Travel Walking Research Articles

A singular, broadly-applicable model for estimating on- and off-path walking travel rates using airborne lidar data

Accurate prediction of walking travel rates is central to wide-ranging applications, including modeling historical travel networks, simulating evacuation from hazards, evaluating military ground troop movements, and assessing risk to wildland firefighters. Most of the existing functions for estimating travel rates have focused on slope as the sole landscape impediment, while some have gone a step further in applying a limited set of multiplicative factors to account for broadly defined surface types (e.g., “on-path” vs. “off-path”). In this study, we introduce the Simulating Travel Rates In Diverse Environments (STRIDE) model, which accurately predicts travel rates using a suite of airborne lidar-derived metrics (slope, vegetation density, and surface roughness) that encompass a continuous spectrum of landscape structure. STRIDE enables the accurate prediction of both on- and off-path travel rates using a single function that can be applied across wide-ranging environmental settings. The model explained more than 80% of the variance in the mean travel rates from three separate field experiments, with an average predictive error less than 16%. We demonstrate the use of STRIDE to map least-cost paths, highlighting its propensity for selecting logically consistent routes and producing more accurate yet considerably greater total travel time estimates than a slope-only model.

소셜 미디어에 걷기여행경험 공유 행동에 대한 동기, 혜택 및 가치 구조 고찰

소셜 미디어에 걷기여행경험 공유 행동에 대한 동기, 혜택 및 가치 구조 고찰

Enhancing Walking Accessibility in Urban Transportation: A Comprehensive Analysis of Influencing Factors and Mechanisms

The rise in “urban diseases” like population density, traffic congestion, and environmental pollution has renewed attention to urban livability. Walkability, a critical measure of pedestrian friendliness, has gained prominence in urban and transportation planning. This research delves into a comprehensive analysis of walking accessibility, examining both subjective and objective aspects. This study aims to identify the influencing factors and explore the underlying mechanisms driving walkability within a specific area. Through a questionnaire survey, residents’ subjective perceptions were gathered concerning various factors such as traffic operations, walking facilities, and the living environment. Structural equation modeling was employed to analyze the collected data, revealing that travel experience significantly impacts perceived accessibility, followed by facility condition, traffic condition, and safety perception. In the objective analysis, various types of POI data served as explanatory variables, dividing the study area into grids using ArcGIS, with the Walk Score® as the dependent variable. Comparisons of OLS, GWR and MGWR demonstrated that MGWR yielded the most accurate fitting results. Mixed land use, shopping, hotels, residential, government, financial, and medical public services exhibited positive correlations with local walkability, while corporate enterprises and street greening showed negative correlations. These findings were attributed to the level of development, regional functions, population distribution, and supporting facility deployment, collectively influencing the walking accessibility of the area. In conclusion, this research presents crucial insights into enhancing walkability, with implications for urban planning and management, thereby enriching residents’ walking travel experience and promoting sustainable transportation practices. Finally, the limitations of the thesis are discussed.

Analysis of Factors Affecting Walking Speed Based on Natural Field Data: Considering the Attributes of Travelers and the Travel Environment

In Mobility as a Service (MaaS), walking plays a crucial role in connecting various modes of transportation. In order to provide more accurate predictions of walking travel time, a comprehensive and in-depth study is required to examine the factors that influence walking speed. Many existing studies focus on exploring various factors affecting walking speed, but there is limited research on further investigating the magnitude of their impact and the reasons for differences among different pedestrians. This study examines the relationship between personal characteristics and the degree of influence of environmental factors on walking speed. We recruited 31 volunteers and investigated their traveler characteristics such as height, weight, and age, as well as environmental factors such as weather conditions, ground conditions, and sidewalk Level of Service (LOS). Descriptive statistics were performed on walking speed, revealing the influence of these factors. For example, the speed of females is 89% of that of males. When in a hurry, the speed increases by 17%, while on uneven roads, the speed decreases by 11%. We then proposed the influence coefficient f to represent the degree of influence and analyzed its correlation with personal characteristics. We discovered some strong correlations. For instance, the greater the body weight, the more significant the reduction in walking speed due to precipitous weather or uneven roads. Similarly, the taller the person, the greater the increase in walking speed under the influence of a rushed situation. Finally, we constructed a series of regression models for “f” and a speed estimation model. Our findings provide support for predicting personalized speeds in various scenarios, based solely on the traveler’s personal characteristics and speeds in controlled group scenarios in the travel service system, and contribute to the study and development of MaaS in terms of travel time prediction, travel route planning, and personalized services.

Walking journeys into everyday climatic-affective atmospheres: The emotional labour of balancing grief and hope

The postapocalypse as a mobilising discourse for climate action operates largely out of anger over experienced and anticipated injustices as well as paradoxical hope that fuses loss and grief with freed-up solidarities in support of liveable futures. However, negotiating this emotional tension can be both draining and isolating. Here, we examine how white settler populations in Western Australia balance grief and hope in places they hold dear and the role emotions such as sadness, worry, disappointment, joy, and pride play in relational place making. Through an innovative in situ and mobile methodology we call Walking Journeys, we trace how participants navigate their climatic-affective atmospheres and make sense of their agency in changing ‘Places of the Heart’. We find evidence for emotional complexities of solastalgia where pessimistic outlooks for the future are wrapped up in prefigurative visions of a better world. By holding the tension between paralysis and restoration, urban and rural residents explore affective co-existence and differential belonging in their homes and the landscapes around them. We highlight the challenge of enfranchising emotions beyond individuals and conclude by endorsing entangled, reflexive, and (re-)generative responsibilities for hopeful postapocalyptic journeying.

Evaluating Pedestrian Environment Using DeepLab Models Based on Street Walkability in Small and Medium-Sized Cities: Case Study in Gaoping, China

In small and medium-sized cities of China, walking plays an important role as a green and healthy way to travel. However, the intensification of motorized travel and poor planning of pedestrian transportation systems have resulted in poor travel experiences for residents. To encourage residents to change their mode of travel from motorized transport to greener modes, it is necessary to consider the characteristics of walking travel, design good walking street environments, and increase the advantages of walking in the downtown areas of small and medium-sized cities. In this study, a spatial environment model of a pedestrian street was constructed based on the walking score. Visual perception elements, street function elements, and walking scale elements were acquired by semantic segmentation of Baidu street view images obtained with the DeepLab model. Points of interest (POI) were obtained based on surveys, measurements, and the space syntax. Considering walking distances for small and medium-sized cities, the attenuation coefficient of a reasonable facility distance was adopted to modify the walking score. Based on the comprehensive score obtained, walking paths were divided into four categories: functionally preferred, visually preferred, scale preferred, and environmentally balanced. This categorization provides theoretical support for the design of pedestrian street space environments. Taking the pedestrian street in the city center of Gaoping in Shanxi Province, China as an example, the feasibility of the method and model was verified.

Factors influencing subjective walkability: Results from built environment audit data

Subjective walkability is a measure of the perceived friendliness of walking in an area. Though subjective walkability is less commonly assessed than objective measurements, the latter often fail to reflect the experience of walking. This study aims to better understand subjective walkability and how it varies between travel and leisure walking by investigating its relationship with the built environment and land-use characteristics. Data is collected from 848 street segments in Montreal, Canada, using the MAPS-mini audit tool, external measurements including Walkscore as well as synthetic subjective walkability scores. Mixed effect multilevel models are then generated using travel and leisure subjective walkability scores as dependent variables and built environment features as independent variables. Statistically significant positive predictors of perceived walkability differ between walking for travel and walking for leisure. Walkscore is found to have a weak but significant effect on perceived walkability for travel but no effect at all for leisure. Based on this research, a multi-scalar approach both at the street and neighborhood level making use of a combination of objective and subjective walkability measures should be employed to study predictors of walking behavior. Lastly, distinctions of walking behaviors based on trip purpose should be integrated in future research.

Traffic assignment problem for footpath networks with bidirectional links

The estimation of pedestrian traffic in urban areas is often performed with computationally intensive microscopic models that usually suffer from scalability issues in large-scale footpath networks. In this study, we present a new macroscopic user equilibrium traffic assignment problem (UE-pTAP) framework for pedestrian networks while taking into account fundamental microscopic properties such as self-organization in bidirectional streams and stochastic walking travel times. We propose four different types of pedestrian volume-delay functions (pVDFs), calibrate them with empirical data, and discuss their implications on the existence and uniqueness of the traffic assignment solution. We demonstrate the applicability of the developed UE-pTAP framework in a small network as well as a large scale network of Sydney footpaths.

The impact of urban park accessibility in cold regions on leisure-time physical activity levels of older adults during the winter

Given the situation of public health and population aging, studying the impact of park accessibility on the level of leisure-time physical activity of older adults (60 years and older) in cold regions is of great significance. Public parks in Harbin, China are often frequented by older adults. Furthermore, insufficient activity levels have an impact on health. This study mainly analyzed the accessibility of six parks and quantified the activity profile of older adults in winter. We obtained data through a field investigation on the activity levels of older adults, analyzed the accessibility of parks using the ARCGIS spatial analysis tool and network analysis, and studied the relationship between accessibility and levels of physical leisure activities of older adults with the Pearson correlation coefficient. The results indicated that: 1) The distribution of parks across the region was unbalanced, and overall accessibility via walking was poor; 2) In winter, the proportion of medium- and high-level leisure-time physical activities was 91.3%, and the walking travel rate was 80.65%. Walking was the main travel mode of older adults; 3) Five minutes of walking promoted the occurrence of high-level leisure-time physical activity (with a correlation coefficient 0.244 *). There was no significant relationship between motor vehicles (buses) and high-level activity. Walking had an effect on the level of leisure-time physical activity of older adults. Improving walking accessibility could improve the leisure-time activity levels of older adults in winter. According to the research results, we propose measures to improve walking accessibility to increase leisure-time activity levels in older adults.

The Role of Walkability, Socio-Economic and Parental Cognitive Characteristics in Long Walking Journeys to School

Previous research has identified the socio-economic, built environment, and psychological barriers to children walking to school. Long journeys, however, have been identified as a crucial constraint reducing the likelihood of walking to school. Determining a threshold to distinguish between long and short journeys, the present study sought to examine whether the contribution of the factors reducing walking to school differs between short and long journeys. Questionnaires were distributed among 7 to 12-year-old children in a neighborhood of Tehran ( n = 272) to be completed by parents. In addition, instead of walkability at the neighborhood level that considers walkability within a radial buffer from home or destination, we measured walkability along the school routes. ROC (Receiver Operating Characteristic) curve analysis found a threshold of 12.5 min to differentiate between long and short journeys. Walking journeys longer or shorter than the threshold were classified to be long or short, respectively. We developed two separate models, one to estimate walking for all (including long and short) journeys; and the other for only long journeys. Compared with all journeys, long walking journeys were explained by more built-environment variables. Parental attitudes toward walking were also significant in long walking journeys. However, analysis of interaction effects between walking time to school and the study variables confirmed that among all variables examined, the contribution of only environmental factors of crosswalks, walkways, and physically permeable frontages was significantly different between long and short walking journeys. Policy implications of the findings have been discussed.

The relationship between greenspace and personal exposure to PM2.5 during walking trips in Delhi, India

The presence of urban greenspace may lead to reduced personal exposure to air pollution via several mechanisms, for example, increased dispersion of airborne particulates; however, there is a lack of real-time evidence across different urban contexts. Study participants were 79 adolescents with asthma who lived in Delhi, India and were recruited to the Delhi Air Pollution and Health Effects (DAPHNE) study. Participants were monitored continuously for exposure to PM2.5 (particulate matter with an aerodynamic diameter of less than 2.5 μm) for 48 h. We isolated normal day-to-day walking journeys (n = 199) from the personal monitoring dataset and assessed the relationship between greenspace and personal PM2.5 using different spatial scales of the mean Normalised Difference Vegetation Index (NDVI), mean tree cover (TC), and proportion of surrounding green land use (GLU) and parks or forests (PF). The journeys had a mean duration of 12.7 (range 5, 53) min and mean PM2.5 personal exposure of 133.9 (standard deviation = 114.8) μg/m3. The within-trip analysis showed weak inverse associations between greenspace markers and PM2.5 concentrations only in the spring/summer/monsoon season, with statistically significant associations for TC at the 25 and 50 m buffers in adjusted models. Between-trip analysis also indicated inverse associations for NDVI and TC, but suggested positive associations for GLU and PF in the spring/summer/monsoon season; no overall patterns of association were evident in the autumn/winter season. Associations between greenspace and personal PM2.5 during walking trips in Delhi varied across metrics, spatial scales, and season, but were most consistent for TC. These mixed findings may partly relate to journeys being dominated by walking along roads and small effects on PM2.5 of small pockets of greenspace. Larger areas of greenspace may, however, give rise to observable spatial effects on PM2.5, which vary by season.

걷기여행객의 걷기여행 동기, 선택속성, 만족도, 행동의도 연구

This study was aimed at the mutual influences between the motivation of walking travelers, the nature of their choice of walking trails, satisfaction and the resulting degree of tourism behavior. To achieve this goal, data was collected from trail walkers who experienced walking tours. In total, 600 questionnaires were distributed online and offline, 466 surveys were collected and 23 inappropriate responses were excluded for the analysis. The results of empirical analyses are as follows. Both internal and external motivations for taking the walking tour had a significant positive influence on walking trail selection. Walking travel selection properties had a significant positive effect on satisfaction and behavioral intention. In addition, walking travelers’ satisfaction is positively related to behavioral intention. However, walking travelers’ motivation showed that both internal and external motivations did not significantly affect satisfaction.

Women’s Embodied Experiences: Qualitative Tools for a Gender-Conscious Approach to the Territory

The way we experience our cities is not neutral: women and men experience it differently, depending on factors such as where they live, the social group which they belong to, the gender roles assigned, and intersectionality. Urbanismo Mujeres y Ciudad en Latinoamérica is a platform that works with qualitative methodologies with gender and feminist perspective.This article presents a methodological proposal to answer the central question: How is the urban experience of women in two Latin American cities: Mexico City and Santiago de Chile. As a way of answering it, the following were developed: the Multidimensional Model of Gender-Conscious Urbanism, the My Walk Travel Log, the Immobility Log and the Neighbourhood Satisfaction Survey. These are the tools of the urban analysis methodology proposed in order to understand the experience of women in the above-mentioned territory, including quantitative and qualitative variables, making perception the central element of the analysis.

Personal exposure to outdoor particulate matter and greenspace in Delhi, India

BACKGROUND AND AIM: Research suggests urban greenspace promotes better health, with reduced air pollution being a potential mechanism; however, much of this work is based on static environments in lower air pollution settings. Our aim was to study the association between particulate matter of 2.5 µm (PM₂.₅) and greenspace during outdoor walking trips in a higher air pollution context. METHODS: Study subjects included adolescents (age 10-18 years) with asthma recruited within the Delhi Air Pollution and Health Effects (DAPHNE) study. Participants were provided with an AirSpeck personal sensor to monitor continuously their exposure to PM₂.₅ during 48-hour monitoring periods. We identified walking journeys based on personal GPS data and assigned three indicators of greenspace according to four buffer sizes (25m, 50m, 100m, 250m): the mean Normalised Difference Vegetation Index (NDVI), mean tree cover density (TCD), and proportion overlap with green land use (GLU). We assessed the relationship between greenspace and PM₂.₅ using multilevel modelling, controlling for individual (e.g., age, sex), spatial (e.g., roads, population density) and temporal (e.g., season, meteorology) covariates. RESULTS:There were 86 participants who provided 219 walking journeys, a cumulative total of 2029 minutes. The mean PM₂.₅ concentration was 129 µg/m³ (standard deviation=121). Results from preliminary analyses have not elucidated clear associations with greenspace. For example, in fully adjusted models (100 m buffer), the corresponding change in PM₂.₅ (µg/m³) for a 1-unit change in greenspace was 0.03 (95% confidence interval [CI]: -0.71 to 0.78) for NDVI, -1.4 (95% CI: -5.5 to 2.7) for TCD, and 0.42 (95% CI: -0.04 to 0.87) for GLU. CONCLUSIONS:Our initial findings do not support lower exposure to PM₂.₅ with greenspace. A possible explanation is that any reductions linked to vegetation may be too modest to detect in the presence of substantial spatiotemporal variation as that which exists in Delhi. KEYWORDS: Air pollution, Particulate matter, Green space, Short-term exposure, Built environment

Exploring built environment correlates of older adults’ walking travel from lifelogging images

Abstract Utilising time-stamped lifelogging images collected from a sample of 30 older adults in three neighbourhoods of Singapore, this study explores older adults’ daily walking travel patterns and their associations with neighbourhood-level built environment features. The visual lifelogging method uses a wearable camera to automatically record individual activities from a “first-person” perspective and capture novel information of environmental features encountered by individuals in real time. The findings reveal that older participants in the study areas, on average, take about 4 walking trips per day with an average trip length of about 15 minutes. Neighbourhood facilities including public open spaces, senior activity centres, and food courts are the most visited destinations while urban design features such as covered walkways, tree shades and street furniture are frequently encountered during walking trips.

Evaluation of rural roads construction alternatives according to seasonal service accessibility improvement using a novel multi-modal cost-time model: A study in Nepal's remote and mountainous Karnali province

Transport and economic geographers' accessibility models provide nuanced descriptions of accessibility gains to investments in structured environments but struggle to accurately reflect the complex mobility constraints in rural, mountainous areas of the developing world. This forces planners in such contexts to employ cruder measures of accessibility gains to each road, particularly where large collections of feeder roads inflate data collection expenses. To address this disconnect we develop a scalable method for evaluating the cost-efficiency of rural roads investments based on seasonal accessibility improvements to specified services. Accessibility improvements are measured using road-specific multi-modal cost-distance models, incorporating terrain, seasonal effects, and extensive off-network walking travel. Using our models, we estimate and compare accessibility improvements for a large collection of proposed rural feeder roads in a case study of Nepal's remote, mountainous Karnali province. The developed model and workflow can be adapted to compare accessibility gains from roads or other investments in equivalently rugged, remote, and data-poor environments, opening the door to more rigorous accounting of accessibility in a traditionally neglected context.

Impact of travel by walk and road on testicular hormones, oxidants, traces minerals, and acute phase response biomarkers of dromedary camels

This study aimed to compare the effect of truck transport and walk travel on testicular hormones, oxidants, antioxidants and acute-phase responses of camels’ walked from Sudan to the Egyptian quarantine and were transported from the quarantine to the slaughterhouses by trucks. Blood samples were collected from walked camels (N ≤ 30) just arrived at the quarantine (Walk), unloaded (N ≤ 12) from the truck (Truck), and control camels (N ≤ 20). Animals were statistically categorized into Walk travel, Truck transport, and Control, then Total travel (Walk + truck transport) was compared to control. Haptoglobin, fibrinogen, superoxide dismutase (SOD), glutathione peroxidase (GPx), nitric oxide (NO), ascorbic acid, glucose, cholesterol, testosterone, estradiol, iron, copper, ALT, AST, alkaline phosphatase (ALP), total proteins, albumin, and creatinine were measured. Results showed that the travel by walk and truck increased haptoglobin (P ≤ 0.0001), fibrinogen (P < 0.05), ALT (P < 0.05), and creatinine (P ≤ 0.0001) but decreased NO (P ≤ 0.0001), albumin (P < 0.05), Ascorbic acid (P < 0.05), testosterone (P ≤ 0.0001), ALP (P < 0.0001), and glucose (P ≤ 0.0001). The declined NO (P ≤ 0.0001), Ascorbic acid (P ≤ 0.0001), iron (P ≤ 0.005), copper (P ≤ 0.023), cholesterol (P > 0.05), total proteins (P ≤ 0.0001), albumin (P ≤ 0.018), globulins (P ≤ 0.001), with increased haptoglobin (P ≤ 0.0001), AST (P ≤ 0.0001), ALP (P ≤ 0.0001), and testosterone (P ≤ 0.0001) was evident in camels transported by truck compared to walk transport. In conclusion, transport enhanced the acute phase proteins, retarded kidney function, antioxidant status, and energy but truck produced a significant acute-phase response and adversely affected the oxidant-antioxidant balance, destructed proteins kidney, and liver functions than the long travel by walk.

The production of “rhythms of responsibility” for childcare in a post-socialist society

ABSTRACT Drawing on 32 face-to-face interviews with mothers and childcare providers in Latvia, this paper examines the mundane mobilities. We argue that attention to mundane mobilities reveals crucial arrangements of childcare rhythms. Moving to and from childcare places, and around homes with children are central to the provision of childcare. These mobilities are expressed in temporal and personal rhythms, continuities, and disruptions. Mundane mobilities link locations between family and care providers. Childcare mobilities are further shaped by a reduction in the formal supply of childcare in post-socialist Latvia and its replacement by informal arrangements. Through the morally negotiated responsibilities of informal childcare, certain rhythms emerge, including care-time in neighbourhoods, walking and other travel routines, and play activities with children. The paper’s theoretical contribution builds on geographical and sociological interpretations of the mobility literature, here with a focus on rhythm analysis applied to childcare in everyday life. Its applied contribution rests on an understanding of how precarity is experienced, and responsibilities negotiated, with a special focus on a post-socialist society.

Development of a Knee Actuated Exoskeletal Gait Orthosis for Paraplegic Patients with Incomplete Spinal Cord Injury: A Single Case Study

Gait training for paraplegic patients is effective in preventing various complications due to prolonged sitting. In these patients, the use of powered exoskeletal-gait-orthosis (EGO) consumes lower energy than traditional training methods using non-powered EGO, such as a reciprocating-gait-orthosis (RGO). Thus, long-term training is possible and effective in increasing the activity level of the trunk muscles. However, more than 60% of paraplegic patients have incomplete injuries with residual function, which is inversely related to the functional role of the orthosis. We hypothesized that the gait ability in incomplete paraplegia could be improved by knee joint activation, and we developed a lightweight knee-actuated EGO (KAEGO). We verified its effectiveness in one patient with an incomplete spinal cord injury by comparing the metabolic cost of transport (COT) measured by a six minute walk test to a traditional non-powered EGO. We found that with increasing assist torque to the knee joint, the COT decreased by up to 24.5%, and the gait performance, including walking speed and travel distance, significantly improved up to 37% compared to that of the non-powered EGO. Future studies should verify the KAEGO system’s effectiveness in a larger number of patients with various injury levels.

Analysis of various transport modes to evaluate personal exposure to PM2.5 pollution in Delhi

Access to detailed comparisons of the air quality variations encountered when commuting through a city offers the urban traveller more informed choice on how to minimise personal exposure to inhalable pollutants. In this study we report on an experiment designed to compare atmospheric contaminants, in this case, PM2.5 inhaled during rickshaw, bus, metro, non-air-conditioned car, air-conditioned (AC) car and walking journeys through the city of Delhi, India. The data collection was carried out using a portable TSI SidePak Aerosol Monitor AM520, during February 2018. The results demonstrate that rickshaws (266 ± 159 μg/m3) and walking (259 ± 102 μg/m3) modes were exposed to significantly higher mean PM2.5 levels, whereas AC cars (89 ± 30 μg/m3) and the metro (72 ± 11 μg/m3) had the lowest overall exposure rates. Buses (113 ± 14 μg/m3) and non-AC cars (149 ± 13 μg/m3) had average levels of exposure, but open windows and local factors caused surges in PM2.5 for both transport modes. Closed air-conditioned transport modes were shown to be the best modes for avoiding high concentrations of PM2.5, however other factors (e.g. time of the day, window open or closed in the vehicles) affected exposure levels significantly. Overall, the highest total respiratory deposition doses (RDDs) values were estimated as 84.7 ± 33.4 μg/km, 15.8 ± 9.5 μg/km and 9.7 ± 0.9 μg/km for walking, rickshaw and non-AC car transported mode of journey, respectively. Unless strong pollution control measures are taken, the high exposure to PM2.5 levels will continue causing serious short-term and long-term health concerns for the Delhi residents. Implementing integrated and intelligent transport systems and educating commuters on ways to reduce exposure levels and impacts on commuter's health are required.