urban resilience. However, limited research has focused on mobility resilience. Building on previous research, this study looks at the neighborhood connectivity enabled by urban mobility. We analyze the aggregated mobility patterns in Boston through the coupling of network structure and social characteristics. Geocoded twitter data combined with socioeconomic datasets were used to create a mobility-based urban network. Through the quantitative analysis, we found that the social segregation in Boston shapes its mobility network. Network communities identified by the Louvain modularity algorithm are often self-containing, meaning that their residents are more likely to move within their communities. A multinomial regression reveals that spatial racial and income segregation has a strong impact on the dynamic segregation of the network. The beneficial network characteristics –e.g. higher density and well-connected motifs– are less present in areas with bolder presence of minorities. Thus, the resilience state is not equitable among neighborhoods of different income levels and races, indicating that the resilience measures of urban networks need to be adapted according to sociodemographic characteristics.

scholarly journals Visualizing the structure of urban mobility with bundling: A case study of the city of São Paulo

2020 ◽  
Author(s):  
Tallys Gustavo Martins ◽  
Nelson Lago ◽  
Higor Amario De Souza ◽  
Eduardo Felipe Zambom Santana ◽  
Alexandru Telea ◽  
...  
Keyword(s):  
Sao Paulo ◽  
Decision Making Process ◽  
São Paulo ◽  
Urban Mobility ◽  
Mobility Patterns ◽  
Public Managers ◽  
Mobility Data ◽  
The City ◽  
Algorithm Scalability

Visualization of urban mobility data can facilitate the analysis and the decision-making process by public managers. However, mobility datasets tend to be very large and pose several challenges to the use of visualization, such as algorithm scalability and data occlusion. One approach to solve this problem is trail bundling, which groups motion trails that are spatially close in a simplified representation. This paper presents the results of adapting and using a recent bundling technique on a big dataset of urban mobility in São Paulo. The results show that bundling allows the visualization of various mobility patterns in the city.

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