scholarly journals Spatial and Temporal Distribution of Elderly Public Transport Mode Preference

2021 ◽  
Vol 13 (9) ◽  
pp. 4752
Author(s):  
Kaniz Fatima ◽  
Sara Moridpour ◽  
Tayebeh Saghapour
Keyword(s):  
Public Transport ◽  
Elderly Population ◽  
Temporal Distribution ◽  
Travel Behaviour ◽  
The Elderly ◽  
Temporal Analysis ◽  
Trip Duration ◽  
Transport Mode ◽  
Trip Purpose ◽  
Temporal Study

The elderly population is increasing rapidly. Understanding travel behaviour for this group of commuters (in terms of the trip purpose and travel time) is necessary for future transport planning. Many researchers are working on travel’s spatial and temporal analysis to provide operational decision making and transport network planning. This research study’s primary purpose is to identify the influence of trip duration (using public transport), time of the day (usage of public transport), and public transport (PT) accessibility over public transport mode preference by elderly (over 65 years of age) commuters. The methodology of this study is divided into two parts as spatial analysis and temporal analysis. The research identified the dependency of trip duration, time of the day, geographical areas, and PT access over transport mode preference of elderly. The temporal study shows that transport mode preference can vary depending on trip purposes. However, for specific trip durations and times of the day, the elderly sometimes choose PT as a mobility mode. For instance, on shopping trips between 10:00 and 11:00 a.m., the elderly have a greater possibility of choosing public transport over private vehicles. Moreover, the results show the public transport mode preference based on different times of the day and trip purposes. Urban and transport planner can use the results to modify/plan public transport schedule, which can be easily accessible by the elderly population.

scholarly journals Post-COVID-19 travel behaviour patterns: impact on the willingness to pay of users of public transport and shared mobility services in Spain

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Samir Awad-Núñez ◽  
Raky Julio ◽  
Juan Gomez ◽  
Borja Moya-Gómez ◽  
Julián Sastre González
Keyword(s):  
Willingness To Pay ◽  
Public Transport ◽  
Nationwide Survey ◽  
Travel Behaviour ◽  
Revealed Preferences ◽  
Trip Purpose ◽  
Willingness To Adopt ◽  
Shared Mobility ◽  
Considerable Impact ◽  
Willingness To Use

Abstract Background The COVID-19 crisis has meant a significant change in the lifestyle of millions of people worldwide. With a lockdown that lasted almost three months and an impulse to new normality, transport demand has suffered a considerable impact in the Spanish case. It is mandatory to explore the effect of the pandemic on changes in travel behaviour in post-COVID-19 times. Methodology A nationwide survey was carried out during the lockdown in Spring 2020 to overview the recent changes. The survey collected both stated preferences (socio-demographic characteristics and mobility-related attributes), and revealed preferences (individuals’ habits, especially in the frequency of the trips according to the trip purpose, and opinions regarding the willingness and acceptability of these changes, and which actors would have to drive them, and how) of individuals. This paper aims to study and understand the willingness to adopt a set of measures to improve the safety conditions of public transport and shared mobility services against possible contagion from COVID-19 and the willingness to pay for them. Results The results obtained show that some measures, such as the increase of supply and vehicle disinfection, result in a greater willingness to use public transport in post-COVID-19 times. Similarly, the provision of covers for handlebars and steering wheels also significantly increases individuals’ willingness to use sharing services. However, respondents expect that these measures and improvements would be implemented but maintaining the same pre-COVID-19 prices. The results of this research might help operators deploy strategies to adopt their services and retain users.

scholarly journals Effects from usage of pre-trip information and passenger scheduling strategies on waiting times in public transport: an empirical survey based on a dedicated smartphone application

2019 ◽  
Author(s):  
Ulrik Berggren ◽  
Karin Brundell-Freij ◽  
Helena Svensson ◽  
Anders Wretstrand
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Waiting Times ◽  
Personal Characteristics ◽  
Ground Truth ◽  
Travel Behaviour ◽  
Smartphone Application ◽  
Time Of Day ◽  
Trip Purpose ◽  
Departure Time

AbstractWaiting times are important indicators of the degree of travel time optimisation and other behavioural traits among public transport (PT) passengers. As previous studies have shown, the level and usage of pre-trip information regarding schedule or real-time departures are important factors that influence the potential to realise travel time savings by enabling PT passengers to optimise waiting times. Most empirical evidence regarding the revealed PT travel behaviour concerning information levels is based on manual interviews or traditional travel surveys, in which there is a risk that the actual context of where and when the choice of departure time was made is not taken into account. This paper reports the results of a travel survey based on a dedicated smartphone application applied in a field study in a Swedish mid-size urban and regional context. Context-aware notification prompting was used to allow respondents to state their use of pre-trip information as well as whether they had pre-planned their trip and how contingent planning aids were used for time optimisation. The implications on passenger waiting times of the use of information regarding departure times by passengers were emphasised during analyses of the resulting data, along with personal characteristics, in which auxiliary sources such as timetable data and Automatic Vehicle Location were utilised to determine ground truth trip trajectories and trip-contextual factors. The results indicate the significance of having access to pre-trip information, especially for long trips above one hour’s duration, in order to pre-plan and thereby optimise waiting times. In addition, the use and source of pre-trip information differ among age and gender groups. Trip purpose and time of day to some extent determine waiting times and choice of trip optimisation strategy (arrival or departure time).

scholarly journals Analysis of Socio-spatial Differentiation in Transport Mode Choice Preferences

2017 ◽  
Vol 29 (2) ◽  
pp. 233-242 ◽  
Author(s):  
Geran-Marko Miletić ◽  
Slaven Gašparović ◽  
Tonči Carić
Keyword(s):  
Public Transport ◽  
Mode Choice ◽  
Spatial Differentiation ◽  
Binary Logistic Regression ◽  
Travel Behaviour ◽  
National Sample ◽  
Binary Logistic Regression Analysis ◽  
Transport Mode ◽  
Frequent Use ◽  
Representative National Sample

Starting from the fact that the transport mode choice is one of those aspects of travel behaviour that, to a great extent, affects the efficiency of the transport system, this paper analyses the factors that contribute to the use of public and car transport. The goals of the analysis were to obtain insight into the preferences for using these two modes of transport in Croatia and find out to which extent the basic demographic and socioeconomic characteristics of the respondents affect the usage of car and public transport and the possibility of taking trips by these transport modes. The paper analyses the data collected by surveys on a representative national sample. The results show that in Croatia, the number of people who frequently use public transport is far fewer than the number of frequent users of passenger car transport. However, the comparison has found that the number of frequent public transport users varies significantly among certain categories of respondents. Using binary logistic regression analysis has determined that the preferences towards the frequent use of car or public transport are significantly influenced by the age of the respondents, size of the settlement, accessibility of the destinations by public transport, the number of vehicles in the household and whether the respondent is the main car user in the household.

scholarly journals Epidemiological profile and temporal trend of mortality from cerebrovascular diseases in Northeast of Brazil, 1996-2016

2021 ◽  
Author(s):  
Rodrigo da Rosa Mesquita ◽  
Tatiana Farias de Oliveira ◽  
Gibson Barros de Almeida Santana ◽  
Antônio Leopoldo do Nascimento Gama Albuquerque ◽  
Amanda Karine Barros Ferreira Rodrigues ◽  
...  
Keyword(s):  
Skin Color ◽  
Elderly Population ◽  
Ecological Study ◽  
The Elderly ◽  
Temporal Analysis ◽  
Cerebrovascular Diseases ◽  
Gender And Age ◽  
Group A ◽  
Sociodemographic Profile ◽  
Level Of Significance

Background: Cerebrovascular diseases represent the second leading cause of mortality in the world and Brazil occupies the leadership in the ranking of mortality in South America. Objectives: This study sought to analyze the sociodemographic profile and the time trend of the mortality rate from cerebrovascular disease in the Northeast of Brazil, 1996-2016. Methods: This is an ecological study of time series involving deaths from cerebrovascular diseases in the Northeastern of Brazil, 1996-2016. Sociodemographic variables (age, schooling, marital status, skin color, ICD category and federation units) were included and calculated crude and standardized mortality rates, according to gender and age group. A joinpoint regression model was applied for the temporal analysis, with a level of significance of 5%. Results: There were 490.433 deaths from cerebrovascular diseases in the Northeast of Brazil, 1996-2016. Of these deaths, 50,03% (n = 245.354) were women, 79,72% (n = 390.957) elderly, 46,66% (n = 228.851) brown, 51,81% (n = 332.439) illiterate and 37,93% (n = 186.014) were married. Of the causes of death, 56,63% (n = 277.741) resulted from stroke, not specified as hemorrhagic or ischemic (I64). In the Northeast, there was a predominance of the elderly population, with growth of 1.2% (p < 0.001). Conclusions: Standardized mortality increased in four states, being higher in Maranhão and Piauí, with a predominance of females and age equal to or above 60 years.

Use of Traffic Simulation to Analyze the Changes in City Mobility During the COVID-19 Pandemic

2022 ◽  
pp. 51-66
Author(s):  
Simona Šinko ◽  
Bojan Rupnik ◽  
Roman Gumzej
Keyword(s):  
Public Transport ◽  
Traffic Simulation ◽  
Travel Behaviour ◽  
Transport Mode ◽  
Related Research ◽  
Complete Closure ◽  
The World ◽  
Mode Of Transport

It seems that the COVID-19 pandemic, which started in December 2019, will have longer and more profound consequences on our lives than initially foreseen. Among the most obvious are everyday decisions about the mode of transport. From related research, it can be seen that the most affected transport mode is public transport, which had the greatest decline. The reason for lesser use of public transport is in complete closure of public transport in some parts of the world. However, where this measure has not been applied, the reason for the reduction is people's fear of infection when using public transport or any shared modes of transportation. The fear stems from the fact that the COVID-19 virus is spreading extremely fast in densely populated rooms. All these changes are affecting the changes in city mobility. Related research shows a decrease of mobility in general and an increase in the use of individual modes of transportation. Distinct changes can be observed in different environments as compared to previous travel behaviour.

scholarly journals Analysis of the Temporal Characteristics of the Elderly Traveling by Bus Using Smart Card Data

2020 ◽  
Vol 9 (12) ◽  
pp. 751
Author(s):  
Zhicheng Shi ◽  
Lilian S. C. Pun-Cheng ◽  
Xintao Liu ◽  
Jianhui Lai ◽  
Chengzhuo Tong ◽  
...  
Keyword(s):  
Smart Card ◽  
Public Transport ◽  
Systematic Approach ◽  
Temporal Distribution ◽  
The Elderly ◽  
Dominant Mode ◽  
Sustainable Urban Development ◽  
Smart Card Data ◽  
Dynamic Mobility ◽  
Behavior Characteristics

Many cities around the world face the challenge of an aging population. A full understanding of the mobility behavior characteristics of the elderly is one necessary and urgent consideration as regards the current aging trend if sustainable urban development is to be fully realized. This paper presents a systematic approach to analyzing the dynamic mobility characteristics of the elderly who travel by bus using smart card big data. The characteristics include temporal distribution, travel distance, travel duration, travel frequency, and also the spatial distribution of such travelers. The findings of these mobility characteristics can directly contribute to both public transport policy making, service, and management. In this study, the analytics of the elderly are also compared with that of the average adult group so as to identify both the similarities and differences between the two groups. Beijing, a megacity, with a very high life expectancy and in which the bus is the dominant mode of public transport for the elderly, was used as the study area. The significance of this research concerns a newly developed systematic approach that is able to analyze the dynamic mobility characteristics of the elderly using smart card data.

scholarly journals URBAN MOBILITY OF THE ELDERLY IN THE METROPOLITAN REGION OF SÃO PAULO: AN APPLICATION OH THE MULTINOMIAL LOGIT MODEL

2019 ◽  
pp. 294-301
Author(s):  
Luciana Mação Bernal ◽  
Claudinei Moreira Diniz ◽  
Suely Da Penha Sanches
Keyword(s):  
Elderly People ◽  
Logit Model ◽  
Elderly Population ◽  
Multinomial Logit Model ◽  
The Elderly ◽  
Multinomial Logit ◽  
Sao Paulo ◽  
Urban Mobility ◽  
Transport Mode ◽  
Daily Mobility

Elderly population growth has become a worldwide concern in recent years. For that matter, it is important to think about the current state of cities in a way to ensure a safe and independent transportation for the daily mobility of the elderly. Therefore, this study aimed to identify differences in the urban mobility of the elderly and non-elderly population based on travel characteristics. Data was obtained from a mobility research conducted within the metropolitan area of São Paulo, from which five variables were selected and treated for the study. The methodology was based on an analysis with a multinomial logit model. Results indicated that elderly and the non-elderly people tend to choose the individual transport mode first, followed by the public transport mode and lastly the walking mode. Moreover, non-elderly people tend to travel longer distances in their daily commutes, while the elderly people are more likely to do shorter trips in their daily commutes. In sum, the comprehension of mobility differences between elderly and non-elderly population allows a better understanding of challenges faced by the elderly in their daily mobility, as well as adequate planning for more inclusive cities.

Validity and Reliability of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE)

GeroPsych ◽  
2019 ◽  
Vol 32 (3) ◽  
pp. 145-151
Author(s):  
Mahshid Foroughan ◽  
Zahra Jafari ◽  
Ida Ghaemmagham Farahani ◽  
Vahid Rashedi
Keyword(s):  
Psychometric Properties ◽  
Elderly Population ◽  
Formal Education ◽  
The Elderly ◽  
Cognitive State ◽  
Validity And Reliability ◽  
Internal Reliability ◽  
Dsm Iv ◽  
Test Retest Reliability ◽  
Farsi Version

Abstract. This study examines the psychometric properties of the IQCODE and its applicability in the Iranian elderly population. A group of 95 elderly patients with at least 4 years of formal education who fulfilled the criteria of DSM-IV-TR for dementia were examined by the MMSE and the AMTs. The Farsi version of the IQCODE was subsequently administered to their primary caregivers. Results showed a significant correlation ( p = .01) between the score of the questionnaire and the results of the MMSE ( r = −0.647) and AMTs ( r = −0.641). A high internal reliability of the questionnaire was confirmed by Cronbach’s alpha coefficient (α = 0.927) and test-retest reliability by correlation coefficient ( r = 0.81). This study found that the IQCODE has acceptable psychometric properties and can be used for evaluating the cognitive state in the elderly population of Iran.

Spontaneous Intracerebral Hemorrhage in the Elderly Population

2018 ◽  
Author(s):  
S. Sommaruga ◽  
R. Beekman ◽  
S. Chu ◽  
Z. King ◽  
C. Matouk ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Elderly Population ◽  
The Elderly ◽  
Spontaneous Intracerebral Hemorrhage
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