ABSTRACT
Apart from the numerous social, economic, and environmental impacts of car dependence, the time people spend sitting in motorised vehicles has been identified as a sedentary behaviour that can negatively impact people's physical and psychological health. The climate breakdown and the COVID-19 pandemic have continued to expose the fragility and vulnerability of the urban environment and the imminent need for response, management, and radical re-thinking through innovation, especially within the transport sector. The incidence of the COVID-19 pandemic has also reiterated the need for urban centres to re-establish a sense of community, extend the benefits reaped from reduced motorised transport usage and boost small/medium-size businesses through the provision of active travel spaces. This paper investigates the role of pedestrian-focused intervention to encourage walking rather than car use for short-distance trips, within the context of the car-dependent small island state of Malta. The research includes the use of semi-structured interviews with a broad range of stakeholders to develop a virtual platform for citizen participation. The platform is an interactive space for participants to identify barriers that discourage walking and explore and evaluate options that encourage walking as a mode of transport. A discussion of preliminary findings sheds light on the impact of pedestrian interventions that encourage active travel and contribute policy-relevant outcomes based on the perceptions and direct feedback from citizens and stakeholders alike. © 2023 The Authors. Published by ELSEVIER B.V.
ABSTRACT
Further to a first benchmark study covering new mobility behaviours and their impact on the road infrastructure, carried out by the European Union Road Federation (ERF), the Confederation of International Contractor's Associations (CICA), the French Federation of Public Works (FNTP), the European Construction Industry federation (FIEC) and Routes de France in 2019-2020, the same group published a second study in September 2021. The objective of that second study was to give a picture of the impact of the crisis caused by the pandemic on the mobility and transport sectors in 11 European countries (Belgium, Croatia, Czech Republic, France, Germany, Italy, Netherlands, Poland, Spain, Sweden, United Kingdom) The approach was to compare the evolution of mobility before and after the emergence of the health crisis. In addition, it would analyse the way in which European countries have adapted their support for transport infrastructures, further to an analysis of National Recovery and Resilience Plans, based on the European Recovery Plan ("Next Generation EU"). Beyond the main trends observed and their impact on mobility patterns and habits, the group also made recommendations on the role of road in the global mobility framework and the necessary adaptation of the road transport infrastructure. © 2023 The Authors. Published by ELSEVIER B.V.
ABSTRACT
The city of Christchurch, New Zealand, incurred significant damage due to a series of earthquakes in 2010 and 2011. The city had, by the late 2010s, regained economic and social normalcy after a sustained period of rebuilding and economic recovery. Through the concerted rebuilding effort, a modern central business district (CBD) with redesigned infrastructure and amenities was developed. The Christchurch rebuild was underpinned by a commitment of urban planners to an open and connected city, including the use of innovative technologies to gather, use and share data. As was the case elsewhere, the COVID-19 pandemic brought about significant disruptions to social and economic life in Christchurch. Border closures, lockdowns, trading limitations and other restrictions on movement led to changes in traditional consumer behaviors and affected the retail sector's resilience. In this study, we used CBD pedestrian traffic data gathered from various locations to predict changes in retail spending and identify recovery implications through the lens of retail resilience. We found that the COVID-19 pandemic and its related lockdowns have driven a substantive change in the behavioral patterns of city users. The implications for resilient retail, sustainable policy and further research are explored. © 2023 by the authors.
ABSTRACT
The promotion of active transportation modes in urban areas is a key challenge towards the minimization of motor traffic externalities. After the COVID-19 outbreak, cities around the world started investing heavily in infrastructure for pedestrians and cyclists towards the enhancement of social distancing. However, infrastructure adequacy in the post COVID-19 era needs to be evaluated. Level of Service (LOS) as it is proposed by the Highway Capacity Manual (HCM) is the most common methodological tool to assess pedestrian facilities. Nonetheless, pedestrians' perceptions are more than needed especially in the post COVID-19 era. In this paper an online survey is conducted for the assessment of the main pedestrian facilities in the city of Thessaloniki, Greece. Respondents' sociodemographic characteristics, their social distancing perception as well as their travel habits after the COVID-19 outbreak are concerned. The main research goal is to reveal the most significant factors that affect pedestrians' perceived level of service (PLOS) using regression modeling. The results can shed light on respondents' perceptions about PLOS in the post COVID-19 era. Last, results can assist in policy making for the promotion of active transport modes in urban areas with respect to the current health recommendations for public spaces. © 2023 The Authors. Published by ELSEVIER B.V.
ABSTRACT
Apart from the numerous social, economic, and environmental impacts of car dependence, the time people spend sitting in motorised vehicles has been identified as a sedentary behaviour that can negatively impact people's physical and psychological health. The climate breakdown and the COVID-19 pandemic have continued to expose the fragility and vulnerability of the urban environment and the imminent need for response, management, and radical re-thinking through innovation, especially within the transport sector. The incidence of the COVID-19 pandemic has also reiterated the need for urban centres to re-establish a sense of community, extend the benefits reaped from reduced motorised transport usage and boost small/medium-size businesses through the provision of active travel spaces. This paper investigates the role of pedestrian-focused intervention to encourage walking rather than car use for short-distance trips, within the context of the car-dependent small island state of Malta. The research includes the use of semi-structured interviews with a broad range of stakeholders to develop a virtual platform for citizen participation. The platform is an interactive space for participants to identify barriers that discourage walking and explore and evaluate options that encourage walking as a mode of transport. A discussion of preliminary findings sheds light on the impact of pedestrian interventions that encourage active travel and contribute policy-relevant outcomes based on the perceptions and direct feedback from citizens and stakeholders alike. © 2023 The Authors. Published by ELSEVIER B.V.
ABSTRACT
Further to a first benchmark study covering new mobility behaviours and their impact on the road infrastructure, carried out by the European Union Road Federation (ERF), the Confederation of International Contractor's Associations (CICA), the French Federation of Public Works (FNTP), the European Construction Industry federation (FIEC) and Routes de France in 2019-2020, the same group published a second study in September 2021. The objective of that second study was to give a picture of the impact of the crisis caused by the pandemic on the mobility and transport sectors in 11 European countries (Belgium, Croatia, Czech Republic, France, Germany, Italy, Netherlands, Poland, Spain, Sweden, United Kingdom) The approach was to compare the evolution of mobility before and after the emergence of the health crisis. In addition, it would analyse the way in which European countries have adapted their support for transport infrastructures, further to an analysis of National Recovery and Resilience Plans, based on the European Recovery Plan ("Next Generation EU"). Beyond the main trends observed and their impact on mobility patterns and habits, the group also made recommendations on the role of road in the global mobility framework and the necessary adaptation of the road transport infrastructure. © 2023 The Authors. Published by ELSEVIER B.V.
ABSTRACT
Bikesharing is a popular transportation mode for people to commute, for leisurely travel, or for recreation purposes in their daily tasks. Throughout 2020, the COVID-19 pandemic had significant impacts on bikeshare usage in the United States. Previous studies show that the pandemic negatively affected bikeshare activity patterns. To examine the effects of the pandemic on bikeshare behavior across membership types, this study investigated trip volume-and trip duration patterns of both members and nonmembers of five bikeshare systems across the United States. The results showed that member ridership significantly decreased throughout the pandemic, but nonmember ridership tended to be stable. It was also found that trip durations increased across both groups throughout the pandemic. Additionally, inferences were made to determine the level of support for a reversion to prepandemic normality as the pandemic progressed and reopening occurred in phases. The findings from this study could benefit bikeshare agencies in developing postpandemic recovery strategies. © National Academy of Sciences: Transportation Research Board 2021.
ABSTRACT
The COVID-19 pandemic has dramatically altered people's travel behavior, in particular outdoor activities, including walking. Their behavior changes may have prolonged effects after the pandemic, and such changes vary by the context and are related to the characteristics of the built environment. But empirical studies about the relationships between pedestrians and the built environment during the pandemic are lacking. This study explores how COVID-19 and related travel restrictions have affected the relationship between pedestrian traffic volume and the built environment. We estimate daily pedestrian volumes for all signalized intersections in Salt Lake County, Utah, U.S.A., from pedestrian push-button log data between January 2019 and October 2020. Multilevel spatial filtering models show that the COVID-19 pandemic has altered the relationship between pedestrian traffic volume and the built environment. During the pandemic, the higher the number of COVID-19 cases, the less (or more negative) the effects of density, street connectivity, and destination accessibility on pedestrian volume being observed. The exception is access to urban parks, as it became more significant in increasing pedestrian activities during the pandemic. The models also highlight the negative impacts of the pandemic in economically disadvantaged areas. Our findings could help urban and transportation planners find effective interventions to promote active transportation and physical activity amid the global pandemic.
ABSTRACT
Since the pandemy, the carrying capacity of major railway stations has been restricted to respect the distance. In Asian metropolises, a tech-driven flow management system reinforces the surveillance of travellers and help the maintenance of a top affluence in station's buildings. In France, an attempt is made to space out travelers with less intrusive processes, such as signage and boarding protocol adaptation. A comparison between these two responses leads us to question what physical distancing does, here and there, to the practices and places of transit and to the economic injonction to densify flows in and around stations until now. Articulating the approaches of crowding science and health regulation in transit environments, the article presents a transcontinental comparison, and then questions the status of major station as post pandemic urbanism showroom.
ABSTRACT
In order to explore impacts of crowd intervention strategies on indoor respiratory exposure risks during major pandemics, a variety of crowd motion scenarios were established in general indoor conditions based on improved pedestrian dynamics model and respiratory infection probability model. Then, multi-agent simulation technology was utilized to simulate impacts of strategies, including protection optimization, pedestrian flow optimization and route optimization, on the exposure risks. The results show that indoor respiratory exposure risks are mainly determined by total pedestrian flow, individuals' stay length, movement route planning and duration of stay in contaminated areas. The carryover effect will be formed due to pedestrians' obedience behavior of social distancing, which will further increase exposure time to contaminated areas. The lower pathogen permeability of masks, and the greater space ventilation are, the lower infection probability the crowd will face. © 2022 China Safety Science Journal. All rights reserved.
ABSTRACT
In the recent past, wireless network simulations involving pedestrians are getting increasing attention within the research community. Examples are crowd networking, pedestrian communication via Sidelink/D2D, wireless contact tracing to fight the Covid-19 pandemic or the evaluation of Intelligent Transportation Systems (ITS) for the protection of Vulnerable Road Users (VRUs). Since in general the mobile communication depends on the position of the pedestrians, their mobility needs to be modeled. Often simplified mobility models such as the random-waypoint or cellular automata based models are used. However, for ad hoc networks and Inter-Vehicular Communication (IVC), it is well-known that a detailed model for the microscopic mobility has a strong influence – which is why state-of-the-art simulation frameworks for IVC often combine vehicular mobility and network simulators. Therefore, this paper investigates to what extent a detailed modelling of the pedestrian mobility on an operational level influences the results of Pedestrian-to-X Communication (P2X) and its applications. We model P2X scenarios within the open-source coupled simulation environment CrowNet. It enables us to simulate the identical P2X scenario while varying the pedestrian mobility simulator as well as the used model. Two communication scenarios (pedestrian to server via 5G New Radio, pedestrian to pedestrian via PC5 Sidelink) are investigated in different mobility scenarios. Initial results demonstrate that time- and location-dependent factors represented by detailed microscopic mobility models can have a significant influence on the results of wireless communication simulations, indicating a need for more detailed pedestrian mobility models in particular for scenarios with pedestrian crowds. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
This research explores how central-city shopping districts could be transformed to support a post-Covid lifestyle, where people re-embrace community, local streets and walking while relying more on online shopping. By reviewing metropolitan/city development plans since the 1980s and mapping changes of retail provisions, urban environment and pedestrian movements in Melbourne's Hoddle Grid in the twenty-first century, this paper shows that planning policies focusing on people-centred experiences in the central-city shopping district helped to improve retail resilience. This paper thus adds insights to understanding the relentless retail landscape changes and has implications for central-city retail planning in the post-Covid era. © 2022 The Author(s). Published by Oxford University Press on behalf of the Cambridge Political Economy Society. All rights reserved.
ABSTRACT
The COVID-19 pandemic has affected city dwellers' physical and mental health and has raised concerns about the health of urban public spaces. This field investigation research in Dalian, China, examined the perceived audio-visual environment characteristics of urban pedestrian streets with traffic noise and their influences on the environmental health of the pedestrian streets. Five indicators reflecting psychological responses to environmental characteristics (willingness to walk, relaxation, safety, beauty, and comprehensive comfort) were used to measure environmental health of pedestrian streets with traffic noise. The results showed that safety was rated the highest, and willingness to walk was evaluated as the lowest among health evaluation indicators. The imageability and openness of the streetscape were associated with each health evaluation indicator. In contrast, the rhythm and continuity of the street buildings had a greater effect on willingness to walk than the other health indicators. There were negative correlations between L Aeq for traffic noise and health evaluations. Positive health evaluations were observed when L Aeq was less than 55 dBA. In contrast, soundscape indicators showed positive correlations with health evaluations, and acoustic comfort and noise annoyance, rather than sound preference and subjective loudness were associated with each health evaluation indicator. In terms of the combined audio-visual factors, acoustic comfort, the quantity of greening, annoyance, sky visibility, spatial scale, and building distance were examined as the determining factors affecting health evaluations, and 55.40% of the variance in health evaluations was explained by the soundscape and streetscape indicators. The findings provide references for better understanding the relationships between healthy experience and audio-visual perceptions. Moreover, they enable environmental health quality optimisation of pedestrian spaces considering audio-visual indicators and approaches in the post-epidemic era.
ABSTRACT
It is a nontrivial task to manage crowds in public places and recognize unacceptable behavior (such as violating social distancing norms during the COVID-19 pandemic). In such situations, people should avoid loitering (unnecessary moving out in public places without apparent purpose) and maintain a sufficient physical distance. In this study, a multi-object tracking algorithm has been introduced to improve short-term object occlusion, detection errors, and identity switches. The objects are tracked through bounding box detection and with linear velocity estimation of the object using the Kalman filter frame by frame. The predicted tracks are kept alive for some time, handling the missing detections and short-term object occlusion. ID switches (mainly due to crossing trajectories) are managed by explicitly considering the motion direction of the objects in real time. Furthermore, a novel approach to detect unusual behavior of loitering with a severity level is proposed based on the tracking information. An adaptive algorithm is also proposed to detect physical distance violation based on the object dimensions for the entire length of the track. At last, a mathematical approach to calculate actual physical distance is proposed by using the height of a human as a reference object which adheres more specific distancing norms. The proposed approach is evaluated in traffic and pedestrian movement scenarios. The experimental results demonstrate a significant improvement in the results.
ABSTRACT
The COVID-19 pandemic has considerably impacted pedestrians' perceived comfort in a public setting. The virus's transmissibility and social distancing restrictions have resulted in a shift in pedestrians' perceived comfort, with more pedestrians becoming more conscious of other pedestrians and the distance between pedestrians. The changes in pedestrians' perception have resulted in the Pedestrian Level Of Service (PLOS) models becoming outdated. The models may not accurately portray the actual status of pedestrians' Level Of Service (LOS) according to the pedestrian needs during a pandemic, which generally lasts for a couple of years. These pandemics will happen in the future;hence, their impact on pedestrian comfort on sidewalks is worth considering. This research aims to analyse the effect of COVID-19 on PLOS by compiling data using a face-to-face questionnaire survey in the Melbourne Central Business District (CBD). From the 445 completed surveys, 72% of respondents extensively considered social distancing due to COVID-19 when commuting in the CBD, and 49% preferred a 1–1.5 m distance between pedestrians. In conjunction with an in-depth analysis of the data, an ordinal regression model has been used to analyse the factors that influence the perceived comfort of the pedestrians and estimate the PLOS. The model results show that pedestrian density, COVID-19 social distancing, continuous footpath, and pedestrian flow in opposite directions on the sidewalk greatly impacted the walking comfort of pedestrians during the pandemic. © 2023 by the authors.
ABSTRACT
This article discusses the risk of traveling with different modes and how different policy and infrastructure design choices could improve the safety of people traveling. It is concluded that if we look at fatality risk, accidents, or unintentional crashes far outnumber intentional injury from terrorism and other crime, at least in most countries. Suicides are not dealt with in this article, but that number is also substantial. A similar number of people as die in accidents, die as a result of breathing polluted air or being exposed to transportation-related toxins in other ways. Large number of people also die from health issues originating with transportation-related noise. Finally, pandemics, like Covid-19, can spread from continent to continent by airplanes and cruise ships and then locally by other modes of transport. Certainly, nonfatal injuries from crashes as well as from crime, ranging from verbal abuse to rape and serious assault, are also of grave concern. If looking at different modes, it is concluded that travel by air and rail is much safer than travel by automobile. Being an unprotected road user has the highest risks. The risks for all roadway modes can be significantly reduced by redesign of infrastructure, in particular by introducing designs reducing speed and reducing the number of conflict points. © 2021 Elsevier Ltd. All rights reserved
ABSTRACT
This study examined the impact of COVID-19 on recreational walking while on vacation, a relevant activity among tourists especially in urban destinations. We surveyed visitors to Costa Daurada, an urban coastal destination in Catalonia in August 2020. Only 5% of participants reported lower recreational walking levels compared to normal circumstances;75% reported similar levels;and 20% reported higher levels. Higher recreational walking levels were associated with visiting local amenities or strolling and with a higher level of perceived safety from COVID-19 when walking. Higher perceived overcrowding was associated with less recreational walking. The pandemic may have altered recreational behavior while on vacation in urban settings especially by increasing outdoor activities such as recreational walking. If persistent, such behavioral changes could have relevant implications for both the tourism and recreation sectors and for local policymakers who aim to promote walkability while managing tourist pedestrian flows.
ABSTRACT
Nowadays the integration of pedestrian dynamics and epidemiology is heating up due to the pandemic of COVID-19. In this paper, we introduce a pedestrian-based epidemic transmission model that combines cellular automata-based pedestrian dynamics with stochastic infection spread dynamics. Based on this model, we simulate COVID-19 transmission in different indoor scenarios on the college campus. We confirm that COVID-19 patients' infectivity during the incubation period and the presence of asymptomatic patients are key reasons for the difficulty in controlling the epidemic. Then, several non-pharmaceutical interventions at different operational levels are proposed and their effectiveness is evaluated by using computational models. We find that indoor-level interventions can slow the speed of disease transmission while quarantine can downsize the scale of disease transmission. And the combination of these two levels of intervention is superior to any single intervention in reducing the number of new infections.
ABSTRACT
Distance estimation methods arise in many applications, such as indoor positioning and COVID-19 contact tracing. The received signal strength indicator (RSSI) is favored in distance estimation. However, the accuracy is not satisfactory due to the signal fluctuation. Besides, the RSSI-only method has a large-ranging error because it uses fixed parameters of the path loss model. Here, we propose an optimization method combining RSSI and pedestrian dead reckoning (PDR) data to estimate the distance between smart devices. The PDR may provide high accuracy of walking distance and direction. Moreover, the parameters of the path loss model are optimized to dynamically fit the complex electromagnetic environment. The proposed method is evaluated in outdoor and indoor environments and compared with the RSSI-only method. The results show that the mean absolute error is reduced up to 0.51 m and 1.02 m, with an improvement of 10.60% and 64.55% for outdoor and indoor environments, respectively, compared with the RSSI-only method. Consequently, the proposed optimization method has better accuracy of distance estimation than the RSSI-only method, and its feasibility is demonstrated through real-world evaluations.Copyright © 2023 Bo Zhao et al.