scholarly journals The impact of the street-scale built environment on pedestrian metro station access/egress route choice

2020 ◽  
Vol 87 ◽  
pp. 102491
Author(s):  
Yanan Liu ◽  
Dujuan Yang ◽  
Harry J.P. Timmermans ◽  
Bauke de Vries
Keyword(s):  
Built Environment ◽  
Route Choice ◽  
Metro Station ◽  
The Impact

scholarly journals Simulating the effects of redesigned street-scale built environments on access/egress pedestrian flows to metro stations

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Yanan Liu ◽  
Dujuan Yang ◽  
Harry J. P. Timmermans ◽  
Bauke de Vries
Keyword(s):  
Built Environment ◽  
Route Choice ◽  
Local Area ◽  
Destination Choice ◽  
Built Environments ◽  
Renewal Processes ◽  
City Center ◽  
Metro Station ◽  
Route Choice Behavior ◽  
The City

AbstractIn urban renewal processes, metro line systems are widely used to accommodate the massive traffic needs and stimulate the redevelopment of the local area. The route choice of pedestrians, emanating from or going to the metro stations, is influenced by the street-scale built environment. Many renewal processes involve the improvement of the street-level built environment and thus influence pedestrian flows. To assess the effects of urban design on pedestrian flows, this article presents the results of a simulation model of pedestrian route choice behavior around Yingkoudao metro station in the city center of Tianjin, China. Simulated pedestrian flows based on 4 scenarios of changes in street-scale built environment characteristics are compared. Results indicate that the main streets are disproportionally more affected than smaller streets. The promotion of an intensified land use mix does not lead to a high increase in the number of pedestrians who choose the involved route when traveling from/to the metro station, assuming fixed destination choice.

scholarly journals Analysing the Impact of Pedestrian Network Centrality on Segment-Level Pedestrian Density

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Daniel M. Pearce ◽  
Ryoji Matsunaka ◽  
Tetsuharu Oba
Keyword(s):  
Built Environment ◽  
Significant Proportion ◽  
Centrality Measures ◽  
Network Centrality ◽  
Metro Station ◽  
Centrality Metrics ◽  
Environment Variables ◽  
Pedestrian Network ◽  
Study Sites ◽  
The Impact

Studies have shown that street network centrality measures are capable of explaining a significant proportion of pedestrian activity. These studies typically employ street centreline networks that differ significantly from the networks that pedestrians use to traverse the built environment. Presently, centrality approaches are rarely applied to dedicated pedestrian network (DPNs). This creates uncertainty regarding their ability to explain pedestrian activity when derived from DPNs. This study addresses that gap by investigating the extent to which centrality metrics derived from DPNs can explain observed pedestrian densities, both alone and when controlling for other built environment variables in metro station environments in Asia. In total, four DPNs were created centred on metro stations in Bangkok, Manila, Osaka, and Taipei chosen to represent different urban typologies. Multivariate results show that centrality metrics alone explain a mere 6–24% of observed pedestrian densities when calculated on DPNs. When all factors are considered, the contribution of centrality remained consistent in most study sites but is somewhat reduced with land-use variables and proximity to rail transit revealed as the strongest predictors of pedestrian density. Pedestrian design factors were also frequently associated with pedestrian density. Finally, stronger associations between centrality and pedestrian densities were observed in the denser, more complex pedestrian environments. These findings provide insight into the performance of centrality measures applied to DPNs expanding pedestrian network research in this area.

The Impact of Zoning and Built Environment Characteristics on Transit, Biking, and Walking

2019 ◽  
Vol 11 (1) ◽  
pp. 108-129
Author(s):  
Andrew G. Mueller ◽  
Daniel J. Trujillo
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Discrete Choice ◽  
Travel Behavior ◽  
Choice Model ◽  
Mode Choice ◽  
Land Use Regulation ◽  
Policy Action ◽  
Development Goals ◽  
The Impact

This study furthers existing research on the link between the built environment and travel behavior, particularly mode choice (auto, transit, biking, walking). While researchers have studied built environment characteristics and their impact on mode choice, none have attempted to measure the impact of zoning on travel behavior. By testing the impact of land use regulation in the form of zoning restrictions on travel behavior, this study expands the literature by incorporating an additional variable that can be changed through public policy action and may help cities promote sustainable real estate development goals. Using a unique, high-resolution travel survey dataset from Denver, Colorado, we develop a multinomial discrete choice model that addresses unobserved travel preferences by incorporating sociodemographic, built environment, and land use restriction variables. The results suggest that zoning can be tailored by cities to encourage reductions in auto usage, furthering sustainability goals in transportation.

Using Deep Learning to Understand Travel Demands in Different Urban Districts

2021 ◽  
pp. 036119812199458
Author(s):  
Shunhua Bai ◽  
Junfeng Jiao
Keyword(s):  
Built Environment ◽  
Travel Behavior ◽  
Prediction Accuracy ◽  
Travel Demand ◽  
Short Term Memory ◽  
Future Research ◽  
Demand Forecast ◽  
Time And Space ◽  
The University ◽  
The Impact

Travel demand forecast plays an important role in transportation planning. Classic models often predict people’s travel behavior based on the physical built environment in a linear fashion. Many scholars have tried to understand built environments’ predictive power on people’s travel behavior using big-data methods. However, few empirical studies have discussed how the impact might vary across time and space. To fill this research gap, this study used 2019 anonymous smartphone GPS data and built a long short-term memory (LSTM) recurrent neural network (RNN) to predict the daily travel demand to six destinations in Austin, Texas: downtown, the university, the airport, an inner-ring point-of-interest (POI) cluster, a suburban POI cluster, and an urban-fringe POI cluster. By comparing the prediction results, we found that: the model underestimated the traffic surge for the university in the fall semester and overestimated the demand for downtown on non-working days; the prediction accuracy for POI clusters was negatively related to their adjacency to downtown; and different POI clusters had cases of under- or overestimation on different occasions. This study reveals that the impact of destination attributes on people’s travel demand can vary across time and space because of their heterogeneous nature. Future research on travel behavior and built environment modeling should incorporate the temporal inconsistency to achieve better prediction accuracy.

Using Bluetooth to Estimate the Impact of Congestion on Pedestrian Route Choice at Train Stations

2014 ◽  
pp. 73-82 ◽  
Author(s):  
Jeroen van den Heuvel ◽  
Aral Voskamp ◽  
Winnie Daamen ◽  
Serge P. Hoogendoorn
Keyword(s):  
Route Choice ◽  
The Impact

scholarly journals IMPACT OF MEMENTO VALUE ON THE PERCEPTION OF CULTURAL HERITAGE: CASE STUDY OF THE MODERN MOVEMENT AND DIALECT OF KAUNAS / ATMINTIES VERTĖ SUVOKIANT KULTŪROS PAVELDĄ: MODERNIZMO JUDĖJIMO IR JO KAUNIETIŠKOJO DIALEKTO ATVEJO TYRIMAS

2018 ◽  
Vol 10 (0) ◽  
pp. 1-7
Author(s):  
Huriye Armagan DOGAN
Keyword(s):  
Built Environment ◽  
Cultural Heritage ◽  
Empirical Approach ◽  
The Past ◽  
Space And Time ◽  
The Impact ◽  
Modern Movement

Memento value in heritage is one of the most essential characteristics facilitating the association between the environment and its users, by connecting structures with space and time, moreover, it helps people to identify their surroundings. However, the emergence of the Modern Movement in the architectural sphere disrupted the reflection of memory and symbols which serve to root the society in its language. Furthermore, it generated an approach that stood against the practice of referring to the past and tradition, which led to the built environment becoming homogeneous and deprived of memento value. This paper focuses on the impact of memento value on the perception and evaluation of cultural heritage. Furthermore, it investigates the notions which are perceived to influence the appraisal of cultural heritage by applying them to the Kaunas dialect of the Modern Movement with an empirical approach.

scholarly journals Evacuation Data from a Hospital Outpatient Drill The Case Study of North Shore Hospital

2020 ◽  
Vol 5 ◽  
Author(s):  
Anass Rahouti ◽  
Ruggiero Lovreglio ◽  
Phil Jackson ◽  
Sélim Datoussaïd
Keyword(s):  
Built Environment ◽  
Fire Safety ◽  
Movement Time ◽  
Data Set ◽  
Healthcare Facilities ◽  
Staff Members ◽  
North Shore ◽  
The North ◽  
The Impact

Assessing the fire safety of buildings is fundamental to reduce the impact of this threat on their occupants. Such an assessment can be done by combining existing models and existing knowledge on how occupants behave during fires. Although many studies have been carried out for several types of built environment, only few of those investigate healthcare facilities and hospitals. In this study, we present a new behavioural data-set for hospital evacuations. The data was collected from the North Shore Hospital in Auckland (NZ) during an unannounced drill carried out in May 2017. This drill was recorded using CCTV and those videos are analysed to generate new evacuation model inputs for hospital scenarios. We collected pre-movement times, exit choices and total evacuation times for each evacuee. Moreover, we estimated pre-movement time distributions for both staff members and patients. Finally, we qualitatively investigated the evacuee actions of patients and staff members to study their interaction during the drill. The results show that participants were often independent from staff actions with a majority able to make their own decision.

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